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8 pages, 2833 KiB  
Communication
Enhanced Peelability and Quality of Whiteleg Shrimp (Litopenaeus vannamei) Using Pulsed Electric Field (PEF) Treatment
by Gyeong-Seo Park, Hyeon Seo, Han-Baek Lee, Ji-Won Lee, Hafiz Muhammad Shahbaz, Se-Ho Jeong and Dong-Un Lee
Foods 2025, 14(2), 148; https://doi.org/10.3390/foods14020148 (registering DOI) - 7 Jan 2025
Abstract
This study investigated the effects of pulsed electric field (PEF) treatment on the peeling efficiency and textural properties of whiteleg shrimp (Litopenaeus vannamei). Shrimp samples were treated at field strengths of 0, 1.0, 1.5, and 2.0 kV/cm to assess PEF impact [...] Read more.
This study investigated the effects of pulsed electric field (PEF) treatment on the peeling efficiency and textural properties of whiteleg shrimp (Litopenaeus vannamei). Shrimp samples were treated at field strengths of 0, 1.0, 1.5, and 2.0 kV/cm to assess PEF impact on peeling force, incomplete peeling percentage, and texture profile. The results showed that PEF treatment significantly reduced the peeling force from 50.88 N in controls to 42.99 N at 2.0 kV/cm, while the percentage of incompletely peeled shrimp decreased from 27.5% to 15.9%. Texture profile analysis indicated that PEF treatment had no impact on the key properties of hardness and chewiness (no significant difference), with a reduction in springiness observed at higher field strengths. Improvements in peelability are attributed to electroporation, which disrupts collagen in the connective tissue between the shrimp shell and muscle. These findings indicate that PEF treatment is an efficient, non-thermal method for enhancing shrimp peeling processes while preserving textural integrity. PEF technology offers a promising alternative to traditional mechanical and thermal methods in the seafood processing industry. Full article
(This article belongs to the Special Issue Optimization of Non-thermal Technology in Food Processing)
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Figure 1
<p>Peeling force (<b>a</b>) and incompletely peeled percentage (<b>b</b>) for shrimp after PEF treatment with different field strengths (n = 40). The error bar for the peeling force values (<b>a</b>) represents standard deviation, and letters (<b>a</b>,<b>b</b>) indicate significant differences for each sample (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Appearance of PEF-treated shrimp before and after peeling. The scale bar of the images is 3 cm.</p>
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11 pages, 2717 KiB  
Article
The Pre-Polarization and Concentration of Cells near Micro-Electrodes Using AC Electric Fields Enhances the Electrical Cell Lysis in a Sessile Drop
by Kishor Kaphle and Dharmakeerthi Nawarathna
Biosensors 2025, 15(1), 22; https://doi.org/10.3390/bios15010022 - 6 Jan 2025
Viewed by 272
Abstract
Cell lysis is the starting step of many biomedical assays. Electric field-based cell lysis is widely used in many applications, including point-of-care (POC) applications, because it provides an easy one-step solution. Many electric field-based lysis methods utilize micro-electrodes to apply short electric pulses [...] Read more.
Cell lysis is the starting step of many biomedical assays. Electric field-based cell lysis is widely used in many applications, including point-of-care (POC) applications, because it provides an easy one-step solution. Many electric field-based lysis methods utilize micro-electrodes to apply short electric pulses across cells. Unfortunately, these cell lysis devices produce relatively low cell lysis efficiency as electric fields do not reach a significant portion of cells in the sample. Additionally, the utility of syringe pumps for flow cells in and out of the microfluidics channel causes cell loss and low throughput cell lysis. To address these critical issues, we suspended the cells in a sessile drop and concentrated on the electrodes. We used low-frequency AC electric fields (1 Vpp, 0–100 kHz) to drive the cells effectively towards electrodes and lysed using a short pulse of 10 V. A post-lysis analysis was performed using a hemocytometer, UV-vis spectroscopy, and fluorescence imaging. The results show that the pre-electric polarization of cells, prior to applying short electrical pulses, enhances the cell lysis efficiency. Additionally, the application of AC electric fields to concentrate cells on the electrodes reduces the assay time to about 4 min. In this study, we demonstrated that low-frequency AC electric fields can be used to pre-polarize and concentrate cells near micro-electrodes and improve cell lysis efficiency. Due to the simplicity and rapid cell lysis, this method may be suitable for POC assay development. Full article
(This article belongs to the Special Issue Lab-on-a-Chip Devices for Point-of-Care Diagnostics)
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Figure 1
<p>Calculated electric field (<b>a</b>) and electric field gradients (<b>b</b>) in the vicinity of the interdigitated electrodes used for cell lysis experiments. Scale bars indicate 5 µm.</p>
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<p>Variation in cell lysis efficiency and cell count (after application lysis electric field) with experimental conditions used in the study. Control: cells from the tube left at room temperature; Immediate: immediately after pipetting cells on the electrodes; Gravity: settling cells under gravity; nDEP: after applying negative DEP and pDEP: after applying positive DEP.</p>
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<p>The quantification of nucleic acid (<b>a</b>) and protein molecules (<b>b</b>) in the buffer after concentrating cells on the electrodes using gravity settling, immediately after pipetting cell sample on the electrodes, applying nDEP, pDEP. For all these conditions, the cell samples were lysed applying 10 V pulse for 2 s.</p>
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<p>Concentration of cellular DNA on T-electrodes using AC electric fields. (<b>a</b>) Picture of interdigitated T-electrodes. (<b>b</b>–<b>d</b>) fluorescence images of T-electrodes after applying no electric potential, 10 Vpp (1 MHz), 10 Vpp (500 kHz), respectively. Scale bars show 10 µm.</p>
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<p>Concentration of cellular DNA on T-electrodes using AC electric fields (10 Vpp, 1 MHz). (<b>a</b>) Image of T-electrodes (from concentrated cells) without cell lysis. (<b>b</b>) Image of T-electrodes (from concentrated cells) on T-electrodes after electrical cell lysis. White circles show the concentrated DNA molecules on the electrodes. Scale bars show 20 µm.</p>
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30 pages, 3092 KiB  
Review
Towards a Greener Future: Sustainable Innovations in the Extraction of Lavender (Lavandula spp.) Essential Oil
by Sara Hedayati, Mohammad Tarahi, Arghavan Madani, Seyed Mohammad Mazloomi and Mohammad Hashem Hashempur
Foods 2025, 14(1), 100; https://doi.org/10.3390/foods14010100 - 2 Jan 2025
Viewed by 644
Abstract
Lavender is one of the most appreciated aromatic plants, with high economic value in food, cosmetics, perfumery, and pharmaceutical industries. Lavender essential oil (LEO) is known to have demonstrative antimicrobial, antioxidant, therapeutic, flavor and fragrance properties. Conventional extraction methods, e.g., steam distillation (SD) [...] Read more.
Lavender is one of the most appreciated aromatic plants, with high economic value in food, cosmetics, perfumery, and pharmaceutical industries. Lavender essential oil (LEO) is known to have demonstrative antimicrobial, antioxidant, therapeutic, flavor and fragrance properties. Conventional extraction methods, e.g., steam distillation (SD) and hydro-distillation (HD), have been traditionally employed to extract LEO. However, the low yield, high energy consumption, and long extraction time of conventional methods have prompted the introduction of novel extraction technologies. Some of these innovative approaches, such as ohmic-assisted, microwave-assisted, supercritical fluid, and subcritical water extraction approaches, are used as substitutes to conventional extraction methods. While other methods, e.g., sonication, pulsed electric field, and cold plasma, can be used as a pre-treatment that is preceded by conventional or emerging extraction technologies. These innovative approaches have a great significance in reducing the energy consumption, shortening the extraction time, and increasing the extraction yield and the quality of EOs. Therefore, they can be considered as sustainable extraction technologies. However, the scale-up of emerging technologies to an industrial level should also be investigated from the techno-economic points of view in future studies. Full article
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<p>Photographs of four common lavender species: (<b>A</b>) <span class="html-italic">L. angustifolia</span>; (<b>B</b>) <span class="html-italic">L. latifolia</span>; (<b>C</b>) <span class="html-italic">L. stoechas</span>; and (<b>D</b>) <span class="html-italic">L. × intermedia</span>.</p>
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<p>A schematic diagram of the supercritical CO<sub>2</sub> extraction technique. The numbers 1, 2 and 3 indicate the stopping valves; adapted from Danh et al. [<a href="#B71-foods-14-00100" class="html-bibr">71</a>].</p>
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<p>A schematic diagram of the subcritical water extraction system; adapted from Díaz-Reinoso et al. [<a href="#B94-foods-14-00100" class="html-bibr">94</a>].</p>
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<p>A schematic diagram of the microwave-assisted steam distillation (MASD) system; adapted from Périno-Issartier et al. [<a href="#B108-foods-14-00100" class="html-bibr">108</a>].</p>
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<p>A schematic diagram of the dielectric barrier discharge (DBD) plasma system; adapted from Ucar et al. [<a href="#B127-foods-14-00100" class="html-bibr">127</a>].</p>
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<p>A schematic diagram of the ohmic-accelerated steam distillation (OASD) system; adapted from Gavahian and Chu [<a href="#B132-foods-14-00100" class="html-bibr">132</a>].</p>
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21 pages, 1609 KiB  
Article
Exploring Feed Digestibility and Broiler Performance in Response to Dietary Supplementation of Chlorella vulgaris
by Sofie Van Nerom, Kobe Buyse, Filip Van Immerseel, Johan Robbens and Evelyne Delezie
Animals 2025, 15(1), 65; https://doi.org/10.3390/ani15010065 - 30 Dec 2024
Viewed by 410
Abstract
This study evaluated the feed digestibility of diets including autotrophic Chlorella (C.) vulgaris in 252 male broilers (Ross 308), comparing unprocessed biomass (trial 1) and pulsed electric field (PEF) processed biomass (trial 2) at inclusion levels up to 20%. In trial 2, performance [...] Read more.
This study evaluated the feed digestibility of diets including autotrophic Chlorella (C.) vulgaris in 252 male broilers (Ross 308), comparing unprocessed biomass (trial 1) and pulsed electric field (PEF) processed biomass (trial 2) at inclusion levels up to 20%. In trial 2, performance and meat color were also evaluated. Each trial included seven treatments (0%, 1%, 2%, 5%, 10%, 15%, and 20% (%w/w on dry matter (DM)) C. vulgaris) with six replicates (three birds per replicate) per treatment. Data were analyzed using linear, quadratic, and broken-line models. Control feeds without microalgae inclusion achieved a crude protein digestibility of 82.04 ± 1.42% (trial 1) and 81.63 ± 1.90% (trial 2), while feed with 20% non-processed microalgae inclusion only had a protein digestibility of 66.96 ± 1.16% (trial 1) and feed with PEF processed microalgae at 20% had a protein digestibility of 72.75 ± 0.34% (trial 2). In general, increasing inclusion levels of C. vulgaris impaired nutrient digestibility, significantly reducing crude protein, crude fat, gross energy, and crude ash digestibility (p < 0.001). Broken-line models identified critical inclusion thresholds beyond which digestibility declined significantly, i.e., at 10% for crude protein, 12.53% for crude fat, and 9.26% for gross energy in unprocessed microalgae feeds (trial 1). For PEF-processed microalgae, only a broken line fit was obtained for gross energy, with a breakpoint at 5% (trial 2). Furthermore, a significant linear decrease in body weight (BW) (p < 0.001), average daily gain (ADG) (p < 0.001), average daily feed intake (ADFI) (p = 0.006), and relative and absolute breast filet weight was observed as microalgae inclusion level increased (trial 2). Color parameters also changed significantly with increasing microalgae inclusion level: L* showed a significant linear decrease (p = 0.029), b* and a* showed a significant linear increase (p < 0.001) (trial 2). This research advances the exploration of sustainable protein alternatives, highlighting the potential of microalgae in broiler feed and the benefits of processing methods such as PEF to enhance nutrient utilization. Full article
(This article belongs to the Section Poultry)
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<p>Relation between microalgae inclusion level in the feed and crude protein digestibility. Broken-line model (segmented) (blue, solid line, breakpoint: 10.00% [CI: 7.25%, 12.75%] slope before breakpoint: −0.32 [CI: −0.43, −0.22], slope after breakpoint: −1.12 [CI: −1.38, −0.87], Davies-test: <span class="html-italic">p</span>-value: 0.148), linear model (red, dotted line, slope: −0.69 [CI: −0.77, −0.61], <span class="html-italic">p</span> &lt; 0.001), and quadratic (black, dashed line, <span class="html-italic">p</span> &lt; 0.001) model describing the relationship between crude protein digestibility of the feed (%<span class="html-italic">w/w</span> on DM) and inclusion level of unprocessed autotrophic microalgae (A) (left figure, trial 1, n = 6). Linear model (red, dotted line, slope: −0.49 [CI: −0.55, −0.43], <span class="html-italic">p</span> &lt; 0.001) and quadratic model (black, dashed line) (<span class="html-italic">p</span> &lt; 0.001) describing the relationship between crude protein digestibility of the feed (%<span class="html-italic">w/w</span> on DM) and inclusion level of PEF-processed autotrophic microalgae (APEF) (right figure, trial 2, n = 6). Black dots indicate measured data points. PEF: pulsed electric field. CI: confidence interval.</p>
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<p>Relation between microalgae inclusion level in the feed and crude fat digestibility. Broken-line model (segmented) (blue, solid line, breakpoint: 12.53% [CI: 10.41%; 14.65%], slope before breakpoint: −0.56 [CI: −0.88, −0.23], slope after breakpoint: −3.13 [CI: −3.91, −2.35], Davies-test: <span class="html-italic">p</span>-value: 0.930), linear model (red, dotted line, slope: −1.39 [CI: −1.61, −1.17], <span class="html-italic">p</span> &lt; 0.001), and quadratic model (black, dashed line) (<span class="html-italic">p</span> &lt; 0.001) describing the relationship between crude fat digestibility of the feed (%<span class="html-italic">w</span>/<span class="html-italic">w</span> on DM) and inclusion level of unprocessed autotrophic microalgae (A) (left figure, trial 1, n = 6). Linear model (red, dotted line, slope: −0.65 [CI: −0.77, −0.53], <span class="html-italic">p</span> &lt; 0.001) and quadratic model (black, dashed line, <span class="html-italic">p</span> &lt; 0.001) describing the relationship between crude fat digestibility of the feed (%<span class="html-italic">w</span>/<span class="html-italic">w</span> on DM) and inclusion level of PEF-processed autotrophic microalgae (APEF) (right figure, trial 2, n = 6). Black dots indicate measured data points. PEF: pulsed electric field. CI: confidence interval.</p>
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<p>Relation between microalgae inclusion level in the feed and gross energy digestibility. Broken-line model (segmented) (blue, solid line, breakpoint: 9.26% [CI: 4.98%, 13.54%], slope before breakpoint: −0.1 [CI: −0.59, 0.39], slope after breakpoint: −1.07 [CI: −1.34, −0.79], Davies-test: <span class="html-italic">p</span>-value: 0.125), linear model (red, dotted line, slope: −0.58 [CI: −0.70, −0.45], <span class="html-italic">p</span> &lt; 0.001), and quadratic model (black, dashed line, <span class="html-italic">p</span> &lt; 0.001) describing the relationship between gross energy digestibility of the feed (%w/w on DM) and inclusion level of unprocessed autotrophic microalgae (A) (left figure, trial 1, n = 6). Broken-line model (segmented) (blue, solid line, breakpoint: 5 [CI: −6.11, 16.11], slope before breakpoint: −0.09 [CI: −0.74, 0.57], slope after breakpoint: −0.34 [CI: −0.42, −0.25], Davies-test: <span class="html-italic">p</span>-value: 0.641), linear model (red, dotted line, slope: −0.28 [CI: −0.33, −0.28], <span class="html-italic">p</span> &lt; 0.001), and quadratic model (black, dashed line, <span class="html-italic">p</span> &lt; 0.001) describing the relationship between gross energy digestibility of the feed (%w/w on DM) and inclusion level of PEF-processed autotrophic microalgae (APEF) in the feed (%) (right figure, trial 2, n = 6). Black dots indicate measured data points. PEF: pulsed electric field. CI: confidence interval.</p>
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<p>Relation between microalgae inclusion level in the feed and crude ash digestibility. Linear model (red, dotted line, slope: −0.53 [CI: −0.61, −0.45], <span class="html-italic">p</span> &lt; 0.001) and quadratic model (black, dashed line, <span class="html-italic">p</span> &lt; 0.001) describing the relationship between crude ash digestibility of the feed (%w/w on DM) and inclusion level of autotrophic microalgae (A) (left figure, trial 1, n = 6). Linear model (red, dotted line, slope: −0.44 [CI: −0.55, −0.34], <span class="html-italic">p</span> &lt; 0.001) and quadratic model (black, dashed line) (<span class="html-italic">p</span> &lt; 0.001) describing the relationship between crude ash digestibility of the feed (%w/w on DM) and inclusion level of PEF-processed autotrophic microalgae (APEF) (right figure, trial 2, n = 6). Black dots indicate measured data points. PEF: pulsed electric field. CI: confidence interval.</p>
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<p>Essential amino acids levels relative to lysine (%) of <span class="html-italic">C. vulgaris</span> used in the current study and of soybean meal 48 reported by CVB, (2018).</p>
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19 pages, 2277 KiB  
Article
Optimization of Carotenoids and Other Antioxidant Compounds Extraction from Carrot Peels Using Response Surface Methodology
by Martha Mantiniotou, Vassilis Athanasiadis, Dimitrios Kalompatsios and Stavros I. Lalas
Biomass 2025, 5(1), 3; https://doi.org/10.3390/biomass5010003 - 30 Dec 2024
Viewed by 307
Abstract
Carrots, scientifically known as Daucus carota L., are among the most popular and widely consumed vegetables. They are used for cooking and juice production, both industrially and in households, resulting in large amounts of waste each year, mainly from the peel. The peels [...] Read more.
Carrots, scientifically known as Daucus carota L., are among the most popular and widely consumed vegetables. They are used for cooking and juice production, both industrially and in households, resulting in large amounts of waste each year, mainly from the peel. The peels are rich in antioxidant compounds that can be used either as cosmetics or as food and feed additives. Therefore, in this work, the extraction of these compounds was optimized using green techniques (pulsed electric field and/or ultrasonication) and solvents. Response surface methodology was applied to achieve the optimization. Under optimum conditions, the total polyphenol yield was 8.26 mg gallic acid equivalents per g dry weight (dw) and the total carotenoid content was 137.44 μg β-carotene equivalents per g dw. The optimum extract reportedly showed an antioxidant capacity of 76.57 μmol ascorbic acid equivalents (AAE) per g dw by FRAP assay and 63.48 μmol AAE per g dw by DPPH assay, while the total ascorbic acid content was 2.55 mg per g dw. Furthermore, chromatographic quantification of individual bioactive compounds through a diode array detector was performed, wherein catechin yielded the highest proportion (18.6%) of the total 6.88 mg/g dw. This study addressed inquiries regarding the valorization of bioactive compounds from carrot peels, as well as several strategies for recovering their diverse bioactive components using green procedures and solvents. Full article
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<p>The optimal extraction of the carrot peels is depicted in 3D graphs, illustrating the effects of the process variables on the response, specifically the TPC. Plot (<b>A</b>) displays the covariation of <span class="html-italic">X</span><sub>1</sub> and <span class="html-italic">X</span><sub>2</sub>; plot (<b>B</b>) displays the covariation of <span class="html-italic">X</span><sub>1</sub> and <span class="html-italic">X</span><sub>3</sub>; plot (<b>C</b>) represents the covariation of <span class="html-italic">X</span><sub>1</sub> and <span class="html-italic">X</span><sub>4</sub>; plot (<b>D</b>) demonstrates the covariation of <span class="html-italic">X</span><sub>2</sub> and <span class="html-italic">X</span><sub>3</sub>; plot (<b>E</b>), exhibits the covariation of <span class="html-italic">X</span><sub>2</sub> and <span class="html-italic">X</span><sub>4</sub>; plot (<b>F</b>) reveals the covariation of <span class="html-italic">X</span><sub>3</sub> and <span class="html-italic">X</span><sub>4</sub>.</p>
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<p>Transformed estimates for TPC (<b>A</b>), FRAP (<b>B</b>), DPPH (<b>C</b>), AAC (<b>D</b>), and TCC (<b>E</b>) assays are represented by Pareto plots. A pink asterisk was included in each plot to denote the significance level (<span class="html-italic">p</span> &lt; 0.05). Blue bars indicate positive effects, while red bars represent negative effects.</p>
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<p>Principal component analysis (PCA) was applied to the measured variables, with each <span class="html-italic">X</span> variable represented in blue.</p>
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<p>The desirability function illustrated with extrapolation control and partial least squares (PLS) prediction profiler for optimizing the carrot peel extracts is depicted in Plot (<b>A</b>). Plot (<b>B</b>) displays the variable importance plot (VIP) option values for each predictor variable. A blue dashed line at the 0.8 mark on the VIT indicates each variable’s significance level.</p>
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<p>Exemplary HPLC chromatograms of the optimal carrot peel extract in the UV spectra reveal the identified phenolic compounds. Plot (<b>A</b>) displays the phenolic compounds, while plot (<b>B</b>) presents the flavonoids. 1: β-Resorcylic acid; 2: Chlorogenic acid; 3: Pyrocatechuic acid; 4: Caffeic acid; 5: <span class="html-italic">p</span>-Coumaric acid; 6: Ferulic acid; 7: (+)-Catechin hydrate; 8: Rutin; 9: Quercetin-3-<span class="html-italic">O</span>-galactoside; 10: Apigenin-7-<span class="html-italic">O</span>-glucoside; 11: 4′-Hydroxychalcone; 12: Chrysin.</p>
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25 pages, 3570 KiB  
Review
Contemporary Trends in Pulsed Field Ablation for Cardiac Arrhythmias
by Hagai Yavin, Mark Prasad, Jonathan Gordon, Tolga Aksu and Henry D. Huang
J. Cardiovasc. Dev. Dis. 2025, 12(1), 10; https://doi.org/10.3390/jcdd12010010 - 30 Dec 2024
Viewed by 365
Abstract
Pulsed field ablation (PFA) is a catheter-based procedure that utilizes short high voltage and short-duration electrical field pulses to induce tissue injury. The last decade has yielded significant scientific progress and quickened interest in PFA as an energy modality leading to the emergence [...] Read more.
Pulsed field ablation (PFA) is a catheter-based procedure that utilizes short high voltage and short-duration electrical field pulses to induce tissue injury. The last decade has yielded significant scientific progress and quickened interest in PFA as an energy modality leading to the emergence of the clinical use of PFA technologies for the treatment of atrial fibrillation. It is generally agreed that more research is needed to improve our biophysical understanding of PFA for clinical cardiac applications as well as its potential as a potential alternative energy source to thermal ablation modalities for the treatment of other arrhythmias. In this review, we discuss the available preclinical and clinical evidence for PFA for atrial fibrillation, developments for ventricular arrhythmia (VA) ablation, and future perspectives. Full article
(This article belongs to the Special Issue Heart Rhythm Disorders: Diagnosis, Treatment, and Management)
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<p>Conceptual figures showing an association between proximity of the electrode and relationship between strength of the electric field which may result in irreversible and reversible cellular electroporation. Theoretical differences between unipolar and bipolar configurations on biophysics of pulsed electric field delivery.</p>
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<p>Clinical and investigation catheter technologies for pulsed field ablation.</p>
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<p>(<b>A</b>) In four swine, direct ablation with PFA and RFA within the lumen of the esophagus were performed to assess the effect of PFA on esophagus tissue. <b>Left</b>, 3D anatomical map of the esophagus and RA. Red dots represent RFA while green dots, PFA. <b>Middle,</b> gross pathology demonstrates direct ablation to the esophageal lumen, interchangeably with PFA and RFA. <b>Right</b>, histological slides of PF and RF lesions show mild edema and focal superficial necrosis in PFA lesions, while RFA shows severe edema, necrosis, and hemorrhage spanning to the deep muscularis layers. (<b>B</b>) In six swine, 5.5 (1–8) PFA applications were placed on the endocardial RA, opposing the phrenic nerve. These did not result in phrenic nerve paralysis. Comparison RF ablation. <b>Left</b>, anatomical map with the course of the right phrenic nerve identified by pacing the lateral RA marked in light-blue tags. Green tags represent PFA and red represent RFA. <b>Middle</b>, gross pathology of the phrenic nerve with clear lesions at RFA sites opposed to the healthy-looking tissue at the PFA sites. <b>Right</b>, histological analysis at PFA application sites demonstrating PFA selectively affected cardiomyocytes but spared blood vessels and nervous tissue.</p>
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<p>(<b>A</b>) First pulsed field ablation (PFA) application from left atrium near right superior pulmonary vein induces a profound vagal response. (<b>B</b>) The red spherical tags show radiofrequency lesions given nearby the PFA lesion where acute vagal response was obtained which are indicated with blue and green spherical tags (from superior view). Although radiofrequency (RF) lesions did not induce further vagal response after PFA application, RF applications were performed to ensure long-term parasympathetic denervation. Image reproduced with permission from Sikiric et al. <span class="html-italic">J. Interv. Card Electrophysiol.</span> (2024).</p>
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<p>(<b>A</b>) shows penta-spline pulsed field ablation (PFA) catheter positioned at the right superior ganglionic plexus. (<b>B</b>) shows penta-spline PFA catheter position at the left superior and right inferior ganglionic plexuses.</p>
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14 pages, 2561 KiB  
Article
Surface Hydrophilic Modification of Polypropylene by Nanosecond Pulsed Ar/O2 Dielectric Barrier Discharge
by Yang Zhou, Zhi Fang, Yi Zhang, Tingting Li and Feng Liu
Materials 2025, 18(1), 95; https://doi.org/10.3390/ma18010095 - 29 Dec 2024
Viewed by 409
Abstract
Polypropylene (PP) membranes have found diverse applications, such as in wastewater treatment, lithium-ion batteries, and pharmaceuticals, due to their low cost, excellent mechanical properties, thermal stability, and chemical resistance. However, the intrinsic hydrophobicity of PP materials leads to membrane fouling and filtration flux [...] Read more.
Polypropylene (PP) membranes have found diverse applications, such as in wastewater treatment, lithium-ion batteries, and pharmaceuticals, due to their low cost, excellent mechanical properties, thermal stability, and chemical resistance. However, the intrinsic hydrophobicity of PP materials leads to membrane fouling and filtration flux reduction, which greatly hinders the applications of PP membranes. Dielectric barrier discharge (DBD) is an effective technique for surface modification of materials because it generates a large area of low-temperature plasma at atmospheric pressure. In this study, O2 was added to nanosecond pulsed Ar DBD to increase its reactivity. Electrical and optical diagnostic techniques were used to study the discharge characteristics of the DBD at varying O2 contents. The uniformity of the discharge was quantitatively analyzed using the observed discharge images. Water contact angle measurements were used to assess the surface hydrophilicity of polypropylene. The surface morphology and chemical composition of the PP materials before and after treatment were analyzed using field emission scanning electron microscopy (FE-SEM), atomic force microscopy (AFM), Fourier-transform infrared spectroscopy (FTIR), and X-ray photoelectron spectroscopy (XPS). The results show that the moderate addition of O2 enhances surface hydrophilicity and the uniformity of the modification. By increasing the O2 addition from 0% to 0.1%, the average power increased from 4.19 W to 5.79 W, and the energy efficiency increased from 17.78% to 21.51%. The water contact angle of the DBD-treated PP showed a tendency to decrease and then increase with increasing O2 content, with the optimum O2 addition determined to be 0.1%. Under this condition, the water contact angle of the PP surface decreased by 31.88°, which is 52.31% lower than the untreated surface. O2 increases the number of oxygen-containing polar groups (-OH, C=O, and O-C=O) on the surface of the material, and deepens and densifies the grooves on the surface of the PP material, resulting in an increase in the hydrophilicity of the PP surface. Full article
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<p>Experimental setup and measurement system of DBD surface modification.</p>
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<p>(<b>a</b>) Discharge images of nanosecond pulsed Ar DBDs under different O<sub>2</sub> contents. (<b>b</b>) The water contact angle on the PP surface under various oxygen additions. Fixed-point distribution of water contact angle of (<b>c</b>) Ar, (<b>d</b>) Ar/O<sub>2</sub> (0.1%), and (<b>e</b>) Ar/O<sub>2</sub> (1%). Radial distribution of water contact angle of (<b>f</b>) Ar, (<b>g</b>) Ar/O<sub>2</sub> (0.1%), and (<b>h</b>) Ar/O<sub>2</sub> (1%).</p>
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<p>Results of the separation of (<b>a</b>) applied voltage <span class="html-italic">U</span><sub>t</sub> and (<b>b</b>) loop total current <span class="html-italic">I</span><sub>t</sub>. (<b>c</b>) Trend of average power and energy efficiency at various oxygen additions. (<b>d</b>) Trend of transfer charge at various oxygen additions. (<b>e</b>) Typical emission spectra of the DBD under Ar conditions. (<b>f</b>) Trend of major particle intensities in Ar DBD emission spectra at various oxygen additions.</p>
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<p>Surface morphology of PP surface at typical points by SEM of (<b>a</b>) untreated, (<b>b</b>) Ar, and (<b>c</b>) Ar/O<sub>2</sub> (0.1%); 3D micromorphology of PP surface at typical points by AFM of (<b>d</b>) untreated, (<b>e</b>) Ar, and (<b>f</b>) Ar/O<sub>2</sub> (0.1%). (<b>g</b>) The comparison of R<sub>q</sub> and R<sub>a</sub> of the material surface at various oxygen additions. (<b>h</b>) The ATR-FTIR spectra of polypropylene under different treatment conditions.</p>
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<p>XPS spectrum of (<b>a</b>) untreated, (<b>b</b>) Ar DBD-treated, and (<b>c</b>) Ar/O<sub>2</sub> (0.1%) DBD-treated, C1s spectra of (<b>d</b>) untreated, (<b>e</b>) Ar DBD-treated, and (<b>f</b>) Ar/O<sub>2</sub> (0.1%) DBD-treated. O1s spectra of (<b>g</b>) untreated, (<b>h</b>) Ar DBD-treated, and (<b>i</b>) Ar/O<sub>2</sub> (0.1%) DBD-treated.</p>
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<p>Illustration of the PP surface modification process using Ar/O<sub>2</sub> DBD.</p>
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20 pages, 9261 KiB  
Article
Characterization of Mesenchymal and Neural Stem Cells Response to Bipolar Microsecond Electric Pulses Stimulation
by Giorgia Innamorati, Marina Sanchez-Petidier, Giulia Bergafora, Camilla Codazzi, Valentina Palma, Francesca Camera, Caterina Merla, Franck M. André, Maria Pedraza, Victoria Moreno Manzano, Laura Caramazza, Micol Colella, Paolo Marracino, Marco Balucani, Francesca Apollonio, Micaela Liberti and Claudia Consales
Int. J. Mol. Sci. 2025, 26(1), 147; https://doi.org/10.3390/ijms26010147 - 27 Dec 2024
Viewed by 333
Abstract
In the tissue regeneration field, stem cell transplantation represents a promising therapeutic strategy. To favor their implantation, proliferation and differentiation need to be controlled. Several studies have demonstrated that stem cell fate can be controlled by applying continuous electric field stimulation. This study [...] Read more.
In the tissue regeneration field, stem cell transplantation represents a promising therapeutic strategy. To favor their implantation, proliferation and differentiation need to be controlled. Several studies have demonstrated that stem cell fate can be controlled by applying continuous electric field stimulation. This study aims to characterize the effect of a specific microsecond electric pulse stimulation (bipolar pulses of 100 µs + 100 µs, delivered for 30 min at an intensity of 250 V/cm) to induce an increase in cell proliferation on mesenchymal stem cells (MSCs) and induced neural stem cells (iNSCs). The effect was evaluated in terms of (i) cell counting, (ii) cell cycle, (iii) gene expression, and (iv) apoptosis. The results show that 24 h after the stimulation, cell proliferation, cell cycle, and apoptosis are not affected, but variation in the expression of specific genes involved in these processes is observed. These results led us to investigate cell proliferation until 72 h from the stimulation, observing an increase in the iNSCs number at this time point. The main outcome of this study is that the microsecond electric pulses can modulate stem cell proliferation. Full article
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
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<p>No significant effect of µsPEFs on cell number. Number of (<b>A</b>) iNSCs and (<b>B</b>) MSCs assessed through cell counting 24 h after the µsPEFs stimulation, comparing the number of stimulated cells with the sham. Mean values ± SEM are shown (n = 10). Statistics performed by unpaired Two-tailed t-test. Significant differences were recognized as a <span class="html-italic">p</span>-value &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>No significant effect of µsPEFs on iNSC cell cycle. Cell cycle analysis of iNSCs performed through propidium iodide (PI)/RNase staining buffer 24 h after the µsPEFs stimulation, comparing the stimulated cells with the sham. (<b>A</b>) Histogram example of the cell cycle analysis of the sham. (<b>B</b>) Histogram example of the cell cycle analysis of the stimulated cells. (<b>C</b>) Bar graph summarizing the effect of µsPEFs stimulation on cell cycle. (<b>D</b>) Mean values ± SEM are shown (n = 3). Statistics performed by unpaired Two-tailed t-test. Significant differences were recognized as a <span class="html-italic">p</span>-value &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>No significant effect of µsPEFs on MSCs cell cycle. Cell cycle analysis of MSCs performed through propidium iodide (PI)/RNase staining buffer 24 h after the µsPEFs stimulation, comparing the stimulated cells with the sham. (<b>A</b>) Histogram example of the cell cycle analysis of the sham. (<b>B</b>) Histogram example of the cell cycle analysis of the stimulated cells. (<b>C</b>) Bar graph summarizing the effect of µsPEFs stimulation on cell cycle. (<b>D</b>) Mean values ± SEM are shown (n = 3). Statistics performed by unpaired Two-tailed t-test. Significant differences were recognized as a <span class="html-italic">p</span>-value &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>No significant increase in Caspase-3 level in iNSCs after 24 h from the stimulation with µsPEFs. Apoptosis in iNSCs was evaluated by assessing variation in Caspase-3 cleavage through the Western blot analysis, comparing the stimulated cells with sham. (<b>A</b>) The Western blot analysis of Caspase-3 cleavage showing the protein level of pro-Caspase-3 (35 kDa), cleaved Caspase-3 (19–17 kDa), and β-actin (42 kDa) as the loading control. (<b>B</b>) Bar graph summarizing the variation in protein level after densitometric analysis, comparing the stimulated cells with the sham. Mean values ± SEM are shown (n = 3). Statistics performed by unpaired Two-tailed <span class="html-italic">t</span>-test. Significant differences were recognized as a <span class="html-italic">p</span>-value &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>No significant increase in Caspase-3 level in MSCs after 24 h from the stimulation with µsPEFs. Apoptosis in MSCs was evaluated by assessing variation in Caspase-3 cleavage through the Western blot analysis, comparing the stimulated cells with sham. (<b>A</b>) The Western blot analysis of Caspase-3 cleavage showing the protein level of pro-Caspase-3 (35 kDa), cleaved Caspase-3 (19–17 kDa), and β-actin (42 kDa) as the loading control. (<b>B</b>) Bar graph summarizing the variation in protein level after densitometric analysis, comparing the stimulated cells with the sham. Mean values ± SEM are shown (n = 3). Statistics performed by unpaired Two-tailed t-test. Significant differences were recognized as a <span class="html-italic">p</span>-value &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>IEGs expression resulting from µsPEFs stimulation. IEGs expression evaluated through qRT-PCR 1 h after the µsPEFs stimulation. (<b>A</b>) Bar graph representing the IEGs expression in iNSCs. (<b>B</b>) Bar graph representing the IEGs expression in MSCs. Mean values ± SEM are shown (n = 9). Statistics performed by unpaired Two-tailed <span class="html-italic">t</span>-test. Significant differences were recognized as a <span class="html-italic">p</span>-value &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Gene expression resulting from the µsPEFs stimulation of iNSCs. The expression of the genes involved in proliferation, cell cycle, and apoptosis evaluated through qRT-PCR in iNSCs 24 h after the stimulation, comparing the stimulated cells with the sham. Mean values ± SEM are shown (n = 9). Statistics performed by unpaired Two-tailed <span class="html-italic">t</span>-test. Significant differences were recognized as a <span class="html-italic">p</span>-value &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Gene expression resulting from the µsPEFs stimulation of MSCs. The expression of the genes involved in proliferation, cell cycle, and apoptosis evaluated through qRT-PCR in MSCs 24 h after the stimulation, comparing the stimulated cells with the sham. Mean values ± SEM are shown (n = 9). Statistics performed by unpaired Two-tailed <span class="html-italic">t</span>-test. Significant differences were recognized as a <span class="html-italic">p</span>-value &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Expression of genes involved in stemness resulting from µsPEFs stimulation. The expression of the genes involved in stemness evaluated through qRT-PCR in (<b>A</b>) iNSCs and (<b>B</b>) MSCs 24 h after the stimulation, comparing the stimulated cells with the sham. Mean values ± SEM are shown (n = 9). Statistics performed by unpaired Two-tailed <span class="html-italic">t</span>-test. Significant differences were recognized as a <span class="html-italic">p</span>-value &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Analysis of iNSCs proliferation, after 24 h, 48 h, and 72 h from the stimulation. (<b>A</b>) Growth curve obtained by counting the stimulated cells and sham at different time points. Mean values ± SEM are shown (n = 3). (<b>B</b>) Representative images of Ki-67 staining performed on iNSCs with and without the stimulation at different time points. Cell labeled with Ki-67 (red) and DAPI (cyan). Scale bars: 50 μm. (<b>C</b>) Percentage of Ki-67-positive cells. Statistics were performed by two-way ANOVA followed by post hoc analysis with the Sidak test. Significant differences were recognized as a value <span class="html-italic">p</span> &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; ** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Analysis of MSCs proliferation, after 24 h, 48 h, and 72 h from the stimulation. (<b>A</b>) Growth curve obtained by counting the stimulated cells and sham at different time points. Mean values ± SEM are shown (n = 3). (<b>B</b>) Representative images of Ki-67 staining performed on iNSCs with and without the stimulation at different time points. Cell labeled with Ki-67 (red) and DAPI (cyan). Scale bars: 50 μm. (<b>C</b>) Percentage of Ki-67-positive cells. Statistics were performed by two-way ANOVA followed by post hoc analysis with the Sidak test. Significant differences were recognized as a value <span class="html-italic">p</span> &lt; 0.05 and indicated with asterisks as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Representation of the exposure system used and the output signal describing the µsPEFs stimulation protocol. (<b>A</b>) PDMS holder was fabricated to maintain the titanium electrodes parallel and at 1 cm from each other. A picture of the incubator setup and a detail of the wire’s connection is shown. (<b>B</b>) Waveform delivered by the ELECTROcell B15 generator. (<b>C</b>) System model and electromagnetic stimulation result assessing the uniform exposure on the cells when the pulses are delivered.</p>
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<p>Schematic representation of the experimental protocol followed.</p>
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22 pages, 4221 KiB  
Article
Pulsed Electric Field (PEF) Treatment Results in Growth Promotion, Main Flavonoids Extraction, and Phytochemical Profile Modulation of Scutellaria baicalensis Georgi Roots
by Kajetan Grzelka, Adam Matkowski, Grzegorz Chodaczek, Joanna Jaśpińska, Anna Pawlikowska-Bartosz, Wojciech Słupski, Dorota Lechniak, Małgorzata Szumacher-Strabel, Segun Olorunlowu, Karolina Szulc, Adam Cieślak and Sylwester Ślusarczyk
Int. J. Mol. Sci. 2025, 26(1), 100; https://doi.org/10.3390/ijms26010100 - 26 Dec 2024
Viewed by 252
Abstract
This study aims to explore the effect of pulsed electric field (PEF) treatment as a method very likely to result in reversible electroporation of Scutellaria baicalensis Georgi underground organs, resulting in increased mass transfer and secondary metabolites leakage. PEF treatment with previously established [...] Read more.
This study aims to explore the effect of pulsed electric field (PEF) treatment as a method very likely to result in reversible electroporation of Scutellaria baicalensis Georgi underground organs, resulting in increased mass transfer and secondary metabolites leakage. PEF treatment with previously established empirically tailored parameters [E = 0.3 kV/cm (U = 3 kV, d = 10 cm), t = 50 µs, N = 33 f = 1 Hz] was applied 1–3 times to S. baicalensis roots submerged in four different Natural Deep Eutectic Solvents (NADES) media (1—choline chloride/xylose (1:2) + 30% water, 2—choline chloride/glucose (1:2) + 30% water, 3—choline chloride/ethylene glycol (1:2), and 4—tap water (EC = 0.7 mS/cm). Confocal microscopy was utilized to visualize the impact of PEF treatment on the root cells in situ. As a result of plant cell membrane permeabilization, an extract containing major active metabolites was successfully acquired in most media, achieving the best results using medium 1 and repeating the PEF treatment twice (baicalein <LOQ, baicalin 12.85 µg/mL, wogonin 2.15 µg/mL, and wogonoside 3.01 µg/mL). Wogonin concentration in NADES media was on par with the control (plants harvested on the day of the experiment, ultrasound-mediated methanolic extraction, Cwogonin = 2.15 µg/mL). After successful extraction, PEF treatment allowed the plants to continue growing, with the lowest survival rate across treated groups being 60%. Additionally, an enhancement in plant growth parameters (length and fresh mass of the roots) and significant changes in the S. baicalensis root phytochemical profile were also observed. Full article
(This article belongs to the Special Issue Plant Resilience: Insights into Abiotic and Biotic Stress Adaptations)
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Figure 1
<p>Three-dimensional confocal microscopy images of PI-stained <span class="html-italic">S. baicalensis</span> root sample after PEF administration of the following E: (<b>A</b>)—control, (<b>B</b>)—1 kV/cm, (<b>C</b>)—3 kV/cm, (<b>D</b>)—7.5 kV/cm in H<sub>2</sub>O. The yellow arrowheads indicate the PI-stained nuclei and the arrows in the lower row images indicate the thickness of penetrated layer depending on the applied voltage (<a href="#app1-ijms-26-00100" class="html-app">Table S1</a>).</p>
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<p>The number of nuclei per mm<sup>2</sup> of the root section with means and standard deviations (±SD). Successfully stained by PI depending on electric field strength (V) and usage of buffer (HEPES). Statistically significant responses (**** <span class="html-italic">p</span> &lt; 0.00005; ANOVA with Tukey’s multiple comparison test). Differences and tendencies when compared to the control group. More details are included in the <a href="#app1-ijms-26-00100" class="html-app">Supplementary Materials (Tables S1 and S2)</a>.</p>
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<p>HPLC chromatograms (λ = 280 nm) of <span class="html-italic">S. baicalensis</span> methanolic (control) and NADES extracts; PEF treatment repeated 3 times; subgroups named according to <a href="#ijms-26-00100-t001" class="html-table">Table 1</a>; main peaks numbered according to <a href="#ijms-26-00100-t002" class="html-table">Table 2</a> numeration.</p>
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<p>The average (Avg) specific energy input (Wspec) delivered to <span class="html-italic">S. baicalensis</span> roots during PEF treatment. The error bars indicate the standard deviation (±SD).</p>
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<p>Average concentrations of wogonoside in electroporation media after PEF treatment. The green line indicates the average concentration across treated groups (1.85 μg/mL). The error bars indicate the standard deviation (±SD).</p>
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<p>Average concentrations of wogonin in electroporation media after PEF treatment. The green line indicates the average concentration across treated groups (0.83 μg/mL). Symbols correspond to statistically significant (**** <span class="html-italic">p</span> &lt; 0.00005; *** <span class="html-italic">p</span> &lt; 0.0005 * <span class="html-italic">p</span> &lt; 0.05 <span class="html-italic">t</span>-test results for independent groups) differences and tendencies when compared to the control group. The error bars indicate the standard deviation (±SD).</p>
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<p>Average increase in <span class="html-italic">S. baicalensis</span> root and shoot length after PEF treatment over a three-week period. Symbols correspond to statistically significant (**** <span class="html-italic">p</span> &lt; 0.00005; *** <span class="html-italic">p</span> &lt; 0.0005 ** <span class="html-italic">p</span> &lt; 0.005 * <span class="html-italic">p</span> &lt; 0.05) <span class="html-italic">t</span>-test results for independent group differences and tendencies when compared to the control group. The error bars indicate the standard deviation (±SD).</p>
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<p>Average concentrations of main flavonoids in the <span class="html-italic">S. baicalensis</span> root extract—glucuronic acids, baicalin. Symbols correspond to statistically significant (**** <span class="html-italic">p</span> &lt; 0.00005; ** <span class="html-italic">p</span> &lt; 0.005 * <span class="html-italic">p</span> &lt; 0.05) <span class="html-italic">t</span>-test results for independent groups. The error bars indicate the standard deviation (±SD).</p>
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<p>Average concentrations of main flavonoids in the <span class="html-italic">S. baicalensis</span> root extract—glucuronic acids, wogonoside. Symbols correspond to statistically significant (**** <span class="html-italic">p</span> &lt; 0.00005; ** <span class="html-italic">p</span> &lt; 0.005 * <span class="html-italic">p</span> &lt; 0.05) <span class="html-italic">t</span>-test results for independent groups. The error bars indicate the standard deviation (± SD).</p>
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<p>Average concentrations of main flavonoids in the <span class="html-italic">S. baicalensis</span> root extract—aglycone comparison, baicalein. Symbols correspond to statistically significant (**** <span class="html-italic">p</span> &lt; 0.00005; ** <span class="html-italic">p</span> &lt; 0.005 * <span class="html-italic">p</span> &lt; 0.05) <span class="html-italic">t</span>-test results for independent groups. The error bars indicate the standard deviation (±SD).</p>
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<p>Average concentrations of main flavonoids in the <span class="html-italic">S. baicalensis</span> root extract—aglycone comparison, wogonin. Symbols correspond to statistically significant (** <span class="html-italic">p</span> &lt; 0.005 * <span class="html-italic">p</span> &lt; 0.05) <span class="html-italic">t</span>-test results for independent groups. The error bars indicate the standard deviation (±SD).</p>
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<p>Six-week-old <span class="html-italic">S. baicalensis</span> cultivated in X-stream aero systems on the day of the experiment, right before the electroporation procedure (<b>A</b>), and three weeks after PEF treatment (<b>B</b>).</p>
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<p>Oscilloscope images of delivered pulses in real time depending on the solvent used. ((<b>1</b>)—choline chloride/xylose (1:2) + 30% water, (<b>2</b>)—choline chloride/glucose (1:2) + 30% water, (<b>3</b>)—choline chloride/ethylene glycol (1:2), and (<b>4</b>)—tap water. The yellow line indicates recorded pulse intensity U [kV], and the blue line, the impedance [A]. The differential probe was set at 2000×, and the oscilloscope recording was magnified by 1000×, meaning that the real U values were twice the recorded amount.</p>
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16 pages, 5513 KiB  
Article
A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation System
by Liang-Hung Wang, Zhen-Nan Zhang, Chao-Xin Xie, Hao Jiang, Tao Yang, Qi-Peng Ran, Ming-Hui Fan, I-Chun Kuo, Zne-Jung Lee, Jian-Bo Chen, Tsung-Yi Chen, Shih-Lun Chen and Patricia Angela R. Abu
Sensors 2025, 25(1), 33; https://doi.org/10.3390/s25010033 - 24 Dec 2024
Viewed by 385
Abstract
Epilepsy, as a common brain disease, causes great pain and stress to patients around the world. At present, the main treatment methods are drug, surgical, and electrical stimulation therapies. Electrical stimulation has recently emerged as an alternative treatment for reducing symptomatic seizures. This [...] Read more.
Epilepsy, as a common brain disease, causes great pain and stress to patients around the world. At present, the main treatment methods are drug, surgical, and electrical stimulation therapies. Electrical stimulation has recently emerged as an alternative treatment for reducing symptomatic seizures. This study proposes a novel closed-loop epilepsy detection system and stimulation control chip. A time-domain detection algorithm based on amplitude, slope, line length, and signal energy characteristics is introduced. A new threshold calculation method is proposed; that is, the threshold is updated by means of the mean and standard deviation of four consecutive eigenvalues through parameter combination. Once a seizure is detected, the system begins to control the stimulation of a two-phase pulse current with an amplitude and frequency of 34 μA and 200 Hz, respectively. The system is physically designed on the basis of the UMC 55 nm process and verified by a field programmable gate array verification board. This research is conducted through innovative algorithms to reduce power consumption and the area of the circuit. It can maintain a high accuracy of more than 90% and perform seizure detection every 64 ms. It is expected to provide a new treatment for patients with epilepsy. Full article
(This article belongs to the Special Issue Intelligent Medical Sensors and Applications)
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<p>Diagram of the system.</p>
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<p>Threshold solution process.</p>
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<p>Block diagram of digital circuit.</p>
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<p>SPI interface data flow.</p>
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<p>State control flowchart.</p>
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<p>Circuits of the feature detection module, including four comparators (i.e., C1, C2, C3, andC4), and eight AND gates (i.e., A1, A2,…, and A8) and one OR gate (i.e., O1).</p>
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<p>Circuits of the feature calculation module.</p>
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<p>Threshold calculation.</p>
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<p>One pulse stimulation cycle.</p>
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<p>Block diagram design of the stimulation module (The red dotted lines are submodules).</p>
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<p>FPGA test results.</p>
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<p>Integral digital layout.</p>
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<p>Simulation results of proposed circuit.</p>
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<p>Digital analog hybrid simulation.</p>
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16 pages, 3229 KiB  
Article
The Effect of Unconventional Technologies on Carbon Emissions During the Convective Drying of Yellow Mealworm (Tenebrio molitor L.) Larvae and the Selected Physical Properties Thereof
by Radosław Bogusz, Katarzyna Pobiega, Ewa Gondek, Artur Wiktor, Dorota Witrowa-Rajchert and Małgorzata Nowacka
Agriculture 2024, 14(12), 2366; https://doi.org/10.3390/agriculture14122366 - 23 Dec 2024
Viewed by 392
Abstract
The drying of insects is an important step in their processing. This research aimed to investigate the impact of a pulsed electric field (PEF), immersion in ethanol (EtOH), and combined (immersion in EtOH followed by PEF) treatment on the convective drying process, the [...] Read more.
The drying of insects is an important step in their processing. This research aimed to investigate the impact of a pulsed electric field (PEF), immersion in ethanol (EtOH), and combined (immersion in EtOH followed by PEF) treatment on the convective drying process, the emission of CO2, and the quality of the dried insects with regard to such elements as water content and activity, rehydration and hygroscopic properties, optical properties, internal structure, and microbiological quality. In applying a PEF, the drying time was made longer (up to 21%), but the rehydration and hygroscopic properties were improved (about 15–16.5% and 8.3–21.7%, respectively) compared to the untreated sample. Using a PEF prior to EtOH treatment improved the rehydration properties (about 3.9–5.9%), while the hygroscopicity was slightly lower compared to the PEF-treated samples. Furthermore, immersion in ethanol (both alone and after PEF) provided a lighter color of dried insects and more outstanding microbiological quality, e.g., the absence of water-borne and food-borne pathogens and anaerobic spore-forming bacteria. This study revealed that combined pretreatment seems to be the most promising method for insects as regards obtaining better rehydration and comparable hygroscopic properties, as well as an attractive color compared to untreated insects, and, above all, in ensuring suitable microbiological quality. Full article
(This article belongs to the Section Agricultural Technology)
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<p>Drying kinetics of yellow mealworm larvae: (<b>a</b>) untreated (U) and pretreated with PEF (PEF5 and PEF20—pulsed electric field with specific energy consumption of 5 and 20 kJ/kg, respectively), and (<b>b</b>) combined pretreatment with ethanol (EtOH) followed by PEF.</p>
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<p>The emission of CO<sub>2</sub> during the drying of yellow mealworm larvae: without pretreatment (U), pretreated with PEF (PEF5 and PEF20—pulsed electric field with specific energy consumption of 5 and 20 kJ/kg, respectively), and combined pretreatment with ethanol (EtOH) followed by PEF, a,b; the same letters above columns denote no significant differences between mean values (Tukey’s HSD, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The hygroscopic kinetics of dried yellow mealworm larvae: without pretreatment (U), pretreated with PEF (PEF5 and PEF20—pulsed electric field with specific energy consumption of 5 and 20 kJ/kg, respectively), and combined pretreatment with ethanol (EtOH) followed by PEF. Dotted lines represent values obtained from mathematical modeling.</p>
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<p>Photos of dried yellow mealworm larvae: without pretreatment (U), pretreated with PEF (PEF5 and PEF20—pulsed electric field with specific energy consumption of 5 and 20 kJ/kg, respectively), and treated with combined pretreatment of ethanol (EtOH) followed by PEF.</p>
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<p>Microstructure of dried yellow mealworm larvae: without pretreatment (U), pretreated with PEF (PEF5 and PEF20—pulsed electric field with specific energy consumption of 5 and 20 kJ/kg, respectively), and treated via combined pretreatment with ethanol (EtOH) followed by PEF.</p>
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39 pages, 4052 KiB  
Article
Evaluation of a New Kind of Z-Pinch-Based Space Propulsion Engine: Theoretical Foundations and Design of a Proof-of-Concept Experiment
by S. K. H. Auluck, R. Verma and R. S. Rawat
Plasma 2024, 7(4), 939-977; https://doi.org/10.3390/plasma7040052 - 19 Dec 2024
Viewed by 467
Abstract
This paper explores a recently proposed scalable z-pinch-based space propulsion engine in greater detail. This concept involves a “modified plasma focus with a tapered anode that transports current from a pulsed power source to a consumable portion of the anode in the form [...] Read more.
This paper explores a recently proposed scalable z-pinch-based space propulsion engine in greater detail. This concept involves a “modified plasma focus with a tapered anode that transports current from a pulsed power source to a consumable portion of the anode in the form of a hypodermic needle tube continuously extruded along the axis of the device”. This tube is filled with a gas at a high pressure and also optionally with an axial magnetic field. The current enters the metal tube through its contact with the anode and returns to the cathode via the plasma sliding over its outer wall. The resulting rapid electrical explosion of the metal tube partially transfers current to a snowplough shock in the fill gas. Both the metal plasma and the fill gas form axisymmetric converging shells. Their interaction forms a hot and dense plasma of the fill gas surrounded by the metal plasma. Its ejection along the axis provides the impulse needed for propulsion. In a nonnuclear version, the fill gas could be xenon or hydrogen. Its unique energy density scaling could potentially lead to a neutron-deficient nuclear fusion drive based on the proton-boron avalanche fusion reaction by lining the tube with solid decaborane. In order to explore the inherent potential of this idea as a scalable space propulsion engine, this paper discusses its theoretical foundations and outlines the first iteration of a conceptual engineering design study for a proof-of-concept experiment based on the UNU-ICTP Plasma Focus facility at the Nanyang Technological University, Singapore. Full article
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<p>(<b>a</b>) The device profile is schematically represented by thick lines—Green for the initial surface, black for anode and cathode and red for the HNT. Characteristics from points on the anode are shown using dashed lines. The reference surfaces are shown using solid lines. See the text for more details. (<b>b</b>) A zoomed view of the HNT region. The reference surface is actually perpendicular, and the characteristic is tangent to the HNT at the point of contact, but the variation is too sharp to be displayed graphically. The parameters of this profile correspond to anode radius a = 9.5 mm, insulator radius 7 mm, cathode radius 32 mm, insulator height 30 mm, stem height 30 mm, taper height 75 mm and, HNT + End Cap height 20 mm. The diameter of the 34-gauge HNT is 0.16 mm. The dimensions are chosen to be close to those of the existing plasma focus facility.</p>
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<p>Variation of dimensionless dynamic inductance <math display="inline"><semantics> <mrow> <mi mathvariant="fraktur">L</mi> <mfenced> <mo>τ</mo> </mfenced> </mrow> </semantics></math> as a function of dimensionless time <math display="inline"><semantics> <mo>τ</mo> </semantics></math>. The blue part is from the stem region, the red from the taper region and green from the HNT region. <math display="inline"><semantics> <mrow> <msub> <mo>τ</mo> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">n</mi> </mrow> </msub> <mo>=</mo> <mn>0.6094</mn> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mo>τ</mo> <mi mathvariant="normal">S</mi> </msub> <mo>=</mo> <mn>6.773</mn> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mo>τ</mo> <mi mathvariant="normal">T</mi> </msub> <mo>=</mo> <mn>14.797</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mo>τ</mo> <mrow> <mi mathvariant="normal">H</mi> <mi mathvariant="normal">N</mi> <mi mathvariant="normal">T</mi> </mrow> </msub> <mo>=</mo> <mn>14.831</mn> </mrow> </semantics></math>.</p>
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<p>Current normalized to I<sub>0</sub> as a function of time normalized to the quarter cycle time of the capacitor bank. The device parameters are: insulator radius 10 mm, stem radius 16 mm, cathode radius 50 mm, insulator height 30 mm, stem height 40 mm, taper height 120 mm, HNT radius 0.08 mm and HNT height 25 mm. The fill gas is hydrogen at a pressure of 6.5 mbar.</p>
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<p>Fraction of energy <math display="inline"><semantics> <mrow> <msub> <mo>η</mo> <mi mathvariant="normal">C</mi> </msub> </mrow> </semantics></math> remaining in the capacitor, <math display="inline"><semantics> <mrow> <msub> <mo>η</mo> <mi mathvariant="normal">M</mi> </msub> </mrow> </semantics></math> stored as magnetic energy, <math display="inline"><semantics> <mrow> <msub> <mo>η</mo> <mi mathvariant="normal">D</mi> </msub> </mrow> </semantics></math> magnetic energy associated with the dynamic inductance, <math display="inline"><semantics> <mrow> <msub> <mo>η</mo> <mi mathvariant="normal">R</mi> </msub> </mrow> </semantics></math> dissipated in the resistance and, <math display="inline"><semantics> <mrow> <msub> <mo>η</mo> <mi mathvariant="normal">K</mi> </msub> </mrow> </semantics></math> the remaining energy that includes kinetic, thermal and internal energy of the plasma. The red-coloured portions of the <math display="inline"><semantics> <mrow> <msub> <mo>η</mo> <mi mathvariant="normal">M</mi> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mo>η</mo> <mi mathvariant="normal">C</mi> </msub> </mrow> </semantics></math> curves correspond to the lift-off phase.</p>
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<p>Final deuterium temperature in keV as a function of the fill gas pressure at 300 K in bars.</p>
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<p>Perspective view of MPFPA.</p>
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<p>Cross-sectional view of MPFPA.</p>
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<p>Cross-section of the pulse power interface.</p>
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<p>Ballistic pendulum.</p>
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16 pages, 27934 KiB  
Article
The Study on the Propagation of a Driving Laser Through Gas Target Using a Neural Network: Interaction of Intense Laser with Atoms
by Xinyu Wang, Yuanyuan Qiu, Yue Qiao, Fuming Guo, Jun Wang, Gao Chen, Jigen Chen and Yujun Yang
Symmetry 2024, 16(12), 1670; https://doi.org/10.3390/sym16121670 - 17 Dec 2024
Viewed by 472
Abstract
High-order harmonic generation is one of the ways to generate attosecond ultra-short pulses. In order to accurately simulate the high-order harmonic emission, it is necessary to perform fast and accurate calculations on the interaction between the atoms and strong laser fields. The accurate [...] Read more.
High-order harmonic generation is one of the ways to generate attosecond ultra-short pulses. In order to accurately simulate the high-order harmonic emission, it is necessary to perform fast and accurate calculations on the interaction between the atoms and strong laser fields. The accurate profile of the laser field is obtained from the propagation through the gas target. Under the conditions of longer wavelength driving lasers and higher gas densities, the calculation of the laser field becomes more challenging. In this paper, we utilize the driving laser electric field information obtained from numerically solving the three-dimensional Maxwell’s equations as data for machine learning, enabling the prediction of the propagation process of intense laser fields using an artificial neural network. It is found that the simulation based on frequency domain can improve the accuracy of electric field by two orders of magnitude compared with the simulation directly from time domain. On this basis, the feasibility of the transfer learning scheme for laser field prediction is further studied. This study lays a foundation for the rapid and accurate simulation of the interaction between intense laser and matter by using an artificial neural network scheme. Full article
(This article belongs to the Section Physics)
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<p>Neural network architecture for training in the frequency domain. (<b>a</b>) The hidden part of the neural network consists of several fully connected (dense) layers and four 1D convolutional layer blocks and 1D upsampling layers. The activation function of the layer is hyperbolic tangent. The loss function is mean square error (MSE). The output is the real and imaginary parts of the electric field after Fourier transform. (<b>b</b>) The dataset consists of three parameters (<math display="inline"><semantics> <mrow> <mi mathvariant="normal">I</mi> <mo>∈</mo> <mfenced separators="" open="[" close="]"> <mn>5</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> <mo>,</mo> <mn>6</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mfenced> <mo>,</mo> <mi mathvariant="normal">z</mi> <mo>∈</mo> <mrow> <mo>[</mo> <mo>−</mo> <mn>0.5</mn> <mspace width="3.33333pt"/> <mi>mm</mi> <mo>,</mo> <mn>0.5</mn> <mspace width="3.33333pt"/> <mi>mm</mi> <mo>]</mo> </mrow> <mo>,</mo> <mrow> <mrow> <mi mathvariant="normal">r</mi> <mo>∈</mo> <mo>[</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> <mo>,</mo> <mn>20</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> <mo>]</mo> </mrow> <mrow> </mrow> </mrow> </semantics></math>).</p>
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<p>Training and validation curves of the real part of the electric field for dataset sizes of 100, 200, and 300.</p>
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<p>(<b>a</b>,<b>b</b>) are the real and imaginary parts of the electric field after Fourier transform, and electric field when the radial distance <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>6</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, and the propagation position is <math display="inline"><semantics> <mrow> <mn>0.38</mn> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>, respectively. For (<b>a</b>), the solid line represents the true value, and the dotted line represents the predicted value; for (<b>b</b>), the orange solid line represents the result of numerical calculation, and the blue dotted line represents the result of neural network prediction. (<b>c</b>,<b>d</b>) the evolution of electric field with time at different propagation positions. The orange solid line represents the result of numerical solution of Maxwell’s equation, and the blue dotted line represents the result of neural network prediction.</p>
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<p>The evolution of ionized electron density with propagation distance when the laser intensity is <math display="inline"><semantics> <mrow> <mn>5</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>. (<b>a</b>) the result of numerical solution of Maxwell’s equation; (<b>b</b>) the result of neural network prediction.</p>
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<p>Dipole moments at different propagation positions when the radial distance <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>5</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>. (<b>a</b>) propagation position is −0.5 <math display="inline"><semantics> <mrow> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>; (<b>b</b>) partially enlarged details of (<b>a</b>); (<b>c</b>) propagation position is 0 mm; (<b>d</b>) propagation position is 0.5 mm. The red solid line represents the true value, and the green dotted line represents the predicted value.</p>
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<p>(<b>a</b>,<b>b</b>) are statistical criteria for model prediction results. (<b>a</b>) MASE. The black line represents all the points of the light field, and the red line represents the points greater than <math display="inline"><semantics> <mrow> <mn>10</mn> <mo>%</mo> </mrow> </semantics></math> of the peak intensity of the light field. (<b>b</b>) MAPE and NMSE at different propagation positions. (<b>c</b>,<b>d</b>) are the distribution of electric field predicted value and true value. (<b>c</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>6</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, and the propagation position is −0.45<math display="inline"><semantics> <mrow> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>6</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, and the propagation position is <math display="inline"><semantics> <mrow> <mn>0.38</mn> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>,<b>b</b>) are statistical criteria for model prediction results. (<b>a</b>) MAPE. The black represents all the points of the light field, and the red line represents the points greater than <math display="inline"><semantics> <mrow> <mn>10</mn> <mo>%</mo> </mrow> </semantics></math> of the peak intensity of the light field. (<b>b</b>) MAPE and NMSE at different propagation positions. (<b>c</b>,<b>d</b>) are the distributions of electric field predicted value and true value. (<b>c</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>4.5</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, and the propagation position is −0.10<math display="inline"><semantics> <mrow> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>4.5</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, and the propagation position is <math display="inline"><semantics> <mrow> <mn>0.50</mn> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>,<b>b</b>) are statistical criteria for model prediction results. (<b>a</b>) MAPE. The black line represents all the points of the light field, and the red line represents the points greater than <math display="inline"><semantics> <mrow> <mn>10</mn> <mo>%</mo> </mrow> </semantics></math> of the peak intensity of the light field. (<b>b</b>) MAPE and NMSE at different propagation positions. (<b>c</b>,<b>d</b>) are the distribution of electric field predicted value and true value. (<b>c</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>6.5</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, and the propagation position is −0.1<math display="inline"><semantics> <mrow> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>6.5</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, and the propagation position is <math display="inline"><semantics> <mrow> <mn>0.50</mn> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>.</p>
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<p>Two examples of predicting electric fields using transfer learning techniques. (<b>a</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>10</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>5</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, and the propagation position is −0.4<math display="inline"><semantics> <mrow> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>10</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>6</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, and the propagation position is <math display="inline"><semantics> <mrow> <mn>0.38</mn> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>. The orange solid line represents the result of numerical calculation, and the blue dotted line represents the result of neural network prediction. Activation function: tanh, <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="normal">N</mi> <mrow> <mi>train</mi> <mspace width="4.pt"/> </mrow> </msub> <mo>=</mo> <mn>100</mn> </mrow> </semantics></math>.</p>
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<p>Statistical criteria for model prediction results. The radial distance <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the laser intensity is <math display="inline"><semantics> <mrow> <mn>6</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>. The graph shows the results of the surrogate and transfer learning models, represented by the solid and dotted lines, respectively.</p>
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<p>The distribution of electric field predicted value and true value. The laser intensity is <math display="inline"><semantics> <mrow> <mn>6</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>; (<b>a</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, and the propagation position is <math display="inline"><semantics> <mrow> <mn>0.46</mn> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>10</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>, the propagation position is −0.25 <math display="inline"><semantics> <mrow> <mspace width="3.33333pt"/> <mi>mm</mi> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) Training data under different Gaussian white noise; (<b>b</b>) Training and validation curves of the real part of the electric field, for noise <math display="inline"><semantics> <mi>σ</mi> </semantics></math> of <math display="inline"><semantics> <mrow> <mn>0</mn> <mo>,</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> </mrow> </semantics></math>, 3; (<b>c</b>–<b>e</b>) The distribution of the real part of the electric field predict value and true value. (<b>c</b>) <math display="inline"><semantics> <mrow> <mi>σ</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi>σ</mi> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math>; (<b>e</b>) <math display="inline"><semantics> <mrow> <mi>σ</mi> <mo>=</mo> <mn>3</mn> </mrow> </semantics></math>.</p>
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<p>Absolute errors of time–domain and frequency–domain model predictions. The parameters of the example are <math display="inline"><semantics> <mrow> <mi mathvariant="normal">I</mi> <mo>=</mo> <mn>6</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="3.33333pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> <mo>,</mo> <mi>z</mi> <mo>=</mo> <mn>0.08</mn> <mspace width="3.33333pt"/> <mi>mm</mi> <mo>,</mo> <mi mathvariant="normal">r</mi> <mo>=</mo> <mn>0</mn> <mspace width="3.33333pt"/> <mo>μ</mo> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>.</p>
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19 pages, 2143 KiB  
Article
Release of Biopolymers from Saccharomyces cerevisiae Biomass Through Thermal and Non-Thermal Technologies
by Marianna Ciccone, Muhammad Rehan Khan, Junior Bernardo Molina Hernandez, Joel Armando Njieukam, Lorenzo Siroli, Davide Gottardi, Rosalba Lanciotti, Pietro Rocculi and Francesca Patrignani
Microorganisms 2024, 12(12), 2596; https://doi.org/10.3390/microorganisms12122596 - 15 Dec 2024
Viewed by 1080
Abstract
Components of yeast cell walls, such as β-glucans and mannoproteins, show promise for developing sustainable biopolymers for food packaging. Efficient extraction, however, is challenging due to the complexity of the yeast cell wall. This study explored high-pressure homogenisation (HPH) and pulsed electric fields [...] Read more.
Components of yeast cell walls, such as β-glucans and mannoproteins, show promise for developing sustainable biopolymers for food packaging. Efficient extraction, however, is challenging due to the complexity of the yeast cell wall. This study explored high-pressure homogenisation (HPH) and pulsed electric fields (PEFs), alone and with heat treatment (TT), on bakery yeast (BY) and brewery spent yeast (BSY) biomasses. In the treated samples we assessed carbohydrates, proteins, β-glucans, and mannoproteins and evaluated cell wall disruption microscopically. HPH caused complete cell disintegration, enhancing intracellular release, while PEF primarily permeabilised the membranes. Combined HPH and PEF treatments significantly increased cell wall stress, leading to partial disintegration. Notably, the β-glucans released reached 3.90 g/100 g dry matter in BY and 10.44 g/100 g dry matter in BSY, demonstrating significant extraction improvements. These findings highlight the potential of HPH and PEF for enhancing β-glucan recovery from yeast biomass, offering a promising route for sustainable biopolymer production for food packaging. Full article
(This article belongs to the Section Microbial Biotechnology)
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Figure 1

Figure 1
<p>Microstructure (observation magn. 100×) of cell dispersions of <span class="html-italic">Saccharomyces cerevisiae</span> obtained after various treatments. (<b>A</b>) Not treated sample of BY; (<b>B</b>) not treated sample of BSY; (<b>C</b>) HPH+TT sample of BY; (<b>D</b>) HPH+TT sample of BSY.</p>
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<p>Microstructure (observation magn. 100×) of cell dispersions of <span class="html-italic">Saccharomyces cerevisiae</span> obtained after various treatments. (<b>A</b>) PEF sample of BY; (<b>B</b>) PEF sample of BSY; (<b>C</b>) HPH+PEF sample of BY; (<b>D</b>) HPH+PEF sample of BSY.</p>
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<p>Concentration of carbohydrates (mg/mL) in the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Concentration of proteins (mg/mL) of the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>β-glucan content (g/100 g dry matter) of the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05). *: below the detection limit (1 g/100 g).</p>
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<p>Mannose content (g/100 g dry matter) of the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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15 pages, 10133 KiB  
Article
Enhanced Energy Storage Performance in La-Doped CaBi4Ti4O15 Films Through the Formation of a Weakly Coupled Relaxor
by Quanlong Liu, Lei Zhang, Jun Ouyang, Yan Liu, Zhehong Tang, Jieyu Chen, Fei Guo and Yunpeng Zhou
Nanomaterials 2024, 14(24), 1998; https://doi.org/10.3390/nano14241998 - 13 Dec 2024
Viewed by 487
Abstract
Relaxor ferroelectric film capacitors exhibit high power density with ultra-fast charge and discharge rates, making them highly advantageous for consumer electronics and advanced pulse power supplies. The Aurivillius-phase bismuth layered ferroelectric films can effectively achieve a high breakdown electric field due to their [...] Read more.
Relaxor ferroelectric film capacitors exhibit high power density with ultra-fast charge and discharge rates, making them highly advantageous for consumer electronics and advanced pulse power supplies. The Aurivillius-phase bismuth layered ferroelectric films can effectively achieve a high breakdown electric field due to their unique insulating layer ((Bi2O2)2+ layer)). However, designing and fabricating Aurivillius-phase bismuth layer relaxor ferroelectric films with optimal energy storage characteristics is challenging due to their inherently stable ferroelectric properties. In this work, lead-free CaBi4-xLaxTi4O15 films were synthesized using the sol–gel technique and a weakly coupled relaxor design. On one hand, the introduction of La3+ ions weaken the dipole–dipole interactions, thereby enhancing the relaxor behavior. Alternatively, the expansion of grain size is restricted to enhance the number of grain boundaries, which possess improved insulating properties. This leads to a higher breakdown electric field. The results indicate that CaBi4-xLaxTi4O15 (x = 1.0) films exhibit excellent recoverable energy storage density (70 J/cm3) and high energy efficiency (73%). Moreover, the film exhibited good temperature stability and frequency stability. This study not only identifies a promising material for dielectric film capacitors but also demonstrates that the energy storage capabilities of Aurivillius-phase bismuth layer ferroelectric films can be effectively modulated through a design incorporating weakly coupled relaxor characteristics. Full article
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Figure 1
<p>(<b>a</b>) The crystal structure diagram of CaBi<sub>4</sub>Ti<sub>4</sub>O<sub>15</sub> film. (<b>b</b>) XRD patterns of CBLT-<span class="html-italic">x</span> (<span class="html-italic">x</span> = 0.0, 0.8, 1.0, and 1.2) films. (<b>c</b>) Raman spectra of CBLT-<span class="html-italic">x</span> (<span class="html-italic">x</span> = 0.0, 0.8, 1.0, and 1.2) films.</p>
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<p>(<b>a<sub>1</sub></b>–<b>d<sub>1</sub></b>) Surface SEM images of CBLT-<span class="html-italic">x</span> (<span class="html-italic">x</span> = 0.0, 0.8, 1.0, and 1.2) films, and the inset shows the corresponding cross-sectional SEM images of CBLT-0.0, CBLT-0.8, CBLT-1.00, and CBLT-1.2 films, respectively. (<b>a<sub>2</sub></b>–<b>a</b><sub>5</sub>) EDS mapping images of specific elements (Ca, Bi, Ti, and O) of CBLT-0.0 film. (<b>b<sub>2</sub></b>–<b>b</b><sub>6</sub>) EDS mapping images of specific elements (Ca, Bi, La, Ti, and O) of CBLT-0.8 film. (<b>c<sub>2</sub></b>–<b>c<sub>6</sub></b>) EDS mapping images of specific elements (Ca, Bi, La, Ti, and O) of CBLT-1.0 film. (<b>d<sub>2</sub></b>–<b>d<sub>6</sub></b>) EDS mapping images of specific elements (Ca, Bi, La, Ti, and O) of CBLT-1.2 film.</p>
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<p>(<b>a</b>) Ca 2p, (<b>b</b>) Bi 4f, (<b>c</b>) Ti 2p and (<b>d</b>) O 1s XPS spectra of CBLT-<span class="html-italic">x</span> (<span class="html-italic">x</span> = 0.0, 0.8, 1.0, and 1.2) films.</p>
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<p>Temperature-dependent <span class="html-italic">ε</span><sub>r</sub> and tan<span class="html-italic">δ</span> measured at different frequencies of (<b>a</b>) CBLT-0.0, (<b>b</b>) CBLT-0.8, (<b>c</b>) CBLT-1.0, and (<b>d</b>) CBLT-1.2 films. The inset displays fitted curves that correspond to the modified Curie–Weiss law.</p>
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<p>Phase PFM images, the evolution behavior of domains under ± 50 V and after a duration of 15 min for (<b>a</b>–<b>c</b>) CBLT-0.0 film and (<b>d</b>–<b>f</b>) CBLT-1.0 film.</p>
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<p>(<b>a</b>) <span class="html-italic">P-E</span> loops of CBLT-<span class="html-italic">x</span> (<span class="html-italic">x</span> = 0.0, 0.8, 1.0, and 1.2) films at 1040 kV/cm. (<b>b</b>) variations in the <span class="html-italic">P</span><sub>max</sub> and <span class="html-italic">P</span><sub>r</sub> values of CBLT-<span class="html-italic">x</span> (<span class="html-italic">x</span> = 0.0, 0.8, 1.0, and 1.2) films at 1040 kV/cm. (<b>c</b>) <span class="html-italic">P-E</span> loops of CBLT-<span class="html-italic">x</span> (<span class="html-italic">x</span> = 0.0, 0.8, 1.0, and 1.2) films were measured under <span class="html-italic">E</span><sub>b</sub>. (<b>d</b>) The Weibull distribution of <span class="html-italic">E</span><sub>b</sub> for CBLT-<span class="html-italic">x</span> (<span class="html-italic">x</span> = 0.0, 0.8, 1.0, and 1.2) films. (<b>e</b>) <span class="html-italic">J–E</span> curves of leakage current for CBLT-<span class="html-italic">x</span> (<span class="html-italic">x</span> = 0.0, 0.8, 1.0, and 1.2) films. (<b>f</b>) the <span class="html-italic">W</span><sub>rec</sub> and <span class="html-italic">ƞ</span> of CBLT-<span class="html-italic">x</span> (<span class="html-italic">x</span> = 0.0, 0.8, 1.0, and 1.2) films. (<b>g</b>) <span class="html-italic">W</span><sub>rec</sub>/<span class="html-italic">E</span> comparison of CBLT-1.0 film with other energy storage film systems. (<b>h</b>) The discharge current curve of CBLT-1.0 film under ambient conditions. (<b>i</b>) The <span class="html-italic">W</span><sub>dis</sub> of CBLT-1.0 film at different electric fields.</p>
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<p>(<b>a</b>) Temperature-dependent <span class="html-italic">P-E</span> loops of CBLT-1.0 film at 1500 kV/cm. (<b>b</b>) The values of <span class="html-italic">W</span><sub>rec</sub> and <span class="html-italic">ƞ</span> were measured at various measured temperatures. (<b>c</b>) The variation of <span class="html-italic">W</span><sub>rec</sub>/<span class="html-italic">E</span> in the CBLT-1.0 film at different temperatures. (<b>d</b>) Frequency-dependent <span class="html-italic">P-E</span> loops of CBLT-1.0 film at 1500 kV/cm. (<b>e</b>) The values of <span class="html-italic">W</span><sub>rec</sub> and <span class="html-italic">ƞ</span> were measured at various measured frequencies. (<b>f</b>) The variation of <span class="html-italic">W</span><sub>rec</sub>/<span class="html-italic">E</span> in the CBLT-1.0 film at different frequencies.</p>
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