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13 pages, 627 KiB  
Study Protocol
Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study Protocol
by Hanna Maria Dragoș, Adina Stan, Livia Livinț Popa, Roxana Pintican, Diana Feier, Nicu Cătălin Drăghici, Dragoș-Cătălin Jianu, Diana Chira, Ștefan Strilciuc and Dafin F. Mureșanu
Life 2025, 15(1), 131; https://doi.org/10.3390/life15010131 - 20 Jan 2025
Viewed by 92
Abstract
Acute ischemic stroke (AIS) is frequently associated with long-term post-stroke cognitive impairment (PSCI) and dementia. While the mechanisms behind PSCI are not fully understood, the brain and cognitive reserve concepts are topics of ongoing research exploring the ability of individuals to maintain intact [...] Read more.
Acute ischemic stroke (AIS) is frequently associated with long-term post-stroke cognitive impairment (PSCI) and dementia. While the mechanisms behind PSCI are not fully understood, the brain and cognitive reserve concepts are topics of ongoing research exploring the ability of individuals to maintain intact cognitive performance despite ischemic injuries. Brain reserve refers to the brain’s structural capacity to compensate for damage, with markers like hippocampal atrophy and white matter lesions indicating reduced reserve. Cognitive reserve involves the brain’s ability to optimize performance and use alternative networks to maintain function. Advanced methods of MRI and EEG processing may better assess brain reserve and cognitive reserve, with emerging predictive models integrating these measures to improve PSCI prediction. This article provides the design of a hospital-based study investigating the predictive role of functional connectivity and MRI radiomics in assessing PSCI occurrence one year after AIS. One hundred forty-four patients will be enrolled following strict inclusion/exclusion criteria. The patients will undergo comprehensive assessments, including neuropsychological testing, brain MRI, and quantitative EEG (QEEG), across four visits over a year. The primary outcome will be PSCI occurrence, and it will be assessed at six and twelve months after AIS. Secondary outcomes will include PSCI severity, recurrent AIS, and mortality. Statistical analyses will be performed to identify predictive factors using Cox proportional hazards models, and predictive models based on QEEG, MRI radiomics, and clinical data will be built. Early detection of AIS patients prone to developing PSCI might outline more effective therapeutic approaches, reducing the social and economic burden of ischemic stroke. Full article
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<p>A quantitative approach to PSCI prediction based on clinical factors and potential markers of brain and cognitive reserves. Created in BioRender. Adapted from Umarova et al., 2021 [<a href="#B33-life-15-00131" class="html-bibr">33</a>].</p>
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27 pages, 8245 KiB  
Article
Composite Flours Based on Black Lentil Seeds and Sprouts with Nutritional, Phytochemical and Rheological Impact on Bakery/Pastry Products
by Christine (Neagu) Dragomir, Sylvestre Dossa, Călin Jianu, Ileana Cocan, Isidora Radulov, Adina Berbecea, Florina Radu and Ersilia Alexa
Foods 2025, 14(2), 319; https://doi.org/10.3390/foods14020319 - 18 Jan 2025
Viewed by 427
Abstract
This paper aimed to study the nutritional, phytochemical and rheological properties of some composite flours based on wheat flour (WF) mixed with non-germinated (LF) and sprouted lentil flour (SLF), in order to fortify the wheat flour and to obtain functional bakery/pastry products. The [...] Read more.
This paper aimed to study the nutritional, phytochemical and rheological properties of some composite flours based on wheat flour (WF) mixed with non-germinated (LF) and sprouted lentil flour (SLF), in order to fortify the wheat flour and to obtain functional bakery/pastry products. The composite flours based on wheat flour and bean lentil flour (BLWF) and sprouted lentil flour (SLWF) were analyzed from the point of view of proximate composition (proteins, lipids, total carbohydrates, and minerals), content of individual and total polyphenols (TPC), as well as the contents of macro and microelements. For use in baking/pastries, the composite flours were tested from the point of view of rheological behavior using the MIXOLAB system, and the profiles obtained were compared with those of bread and biscuit. The results indicated that fortifying wheat flour with lentil flour, both in non-germinated and sprouted forms, increased the protein by 0.6–35.2% and mineral content of the samples and decreased the lipids by 8.3–43.2% and the carbohydrates by 2.8–9.4%. The total polyphenol content (TPC) increased by fortifying the wheat flour with non-germinated and sprouted lentil flour, the increase being between 39.2–131.4%. Regarding individual polyphenols, nine polyphenols were determined, of which epicatechin (46.979 mg/kg) and quercetin (45.95 mg/kg) were identified in the highest concentration in the composite flours. The increase in micronutrient intake by fortifying wheat flour with black lentil flour in both germinated and ungerminated form is more significant compared to the increases recorded in the case of the main macronutrients (Ca, Na, Mg, and K). The micronutrients increased in the composite flours in the order: Cu < Zn < Fe < Mn. The MIXOLAB profile highlighted that black lentil flour, although having a higher absorption index than that recommended for biscuit production, would improve the stability of the dough. Full article
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<p>Technological flow for obtaining black lentil sprouts. Figure created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>, accessed on 5 December 2024.</p>
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<p>The composite flours: BLWF composite flours obtained by mixture of WF + LF; SLWF composite flours obtained by mixture of WF + SLF. Figure created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>, accessed on 5 December 2024.</p>
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<p>The increase/decrease of nutritional parmaeters in composite flours compared with wheat flour type 650. WF-wheat flour, BLWF1–3-composite wheat–lentil flours, SLWF1–3-composite wheat–lentil sprouts flours.</p>
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<p>(<b>a</b>) TPC (mg GAE/100 g) of composite flours; (<b>b</b>) the increase in TPC content (%) of composite flours compared with wheat flour type 650. WF-wheat flour, BLWF1–3-composite wheat–lentil flours, SLWF1–3-composite wheat–lentil sprouts flours. The values are expressed as mean values ± standard deviations of all measurements; data within columns sharing different superscripts are significantly different (<span class="html-italic">p</span> &lt; 0.05); data within the columns sharing the same superscripts are not significantly different (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>The increase/decrease of macro and microelements in composite flours compared with wheat flour type 650. WF-wheat flour, BLWF1–3-composite wheat–lentil flours, SLWF1–3-composite wheat–lentil sprouts flours.</p>
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<p>MIXOLAB rheological profiles of the analyzed sample with 100% wheat flour (WF). Red line—MIXOLAB temperature (°C), pink line—dough temperature (°C), green line—MIXOLAB curve.</p>
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<p>MIXOLAB rheological profiles of the composite flours with different proportions of black lentils flour and wheat flour type 650: (<b>a</b>) BLWF 1, (<b>b</b>) BLWF2, (<b>c</b>) BLWF3. red line—MIXOLAB temperature (°C), pink line—dough temperature (°C), green line—MIXOLAB curve.</p>
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<p>MIXOLAB rheological profiles of the composite flours with different proportions of black lentil sprouts flour and wheat flour type 650: (<b>a</b>) SLWF 1, (<b>b</b>) SLWF2, (<b>c</b>) SLWF3. red line—MIXOLAB temperature (°C), pink line—dough temperature (°C), green line—MIXOLAB curve.</p>
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<p>Water absorption (%) of composite flours determined using MIXOLAB system. WF-wheat flour, BLWF1–3-composite wheat–lentil flours, SLWF1–3-composite wheat–lentil sprouts flours.</p>
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<p>Dough stability time (minutes) of composite flours determined using MIXOLAB system. WF-wheat flour, BLWF1–3-composite wheat–lentil flours, SLWF1–3-composite wheat–lentil sprouts flours.</p>
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<p>Torque indices (Nm) for composite flours (BLWF, SLWF) and wheat flour type 650 (WF). C1: maximum torque during mixing; C2: torque reflecting protein weakening caused by mechanical stress and increasing temperature; C3: torque reflecting rate of starch gelatinization; C4: minimum torque during heating; C5: torque after cooling to 50 °C. WF-wheat flour, BLWF1–3-composite wheat–lentil flours, SLWF1–3-composite wheat–lentil sprouts flours. The values are expressed as mean values ± standard deviations of all measurements; data within the each group columns sharing different superscripts are significantly different (<span class="html-italic">p</span> &lt; 0.05); data within the each group columns sharing the same superscripts are not significantly different (<span class="html-italic">p</span> &gt; 0.05). * nd—not detectable.</p>
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<p>MIXOLAB Profiler index of the analyzed sample with 100% wheat flour (WF) for bread technology.</p>
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<p>MIXOLAB Profiler index of composite flours with different proportions of black lentil flour (BLWF) and wheat flour type 650 (WF) for bread technology. (<b>a</b>) BLWF 1, (<b>b</b>) BLWF2, (<b>c</b>) BLWF3. Blue line represents the profile of composite flours and green line represents the profile of optimal MIXOLAB parameters for bread technology.</p>
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<p>MIXOLAB Profiler index of the composite flours with different proportions of black lentil sprouts flour (SLWF) and wheat flour type 650 (WF) for bread technology. (<b>a</b>) SLWF 1, (<b>b</b>) SLWF2, (<b>c</b>) SLWF3. Blue line represents the profile of composite flours and green line represents the profile of optimal MIXOLAB parameters for bread technology.</p>
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<p>MIXOLAB Profiler index of the analyzed sample with 100% wheat flour (WF) for biscuits technology. Blue line represents the profile of composite flours and green line represents the profile of optimal MIXOLAB parameters for bread technology.</p>
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<p>MIXOLAB Profiler index of the composite flours with different proportions of black lentil sprouts flour and wheat flour type 650 for biscuits technology. (<b>a</b>) BLWF 1, (<b>b</b>) BLWF2, (<b>c</b>) BLWF3. Blue line represents the profile of composite flours and green line represents the profile of optimal MIXOLAB parameters for bread technology.</p>
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<p>MIXOLAB Profiler index of the composite flours with different proportions of black lentil sprouts flour and wheat flour type 650 for biscuits technology. (<b>a</b>) SLWF 1, (<b>b</b>) SLWF2, (<b>c</b>) SLWF3. Blue line represents the profile of composite flours and green line represents the profile of optimal MIXOLAB parameters for bread technology.</p>
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<p>Pearson correlation between individual polyphenol contents and macro and microelement contents for composite flours BLWF1, BLWF2, and BLWF3.</p>
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<p>Pearson correlation between individual polyphenol contents and macro and microelement contents for composite flours SLWF1, SLWF2, and SLWF3.</p>
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<p>Projection of the parameters (individual polyphenols) of composite flours (BLWF and SLWF) by the first and second principal components.</p>
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<p>Projection of the parameters (macro and microelements) of composite flours (BLWF and SLWF) by the first and second principal components.</p>
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16 pages, 2948 KiB  
Article
Hepatic Steatosis and Microbiota: A Regional Study on Patients from Western Romania
by Adina Ioana Mihele, Harrie Toms John, Nicoleta Negrut, Anca Ferician, Paula Marian and Felicia Manole
Gastrointest. Disord. 2025, 7(1), 9; https://doi.org/10.3390/gidisord7010009 (registering DOI) - 18 Jan 2025
Viewed by 208
Abstract
Background/Objectives: The gut–liver axis is bidirectional and influences the body’s homeostasis. Pathologies such as metabolic dysfunction-associated steatotic liver (MASL) can have detrimental effects on the human microbiome, with multiple systemic effects. Furthermore, the geographical particularities of the intestinal microbiome may influence liver [...] Read more.
Background/Objectives: The gut–liver axis is bidirectional and influences the body’s homeostasis. Pathologies such as metabolic dysfunction-associated steatotic liver (MASL) can have detrimental effects on the human microbiome, with multiple systemic effects. Furthermore, the geographical particularities of the intestinal microbiome may influence liver disease. The study’s outcome was to identify dysbiosis in a group of patients with MASL from the western region of Romania. Methods: The NGS shotgun genomic sequencing (WGS metagenomics) method was used to identify bacteria in fecal samples. The data were analyzed using IBM SPSS Statistics software [version 29.0.2.0 (20)]. Results: Out of the 122 MASL patients included in the study, 43 (35.24%) exhibited low alpha diversity. In the subgroup with a normal biodiversity index, approximately half were identified with a Firmicutes/Bacteroidetes ratio below the lower reference value, while the remaining patients presented dysbiosis based on decreased concentrations of Proteobacteria and Prevotella, considered among the most relevant species supporting dysbiosis. A higher prevalence of Prevotella species (15.99 ± 13.65%) was identified in the study cohort. Conclusions: The present study demonstrates that patients with MASL from the western region of Romania exhibit criteria for intestinal dysbiosis, namely reduced bacterial diversity, along with significant alterations in populations of Firmicutes, Bacteroidetes, Proteobacteria, and Prevotella. Together, these findings suggest a possible influence of geo-cultural factors on the intestinal microbiome, highlighting the need for regionally adapted therapeutic interventions to support liver health. Full article
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<p>CONSORT flow diagram of the study. N, n—number.</p>
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<p>(<b>a</b>). Distribution of the biodiversity index. (<b>b</b>). Distribution of fecal pH.</p>
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<p>Percentage distribution of Firmicutes (<b>a</b>) and Bacteroides (<b>b</b>) strains. (<b>c</b>) Distribution of Firmicutes/Bacteroidetes ratio. Black horizontal line in box median value; box edges—interquartile range; whiskers—range of data within 1.5 times the interquartile range.</p>
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<p>Distribution of Proteobacteria (<b>a</b>), Actinobacteria (<b>b</b>) and Prevotella (<b>c</b>) strains. spp.—species; black horizontal line in box—median value; box edges—interquartile range; whiskers—range of data within 1.5 times the interquartile range; °—outliers.</p>
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<p>Percentage distribution of Escherichia (<b>a</b>), Ruminococcus (<b>b</b>) and Roseburia (<b>c</b>) species. spp.—species; black horizontal line in box—median value; box edges—interquartile range; whiskers—range of data within 1.5 times the interquartile range.</p>
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<p>Percentage distribution of Lactobacillus (<b>a</b>) and Bifidobacterium (<b>b</b>) species. spp.—species; black horizontal line in box—median value; box edges—interquartile range; whiskers—range of data within 1.5 times the interquartile range.</p>
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<p>Dysbiosis in patients with MASL. NV—normal value.</p>
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23 pages, 11717 KiB  
Article
Close-Proximity Operations Design, Analysis, and Validation for Non-Cooperative Targets with an Application to the ClearSpace-1 Mission
by José Vasconcelos, Serena Gaggi, Tiago Amaral, Charles Bakouche, Adina Cotuna and Ana Friaças
Aerospace 2025, 12(1), 67; https://doi.org/10.3390/aerospace12010067 - 18 Jan 2025
Viewed by 319
Abstract
This paper addresses the design, analysis, and validation of safe close-proximity operations around uncooperative targets, with an application to the ClearSpace-1 (CS-1) mission. It is focused on the areas of Guidance, Navigation, and Control (GNC), and Mission Analysis, due to their criticality for [...] Read more.
This paper addresses the design, analysis, and validation of safe close-proximity operations around uncooperative targets, with an application to the ClearSpace-1 (CS-1) mission. It is focused on the areas of Guidance, Navigation, and Control (GNC), and Mission Analysis, due to their criticality for the success and safety of this kind of operation. The relevance of the concepts, of the GNC solutions, and their validation is demonstrated for the case study of CS-1, a reference mission for the rendezvous, capture, and de-orbiting of an uncooperative target (i.e., the VESPA payload adapter). It is shown how the design approach can be adopted for the Concept of Operations of CS-1, covering the definition of keep-out zones, corridors, and GO/NO GO criteria, for assessing the passive safety of trajectories, and for the incorporation of active safety strategies. The analysis is adopted for functional chains such as the Navigation and Control, and the combination of a prototyping and a high-fidelity simulator is adopted for directed Model-in-the-Loop Monte-Carlo campaigns. The outcomes are intended to support the industry in the development of Close-Proximity Operations similar to that of CS-1. These can be adopted in a wide variety of missions, including Active Debris Removal and In-Orbit Servicing. In particular, the adopted concepts are a key contribution to the standardization of Close-Proximity Operations for non-cooperative rendezvous missions, and act towards a sustainable and safe commercial application. Full article
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<p>ClearSpace-1 mission overview.</p>
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<p>Phases of the ClearSpace-1 mission.</p>
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<p>Illustrative example of relative motion with a walking safety ellipse [<a href="#B30-aerospace-12-00067" class="html-bibr">30</a>]. Full line represents the chaser’s motion, and the dashed line represents V-bar direction.</p>
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<p>Illustration of the Mission Concept, extracted from [<a href="#B10-aerospace-12-00067" class="html-bibr">10</a>].</p>
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<p>Illustrative summary of the zones and decision points of the CS-1 mission.</p>
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<p>Abort and Approach corridors, defined within the KOZ. The gray area denotes where an Abort is triggered, the green area denotes where a Cancel is triggered, and the blue area is where no recovery action is needed.</p>
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<p>Navigation system architecture.</p>
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<p>Evolution of the predicted beta angle (<b>a</b>) and eclipse duration (<b>b</b>).</p>
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<p>Control synthesis problem.</p>
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<p>Close Rendezvous and Capture nominal trajectory in LVLH.</p>
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<p>Actuation required to perform the forced motion of the rendezvous profile: force (<b>a</b>) and torque (<b>b</b>) profiles. The lines show the body axes where the quantities are applied vs. time.</p>
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<p>Example of ROE trajectory.</p>
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<p>Passive safety with ROEs. Collinear relative eccentricity and inclination result in a passively safe trajectory (<b>a</b>), while perpendicular relative inclination and eccentricity result in an unsafe trajectory (<b>b</b>) that crosses the target trajectory (V-bar).</p>
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<p>Nominal ROE trajectories for Client Phasing—blue (<b>a</b>) and Far Rendezvous—red (<b>b</b>).</p>
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<p>Safety strategy for CS-1.</p>
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<p>Cancel simulation with a stop at FKP (<b>a</b>) and an Abort simulation demonstrating that the passive safety trajectory is safe by design (<b>b</b>).</p>
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<p>Client Phasing trajectories in LVLH.</p>
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<p>Far Rendezvous trajectories in LVLH. All the trajectories are contained within the AZ (1 km radius from the target) and never cross the KOZ (a 6 m radius from the target, not clearly visible in the plot).</p>
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<p>Close Rendezvous trajectories in LVLH.</p>
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<p>Capture trajectories in LVLH.</p>
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<p>Abort drifting trajectories characterization: Inter-Satellite Distance (<b>a</b>) and orbital plane trajectory (<b>b</b>).</p>
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<p>Abort Inter-Satellite Distance simulation with fast (<b>a</b>) and high-fidelity (<b>b</b>) simulators.</p>
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<p>Cancel simulation with a stop at FKP (<b>a</b>) and with a failed stop-hop (<b>b</b>).</p>
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30 pages, 1179 KiB  
Article
Relationship Between Depression and Decreased Activity Level and Cognitive Impairment in Patients with Diabetes Mellitus Type 2 and/or Atrial Fibrillation
by Marius Militaru, Daniel Florin Lighezan, Cristina Tudoran, Flavia Zara, Adina Bucur and Anda Gabriela Militaru
J. Clin. Med. 2025, 14(2), 563; https://doi.org/10.3390/jcm14020563 - 16 Jan 2025
Viewed by 383
Abstract
Background: The interdependence between type 2 diabetes mellitus (DM-2), atrial fibrillation (AF), and cognitive decline (CD)/dementia is a debated topic. In this study, we highlighted the influence of DM-2 and FA individually and in association on the severity of CD/dementia. Methods: This study [...] Read more.
Background: The interdependence between type 2 diabetes mellitus (DM-2), atrial fibrillation (AF), and cognitive decline (CD)/dementia is a debated topic. In this study, we highlighted the influence of DM-2 and FA individually and in association on the severity of CD/dementia. Methods: This study comprises 248 patients with very high cardiovascular risk (VHCVR) according to Systematic Coronary Risk Evaluation (SCORE2), of whom 184 had DM-2 and/or AF, and 64 were age-matched controls (without DM-2/AF), admitted to the Municipal Hospital Timisoara. Results: Mini-Mental-State-Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living Score (ADL), and Instrumental Activities of Daily Living Score (IADL) were significantly decreased, and Geriatric Depression Scale (GDS-15) increased in patients with DM-2 and AF in comparison to controls (p < 0.05), with the subjects with DM-2 and AF having more severe CD compared to those with only one of these two pathologies. The logistic regression model showed that the risk of CD (MMSE < 27) or dementia (MMSE < 24) increased significantly in patients with DM-2 and/or AF depending on the SCORE2 values, ADL, and GDS-15. In DM-2 and/or AF patients, an increase of 1% in SCORE2 was associated with an elevation of 2.40% in the odds of CD and of 4.30% of dementia. In these patients, depression (GDS score) increased the risk of CD by 36.3%, and if ADL improved, the risk of CD decreased by 44.0%. Conclusions: Our findings suggest a direct association between CD, DM-2, and AF with SCORE2, cognitive parameters, ADL, and depression. In patients with DM-2 and/or AF, it is important to identify subclinical CD to prevent the evolution to dementia. Full article
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<p>(<b>a</b>) Receiver operating characteristic (ROC) curve for multiple logistic regression model for the association of MMSE &lt; 27 for patients with DM-2 and/or AF with SCORE2 (AUROC = 0.589, 95% CI 0.505; 0.673, <span class="html-italic">p</span> = 0.041). (<b>b</b>) Receiver operating characteristic (ROC) curve for multiple logistic regression model for the association of MMSE &lt; 27 for all VHCVR patients with SCORE2 (AUROC = 0.619, 95% CI 0.546; 0.692, <span class="html-italic">p</span> = 0.002).</p>
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<p>(<b>a</b>) Receiver operating characteristic (ROC) curve for multiple logistic regression model for the association of MMSE &lt; 24 for patients with DM-2 and/or AF with SCORE2 (AUROC = 0.646, 95% CI 0.558; 0.734, <span class="html-italic">p</span> = 0.002); (<b>b</b>) receiver operating characteristic (ROC) curve for multiple logistic regression model for the association of MMSE &lt; 24 for all VHCVR patients with SCORE2 (AUROC = 0.662, 95% CI 0.585; 0.739, <span class="html-italic">p</span> &lt; 0.001).</p>
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25 pages, 6486 KiB  
Article
Thermoresponsive Gels with Rosemary Essential Oil: A Novel Topical Carrier for Antimicrobial Therapy and Drug Delivery Applications
by Ludovic Everard Bejenaru, Adina-Elena Segneanu, Cornelia Bejenaru, Ionela Amalia Bradu, Titus Vlase, Dumitru-Daniel Herea, Marius Ciprian Văruţ, Roxana Maria Bălăşoiu, Andrei Biţă, Antonia Radu, George Dan Mogoşanu and Maria Viorica Ciocîlteu
Gels 2025, 11(1), 61; https://doi.org/10.3390/gels11010061 - 12 Jan 2025
Viewed by 567
Abstract
This study investigates the development and comprehensive characterization of innovative thermoresponsive gels incorporating rosemary essential oil (RoEO) encapsulated in poly(lactic-co-glycolic acid) (PLGA) microparticles, with a focus on their potential applications in topical antimicrobial and wound healing therapies. RoEO, renowned for its [...] Read more.
This study investigates the development and comprehensive characterization of innovative thermoresponsive gels incorporating rosemary essential oil (RoEO) encapsulated in poly(lactic-co-glycolic acid) (PLGA) microparticles, with a focus on their potential applications in topical antimicrobial and wound healing therapies. RoEO, renowned for its robust antimicrobial, antioxidant, and wound-healing properties, was subjected to detailed chemical profiling using gas chromatography-mass spectrometry (GC–MS), which identified oxygenated monoterpenes as its dominant constituents. PLGA microparticles were synthesized through an optimized oil-in-water emulsion technique, ensuring high encapsulation efficiency and structural integrity. These microparticles were thoroughly characterized using Fourier-transform infrared (FTIR) spectroscopy to confirm functional group interactions, scanning electron microscopy (SEM) for surface morphology, X-ray diffraction (XRD) for crystalline properties, and thermal analysis for stability assessment. The synthesized microparticles displayed uniform size distribution and efficient encapsulation, demonstrating compatibility with the gel matrix. Two distinct thermoresponsive gel formulations were developed using varying ratios of Poloxamer 407 and Poloxamer 188 to achieve optimal performance. The gels were evaluated for key physicochemical properties, including pH, gelation temperature, viscosity, and rheological behavior. Both formulations exhibited thermoresponsive gelation at skin-compatible temperatures (27.6 °C and 32.9 °C), favorable pH levels (6.63 and 6.40), and shear-thinning behavior suitable for topical application. Antimicrobial efficacy was assessed against common pathogens associated with skin infections, including Staphylococcus aureus, Escherichia coli, and Candida albicans. The RoEO-PLGA-loaded gels demonstrated significant inhibitory effects, confirming their potential as effective carriers for controlled and localized drug delivery. These findings underscore the promising application of RoEO-PLGA-loaded thermoresponsive gels in addressing challenges associated with topical antimicrobial therapies and wound care, offering an innovative approach to enhancing therapeutic outcomes. By integrating the bioactive potential of RoEO with the advanced delivery capabilities of PLGA microparticles and thermoresponsive gels, this study paves the way for the development of next-generation formulations tailored to meet the specific needs of localized drug delivery in skin health management. Full article
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<p>GC–MS chromatogram of RoEO Tunisia reference. GC: Gas chromatography; MS: Mass spectrometry; RoEO: Rosemary essential oil.</p>
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<p>GC–MS chromatogram of RoEO sample.</p>
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<p>FTIR spectra for PLGA, RoEO, and RoEO-PLGA samples. FTIR: Fourier-transform infrared; PLGA: Poly(lactic-<span class="html-italic">co</span>-glycolic) acid; RoEO: Rosemary essential oil.</p>
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<p>XRD pattern of PLGA, RoEO, and RoEO-PLGA samples. XRD: X-ray diffraction.</p>
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<p>Morphological aspects of RoEO-PLGA microparticles (SEM image). SEM: Scanning electron microscopy.</p>
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<p>EDS spectrum of RoEO-PLGA microparticles. EDS: Energy-dispersive X-ray spectroscopy.</p>
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<p>DLS pattern of RoEO-PLGA sample.</p>
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<p>Thermoanalytical data for RoEO-PLGA sample (black line: TG analysis; green line: DTG analysis; red line: HF). DTG: Derivative thermogravimetry; HF: Heat flow; TG: Thermogravimetry.</p>
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<p>Rheological behavior of RoEO-PLGA _A: (<b>a</b>) Relationship between shear stress and shear rate (blue—increasing shear rate; red—decreasing shear rate); (<b>b</b>) Viscosity under varying shear rates (at 36 °C; blue—increasing shear rate; red—decreasing shear rate).</p>
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<p>Rheological behavior of RoEO-PLGA _B: (<b>a</b>) Relationship between shear stress and shear rate (blue—increasing shear rate; red—decreasing shear rate); (<b>b</b>) Viscosity under varying shear rates (at 36 °C; blue—increasing shear rate; red—decreasing shear rate).</p>
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<p>Antimicrobial screening against (<b>a</b>) <span class="html-italic">S. aureus</span>, (<b>b</b>) <span class="html-italic">E. coli</span>, and (<b>c</b>) a fungal strain (<span class="html-italic">C. albicans</span>).</p>
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<p>Graphic process of RoEO-PLGA microparticles and RoEO-PLGA gels formulation and characterization. DCM: Dichloromethane; DLS: Dynamic light scattering; FTIR: Fourier-transform infrared; PLGA: Poly(lactic-<span class="html-italic">co</span>-glycolic) acid; PVA: Poly(vinyl alcohol); RoEO: Rosemary essential oil; SEM: Scanning electron microscopy.</p>
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19 pages, 2314 KiB  
Article
Seasonal Variations in Chemical Composition and Antibacterial and Antioxidant Activities of Rosmarinus officinalis L. Essential Oil from Southwestern Romania
by Ludovic Everard Bejenaru, Adina-Elena Segneanu, Cornelia Bejenaru, Andrei Biţă, Felicia Tuţulescu, Antonia Radu, Maria Viorica Ciocîlteu and George Dan Mogoşanu
Appl. Sci. 2025, 15(2), 681; https://doi.org/10.3390/app15020681 - 11 Jan 2025
Viewed by 837
Abstract
Our study reports for the first time, over a 12-month period, the seasonal variations in chemical composition and antibacterial and antioxidant activity of Rosmarinus officinalis L. essential oil (RoEO) from Southwestern Romania (Oltenia region). To analyze the constituents of RoEO, a comprehensive gas [...] Read more.
Our study reports for the first time, over a 12-month period, the seasonal variations in chemical composition and antibacterial and antioxidant activity of Rosmarinus officinalis L. essential oil (RoEO) from Southwestern Romania (Oltenia region). To analyze the constituents of RoEO, a comprehensive gas chromatography/mass spectrometry (GC/MS) method was employed. The analysis aimed to identify and quantify the various components by comparing their mass spectra with reference spectra from the National Institute of Standards and Technology (NIST) Library 2020. The minimum inhibitory concentration (MIC) values of Staphylococcus aureus minimum were determined using the microdilution method (96-well plates). The antioxidant activity was analyzed using 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and hydrogen peroxide (H2O2) radical scavenging assays. This analysis provided a detailed profile of RoEO’s constituents, revealing significant monthly variations. Key compounds, such as camphor, eucalyptol, α-pinene, camphene, and α-myrcene, were quantified, alongside lesser-studied constituents like β-pinene, α-terpinene, linalool, terpinolene, and carvacrol. Comparisons were made with a reference sample from Tunisia. Oxygenated monoterpenes reach the highest concentration (56.82–66.94%), followed by monoterpene hydrocarbons (30.06–40.28%), sesquiterpene hydrocarbons (0.90–2.44%), and oxygenated sesquiterpenes (0.02–0.23%). Camphor was found in high concentrations ranging from 29.41% to 40.03%. 1,8-Cineole was another dominant compound, ranging from 13.07% to 16.16%, significantly lower compared to the Tunisian reference (52.77%). α-Pinene ranged from 11.36% to 19.33%, while α-myrcene ranged from 1.65% to 3.08%. Correlations between specific compounds and their bioactivity were explored to understand their contributions to the overall efficacy of RoEO. This comprehensive analysis provides valuable insights into the potential applications and seasonal variability of RoEO from Romania. Full article
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<p>Extraction yield of rosemary EO, expressed as volume (mL) of EO per 100 g d.w. of leaves. d.w.: dried weight; EO: essential oil; Ro: <span class="html-italic">Rosmarinus officinalis</span>; Ro_1 to Ro_12: samples of rosemary EO (February 2022 to January 2023).</p>
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<p>A heatmap showing the seasonal variation in the relative abundance of volatile components in rosemary EO samples across different months (Ro_1 to Ro_12) and the reference sample (Ro_Tunise). The color gradient represents the relative concentration of each compound, with yellow indicating the highest abundance and purple the lowest. This visualization highlights the dynamic changes in the composition of EO components, particularly camphor, which dominates the profile in most seasons. EO: essential oil; Ro: <span class="html-italic">Rosmarinus officinalis</span>; Ro_1 to Ro_12: samples of rosemary EO (February 2022 to January 2023); Ro_Tunise: rosemary EO Tunisian reference.</p>
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<p>Main compounds in Romanian (<b>a</b>) vs. Tunisian (<b>b</b>) rosemary essential oils.</p>
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<p>Antibacterial activity of rosemary EO. EO: essential oil; MIC: minimum inhibitory concentration; Ro: <span class="html-italic">Rosmarinus officinalis</span>; Ro_1 to Ro_12: samples of rosemary EO (February 2022 to January 2023); Ro_Tunise: rosemary EO Tunisian reference.</p>
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<p>Antioxidant activity of rosemary EO. ABTS: 2,2′-Azino-<span class="html-italic">bis</span>(3-ethylbenzothiazoline-6-sulfonic acid); DPPH: 2,2-Diphenyl-1-picrylhydrazyl; EO: essential oil; H<sub>2</sub>O<sub>2</sub>: hydrogen peroxide; IC<sub>50</sub>: half-maximal inhibitory concentration; Ro: <span class="html-italic">Rosmarinus officinalis</span>; Ro_1 to Ro_12: samples of rosemary EO (February 2022 to January 2023); Ro_Tunise: rosemary EO Tunisian reference.</p>
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<p>A principal component analysis (PCA) loading plot illustrating the relationships between the key compounds and biological activities (antibacterial and antioxidant activities). Principal component 1 (PC1) represents the axis that captures the largest amount of variance in the dataset, indicating the most dominant patterns or trends in the relationships between the compounds and biological activities, such as their primary contributions to antibacterial or antioxidant effects.</p>
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23 pages, 1188 KiB  
Article
Mechanical Ventilator-Associated Pneumonia in the COVID-19 Pandemic Era: A Critical Challenge in the Intensive Care Units
by Mircea Stoian, Adina Andone, Sergiu Rareș Bândilă, Danusia Onișor, Sergiu Ștefan Laszlo, Gabriela Lupu, Alina Danielescu, Dragoș-Florin Baba, Anca Meda Văsieșiu, Andrei Manea and Adina Stoian
Antibiotics 2025, 14(1), 28; https://doi.org/10.3390/antibiotics14010028 - 3 Jan 2025
Viewed by 776
Abstract
Background/Objectives: Ventilator-associated pneumonia (VAP) is the most common nosocomial infection encountered in the intensive care unit (ICU) and is associated with prolonged hospitalization and increased mortality. We evaluated the causative pathogens involved and their resistance to the major classes of antibiotics in patients [...] Read more.
Background/Objectives: Ventilator-associated pneumonia (VAP) is the most common nosocomial infection encountered in the intensive care unit (ICU) and is associated with prolonged hospitalization and increased mortality. We evaluated the causative pathogens involved and their resistance to the major classes of antibiotics in patients with VAP and assessed the differences between patients with and without coronavirus disease 2019 (COVID-19). Materials and Methods: This study was a single-center, cross-sectional, retrospective analysis involving 122 patients who were hospitalized in the ICU of Târgu Mureș County Clinical Hospital from 1 April 2021, to 1 April 2023. This study compares patients with VAP in COVID-19 and non-COVID-19 groups, examining the clinical progression, duration of ventilation and hospitalization, mortality, pathogen distribution, and the emergence of multidrug-resistant strains. Results: A length of stay in the ICU exceeding 11.5 days was associated with the development of multidrug-resistant (MDR) infections (AUC: 0.708, p < 0.001). Similarly, a duration of MV exceeding 196 h was associated with MDR acquisition (AUC: 0.695, p = 0.002). Additionally, a Clinical Pulmonary Infection Score (CPIS) greater than 5 was associated with MDR development (AUC: 0.854, p < 0.001) in the whole group of patients. The most commonly isolated strains were Acinetobacter spp., Pseudomonas spp., Klebsiella spp., and Staphylococcus aureus. Among non-COVID-19 patients, there was a notably higher frequency of MDR Acinetobacter baumannii. A bacterial resistance to carbapenems was found in Acinetobacter spp. (51.6%), Klebsiella spp. (22.6%), and Pseudomonas spp. (25.8%). Conclusions: COVID-19 patients experienced longer ventilation, higher mortality, and an increased risk of developing MDR. Carbapenem resistance was universal in Acinetobacter spp. and Klebsiella pneumoniae, whereas resistance in Pseudomonas aeruginosa was more prevalent among non-COVID-19 patients. The Clinical Pulmonary Infection Score (CPIS) strongly correlates with developing MDR pathogens in both patient groups. Full article
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<p>Carmeli score between the two groups.</p>
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<p>ROC curve of the univariate analysis of COVID 19 patients.</p>
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<p>ROC curve of the univariate analysis of non-COVID-19 patients.</p>
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<p>ROC curve of the univariate analysis of all patients.</p>
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17 pages, 3903 KiB  
Article
Lilium candidum Extract Loaded in Alginate Hydrogel Beads for Chronic Wound Healing
by Ioana Bâldea, Maria-Loredana Soran, Adina Stegarescu, Ocsana Opriș, Irina Kacso, Septimiu Tripon, Alexandra Adascalitei, Iulian George Fericel, Roxana Decea and Ildiko Lung
Gels 2025, 11(1), 22; https://doi.org/10.3390/gels11010022 - 1 Jan 2025
Viewed by 377
Abstract
Chronic wounds are a major health problem, affecting millions of people worldwide. Resistance to treatment is frequently observed, requiring an extension of the wound healing time, and improper care can lead to more problems in patients. Smart wound dressings that provide a controlled [...] Read more.
Chronic wounds are a major health problem, affecting millions of people worldwide. Resistance to treatment is frequently observed, requiring an extension of the wound healing time, and improper care can lead to more problems in patients. Smart wound dressings that provide a controlled drug release can significantly improve the healing process. In this paper, alginate beads with white lily leaf extract were prepared and tested for chronic wound healing. The obtained beads were characterized by scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR). Also, the efficiency of extract encapsulation in alginate was determined as being of. The obtained hydrogel was tested on two normal human cell lines, respectively, dermal fibroblasts (BJ-CRL-2522-ATCC) and endothelial cells (human umbilical vein endothelial cells—HUVEC 2). The longer release of bioactive compounds from plant extract loaded in the alginate hydrogel resulted in more effective wound closure, compared to the extract alone, and scar formation, compared to the alginate hydrogel. Therefore, the effect of the white lily extract in combination with that of sodium alginate hydrogel improves the biological activity of the alginate hydrogel and increases the wound healing properties of the alginate. Full article
(This article belongs to the Special Issue Recent Advances in Biopolymer Gels)
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<p>SEM image of the (<b>a</b>) microencapsulated Ext sample and (<b>b</b>) alginate beads.</p>
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<p>The FTIR spectra of sodium alginate (Alg), white lily extract (Ext), and microencapsulated extract (Alg-Ext).</p>
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<p>Viability assay. Dermal fibroblasts (BJ-upper panels) and endothelial cells (HUVECs-lower panels) were treated for 24 h with medium extract of alginate hydrogel formulations w/o the plant extract in different dilutions (left panels) and, respectively, different polyphenol concentrations of the plant extract (right panels). The resulting data is presented as a percentage of untreated control, average (n = 3) ± SD (standard deviation).</p>
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<p>Comparative microscopy aspect of the wounds at different time points (initial, at 8, 24, 48, 72 h) in experimental groups: 1. Control, 2. LPS (bacterial lipopolysaccharide), 3. LPS + A (lipopolysaccharide + alginate hydrogel), 4. LPS + AE (lipopolysaccharide + alginate hydrogel with plant extract), 5. LPS + E (lipopolysaccharide + plant extract), original magnification, objective 4×, bar = 10 µm.</p>
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<p>Wound area was measured at different time points (8, 24, 48, and 72 h) for each experimental group: 1. Control, 2. LPS (bacterial lipopolysaccharide), 3. LPS + A (lipopolysaccharide + alginate hydrogel), 4. LPS + AE (lipopolysaccharide + alginate hydrogel with plant extract), 5. LPS + E (lipopolysaccharide + plant extract), using the Image J software 1.8.0 and MiToBo plugging, data are presented as % of remaining wound area from the initial wound area, mean (n = 5) ± SD. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Viable cell count was estimated from the level of ATP measured in the cell cultures at 72 h in the wound scratch assay wells for each experimental group: 1. Control, 2. LPS (bacterial lipopolysaccharide), 3. LPS + A (lipopolysaccharide + alginate hydrogel), 4. LPS + AE (lipopolysaccharide + alginate hydrogel with plant extract), 5. LPS + E (lipopolysaccharide + plant extract), results are presented as % of controls, mean (n = 3) ± SD. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Western blot analysis of the protein levels of MMP9, MMP2, TIMP1, collagen 1, and caspase 3 for each experimental group: 1. Control, 2. LPS (bacterial lipopolysaccharide), 3. LPS + A (lipopolysaccharide + alginate hydrogel), 4. LPS + AE (lipopolysaccharide + alginate hydrogel with plant extract), 5. LPS + E (lipopolysaccharide + plant extract); WB bands quantification was conducted by densitometry, and for normalization, β actin was used. Data are presented as mean (n = 3) ± SD, * <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, one-way ANOVA.</p>
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<p>Oxidative stress parameters measurement. Malondialdehyde (MDA). Superoxide dismutase (SOD). Catalase (CAT). Experimental groups: 1. Control, 2. LPS (bacterial lipopolysaccharide), 3. LPS + A (lipopolysaccharide + alginate hydrogel), 4. LPS + AE (lipopolysaccharide + alginate hydrogel with plant extract), 5. LPS + E (lipopolysaccharide + plant extract). Data are presented as mean (n = 3 ± SD), * <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, one-way ANOVA.</p>
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<p>Pro-inflammatory cytokine IL1 β and IL6 levels. Experimental groups: 1. Control, 2. LPS (bacterial lipopolysaccharide), 3. LPS + A (lipopolysaccharide + alginate hydrogel), 4. LPS + AE (lipopolysaccharide + alginate hydrogel with plant extract), 5. LPS + E (lipopolysaccharide + plant extract). Data are presented as mean (n = 3 ± SD), ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, one-way ANOVA.</p>
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34 pages, 2164 KiB  
Review
Non-Drug and Non-Invasive Therapeutic Options in Alzheimer’s Disease
by Alina Simona Șovrea, Adina Bianca Boșca, Eleonora Dronca, Anne-Marie Constantin, Andreea Crintea, Rada Suflețel, Roxana Adelina Ștefan, Paul Andrei Ștefan, Mădălin Mihai Onofrei, Christoph Tschall and Carmen-Bianca Crivii
Biomedicines 2025, 13(1), 84; https://doi.org/10.3390/biomedicines13010084 - 1 Jan 2025
Viewed by 994
Abstract
Despite the massive efforts of modern medicine to stop the evolution of Alzheimer’s disease (AD), it affects an increasing number of people, changing individual lives and imposing itself as a burden on families and the health systems. Considering that the vast majority of [...] Read more.
Despite the massive efforts of modern medicine to stop the evolution of Alzheimer’s disease (AD), it affects an increasing number of people, changing individual lives and imposing itself as a burden on families and the health systems. Considering that the vast majority of conventional drug therapies did not lead to the expected results, this review will discuss the newly developing therapies as an alternative in the effort to stop or slow AD. Focused Ultrasound (FUS) and its derived Transcranial Pulse Stimulation (TPS) are non-invasive therapeutic approaches. Singly or as an applied technique to change the permeability of the blood–brain–barrier (BBB), FUS and TPS have demonstrated the benefits of use in treating AD in animal and human studies. Adipose-derived stem Cells (ADSCs), gene therapy, and many other alternative methods (diet, sleep pattern, physical exercise, nanoparticle delivery) are also new potential treatments since multimodal approaches represent the modern trend in this disorder research therapies. Full article
(This article belongs to the Section Neurobiology and Clinical Neuroscience)
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<p>New alternative non-drug therapeutic options for AD.</p>
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<p>FUS application bioeffects.</p>
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<p>Biological effects of TPS.</p>
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<p>Positive and negative effects of HBOT.</p>
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15 pages, 3566 KiB  
Article
Advanced Amperometric Microsensors for the Electrochemical Quantification of Quercetin in Ginkgo biloba Essential Oil from Regenerative Farming Practices
by Elena Oancea, Ioana Adina Tula, Gabriela Stanciu, Raluca-Ioana Ștefan-van Staden, Jacobus (Koos) Frederick van Staden and Magdalena Mititelu
Metabolites 2025, 15(1), 6; https://doi.org/10.3390/metabo15010006 - 31 Dec 2024
Viewed by 453
Abstract
In this study, we present a novel approach using amperometric microsensors to detect quercetin in cosmetic formulations and track its metabolic behavior after topical application. This method offers a sensitive, real-time alternative to conventional techniques, enabling the detection of quercetin’s bioavailability, its transformation [...] Read more.
In this study, we present a novel approach using amperometric microsensors to detect quercetin in cosmetic formulations and track its metabolic behavior after topical application. This method offers a sensitive, real-time alternative to conventional techniques, enabling the detection of quercetin’s bioavailability, its transformation into active metabolites, and its potential therapeutic effects when applied to the skin. Quercetin (Q) is a bioactive flavonoid known for its potent antioxidant properties, naturally present in numerous plants, particularly those with applications in cosmetic formulations. In response to the growing interest in developing novel plant-based dermo-cosmetic solutions, this study investigates the electrochemical detection of quercetin, a ketone-type flavonoid, extracted from Gingko biloba essential oil. Three newly designed amperometric microsensors were developed to assess their efficacy in detecting quercetin in botanical samples. The sensor configurations utilized two forms of carbon material as a foundation: graphite (G) and carbon nanoparticles (CNs). These base materials were modified with paraffin oil, chitosan (CHIT), and cobalt(II) tetraphenylporphyrin (Co(II)TPP) to enhance sensitivity. Differential pulse voltammetry (DPV) served as the analytical method for this investigation. Among the sensors, the CHIT/G–CN microsensor exhibited the highest sensitivity, with a detection limit of 1.22 × 10−7 mol L−1, followed by the G–CN (5.64 × 10−8 mol L−1) and Co(II)TPP/G–CN (9.80 × 10−8 mol L−1) microsensors. The minimum detectable concentration was observed with the G–CN and CoP/G–CN microsensors, achieving a threshold as low as 0.0001 μmol L−1. Recovery rates and relative standard deviation (RSD) values averaged 97.4% ± 0.43, underscoring the sensors’ reliability for quercetin detection in botanical matrices. Full article
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<p>Protocol for the design of the unmodified graphite/carbon nanoparticle (G/CN) amperometric microsensor.</p>
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<p>Protocol for the design of the graphite (G)/carbon nanoparticle (CN) modified with chitosan (CHIT) (CHIT/G-CN) and tetraphenyl-porphine cobalt(II) (Co(II)TPP) (Co(II)TPP/G-CN) amperometric microsensors.</p>
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<p>Neoclevenger hydrodistillation technologic process.</p>
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<p>Performance of the unmodified graphite/carbon nanoparticle (G-CN) amperometric microsensor was evaluated using three different electrolytes across a range of pH levels in the 10<sup>−4</sup> mol/L quercetin (Q) solution.</p>
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<p>Performance of the chitosan-modified graphite/carbon nanoparticle (CHIT/G-CN) amperometric microsensor evaluated using three types of electrolytes at various pH values in the 10<sup>−4</sup> mol/L quercetin (Q) solution.</p>
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<p>Performance of the tetraphenyl-porphine cobalt (III)-modified graphite/carbon nanoparticle (Co(II)TPP/G-CN) amperometric microsensor evaluated using three types of electrolytes at various pH values in the 10<sup>−4</sup> mol/L quercetin (Q) solution.</p>
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<p>Representative differential pulse voltammograms (<b>a</b>) and calibration curves (<b>b</b>) for quercetin (Q) detection using the graphite/carbon nanoparticle (G/CN) amperometric microsensor; representative differential pulse voltammograms (<b>c</b>) and calibration curves (<b>d</b>) for quercetin (Q) detection using the graphite/carbon nanoparticle amperometric microsensor modified with chitosan (CHIT/G-CN); representative differential pulse voltammograms (<b>e</b>) and calibration curves (<b>f</b>) for quercetin (Q) detection, obtained using the graphite–carbon nanoparticles microsensor modified with tetra-phenyl-porphine cobalt(II) (Co(II)TPP/G-CN).</p>
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<p>Representative differential pulse voltammograms (<b>a</b>) and calibration curves (<b>b</b>) for quercetin (Q) detection using the graphite/carbon nanoparticle (G/CN) amperometric microsensor; representative differential pulse voltammograms (<b>c</b>) and calibration curves (<b>d</b>) for quercetin (Q) detection using the graphite/carbon nanoparticle amperometric microsensor modified with chitosan (CHIT/G-CN); representative differential pulse voltammograms (<b>e</b>) and calibration curves (<b>f</b>) for quercetin (Q) detection, obtained using the graphite–carbon nanoparticles microsensor modified with tetra-phenyl-porphine cobalt(II) (Co(II)TPP/G-CN).</p>
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22 pages, 10776 KiB  
Article
In Vitro and In Vivo Evaluation of rPET/Cu-Alg Nanofibers for Anti-Infective Therapy
by Andreea Mihaela Grămadă (Pintilie), Adelina-Gabriela Niculescu, Alexandra Cătălina Bîrcă, Alina Maria Holban, Alina Ciceu, Cornel Balta, Hildegard Herman, Anca Hermenean, Alexandra-Elena Stoica, Simona Ardelean, Adina Alberts, Alexandru Mihai Grumezescu and Monica Puticiu
Polymers 2025, 17(1), 68; https://doi.org/10.3390/polym17010068 - 30 Dec 2024
Viewed by 674
Abstract
With the growing interest in nanofibers and the urgent need to address environmental concerns associated with plastic waste, there is an increasing focus on using recycled materials to develop advanced healthcare solutions. This study explores the potential of recycled poly(ethylene terephthalate) (PET) nanofibers, [...] Read more.
With the growing interest in nanofibers and the urgent need to address environmental concerns associated with plastic waste, there is an increasing focus on using recycled materials to develop advanced healthcare solutions. This study explores the potential of recycled poly(ethylene terephthalate) (PET) nanofibers, functionalized with copper-enhanced alginate, for applications in wound dressings. Nanofibers with desirable antimicrobial properties were developed using chemical recycling and electrospinning techniques, offering a sustainable and effective option for managing wound infections and promoting healing. SEM and FT-IR analyses confirmed that the obtained nanofibers possess optimal physicochemical properties, including well-organized morphology, appropriate dimensions, and structural integrity. Biological evaluations revealed significant antimicrobial activity, with the materials effectively inhibiting microbial adherence and biofilm formation while maintaining good biocompatibility in both in vitro and in vivo studies. These findings highlight the potential of recycled PET-based nanofibers as advanced wound dressing materials to reduce infection risks and support tissue regeneration in clinical applications. Full article
(This article belongs to the Special Issue Advanced Biodegradable Polymer Scaffolds for Tissue Engineering II)
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<p>SEM micrographs of the PET@Alg/Cu samples, where (<b>a<sub>1</sub></b>,<b>a<sub>2</sub></b>)—10 mL/h; (<b>b<sub>1</sub></b>,<b>b<sub>2</sub></b>)—7.5 mL/h; (<b>c<sub>1</sub></b>,<b>c<sub>2</sub></b>)—5 mL/h; and (<b>d<sub>1</sub></b>,<b>d<sub>2</sub></b>)—2.5 mL/h.</p>
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<p>FT-IR spectra recorded for PET@Alg/Cu.</p>
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<p>XRD patterns of electrospun PET coated with copper alginate at different flow rates (2.5, 5, 7.5, and 10 mL/h).</p>
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<p>Graphical representation of absorbance values for planktonic cultures of <span class="html-italic">S. aureus</span>, <span class="html-italic">Ps. aeruginosa</span>, and <span class="html-italic">C. albicans</span> after 24 h in the presence of recycled PET-based materials (Ctrl, PET, and PET@Alg/Cu).</p>
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<p>Graphical representation of CFU/mL values, illustrating the degree of adherence of <span class="html-italic">S. aureus</span>, <span class="html-italic">Ps. aeruginosa</span>, and <span class="html-italic">C. albicans</span> cells to the surface of the tested materials (Control, PET, and PET@Alg/Cu) following 24 h of incubation at 37 °C. PET@Alg/Cu samples.</p>
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<p>Log10 CFU/mL values showing biofilm formation by <span class="html-italic">S. aureus</span>, <span class="html-italic">Ps. aeruginosa</span>, and <span class="html-italic">C. albicans</span> on Control, PET, and PET@Alg/Cu materials after 48 and 72 h at 37 °C.</p>
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<p>Development of <span class="html-italic">A. niger</span> cultures in the presence of fibrillar membranes composed of PET and PET@Alg/Cu (2.5 mL/h) after 1, 2, and 3 weeks of incubation.</p>
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<p>Graphical representation of MTT assay results showing absorbance values at 570 nm, indicating the optical density of formazan produced by mitochondrial oxidoreductase activity and reflecting the metabolic activity and proliferation of diploid cells in the presence of PET and PET@Alg/Cu materials at different deposition rates.</p>
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<p>Graphical representation of GSH assay results, expressed in arbitrary units (a.u.), indicating the activity of glutathione S-transferase (GST) of diploid cells cultured in the presence of PET@Alg/Cu materials at different deposition rates compared to the control.</p>
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<p>The effects of subcutaneous PET@Alg/Cu implantation in mice on the C-reactive protein (CRP) levels at 24 h and 7 days post-surgery.</p>
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<p>Histopathological analysis of PET@Alg/Cu at 24 h post-implantation. (<b>a</b>) H&amp;E stain; (<b>b</b>) TNF-α immunohistochemistry; (<b>c</b>) Masson–Goldner trichrome stain; (*) material; bars 50 μm and 20 μm (details).</p>
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<p>Histopathological analysis of PET@Alg/Cu at 7 days post-implantation. (<b>a</b>) H&amp;E stain; (<b>b</b>) TNF-α immunohistochemistry; (<b>c</b>) Masson–Goldner trichrome stain Material (*); bars 50 μm and 20 μm (details).</p>
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<p>F4/80 protein expression as revealed by confocal microscopy at 24 h and 7 days post-implantation. F4/80 is labeled in green, and the nuclei are counterstained with DAPI; magnification ×63.</p>
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15 pages, 1259 KiB  
Article
Diabetes and Cataracts Development—Characteristics, Subtypes and Predictive Modeling Using Machine Learning in Romanian Patients: A Cross-Sectional Study
by Adriana Ivanescu, Simona Popescu, Adina Braha, Bogdan Timar, Teodora Sorescu, Sandra Lazar, Romulus Timar and Laura Gaita
Medicina 2025, 61(1), 29; https://doi.org/10.3390/medicina61010029 - 28 Dec 2024
Viewed by 397
Abstract
Background and Objectives: Diabetes has become a global epidemic, contributing to significant health challenges due to its complications. Among these, diabetes can affect sight through various mechanisms, emphasizing the importance of early identification and management of vision-threatening conditions in diabetic patients. Changes in [...] Read more.
Background and Objectives: Diabetes has become a global epidemic, contributing to significant health challenges due to its complications. Among these, diabetes can affect sight through various mechanisms, emphasizing the importance of early identification and management of vision-threatening conditions in diabetic patients. Changes in the crystalline lens caused by diabetes may lead to temporary and permanent visual impairment. Since individuals with diabetes are at an increased risk of developing cataracts, which significantly affects their quality of life, this study aims to identify the most common cataract subtypes in diabetic patients, highlighting the need for proactive screening and early intervention. Materials and Methods: This study included 201 participants with cataracts (47.6% women and 52.4% men), of whom 105 also had diabetes. With the use of machine learning, the patients were assessed and categorized as having one of the three main types of cataracts: cortical (CC), nuclear (NS), and posterior subcapsular (PSC). A Random Forest Classification algorithm was employed to predict the incidence of different associations of cataracts (1, 2, or 3 types). Results: Cataracts have been encountered more frequently and at a younger age in patients with diabetes. CC was significantly more frequent among patients with diabetes (p < 0.0001), while the NS and PSC were only marginally, without statistical significance. Machine learning could also contribute to an early diagnosis of cataracts, with the presence of diabetes, duration of diabetes, or diabetic polyneuropathy (PND) having the highest importance for a successful classification. Conclusions: These findings suggest that diabetes may impact the type of cataract that develops, with CC being notably more prevalent in diabetic patients. This has important implications for screening and management strategies for cataract formation in diabetic populations. Full article
(This article belongs to the Section Endocrinology)
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<p>The frequencies of different types of cataracts in the studied patients. (<b>A</b>) the frequency of cataracts in the study group. (<b>B</b>) cataracts associations in the study group. (<b>C</b>) type of cataracts present in patients with diabetes. (<b>D</b>) cataracts associations in the diabetes study group.</p>
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<p>ROC curves plot each cataract association against all other classes.</p>
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<p>Graphical representation of the variable mean decrease and the variable total increase in node purity for the model.</p>
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24 pages, 10736 KiB  
Article
Zinc Oxide-Loaded Recycled PET Nanofibers for Applications in Healthcare and Biomedical Devices
by Andreea Mihaela Grămadă (Pintilie), Alexandra-Elena Stoica (Oprea), Adelina-Gabriela Niculescu, Alexandra Cătălina Bîrcă, Bogdan Ștefan Vasile, Alina Maria Holban, Teodora Mihaiescu, Andreea Iren Șerban, Alina Ciceu, Cornel Balta, Simona Dumitra, Monica Puticiu, Florin Iordache, Anca Hermenean, Adina Alberts, Alexandru Mihai Grumezescu, Ovidiu Cristian Oprea and Simona Ardelean
Polymers 2025, 17(1), 45; https://doi.org/10.3390/polym17010045 - 28 Dec 2024
Viewed by 468
Abstract
Polyethylene terephthalate (PET) is a widely utilized synthetic polymer, favored in various applications for its desirable physicochemical characteristics and widespread accessibility. However, its extensive utilization, coupled with improper waste disposal, has led to the alarming pollution of the environment. Thus, recycling PET products [...] Read more.
Polyethylene terephthalate (PET) is a widely utilized synthetic polymer, favored in various applications for its desirable physicochemical characteristics and widespread accessibility. However, its extensive utilization, coupled with improper waste disposal, has led to the alarming pollution of the environment. Thus, recycling PET products is essential for diminishing global pollution and turning waste into meaningful materials. Therefore, this study proposes the fabrication of electrospun membranes made of recycled PET nanofibers as a cost-effective valorization method for PET waste. ZnO nanoparticles were coated onto polymeric materials to enhance the antimicrobial properties of the PET fibers. Morphostructural investigations revealed the formation of fibrillar membranes made of unordered nanofibers (i.e., 40–100 nm in diameter), on the surface of which zinc oxide nanoparticles of 10–20 nm were attached. PET@ZnO membranes demonstrated effective antimicrobial and antibiofilm activity against Gram-positive and Gram-negative bacteria, yeasts, and molds, while imparting no toxicity to amniotic fluid stem cells. In vivo tests confirmed the materials’ biocompatibility, as no side effects were observed in mice following membrane implantation. Altogether, these findings highlight the potential of integrating ZnO nanoparticles into recycled PET to develop multifunctional materials suitable for healthcare facilities (such as antimicrobial textiles) and biomedical devices, including applications such as textiles, meshes, and sutures. Full article
(This article belongs to the Section Polymer Applications)
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<p>SEM images recorded for PET@ZnO at various deposition rates, where (<b>a1</b>,<b>2</b>)—2.5 mL/h; (<b>b1</b>,<b>2</b>)—5 mL/h; (<b>c1</b>,<b>2</b>)—7.5 mL/h; (<b>d1</b>,<b>2</b>)—10 mL/h.</p>
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<p>SEM images recorded for PET@ZnO at various deposition rates, where (<b>a1</b>,<b>2</b>)—2.5 mL/h; (<b>b1</b>,<b>2</b>)—5 mL/h; (<b>c1</b>,<b>2</b>)—7.5 mL/h; (<b>d1</b>,<b>2</b>)—10 mL/h.</p>
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<p>TEM images recorded for the nanostructured PET@ZnO membranes, with a deposition rate of 2.5 mL/h.</p>
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<p>FT-IR spectra recorded for the PET@ZnO-type membranes.</p>
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<p>X-ray diffraction (XRD) patterns of PET@ZnO membranes, where (<b>a</b>) 2.5 mL/h, (<b>b</b>) 5 mL/h, (<b>c</b>) 7.5 mL/h, (<b>d</b>) 10 mL/h deposition rate.</p>
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<p>Absorbance values for <span class="html-italic">Ps. aeruginosa</span>, <span class="html-italic">S. aureus,</span> and <span class="html-italic">C. albicans</span> cultures, showing cell growth after 24 h in the presence of recycled PET@ZnO membranes.</p>
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<p>CFU/mL values showing the number of <span class="html-italic">S. aureus</span> cells in monospecific biofilms formed on the material surfaces after 24, 48, and 72 h at 37 °C.</p>
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<p>CFU/mL values showing the number of <span class="html-italic">Ps. aeruginosa</span> cells in monospecific biofilms formed on the material surfaces after 24, 48, and 72 h at 37 °C.</p>
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<p>CFU/mL values showing the number of <span class="html-italic">C. albicans</span> cells in monospecific biofilms formed on the material surfaces after 24, 48, and 72 h at 37 °C.</p>
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<p>Appearance of <span class="html-italic">A. niger</span> cultures developed in the presence of the nanostructured PET@ZnO membranes, deposition rate 5 mL/h, over 1, 2, or 3 weeks.</p>
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<p>Graphical representation of the MTT technique results, represented by absorbance values at 570 nm, which suggest the optical density of the formazan released following the reduction reaction of the MTT reagent by the mitochondrial oxidoreductases of metabolically active cells in the presence of the tested PET materials.</p>
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<p>Luminescence values, expressed in arbitrary units, indicating glutathione S-transferase activity, which reflects oxidative stress levels in cultured diploid cells exposed to the obtained materials.</p>
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<p>Histopathological analysis of PET@ZnO at 24 h and 7 days post-implantation in H&amp;E stain. * Implanted material; arrow (<b>a</b>)—neutrophils; arrow (<b>b</b>)—macrophages; Scale bar 50 μm and 20 μm.</p>
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<p>Collagen proliferation analysis after PET@ZnO subcutaneous implantation at 24 h and 14 days by Masson-Goldner trichrome stain; Scale bar 50 μm.</p>
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21 pages, 2618 KiB  
Article
Effect of Urease and Nitrification Inhibitors on Heavy Metal Mobility in an Intensively Cultivated Soil
by Nicoleta Vicar, Alina Lațo, Iaroslav Lațo, Florin Crista, Adina Berbecea and Isidora Radulov
Agronomy 2025, 15(1), 49; https://doi.org/10.3390/agronomy15010049 - 28 Dec 2024
Viewed by 633
Abstract
Urease and nitrification inhibitors represent ways to reduce nitrogen losses; their presence modifies microbial and enzymatic activity in the soil, affecting pH and organic matter (OM), which in turn affects the mobility of heavy metals. To evaluate the effect of urea with inhibitors, [...] Read more.
Urease and nitrification inhibitors represent ways to reduce nitrogen losses; their presence modifies microbial and enzymatic activity in the soil, affecting pH and organic matter (OM), which in turn affects the mobility of heavy metals. To evaluate the effect of urea with inhibitors, pH, OM content, and pseudo-total and mobile metal content (Cu, Cd, Ni, Pb, Cr, Zn, and Mn) were determined in soil samples fertilized with six different urea variants with inhibitors. The modification in the pseudo-total content of heavy metals following fertilization (%) was as follows: Cu (−39.26 ÷ −8.82), Cd (10.74 ÷ 15.40), Ni (5.76 ÷ 18.84), Pb (−13.30 ÷ 12.46), Cr (−15.55 ÷ 11.60), Zn (35.10 ÷ 162.76), and Mn (−1.32 ÷ 12.17). The pH was situated in the range of 7.05 to 7.17, while OM content showed an average increase of 16%. The determined pollution indicators revealed an accumulation of Zn in the soil. The results showed a trend of accumulation of bioavailable heavy metals, with the greatest increase for Mn (43%). Only in the case of Zn, there was a decrease in mobile content with the lowest value when applying two urease inhibitors and one nitrification inhibitor. Inhibitors modify the OM content and soil pH, influencing the mobility and bioavailability of heavy metals. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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<p>Urea hydrolysis in soil.</p>
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<p>Experimental field location: 45°47′10.2″ N + 21°12′51.2″ E.</p>
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<p>Field experiences description.</p>
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<p>Differences in pseudo-total metal (TMe) content before and after application of the fertilizer variants: (<b>a</b>) TCu, (<b>b</b>) TCd, (<b>c</b>) TNi, (<b>d</b>) TPb, (<b>e</b>) TCr, (<b>f</b>) TZn, and (<b>g</b>) TMn.</p>
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<p>Differences in mobile metal (MMe) content before and after application of the fertilizer variants: (<b>a</b>) MCu, (<b>b</b>) MCd, (<b>c</b>) MNi, (<b>d</b>) MPb, (<b>e</b>) MCr, (<b>f</b>) MZn, and (<b>g</b>) MMn. There are no statistically significant differences between the means of variants with the same letters at a 95% confidence level.</p>
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<p>Differences in mobile metal (MMe) content before and after application of the fertilizer variants: (<b>a</b>) MCu, (<b>b</b>) MCd, (<b>c</b>) MNi, (<b>d</b>) MPb, (<b>e</b>) MCr, (<b>f</b>) MZn, and (<b>g</b>) MMn. There are no statistically significant differences between the means of variants with the same letters at a 95% confidence level.</p>
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<p>The influence of fertilization with different variants of urea on soil pH, OM, and MMe.</p>
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