[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (2,008)

Search Parameters:
Keywords = terpenes

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
20 pages, 5324 KiB  
Article
Minimum-Run Resolution IV Design for Optimized Bio Removal of Fe2+ Using Enteromorpha intestinalis Aqueous Extract and Its Extract-Coated Silver Nanoparticles
by Doaa G. El-Hosari, Fatma A. Mokhtar, Hussein A. Khalaf, Ahmed R. N. Ibrahim, Rehab M. Mohamed and Mofida E. M. Makhlof
Plants 2025, 14(1), 40; https://doi.org/10.3390/plants14010040 - 26 Dec 2024
Viewed by 264
Abstract
Biosorbents have demonstrated considerable potential for the remediation of metals in aqueous environments. An aqueous extract of Enteromorpha intestinalis L. (EiE) and its extract-coated silver nanoparticles have been prepared and employed for the removal of iron. Fourier transform infrared spectroscopy (FTIR), X-ray diffraction [...] Read more.
Biosorbents have demonstrated considerable potential for the remediation of metals in aqueous environments. An aqueous extract of Enteromorpha intestinalis L. (EiE) and its extract-coated silver nanoparticles have been prepared and employed for the removal of iron. Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), UV-visible spectroscopy, transmission electron microscopy (TEM), gas chromatography-mass spectroscopy (GC-MS), and zeta potential were employed to characterize the prepared biosorbents. The adsorption properties of the biosorbents were investigated in batch experiments, with a range of factors taken into account, including pH, contact time, initial ion concentrations, biosorbent dosage, and temperature. A minimum-run resolution IV design (MRR-IV) was developed with the objective of optimizing the removal efficiency. The mechanisms of adsorption were investigated using both the Langmuir and Freundlich isotherms. Kinetic studies were conducted using the pseudo-first-order and pseudo-second-order models. A variety of active constituents, including organic acids, lipids, alcohols, and terpenes, were identified through the use of GC-MS, with the findings supported by FTIR spectra. Transmission electron microscopy (TEM) revealed that the nanoparticle size ranged from 5 to 44 nm, while X-ray diffraction (XRD) demonstrated a high degree of crystallinity. A screening study employing the MRR-IV methodology, facilitated by the Design-Experiment, Ver 13., indicates that three factors exert a considerable influence on the biosorption process. The study demonstrated that the biosorption mechanism is pH-dependent, with an optimal pH of 5. The adsorption performance was found to follow Freundlich isothermal models and pseudo-first-order kinetics. Full article
Show Figures

Figure 1

Figure 1
<p>FTIR of <span class="html-italic">Enteromorpha intestinalis</span> L. aqueous extract (EIE) and its extract-coated silver nanoparticles. EiAgNPs.</p>
Full article ">Figure 2
<p>GC chromatogram of <span class="html-italic">Enteromorpha intestinalis</span> L. methanol extract. (EIE).</p>
Full article ">Figure 3
<p>UV spectroscopy (<b>a</b>), TEM photographs (<b>b</b>), XRD spectrum (<b>c</b>), and zeta potential (<b>d</b>,<b>e</b>) of <span class="html-italic">Enteromorpha intestinalis</span> L. extract EIE and EiAgNPs.</p>
Full article ">Figure 4
<p>Effect of pH (<b>a</b>), effect of time (<b>b</b>), effect of dose (<b>c</b>), and effect of Fe<sup>2+</sup> concentration (<b>d</b>) of EiE and EiAgNPs.</p>
Full article ">Figure 4 Cont.
<p>Effect of pH (<b>a</b>), effect of time (<b>b</b>), effect of dose (<b>c</b>), and effect of Fe<sup>2+</sup> concentration (<b>d</b>) of EiE and EiAgNPs.</p>
Full article ">Figure 5
<p>MRR-IV design plots of Fe<sup>2+</sup> removal (%), including normal plots, Pareto charts, interactions plots, and predicted vs. actual plots for both EiE and EiAgNPs biosorbent., Color points by value of removal % <span class="html-fig-inline" id="plants-14-00040-i001"><img alt="Plants 14 00040 i001" src="/plants/plants-14-00040/article_deploy/html/images/plants-14-00040-i001.png"/></span>.</p>
Full article ">Figure 5 Cont.
<p>MRR-IV design plots of Fe<sup>2+</sup> removal (%), including normal plots, Pareto charts, interactions plots, and predicted vs. actual plots for both EiE and EiAgNPs biosorbent., Color points by value of removal % <span class="html-fig-inline" id="plants-14-00040-i001"><img alt="Plants 14 00040 i001" src="/plants/plants-14-00040/article_deploy/html/images/plants-14-00040-i001.png"/></span>.</p>
Full article ">Figure 6
<p>Adsorption isotherms (<b>a</b>,<b>b</b>), Langmuir isotherms (<b>c</b>,<b>d</b>), and Freundlich isotherms (<b>e</b>,<b>f</b>) for EiE and EiAgNPs, respectively.</p>
Full article ">Figure 6 Cont.
<p>Adsorption isotherms (<b>a</b>,<b>b</b>), Langmuir isotherms (<b>c</b>,<b>d</b>), and Freundlich isotherms (<b>e</b>,<b>f</b>) for EiE and EiAgNPs, respectively.</p>
Full article ">Figure 7
<p>Adsorption kinetics (<b>a</b>,<b>b</b>), pseudo-first order, and (<b>c</b>,<b>d</b>) pseudo-second order for EiE and EiAgNPs, respectively.</p>
Full article ">
21 pages, 5047 KiB  
Article
Inhibitory Activity of N- and S-Functionalized Monoterpene Diols Towards Monoamine Oxidases A and B
by Alexandra V. Podturkina, Oleg V. Ardashov, Yuliya V. Soldatova, Darya A. Poletaeva, Anastasiya V. Smolina, Ekaterina P. Vasyuchenko, Yuri V. Vyatkin, Nikolai S. Li-Zhulanov, Irina I. Faingold, Nariman F. Salakhutdinov and Konstantin P. Volcho
Int. J. Mol. Sci. 2025, 26(1), 97; https://doi.org/10.3390/ijms26010097 - 26 Dec 2024
Viewed by 204
Abstract
Monoamine oxidase B (MAO-B) inhibitors are widely used as part of combination drug therapy for Parkinson’s disease. As demonstrated in both in vitro and in vivo experiments, the monoterpenoid Prottremine and some of its derivatives exhibit high antiparkinsonian activity. In this study, the [...] Read more.
Monoamine oxidase B (MAO-B) inhibitors are widely used as part of combination drug therapy for Parkinson’s disease. As demonstrated in both in vitro and in vivo experiments, the monoterpenoid Prottremine and some of its derivatives exhibit high antiparkinsonian activity. In this study, the inhibitory activity of Prottremine and its derivatives (including 14 new 9-N- and S-derivatives) against MAO-A and MAO-B enzymes has been investigated for the first time. Compounds containing fragments of substituted anilines have demonstrated the highest activity against MAO-A; for example, compound 28 had an IC50 of 178 ± 44 μM. A significant proportion of the compounds tested, including Prottremine, exhibited moderate inhibitory activity towards MAO-B, with the most active being the o-aminoacetophenone derivative, which had an IC50 of 95 ± 5 μM. A molecular docking method for studying murine MAO-A and -B enzymes was developed using AlphaFold2 (v2.3.2), with further improvements. For the MAO-B enzyme, a strong correlation was observed between the molecular docking data and the measured activity of the compounds, with the maximum binding affinity registered for the most active compound. It is conceivable that the antiparkinsonian activity of Prottremine and some of its derivatives may be partially mediated, among other mechanisms, by MAO-B enzyme inhibition. Full article
(This article belongs to the Special Issue Biosynthesis and Application of Natural Compound)
Show Figures

Figure 1

Figure 1
<p>Anti-PD medications: Levodopa (<b>1</b>), Carbidopa (<b>2</b>), Pramipexole (<b>3</b>), Rasagiline (<b>4</b>), Selegiline (<b>5</b>), Zonisamide (<b>6</b>), Entacalone (<b>7</b>), Tolcalone (<b>8</b>), and Ropinirole (<b>9</b>).</p>
Full article ">Figure 2
<p>Comparison of MAO-A (<b>A</b>) and MAO-B (<b>B</b>) enzyme ligand-binding centers. The structures of the murine enzyme are colored turquoise; the amino acids being a part of the active center are colored yellow and their labels indicate residue name and number. The structures of human enzyme are colored green; the amino acids included in the active center are shown as sticks, and the rest as cartoons. The inhibitors from the complexes are colored orange and shown as sticks.</p>
Full article ">Figure 3
<p>Correlation between the minimum ligand-to-protein affinity value and experimental enzyme activity in the presence of this ligand (the data do not include those for DMSO).</p>
Full article ">Figure 4
<p>The site binding compounds <b>28</b> and <b>30</b> to MAO-A (<b>the top panel</b>) and to MAO-B (<b>the bottom panel</b>) (Created with BIOVIA Discovery Studio Visualizer v24.1.0.23298).</p>
Full article ">Scheme 1
<p>Synthesis of diol <b>10</b> (Prottremine) [<a href="#B22-ijms-26-00097" class="html-bibr">22</a>] and its 9<span class="html-italic">S</span>- and 9<span class="html-italic">C</span>-derivatives [<a href="#B28-ijms-26-00097" class="html-bibr">28</a>]; epoxydiol <b>14</b> [<a href="#B29-ijms-26-00097" class="html-bibr">29</a>], and triazole derivative <b>15</b> [<a href="#B36-ijms-26-00097" class="html-bibr">36</a>].</p>
Full article ">Scheme 2
<p>Synthesis of target compounds <b>18</b>–<b>31</b>.</p>
Full article ">
56 pages, 2782 KiB  
Review
Plant-Derived Anti-Cancer Therapeutics and Biopharmaceuticals
by Ghyda Murad Hashim, Mehdi Shahgolzari, Kathleen Hefferon, Afagh Yavari and Srividhya Venkataraman
Bioengineering 2025, 12(1), 7; https://doi.org/10.3390/bioengineering12010007 - 25 Dec 2024
Viewed by 64
Abstract
In spite of significant advancements in diagnosis and treatment, cancer remains one of the major threats to human health due to its ability to cause disease with high morbidity and mortality. A multifactorial and multitargeted approach is required towards intervention of the multitude [...] Read more.
In spite of significant advancements in diagnosis and treatment, cancer remains one of the major threats to human health due to its ability to cause disease with high morbidity and mortality. A multifactorial and multitargeted approach is required towards intervention of the multitude of signaling pathways associated with carcinogenesis inclusive of angiogenesis and metastasis. In this context, plants provide an immense source of phytotherapeutics that show great promise as anticancer drugs. There is increasing epidemiological data indicating that diets rich in vegetables and fruits could decrease the risks of certain cancers. Several studies have proved that natural plant polyphenols, such as flavonoids, lignans, phenolic acids, alkaloids, phenylpropanoids, isoprenoids, terpenes, and stilbenes, could be used in anticancer prophylaxis and therapeutics by recruitment of mechanisms inclusive of antioxidant and anti-inflammatory activities and modulation of several molecular events associated with carcinogenesis. The current review discusses the anticancer activities of principal phytochemicals with focus on signaling circuits towards targeted cancer prophylaxis and therapy. Also addressed are plant-derived anti-cancer vaccines, nanoparticles, monoclonal antibodies, and immunotherapies. This review article brings to light the importance of plants and plant-based platforms as invaluable, low-cost sources of anti-cancer molecules of particular applicability in resource-poor developing countries. Full article
(This article belongs to the Section Biomedical Engineering and Biomaterials)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>The chemical structures of some prominent natural alkaloids and their semisynthetic derivatives serve as effective agents in combating cancer. Reproduced from an open-access source Dhyani et al., 2022 [<a href="#B151-bioengineering-12-00007" class="html-bibr">151</a>].</p>
Full article ">Figure 2
<p>The phototherapy mechanism of action. In photodynamic therapy (PDT), photosensitizers (PS) absorb light, transitioning to an excited state. This leads to two pathways: PDT Type I, where the PS reacts with biomolecules to create reactive oxygen species (ROS), and PDT Type II, where the PS transfers energy directly to oxygen, producing ROS. ROS exhibits high oxidizing power, causing cytotoxic effects primarily near their site of generation due to their short lifespan. PS* refers to the photosensitizer’s excited state. Reproduced from an open access source Pivetta et al., 2021 [<a href="#B212-bioengineering-12-00007" class="html-bibr">212</a>].</p>
Full article ">Figure 3
<p>PVNPs as delivery therapeutic and imaging agents in cancer. (<b>A</b>) Tobacco mosaic virus (TMV) for the targeted delivery of cisplatin in Pt-resistant ovarian cancer cells [<a href="#B312-bioengineering-12-00007" class="html-bibr">312</a>] (Reprinted/Adapted with permission from [<a href="#B272-bioengineering-12-00007" class="html-bibr">272</a>] Copyright© 2018, American Chemical Society. (<b>B</b>) The preparative process for potato virus X (PVX)-HisTRAIL by coordinating the bond between a Ni-nitrilotriacetic (NTA) group on the virus; the His-tag at the N-terminus of HisTRAIL is shown with a purple triangle. Multivalent display of HisTRAIL on the elongated PVX particle permits proper binding on death receptors DR4/5 (the trimers with blue color) for activating the caspase-dependent apoptosis in cancerous cells [<a href="#B313-bioengineering-12-00007" class="html-bibr">313</a>] (Reprinted/Adapted with permission from [<a href="#B273-bioengineering-12-00007" class="html-bibr">273</a>] Copyright© 2019, American Chemical Society). (<b>C</b>) miR-181a is an important target for ovarian cancer therapy. qPCR data and cancer cell migration assays demonstrated higher knockdown efficacy when anti-miR-181a oligonucleotides were encapsulated and delivered using the VLPs resulting in reduced cancer cell invasiveness [<a href="#B314-bioengineering-12-00007" class="html-bibr">314</a>] [Adapted from open access source: 274 Citation needed]. (<b>D</b>) Schematic illustration of Gd-Cy5.5-PhMV-mPEG NPs for cancer imaging. In vivo NIR fluorescence images of PC-3 prostate tumors in athymic nude mice after the intravenous injection of Gd-Cy5.5-PhMV-DGEA [<a href="#B315-bioengineering-12-00007" class="html-bibr">315</a>] [Adapted from open access source 275: Citation needed].</p>
Full article ">Figure 4
<p>PVNPs in cancer immune and combinational therapy (<b>A</b>) Intratumoral administration of plant-derived Cowpea mosaic virus (CPMV) nanoparticles as an in situ vaccine overcomes the local immunosuppression and stimulates a potent anti-tumor response in several mouse cancer models and canine patients [<a href="#B349-bioengineering-12-00007" class="html-bibr">349</a>] (Adapted from open access source: 309, Citation needed). (<b>B</b>) The PhMV-based anti-HER2 vaccine PhMV-CH401, demonstrated efficacy as an anti-HER2 cancer vaccine. Our studies highlight that VLPs derived from PhMV are a promising platform to develop cancer vaccines [<a href="#B350-bioengineering-12-00007" class="html-bibr">350</a>] (Adapted from open access source: 310, Citation needed). (<b>C</b>) Schematic diagram of preparing CCMV VLPs containing ODN 1826 (CCMV-ODN1826) for cancer therapy [<a href="#B315-bioengineering-12-00007" class="html-bibr">315</a>] (Adapted from open access source: 275, Citation needed). (<b>D</b>) Photothermal immunotherapy of melanoma using TLR-7 agonist laden TMV with polydopamine coat [<a href="#B325-bioengineering-12-00007" class="html-bibr">325</a>]. (Adapted from open access source: 285, Citation needed). Statistical significance was measured by one-way ANOVA with Tukey’s test: * <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. ns refers to not significant.</p>
Full article ">
26 pages, 4557 KiB  
Article
Ethanolic Extract of Averrhoa carambola Leaf Has an Anticancer Activity on Triple-Negative Breast Cancer Cells: An In Vitro Study
by Oscar F. Beas-Guzmán, Ariana Cabrera-Licona, Gustavo A. Hernández-Fuentes, Silvia G. Ceballos-Magaña, José Guzmán-Esquivel, Luis De-León-Zaragoza, Mario Ramírez-Flores, Janet Diaz-Martinez, Idalia Garza-Veloz, Margarita L. Martínez-Fierro, Iram P. Rodríguez-Sanchez, Gabriel Ceja-Espíritu, Carmen Meza-Robles, Víctor H. Cervantes-Kardasch and Iván Delgado-Enciso
Pharmaceutics 2025, 17(1), 2; https://doi.org/10.3390/pharmaceutics17010002 - 24 Dec 2024
Viewed by 119
Abstract
Background/Objectives: Averrhoa carambola, or star fruit, is a shrub known for its medicinal properties, especially due to bioactive metabolites identified in its roots and fruit with anti-cancer activity. However, the biological effects of its leaves remain unexplored. This study aimed to [...] Read more.
Background/Objectives: Averrhoa carambola, or star fruit, is a shrub known for its medicinal properties, especially due to bioactive metabolites identified in its roots and fruit with anti-cancer activity. However, the biological effects of its leaves remain unexplored. This study aimed to assess the effects of ethanolic extract from A. carambola leaves on triple-negative breast cancer (TNBC), an aggressive subtype lacking specific therapy. Methods: Phytochemical analysis and HPLC profile and additional cell line evaluation employing MDA-MB-231 were carried out. Results: Phytochemical screening revealed that the ethanolic extract was rich in flavonoids, saponins, and steroids, demonstrating an antioxidant capacity of 45%. 1H NMR analysis indicated the presence of flavonoids, terpenes, and glycoside-like compounds. Cell viability assays showed a concentration-dependent decrease in viability, with an IC50 value of 20.89 μg/mL at 48 h. Clonogenic assays indicated significant inhibition of replicative immortality, with only 2.63% survival at 15 μg/mL. Migration, assessed through a wound healing assay, was reduced to 3.06% at 100 μg/mL, with only 16.23% of cells remaining attached. An additive effect was observed when combining lower concentrations of the extract with doxorubicin, indicating potential synergy. Conclusions: These results suggest that the ethanolic extract of A. carambola leaves contains metabolites with anti-cancer activity against TNBC cells, supporting further research into their bioactive compounds and therapeutic potential. Full article
(This article belongs to the Special Issue Pharmaceutical Applications of Plant Extracts, 2nd Edition)
Show Figures

Figure 1

Figure 1
<p>Chromatograms obtained at 290 nm from HPLC analysis. (<b>A</b>) Chromatogram of standards: gallic acid (GA, Rt 2.385 min), cinnamic acid (CA, Rt 30.795 min), anthrone (ANT, Rt 20.000 min), quercetin (Q, Rt 17.955 min), and 4-methylumbelliferone (4-ML, Rt 10.908 min). (<b>B</b>) Chromatogram of the ethanolic extract of <span class="html-italic">A. carambola</span> (500 ppm). (<b>C</b>) Chromatogram of the hydrolysate of the leaves of <span class="html-italic">A. carambola</span> (500 ppm). S: signal.</p>
Full article ">Figure 2
<p>Viability experiments employing ethanolic extract of <span class="html-italic">A. carambola</span> on MDA-MB-231 cells. (<b>A</b>) No changes in viability were observed in cervical cancer cell line TC-1 exposed to A. carambola extract in increasing concentrations. (<b>B</b>) A concentration-dependent effect was observed on MDA-MB-231 cell line exposed to the extract. (<b>C</b>) The ethanolic extract of <span class="html-italic">A. carambola</span> leaves had an experimental IC<sub>50</sub> of 20.83 μg/mL in triple-negative breast cancer cell line. (<b>D</b>) Morphological changes and detached cells were observed from the concentration of 25 μg/mL of ethanolic extract. Magnification 10×. The <span class="html-italic">p</span>-values correspond to significant differences compared to the control, DMEM-F12 medium with 0.1% DMSO, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 3
<p>Ethanolic extract of <span class="html-italic">A. carambola</span> leaves decreases replicative immortality of MDA-MB-231 cells. (<b>A</b>) Photographs depict the number of colonies formed after the exposition of each treatment. It is observed that a concentration-dependent effect completely inhibits cell survival. (<b>B</b>) The graph shows the percentage of survival treatment. The <span class="html-italic">p</span>-values correspond to significant differences compared to the control, only DMEM medium, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 4
<p>Ethanolic extract of <span class="html-italic">A. carambola</span> leaves interferes with MDA-MB-231 cell migration. (<b>A</b>) Images captured at 48 h of the wound area made in MDA-MB-231 cell monolayers. Magnification 4×. (<b>B</b>) The graph shows the changes in the open area; a concentration-dependent inhibitory effect can be observed at 48 h that was superior to the doxorubicin effect. Comparison to 48 h control, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 5
<p>The ethanolic extract of <span class="html-italic">A. carambola</span> leaves affects the cell adhesion of MDA-MB-231 cells. (<b>A</b>) The micrographs show the adhesive capacity of cells recovered after exposure to <span class="html-italic">A. carambola</span> extract and reseeded for 24 h. The adhesive capacity decreases as the concentration of the extract increases. Magnification 10×. (<b>B</b>) The graphs show the percentage of cells adhered to the monolayer after being treated with the extract for 48, showing a concentration-dependent decrease in adhesion. (<b>C</b>) The graph shows the percentage of cell death after 48 h of treatment. (<b>D</b>) The graph shows the percentage of adhesion of detached cells after treatment that were recovered and reseeded. The <span class="html-italic">p</span>-values correspond to significant changes compared to the control, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 6
<p>The combination of a low dose of doxorubicin and intermediate doses of <span class="html-italic">A. carambola</span> extract reduces the cell viability of MDA-MB-231 cells. The graph shows the reduction in cell viability induced by the different combinations after 48 h of treatment. An additive effect was observed between the 1/5 IC<sub>50</sub> dose of doxorubicin (DOX) and the three tested concentrations of the extract. <sup>a</sup> 0.4 μM DOX + 15 μg/mL extract vs. 15 μg/mL of the extract, <sup>b</sup> 0.4 μM DOX + 25 μg/mL vs. 25 μg/mL, <sup>c</sup> 0.4 μM DOX + 50 μg/mL vs. 50 μg/mL, <sup>d</sup> 2 μM DOX + 15 μg/mL vs. 15 μg/mL, <sup>e</sup> 2 μM DOX + 25 μg/mL vs. 25 μg/mL, <sup>f</sup> 2 μM DOX + 50 μg/mL vs. 50 μg/Ml, <sup>a’</sup> 0.4 μM DOX + 15 μg/mL vs. 0.4 μM DOX, <sup>b’</sup> 0.4 μM DOX + 25 μg/mL vs. 0.4 μM DOX <sup>c’</sup> 0.4 μM DOX + 50 μg/mL vs. 0.4 μM DOX, <sup>d’</sup> 2 μM DOX + 15 μg/mL vs. 2 μM DOX, <sup>e’</sup> 2 μM DOX + 25 μg/mL vs. 2 μM DOX, <sup>f’</sup> 2 μM DOX + 50 μg/mL vs. 2 μM DOX, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">
15 pages, 1409 KiB  
Article
Effect of Using Different Blends of Non-Saccharomyces Yeast Isolated from Italia and Negra Criolla Grapes on the Aromatic Diversity and Sensory Profile of Piscos
by César Augusto Napa-Almeyda, Carolina Muñoz-González, Marcial Silva-Jaimes, Luis Condezo-Hoyos and María Ángeles Pozo-Bayón
Beverages 2024, 10(4), 126; https://doi.org/10.3390/beverages10040126 - 23 Dec 2024
Viewed by 360
Abstract
The objective of this study was to investigate the impact of co-fermentation of Italia and Negra Criolla grape musts using non-Saccharomyces yeast strains (NSYSs) isolated from both grape varieties, on the major volatile compounds and sensory characteristics of Piscos (distilled spirits). Native [...] Read more.
The objective of this study was to investigate the impact of co-fermentation of Italia and Negra Criolla grape musts using non-Saccharomyces yeast strains (NSYSs) isolated from both grape varieties, on the major volatile compounds and sensory characteristics of Piscos (distilled spirits). Native NSYSs previously isolated from Italia (Pichia terricola, Metschnikowia pulcherrima, and Naganishia vaughanmartiniae) and Negra Criolla (Vishniacozyma carnescens, Vishniacozyma heimaeyensis, and Aureobasidium pullulans) grapes’ skins were inoculated at the beginning of grape must fermentation. A centroid simplex design was applied in order to obtain 10 representative yeast blends for use as mono- (n = 3), bi- (n = 3), and ternary (n = 4) inoculations. Additionally, a control sample without inoculum was also set up. For each yeast blend, the volatile composition and sensory characteristics of Piscos were evaluated. Results showed that mono-inoculation using specific NSYSs, such as P. terricola, M. pulcherrima, and N. vaughanmartiniae, led to a notable predominance of some terpenes such as α-terpineol, citronerol, and geraniol in Pisco from Italia grapes compared to the control Pisco. Conversely, in Pisco from Negra Criolla grapes, where V. carnescens, V. heimaeyensis, and A. pullulans were used in a similar mono-inoculation process, a higher presence of phenylethyl alcohol and 2-phenylethyl acetate compared to the control was observed. The sensory analysis revealed that citrus, floral, alcohol, and syrup descriptors had a higher intensity in mono-inoculated Pisco Italia, whereas spice, herbaceous, and cooked vegetable descriptors had the highest intensity in Negra Criolla Piscos produced with ternary NSYS inoculum inoculations. This study demonstrates that the use of native non-Saccharomyces yeast strains in the co-fermentation of grape musts can significantly influence the volatile profile and sensory characteristics of Pisco. These findings will allow us to establish new inoculation strategies to impact the overall sensory and aromatic profile of the Piscos produced with different grape varieties. Full article
(This article belongs to the Section Beverage Technology Fermentation and Microbiology)
Show Figures

Figure 1

Figure 1
<p>Volatile compounds of Italia and Negra Criolla Piscos. Green and red color refers to Italia and Negra Criolla Piscos respectively.</p>
Full article ">Figure 2
<p>PCA biplots: (<b>a</b>) Italia Piscos; (<b>b</b>) Negra Criolla Piscos. Volatile compounds’ labels: benzyl alcohol (Ba), citronellol (C), ethyl butanoate (Eb), ethyl decanoate (Ed), ethyl hexanoate (Ehx), ethyl laurate (ethyl dodecanoate) (El), ethyl octanoate (Eo), ethyl nonanoate (Ep), furfural (F), geraniol (G), 1-hexanol (H), 3-hexen-1-ol (Hol), isoamyl acetate (Ia), linalool (L), limonene (Li), nerol (N), 2-phenylethyl acetate (Pac), phenylethyl alcohol (Pal), α-terpineol (aT). Codes for the samples are shown in <a href="#beverages-10-00126-t001" class="html-table">Table 1</a> and <a href="#beverages-10-00126-t002" class="html-table">Table 2</a>.</p>
Full article ">Figure 3
<p>PCA biplots of sensory descriptors in control Pisco and in Piscos inoculated with different NSYSs: (<b>a</b>) Pisco Italia; (<b>b</b>) Pisco Negra Criolla. Sensory descriptors: alcohol (Al), aniseed (An), butter (Bu), citric (Ci), cooked vegetables (Cv), floral (Fl), fruity (Fr), herbaceous (He), nutty (Nu), oily (Oi), olive (Ol), spicy (Sp), syrup (Sy).</p>
Full article ">
16 pages, 3126 KiB  
Article
Lavender Essential Oil and Its Terpenic Components Negatively Affect Tumor Properties in a Cell Model of Glioblastoma
by Miriam Russo, Noemi Martella, Deborah Gargano, Francesca Fantasma, Chiara Marcovecchio, Veronica Russo, Maria Antonietta Oliva, Marco Segatto, Gabriella Saviano, Sabrina Di Bartolomeo and Antonietta Arcella
Molecules 2024, 29(24), 6044; https://doi.org/10.3390/molecules29246044 - 22 Dec 2024
Viewed by 284
Abstract
Glioblastoma (GBM) is the most common and aggressive form of brain cancer in adults, characterized by extensive growth, a high recurrence rate, and resistance to treatment. Growing research interest is focusing on the biological roles of natural compounds due to their potential beneficial [...] Read more.
Glioblastoma (GBM) is the most common and aggressive form of brain cancer in adults, characterized by extensive growth, a high recurrence rate, and resistance to treatment. Growing research interest is focusing on the biological roles of natural compounds due to their potential beneficial effects on health. Our research aimed to investigate the effects of lavender essential oil (LEO) on a GBM cell model. Chemical characterization using GC-MS analysis indicated that LEO contains several terpenes, compounds that have been found to exhibit anticancer properties by interfering with key cancer-related pathways in several cancer models. By means of cell biology assays, we demonstrated that LEO impairs cell proliferation and migration, and also reduces oxidative stress in U87 cells. We further observed that Terpinen-4-ol, contained in LEO, was capable of reproducing the effects of the oil on GBM cells. Our results suggest that the terpenic molecules present in LEO could be considered valuable allies alongside conventional therapies against GBM. Full article
(This article belongs to the Special Issue Essential Oils in Human Health)
Show Figures

Figure 1

Figure 1
<p>The GC-MS TIC chromatogram of LEO. In the graph, each main component of the oil was labeled with a number (N) based on its elution order, as reported in <a href="#app1-molecules-29-06044" class="html-app">Table S1</a>.</p>
Full article ">Figure 2
<p>LEO administration reduces the proliferation of U87MG cells. (<b>A</b>) U87 cells were cultured in complete DMEM with DMSO as vehicle (Ctrl) or treated with of 5 × 10<sup>−4</sup>, 5 × 10<sup>−3</sup>, and 5 × 10<sup>−2</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) of LEO for 24, 48, and 72 h. At the specified time points, the cells were trypsinized and counted in a Blutzählkammer THOMA chamber, and growth curves were plotted. *** <span class="html-italic">p</span> &lt; 0.001. (<b>B</b>) U87MG cells were cultured in DMEM and treated with 5 × 10<sup>−3</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) LEO, 10 μM TMZ and LEO + TMZ for 24, 48, and 72 h. Cells were then trypsinized and counted as in (<b>A</b>). Data are presented as means ± SD from three independent experiments. Statistical analysis was performed using the two-way ANOVA and Bonferroni’s post hoc test. Asterisk indicates statistical difference vs. Ctrl group; ## indicates statistical difference vs. TMZ group, <span class="html-italic">p</span> &lt; 0.01; * <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. (<b>C</b>) Western blot analysis of p21 and Cyc D1 proteins in U87MG cells treated with 5 × 10<sup>−3</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) for 24, 48, and 72 h. Vinculin was used as loading control. Data are presented as means ± SD from three independent experiments. Statistical significance is assessed with one-way ANOVA test, followed by Tukey’s post hoc and indicated vs. Ctrl as follows: * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01.</p>
Full article ">Figure 3
<p>LEO treatment impairs U87MG cell migration. Representative images (20x magnification) of Transwell migration assay of Ctrl and 5 × 10<sup>−3</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) LEO-treated U87MG cells and quantitative analysis of the relative number of migrating cells/field. Data are presented as means ± SD from three different experiments. Statistical analysis was performed using the unpaired Student’s <span class="html-italic">t</span>-test. *** <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 4
<p>LEO reduces oxidative damage in GBM cells. U87MG cells were cultured in DMEM with DMSO (Ctrl) or treated with 5 × 10<sup>−3</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) LEO for 24 h. Representative immunocytochemistry images and respective signal quantification in fixed U87MG cells illustrate the fluorescence intensity of 8-OH(d)G (red) and 4-HNE (red). Nuclei were counterstained with DAPI (blue). Data represent media ± SD. Statistical significance was assessed using the unpaired Student’s <span class="html-italic">t</span>-test. ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 5
<p>Terpenes enriched in LEO affect cell proliferation. (<b>A</b>) Chemical structures of the most abundant terpenes identified in LEO; (<b>B</b>) U87MG cells were cultured in DMEM with DMSO as vehicle (Ctrl) or incubated with 1.7 × 10<sup>−3</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) linalool, 6.6 × 10<sup>−4%</sup> (<span class="html-italic">v</span>/<span class="html-italic">v</span>) borneol, 2.6 × 10<sup>−4</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) terpinen-4-ol, 3.1 × 10<sup>−4</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) limonene, or 3.1 × 10<sup>−4</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) 1,8-cineole for 24, 48, and 72 h. At these time points, the cells were trypsinized and counted, and growth curves were plotted. Data are presented as means ± SD from three independent experiments. Statistical analysis was performed using the two-way ANOVA and Bonferroni’s post hoc test. Asterisk indicates statistical difference vs. Ctrl group at 24, 48, and 72 h. * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 6
<p>Terpinen-4-ol synergizes with TMZ by upregulating p21 and Cyclin D1. (<b>A</b>) U87MG cells were cultured in DMEM with DMSO as vehicle (Ctrl) or treated with 2.6 × 10<sup>−4</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) terpinen-4-ol, or 10 μM TMZ and terpinen-4-ol + TMZ for 24, 48, and 72 h. After trypsinization, cells were counted as described and growth curves plotted. Data are shown as means ± SD of three independent experiments. Statistical analysis was performed using the two-way ANOVA and Bonferroni’s post hoc test. Asterisk indicates statistical difference vs. Ctrl group; ## indicates statistical difference vs. TMZ group, <span class="html-italic">p</span> &lt; 0.01; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001. (<b>B</b>) Representative western blot and densitometric analysis of p21 and Cyc D1 proteins in U87MG cells cultured in DMEM with DMSO (Ctrl) or treated with 2.6 × 10<sup>−4%</sup> (<span class="html-italic">v</span>/<span class="html-italic">v</span>) terpinen-4-ol for 24, 48, and 72 h. Vinculin was used as loading control. Data are presented as means ± SD of three independent experiments. Statistical significance is assessed with one-way ANOVA test, followed by Tukey’s post hoc and indicated vs. Ctrl 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>
Full article ">Figure 7
<p>Terpinen-4-ol reproduces the effects of LEO in U87 cells. (<b>A</b>) Representative images (20× magnification) of Transwell migration assay of Ctrl and 2.6 × 10<sup>−4</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) terpinen-4-ol-treated U87MG cells and quantitative analysis of the number of migrating cells per field obtained through a Transwell migration assay, as previously reported. (<b>B</b>) U87MG cells were cultured in DMEM with DMSO (Ctrl) or treated with 2.6 × 10<sup>−4</sup>% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) terpinen-4-ol for 24 h. Representative immunocytochemistry images and respective signal quantification on U87MG fixed cells of 8-OH(d)G (red) and 4-HNE (red). Nuclei were counterstained with DAPI (blue). Data represent median ± SD. Statistical significance was determined using the unpaired Student’s <span class="html-italic">t</span>-test. * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">
22 pages, 11558 KiB  
Article
Chemical Composition and Antibacterial Effect of Clove and Thyme Essential Oils on Growth Inhibition and Biofilm Formation of Arcobacter spp. and Other Bacteria
by Leona Hofmeisterová, Tomáš Bajer, Maciej Walczak and David Šilha
Antibiotics 2024, 13(12), 1232; https://doi.org/10.3390/antibiotics13121232 - 20 Dec 2024
Viewed by 391
Abstract
Background: In recent years, significant resistance of microorganisms to antibiotics has been observed. A biofilm is a structure that significantly aids the survival of the microbial population and also significantly affects its resistance. Methods: Thyme and clove essential oils (EOs) were subjected to [...] Read more.
Background: In recent years, significant resistance of microorganisms to antibiotics has been observed. A biofilm is a structure that significantly aids the survival of the microbial population and also significantly affects its resistance. Methods: Thyme and clove essential oils (EOs) were subjected to chemical analysis using gas chromatography coupled to mass spectrometry (GC-MS) and gas chromatography with a flame ionization detector (GC-FID). Furthermore, the antimicrobial effect of these EOs was tested in both the liquid and vapor phases using the volatilization method. The effect of the EOs on growth parameters was monitored using an RTS-8 bioreactor. However, the effect of the EOs on the biofilm formation of commonly occurring bacteria with pathogenic potential was also monitored, but for less described and yet clinically important strains of Arcobacter spp. Results: In total, 37 and 28 compounds were identified in the thyme and clove EO samples, respectively. The most common were terpenes and also derivatives of phenolic substances. Both EOs exhibited antimicrobial activity in the liquid and/or vapor phase against at least some strains. The determined antimicrobial activity of thyme and clove oil was in the range of 32–1024 µg/mL in the liquid phase and 512–1024 µg/mL in the vapor phase, respectively. The results of the antimicrobial effect are also supported by similar conclusions from monitoring growth curves using the RTS bioreactor. The effect of EOs on biofilm formation differed between strains. Biofilm formation of Pseudomonas aeruginosa was completely suppressed in an environment with a thyme EO concentration of 1024 µg/mL. On the other hand, increased biofilm formation was found, e.g., in an environment of low concentration (1–32 µg/mL). Conclusions: The potential of using natural matrices as antimicrobials or preservatives is evident. The effect of these EOs on biofilm formation, especially Arcobacter strains, is described for the first time. Full article
(This article belongs to the Special Issue Microbial Biofilms: Identification, Resistance and Novel Drugs)
Show Figures

Figure 1

Figure 1
<p>Growth curves of selected bacteria in a thyme essential oil environment. (<b>A</b>) <span class="html-italic">Pseudomonas aeruginosa</span> CCM 1961; (<b>B</b>) <span class="html-italic">Staphylococcus aureus</span> CCM 4223; (<b>C</b>) <span class="html-italic">Escherichia coli</span> CCM 2024; (<b>D</b>) <span class="html-italic">Enterococcus faecalis</span> CCM 4222. <span class="html-fig-inline" id="antibiotics-13-01232-i001"><img alt="Antibiotics 13 01232 i001" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i001.png"/></span> negative control; <span class="html-fig-inline" id="antibiotics-13-01232-i002"><img alt="Antibiotics 13 01232 i002" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i002.png"/></span> positive control; <span class="html-fig-inline" id="antibiotics-13-01232-i003"><img alt="Antibiotics 13 01232 i003" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i003.png"/></span> 32 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i004"><img alt="Antibiotics 13 01232 i004" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i004.png"/></span> 64 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i005"><img alt="Antibiotics 13 01232 i005" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i005.png"/></span> 128 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i006"><img alt="Antibiotics 13 01232 i006" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i006.png"/></span> 256 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i007"><img alt="Antibiotics 13 01232 i007" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i007.png"/></span> 512 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i008"><img alt="Antibiotics 13 01232 i008" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i008.png"/></span> 1024 µg/mL.</p>
Full article ">Figure 2
<p>Growth curves of selected bacteria in a thyme essential oil environment. (<b>A</b>) <span class="html-italic">Arcobacter butzleri</span> CCUG 30484; (<b>B</b>) <span class="html-italic">Arcobacter cryaerophilus</span> CCM 7050; (<b>C</b>) <span class="html-italic">Arcobacter skirrowii</span> LMG 6621; (<b>D</b>) <span class="html-italic">Arcobacter defluvii</span> LMG 25694. <span class="html-fig-inline" id="antibiotics-13-01232-i001"><img alt="Antibiotics 13 01232 i001" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i001.png"/></span> negative control; <span class="html-fig-inline" id="antibiotics-13-01232-i002"><img alt="Antibiotics 13 01232 i002" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i002.png"/></span> positive control; <span class="html-fig-inline" id="antibiotics-13-01232-i003"><img alt="Antibiotics 13 01232 i003" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i003.png"/></span> 32 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i004"><img alt="Antibiotics 13 01232 i004" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i004.png"/></span> 64 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i005"><img alt="Antibiotics 13 01232 i005" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i005.png"/></span> 128 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i006"><img alt="Antibiotics 13 01232 i006" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i006.png"/></span> 256 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i007"><img alt="Antibiotics 13 01232 i007" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i007.png"/></span> 512 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i008"><img alt="Antibiotics 13 01232 i008" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i008.png"/></span> 1024 µg/mL.</p>
Full article ">Figure 3
<p>Growth curves of selected bacteria in a clove essential oil environment. (<b>A</b>) <span class="html-italic">Pseudomonas aeruginosa</span> CCM 1961; (<b>B</b>) <span class="html-italic">Staphylococcus aureus</span> CCM 4223; (<b>C</b>) <span class="html-italic">Escherichia coli</span> CCM 2024; (<b>D</b>) <span class="html-italic">Enterococcus faecalis</span> CCM 4222. <span class="html-fig-inline" id="antibiotics-13-01232-i001"><img alt="Antibiotics 13 01232 i001" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i001.png"/></span> negative control; <span class="html-fig-inline" id="antibiotics-13-01232-i002"><img alt="Antibiotics 13 01232 i002" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i002.png"/></span> positive control; <span class="html-fig-inline" id="antibiotics-13-01232-i003"><img alt="Antibiotics 13 01232 i003" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i003.png"/></span> 32 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i004"><img alt="Antibiotics 13 01232 i004" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i004.png"/></span> 64 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i005"><img alt="Antibiotics 13 01232 i005" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i005.png"/></span> 128 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i006"><img alt="Antibiotics 13 01232 i006" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i006.png"/></span> 256 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i007"><img alt="Antibiotics 13 01232 i007" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i007.png"/></span> 512 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i008"><img alt="Antibiotics 13 01232 i008" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i008.png"/></span> 1024 µg/mL.</p>
Full article ">Figure 4
<p>Growth curves of selected bacteria in a clove essential oil environment. (<b>A</b>) <span class="html-italic">Arcobacter butzleri</span> CCUG 30484; (<b>B</b>) <span class="html-italic">Arcobacter cryaerophilus</span> CCM 7050; (<b>C</b>) <span class="html-italic">Arcobacter skirrowii</span> LMG 6621; (<b>D</b>) <span class="html-italic">Arcobacter defluvii</span> LMG 25694. <span class="html-fig-inline" id="antibiotics-13-01232-i001"><img alt="Antibiotics 13 01232 i001" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i001.png"/></span> negative control; <span class="html-fig-inline" id="antibiotics-13-01232-i002"><img alt="Antibiotics 13 01232 i002" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i002.png"/></span> positive control; <span class="html-fig-inline" id="antibiotics-13-01232-i003"><img alt="Antibiotics 13 01232 i003" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i003.png"/></span> 32 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i004"><img alt="Antibiotics 13 01232 i004" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i004.png"/></span> 64 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i005"><img alt="Antibiotics 13 01232 i005" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i005.png"/></span> 128 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i006"><img alt="Antibiotics 13 01232 i006" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i006.png"/></span> 256 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i007"><img alt="Antibiotics 13 01232 i007" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i007.png"/></span> 512 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i008"><img alt="Antibiotics 13 01232 i008" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i008.png"/></span> 1024 µg/mL.</p>
Full article ">Figure 4 Cont.
<p>Growth curves of selected bacteria in a clove essential oil environment. (<b>A</b>) <span class="html-italic">Arcobacter butzleri</span> CCUG 30484; (<b>B</b>) <span class="html-italic">Arcobacter cryaerophilus</span> CCM 7050; (<b>C</b>) <span class="html-italic">Arcobacter skirrowii</span> LMG 6621; (<b>D</b>) <span class="html-italic">Arcobacter defluvii</span> LMG 25694. <span class="html-fig-inline" id="antibiotics-13-01232-i001"><img alt="Antibiotics 13 01232 i001" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i001.png"/></span> negative control; <span class="html-fig-inline" id="antibiotics-13-01232-i002"><img alt="Antibiotics 13 01232 i002" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i002.png"/></span> positive control; <span class="html-fig-inline" id="antibiotics-13-01232-i003"><img alt="Antibiotics 13 01232 i003" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i003.png"/></span> 32 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i004"><img alt="Antibiotics 13 01232 i004" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i004.png"/></span> 64 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i005"><img alt="Antibiotics 13 01232 i005" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i005.png"/></span> 128 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i006"><img alt="Antibiotics 13 01232 i006" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i006.png"/></span> 256 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i007"><img alt="Antibiotics 13 01232 i007" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i007.png"/></span> 512 µg/mL; <span class="html-fig-inline" id="antibiotics-13-01232-i008"><img alt="Antibiotics 13 01232 i008" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i008.png"/></span> 1024 µg/mL.</p>
Full article ">Figure 5
<p>Effect of thyme EO on biofilm formation of common bacteria (<b>A</b>) and <span class="html-italic">Arcobacter</span> species (<b>B</b>). Data are presented as mean value of optical density (OD) ± SD. <span class="html-fig-inline" id="antibiotics-13-01232-i009"><img alt="Antibiotics 13 01232 i009" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i009.png"/></span> <span class="html-italic">Pseudomonas aeruginosa</span> CCM 1961, <span class="html-italic">Arcobacter butzleri</span> CCUG 30484; <span class="html-fig-inline" id="antibiotics-13-01232-i010"><img alt="Antibiotics 13 01232 i010" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i010.png"/></span> <span class="html-italic">Staphylococcus aureus</span> CCM 4223, <span class="html-italic">Arcobacter cryaerophilus</span> CCM 7050; <span class="html-fig-inline" id="antibiotics-13-01232-i011"><img alt="Antibiotics 13 01232 i011" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i011.png"/></span> <span class="html-italic">Enterococcus faecalis</span> CCM 4224, <span class="html-italic">Arcobacter skirrowii</span> LMG 6621; <span class="html-fig-inline" id="antibiotics-13-01232-i012"><img alt="Antibiotics 13 01232 i012" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i012.png"/></span> <span class="html-italic">Escherichia coli</span> CCM 2024, <span class="html-italic">Arcobacter defluvii</span> LMG 25694; <span class="html-fig-inline" id="antibiotics-13-01232-i013"><img alt="Antibiotics 13 01232 i013" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i013.png"/></span> positive control.</p>
Full article ">Figure 6
<p>Effect of clove EO on biofilm formation of common bacteria (<b>A</b>) and <span class="html-italic">Arcobacter</span> species (<b>B</b>). Data are presented as mean value of optical density (OD) ± SD. <span class="html-fig-inline" id="antibiotics-13-01232-i009"><img alt="Antibiotics 13 01232 i009" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i009.png"/></span> <span class="html-italic">Pseudomonas aeruginosa</span> CCM 1961, <span class="html-italic">Arcobacter butzleri</span> CCUG 30484; <span class="html-fig-inline" id="antibiotics-13-01232-i010"><img alt="Antibiotics 13 01232 i010" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i010.png"/></span> <span class="html-italic">Staphylococcus aureus</span> CCM 4223, <span class="html-italic">Arcobacter cryaerophilus</span> CCM 7050; <span class="html-fig-inline" id="antibiotics-13-01232-i011"><img alt="Antibiotics 13 01232 i011" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i011.png"/></span> <span class="html-italic">Enterococcus faecalis</span> CCM 4224, <span class="html-italic">Arcobacter skirrowii</span> LMG 6621; <span class="html-fig-inline" id="antibiotics-13-01232-i012"><img alt="Antibiotics 13 01232 i012" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i012.png"/></span> <span class="html-italic">Escherichia coli</span> CCM 2024, <span class="html-italic">Arcobacter defluvii</span> LMG 25694; <span class="html-fig-inline" id="antibiotics-13-01232-i013"><img alt="Antibiotics 13 01232 i013" src="/antibiotics/antibiotics-13-01232/article_deploy/html/images/antibiotics-13-01232-i013.png"/></span> positive control.</p>
Full article ">
15 pages, 2968 KiB  
Article
Gynoxys reinaldii Cuatrec. and Gynoxys pulchella (Kunth) Cass.: Chemical and Enantioselective Analyses of Two Unprecedented Essential Oils from Ecuador
by Yessenia E. Maldonado, María del Carmen Rodríguez, Karyna Calvopiña, Omar Malagón, Nixon Cumbicus and Gianluca Gilardoni
Plants 2024, 13(24), 3543; https://doi.org/10.3390/plants13243543 - 19 Dec 2024
Viewed by 383
Abstract
This study presents the first chemical and enantioselective analyses of essential oils (EOs) derived from the leaves of two endemic species, Gynoxys reinaldii Cuatrec. and Gynoxys pulchella (Kunth) Cass., from Loja, Ecuador. The distillation yields, by weight of dry plant material, were 0.04 [...] Read more.
This study presents the first chemical and enantioselective analyses of essential oils (EOs) derived from the leaves of two endemic species, Gynoxys reinaldii Cuatrec. and Gynoxys pulchella (Kunth) Cass., from Loja, Ecuador. The distillation yields, by weight of dry plant material, were 0.04 ± 0.007% for G. reinaldii and 0.03 ± 0.002% for G. pulchella. For both plants, the chemical analyses were conducted by GC-MS (qualitative) and GC-FID (quantitative), on two stationary phases of different polarity (5% phenyl-methylpolysiloxane and polyethylene glycol). The major components of G. reinaldii EO included germacrene D (22.3–22.1%), α-pinene (14.2–14.1%), and (E)-β-caryophyllene (13.6–14.5%). Similarly, G. pulchella EO was characterized by germacrene D (9.5–12.9%), caryophyllene oxide (7.2–6.7%), and n-tricosane (4.9% in both columns). The enantioselective analyses were carried out with two columns, based on 2,3-diacetyl-6-tert-butyldimethylsilyl-β-cyclodextrin and 2,3-diethyl-6-tert-butyldimethylsilyl-β-cyclodextrin, detecting nine chiral terpenes and terpenoids. In G. reinaldii EO, (1S,5S)-(−)-α-pinene, (1S,5S)-(−)-β-pinene, (1S,5S)-(−)-sabinene, (R)-(−)-α-phellandrene, and (R)-(−)-β-phellandrene were enantiomerically pure, whereas cis-linalool oxide, linalool, terpinene-4-ol, and germacrene D were non-racemic mixtures of enantiomers. In G. pulchella, only (R)-(−)-α-phellandrene was enantiomerically pure. The detection of enantiomerically pure compounds may provide insights into the biosynthetic pathways and potential bioactivities of these EOs. Full article
(This article belongs to the Special Issue Chemical Analysis and Biological Activities of Plant Essential Oils)
Show Figures

Figure 1

Figure 1
<p>Compared GC-MS profiles of <span class="html-italic">G. reinaldii</span> (blue) and <span class="html-italic">G. pulchella</span> (red) EOs from on a 5% phenyl-methylpolysiloxane stationary phase. The numbers refer to peak numbers in <a href="#plants-13-03543-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 2
<p>Compared GC-MS profiles of <span class="html-italic">G. reinaldii</span> (blue) and <span class="html-italic">G. pulchella</span> (red) EOs on a polyethylene glycol stationary phase. The numbers refer to peak numbers in <a href="#plants-13-03543-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 3
<p>Compared GC-MS profiles of <span class="html-italic">G. reinaldii</span> (blue) and <span class="html-italic">G. pulchella</span> (red) EOs on a 2,3-diethyl-6-<span class="html-italic">tert</span>-butyldimethylsilyl-β-cyclodextrin stationary phase.</p>
Full article ">Figure 4
<p>Compared GC-MS profiles of <span class="html-italic">G. reinaldii</span> (blue) and <span class="html-italic">G. pulchella</span> (red) EOs on a 2,3-diacethyl-6-<span class="html-italic">tert</span>-butyldimethylsilyl-β-cyclodextrin stationary phase.</p>
Full article ">Figure 5
<p>Compared abundance of major compounds (≥3.0 in at least one oil) in the EOs of <span class="html-italic">G. reinaldii</span> (red) and <span class="html-italic">G. pulchella</span> (black). Abundances correspond to the mean values of the quantitative results with both columns.</p>
Full article ">Figure 6
<p>Compared enantiomeric composition of some chiral compounds in the EOs of <span class="html-italic">G. reinaldii</span> (red) and <span class="html-italic">G. pulchella</span> (black).</p>
Full article ">Figure 7
<p>Major terpene constituents of <span class="html-italic">G. reinaldii</span> and <span class="html-italic">G. pulchella</span> EOs (≥3.0 in at least one oil, as a mean value on both columns). The numbers refer to <a href="#plants-13-03543-t001" class="html-table">Table 1</a>: α-pinene (<b>2</b>), (<span class="html-italic">E</span>)-β-caryophyllene (<b>51</b>), germacrene D (<b>62</b>), spathulenol (<b>79</b>), and caryophyllene oxide (<b>80</b>).</p>
Full article ">
15 pages, 1187 KiB  
Article
Enhancing Flavor Complexity in Craft Beer: Sequential Inoculation with Indigenous Non-Saccharomyces and Commercial Saccharomyces Yeasts
by María Victoria Mestre Furlani, Mercedes Fabiana Vargas Perucca, Diego Bernardo Petrignani, Silvia Cristina Vergara, María José Leiva-Alaniz, Yolanda Paola Maturano, Fabio Vazquez and Eduardo Dellacassa
Fermentation 2024, 10(12), 657; https://doi.org/10.3390/fermentation10120657 - 19 Dec 2024
Viewed by 393
Abstract
The pursuit of unique flavors in craft beer has led to the exploration of non-Saccharomyces (NS) yeasts. While Saccharomyces species dominate beer fermentation, NS yeasts offer flavor diversification. However, their lower fermentation efficiency and ethanol sensitivity limit their use. This study evaluated [...] Read more.
The pursuit of unique flavors in craft beer has led to the exploration of non-Saccharomyces (NS) yeasts. While Saccharomyces species dominate beer fermentation, NS yeasts offer flavor diversification. However, their lower fermentation efficiency and ethanol sensitivity limit their use. This study evaluated 50 NS yeast strains from Argentina’s Cuyo wine region. Torulaspora delbrueckii was selected for sequential fermentations with Saccharomyces cerevisiae due to its promising fermentative and physiological characteristics. Sequential inoculation resulted in a significant increase in fruity and spicy aromas, particularly esters like isoamyl acetate, ethyl hexanoate, and ethyl octanoate, as well as terpenes like limonene and linalool. Sensory analysis revealed that beers produced with T. delbrueckii were characterized by a more complex aroma profile, with significant increases in fruity, floral, and herbaceous notes. Additionally, the sequential fermentation strategy resulted in a higher apparent attenuation compared to pure T. delbrueckii fermentation, indicating improved sugar utilization. These findings highlight the potential of NS yeasts to enhance beer sensory characteristics. Combining NS yeasts with traditional Saccharomyces strains creates beers with distinctive flavors, expanding brewing possibilities. Sequential inoculation strategies offer a viable approach to harnessing the benefits of NS yeasts while ensuring fermentation. This research demonstrates the potential of NS yeasts to enrich the sensory experience of drinking craft beer, paving the way for further innovation in the brewing industry. Full article
Show Figures

Figure 1

Figure 1
<p>Fermentation dynamics in beers produced by selected strains under pure conditions and using the commercial yeast US05 as a control.</p>
Full article ">Figure 2
<p>Aromatic profile of the beers obtained based on the aromatic series with OAVs &gt; 1.</p>
Full article ">Figure 3
<p>Fermentation kinetics (measured as CO<sub>2</sub> release) of T1, T2, and T3.</p>
Full article ">Figure 4
<p>Sensory analysis of beer obtained from BTd3/US05 (T1), BTd3 (T2), and US05 (T3).</p>
Full article ">
14 pages, 267 KiB  
Article
Enhancing the Aroma of Dealcoholized La Mancha Tempranillo Rosé Wines with Their Aromatic Distillates
by M. Osorio Alises, E. Sánchez-Palomo and M. A. González Viñas
Beverages 2024, 10(4), 123; https://doi.org/10.3390/beverages10040123 - 19 Dec 2024
Viewed by 346
Abstract
The increasing demand for non-alcoholic beverages has led to the development of dealcoholized wines. However, current dealcoholization techniques often negatively impact wine aroma due to the loss of volatile compounds. This study investigates the impact of incorporating an aromatic distillate, collected during the [...] Read more.
The increasing demand for non-alcoholic beverages has led to the development of dealcoholized wines. However, current dealcoholization techniques often negatively impact wine aroma due to the loss of volatile compounds. This study investigates the impact of incorporating an aromatic distillate, collected during the spinning cone column (SCC) dealcoholization process, back into dealcoholized Tempranillo rosé wines. The aromatic distillate was added to dealcoholized wine in varying concentrations (0.5%, 1.0%, and 1.5% v/v). A total of 57 volatile compounds, including 25 varietal and 32 fermentative compounds, were identified and quantified using gas chromatography–mass spectrometry (GC-MS). The addition of the aromatic distillate significantly increased the concentration of several volatile compounds, notably C6 compounds, terpenes, benzene compounds, and esters. The odor activity values (OAVs) reveal that increasing distillate concentrations led to a higher number of compounds with OAVs greater than 1, indicating enhanced individual aroma contributions. The fruity and sweet aromatic series were predominant in all samples, with their total intensity increasing with higher distillate concentrations. However, the addition of 1.5% v/v of the aromatic distillate (AW3) resulted in an alcohol content exceeding the legal limit for dealcoholized wine, classifying it as a reduced-alcohol wine. The study concludes that adding 1% v/v of the aromatic distillate to dealcoholized Tempranillo rosé wine effectively enhances the aroma profile while remaining within regulatory limits for dealcoholized wine. This approach presents a viable method for producing high-quality, aromatic, dealcoholized wines that meet consumer demand for non-alcoholic beverages. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">
17 pages, 1031 KiB  
Article
Comprehensive Analysis of Volatile Organic Compounds and Their Impact on Apple Quality Following Some Essential Oil Treatments Against Botrytis cinerea
by Sinem Karakus, Harlene Hatterman-Valenti, Muge Sahin and Ozkan Kaya
Horticulturae 2024, 10(12), 1359; https://doi.org/10.3390/horticulturae10121359 - 18 Dec 2024
Viewed by 432
Abstract
The susceptibility of apples to post-harvest decay by the fungus Botrytis cinerea has prompted innovative research into alternative preservation methods. In this regard, essential oils (EOs) have emerged as promising candidates due to their natural origin and potential antimicrobial properties. Investigating the biological [...] Read more.
The susceptibility of apples to post-harvest decay by the fungus Botrytis cinerea has prompted innovative research into alternative preservation methods. In this regard, essential oils (EOs) have emerged as promising candidates due to their natural origin and potential antimicrobial properties. Investigating the biological significance of EO blends is crucial for understanding their potential antimicrobial mechanisms and evaluating their capacity to modulate metabolic responses that could inhibit post-harvest fungal decay in fruit tissues. This study delves into the intricate chemistry of apples when subjected to various EO treatments, shedding light on the profound changes in alcohols, esters, C6 compounds, terpenes, and volatile compounds. Based on our results, terpene concentrations exhibit significant variations with α-Pinene ranging from 13.4 µg L−1 in Fungus + Thymol + 1,8-Cineole treatment (Fun+Thy+Cin) to 28.7 µg L−1 in Fungus + Thymol + 1,8-Cineole + Eugenol treatment (Fun+Thy+Cin+Eug), and β-Pinene concentrations spanning 19.3 µg L−1 in Fungus + 1,8-Cineole + Eugenol treatment (Fun+Cin+Eug) to 45.5 µg L−1 in Fungus + Thymol + 1,8-Cineole + Eugenol treatment (Fun+Thy+Cin+Eug). Ester elaboration presents marked changes, with ethyl octanoate peaking at 715.7 µg L−1 in Fungus + Thymol + 1,8-Cineole + Eugenol treatment (Fun+Thy+Cin+Eug) and ethyl propionate reaching 152.9 µg L−1 in Fungus + Thymol treatment (Fun+Thy). The volatile compound dynamics also demonstrate significant variations, with hexanoic acid concentrations ranging from 0.1 to 0.2 among treatments and 3-Methylbutanal displaying concentrations from 0.8 to 6.4, with the highest concentration observed in the Control. The essential oil combination of Thymol, Eugenol, and 1,8-Cineol (Fun+Thy+Cin+Eug) had the most significant impact on the volatile compound content in the fruits. The findings from this study unveil the intricate responses of apple chemistry to various EO treatments. These insights hold promise for enhancing post-harvest apple preservation strategies through the modulation of EO treatments. Full article
(This article belongs to the Special Issue Advances in Postharvest Packaging and Preservation Techniques)
Show Figures

Figure 1

Figure 1
<p>A heatmap analysis that scrutinizes numerous components from volatile organic compounds is demonstrated.</p>
Full article ">Figure 2
<p>CDP 25, 50, 75 values (°C, X ± SE, n = 54) detected in volatile organic compounds of essential oils applied to apples (mCDP, <span class="html-italic">p</span> ≤ 0.01).</p>
Full article ">
16 pages, 3318 KiB  
Article
Surfactant-Free w/o Gelled Emulsions with Benzyl Alcohol: Analytical Study for Varnish Removal on Oil Paintings
by Marianna Potenza, Silvia Germinario, Stefano Volpin, Elisa Isella, Paolo Cremonesi and Antonella Casoli
Appl. Sci. 2024, 14(24), 11821; https://doi.org/10.3390/app142411821 - 18 Dec 2024
Viewed by 277
Abstract
In this study, the use of surfactant-free water-in-oil gelled emulsions containing benzyl alcohol (BAl/w) is proposed as an alternative to the more traditional use of organic solvents for removing varnishes. To mitigate the strong swelling and solvent action of benzyl alcohol and protect [...] Read more.
In this study, the use of surfactant-free water-in-oil gelled emulsions containing benzyl alcohol (BAl/w) is proposed as an alternative to the more traditional use of organic solvents for removing varnishes. To mitigate the strong swelling and solvent action of benzyl alcohol and protect the paint and the underlying layers, temporary hydrophobization with cyclomethicone D5 has been proposed. The aim of this study was to evaluate the application of BAl/w surfactant-free, constructed with three different gelling agents of the aqueous dispersing phase (xanthan gum, agar-agar, and polyacrylate) on the surface of an oil painting varnished with and without preliminary saturation with D5. The role of pH, which can influence the ionization, and therefore the water solubility of terpene molecules and all other acid species present on the surface, was also studied. Fourier transform infrared (FT-IR) and Raman spectroscopies were used to characterize the pigments and the surface before and after varnish removal. Elemental analysis and any morphological changes were evaluated using scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS). The leaching efficiency of each surfactant-free emulsion applied on the paint surface was evaluated using a gas chromatography/mass spectroscopy (GC/MS) analysis: the fatty acid content was established in each sample before and after the treatments. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic representation of the experimental phases of the work.</p>
Full article ">Figure 2
<p>Oil painting on canvas, 50 × 70 cm, Angelo Pratesi, 20th century, before the varnish removal.</p>
Full article ">Figure 3
<p>FT-IR spectra of two samples on the front (NT1 and NT2) before the varnish removal treatments compared with standard of natural resin (dammar) and linseed oil.</p>
Full article ">Figure 4
<p>Raman spectra on sample 4 on three different pigments investigated. * = anatase; ° = rutile.</p>
Full article ">Figure 5
<p>Cross-section of not-treated sample: elementary maps of zinc, barium, sulfur, titanium, and calcium. Scale bar: 150 μm.</p>
Full article ">Figure 6
<p>FT-IR spectra on 8 and 8D samples after varnish removal.</p>
Full article ">Figure 7
<p>SEM-EDS image of cross-section of sample 3 after treatment with xanthan and BAl. Elementary maps of zinc (light blue), barium (yellow), sulfur (orange), titanium (white), and calcium (pink). Scale bar: 200 μm.</p>
Full article ">
19 pages, 565 KiB  
Article
Larvicidal and Oviposition Activity of Commercial Essential Oils of Abies sibirica Ledeb., Pogostemon cablin (Blanco) Benth., Juniperus communis L. and Their Combinations Against Aedes aegypti
by Júlio César Ribeiro de Oliveira Farias de Aguiar, Ana Carla da Silva, Eduarda Florêncio Santos, Gilson José da Silva Gomes Vieira, Liderlanio de Almeida Araújo, José Jorge Almeida de Andrade, Wevertton Marllon Anselmo, Suyana Karolyne Lino da Rocha, Fábio Henrique Galdino dos Santos, Camila Caroline Lopes Arruda, Caroline Francisca de Oliveira Albuquerque, Libna Larissa Monteiro Claudino, Priscila Soares da Silva, Danilo Gustavo Rodrigues Silva, João Vitor Castro Aguiar, Bruno Oliveira de Veras and Daniela Maria do Amaral Ferraz Navarro
Molecules 2024, 29(24), 5921; https://doi.org/10.3390/molecules29245921 - 15 Dec 2024
Viewed by 888
Abstract
Aedes aegypti is a vector responsible for the transmission of various arboviruses and is considered by the World Health Organization to be one of the main public health problems in the world. This study evaluated the larvicidal and oviposition activity of essential oils [...] Read more.
Aedes aegypti is a vector responsible for the transmission of various arboviruses and is considered by the World Health Organization to be one of the main public health problems in the world. This study evaluated the larvicidal and oviposition activity of essential oils from Abies sibirica, Pogostemon cablin and Juniperus communis and their formulations. Chromatographic analysis by GCMS identified a total of 28, 52 and 18 compounds for the oils of the species A. sibirica, J. communis and P. cablin, respectively. The larvicidal bioassays showed an LC50 of 67.53 ppm, 92.45 ppm and 35.95 ppm, respectively, for A. sibirica (A), J. communis (J) and P. cablin (P) as well as their binary (J + P, 39.50 ppm; A + P, 51.64 ppm) and ternary (A + J + P, 66.99 ppm) formulations. These oils and formulations also showed deterrent activity at the larvicidal concentrations tested (A. sibirica: OAI: −0.41; J. communis: OAI: −0.31; P. cablin: OAI: −0.62; A + J + P: −0.30; A + P: −0.68; A + J: −0.29; and J + P: −0.30). The oils and their formulations are a potential larvicidal source for mitigating the proliferation of diseases by this vector. Full article
(This article belongs to the Special Issue Study on Extraction and Chemical Constituents of Natural Extracts)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Histogram with the average percentage of eggs deposited in the oviposition bioassay and the respective deviation for control solutions, essential oils and their formulations.</p>
Full article ">
19 pages, 2490 KiB  
Article
Mayan Medicinal Plants Bignonia potosina and Thouinia paucidentata Demonstrate Anti-Infective Properties Against the Priority Antibiotic-Resistant Bacteria Acinetobacter baumannii and Pseudomonas aeruginosa
by Gloria María Molina-Salinas, Angel Dzul-Beh, Andrés Humberto Uc-Cachón, Haziel Eleazar Dzib-Baak, Avel Adolfo González-Sánchez, Geovani Antonio Palma-Pech and Carlos Javier Quintal-Novelo
Plants 2024, 13(24), 3498; https://doi.org/10.3390/plants13243498 - 14 Dec 2024
Viewed by 629
Abstract
(1) Background: Carbapenem-resistant Acinetobacter baumannii (CBRAB) and Pseudomonas aeruginosa (CBRPA) are critical and high-priority pathogens that require new therapeutic developments. Medicinal plants are valuable pharmaceutical resources. This study explored the anti-infective properties of Mayan plants, Bignonia potosina, and Thouinia paucidentata. (2) [...] Read more.
(1) Background: Carbapenem-resistant Acinetobacter baumannii (CBRAB) and Pseudomonas aeruginosa (CBRPA) are critical and high-priority pathogens that require new therapeutic developments. Medicinal plants are valuable pharmaceutical resources. This study explored the anti-infective properties of Mayan plants, Bignonia potosina, and Thouinia paucidentata. (2) Methods: Plant parts were extracted using n-hexane, and their ability to inhibit bacterial growth and counteract resistance mechanisms and virulence factors in CBRAB and CBRPA was assessed. GC-MS analysis of the composition of the non-polar extracts and chemometric techniques correlated the phytoconstituents with anti-infective properties. (3) Results: Bignonia potosina liana and flower extracts exhibited potent antibacterial activity against A. baumannii strains (MIC 15.7 to 250 µg/mL) and moderate activity against P. aeruginosa strains (MIC 250 to 1000 µg/mL). Thouinia paucidentata leaf extract at 1000 µg/mL reduced imipenem MIC by 2048-fold for CBRAB, and B. potosina flower extract significantly inhibited A. baumannii catalase activity (at 62.5 µg/mL) and reduced P. aeruginosa pyocyanin production (at 1000 µg/mL). Chemometric analysis identified fatty acids, fatty acid amides, terpenes, and higher alkanes as contributors to their anti-infective properties. (4) Conclusions: This study highlights the potential of medicinal plants in the development of novel anti-infective therapies against CBRAB and CBRPA with various targets. Full article
Show Figures

Figure 1

Figure 1
<p>Anti-biofilm activity of <span class="html-italic">Bignonia potosina</span> and <span class="html-italic">Thouinia paucidentata n</span>-Hex extracts against strong biofilm-producing CBRAB (UIMY-ABA-81). Values ± SD with the same letter showed non-significant differences in the post hoc Tukey test (<span class="html-italic">p</span> &lt; 0.05). From <span class="html-italic">B. potosina</span>: BPLi: <span class="html-italic">n</span>-Hex liana extract; BPF: <span class="html-italic">n</span>-Hex flower extract; BPL: <span class="html-italic">n</span>-Hex leaf extract. From <span class="html-italic">T. paucidentata</span> TPB: <span class="html-italic">n</span>-Hex bark extract; TPL: <span class="html-italic">n</span>-Hex leaf extract.</p>
Full article ">Figure 2
<p>Anti-biofilm activity of <span class="html-italic">Bignonia potosina</span> and <span class="html-italic">Thouinia paucidentata</span> extracts against strong biofilm-producing CBRPA (<span class="html-italic">Pseudomonas aeruginosa</span> ATCC-35032) at sub-inhibitory concentrations. Values ± SD with the same letter showed non-significant differences in the post hoc Tukey test (<span class="html-italic">p</span> &lt; 0.05). From <span class="html-italic">B. potosina</span>: BPLi: <span class="html-italic">n</span>-Hex liana extract; BPF: <span class="html-italic">n</span>-Hex flower extract; BPL: <span class="html-italic">n</span>-Hex leaf extract. From <span class="html-italic">T. paucidentata</span> TPB: <span class="html-italic">n</span>-Hex bark extract; TPL: <span class="html-italic">n</span>-Hex leaf extract.</p>
Full article ">Figure 3
<p>Effect of <span class="html-italic">Bignonia potosina</span> and <span class="html-italic">Thouinia paucidentata</span> extracts on CBRAB UIMY-ABA-205 after treatment with H<sub>2</sub>O<sub>2</sub>. Values ± SD with the same letter showed non-significant differences in the post hoc Tukey test (<span class="html-italic">p</span> &lt; 0.05). From <span class="html-italic">B. potosina</span>: BPLi: <span class="html-italic">n</span>-Hex liana extract; BPF: <span class="html-italic">n</span>-Hex flower extract; BPL: <span class="html-italic">n</span>-Hex leaf extract. From <span class="html-italic">T. paucidentata</span> TPB: <span class="html-italic">n</span>-Hex bark extract; TPL: <span class="html-italic">n</span>-Hex leaf extract; AZT: azithromycin.</p>
Full article ">Figure 4
<p>Effect of <span class="html-italic">Bignonia potosina</span> and <span class="html-italic">Thouinia paucidentata</span> extracts on the production of pyocyanin of CBRPA PAE-ATCC-35032. Values ± SD with the same letter showed non-significant differences in the post hoc Tukey test (<span class="html-italic">p</span> &lt; 0.05). From <span class="html-italic">B. potosina</span>: BPLi: <span class="html-italic">n</span>-Hex liana extract; BPF: <span class="html-italic">n</span>-Hex flower extract; BPL: <span class="html-italic">n</span>-Hex leaf extract. From <span class="html-italic">T. paucidentata</span> TPB: <span class="html-italic">n</span>-Hex bark extract; TPL: <span class="html-italic">n</span>-Hex leaf extract; AZT: azithromycin.</p>
Full article ">Figure 5
<p>(<b>a</b>) Scores and loading plots from the PLS-DA model for activity on bacterial growth. MIC values of <span class="html-italic">n</span>-Hex extracts from <span class="html-italic">Bignonia potosina</span> and <span class="html-italic">Thouinia paucidentata</span> against CBRAB and CBRPA strains according to this categorical classification: 1000 µg/mL: low activity; 500–250 µg/mL: moderate activity; 125–62.5 µg/mL: high activity; &lt;62.5 µg/mL: very high activity. (<b>b</b>) Scores and loadings plot from the PLS-DA model for antibiotic-modulation activity according to this categorical classification: 2–4 of AMF: low activity; 8–16 of FMA: moderate activity; &gt;128 of FMA very high activity. (<b>c</b>) Scores and loadings plot from PLS-DA model for antivirulence activity according to this categorical classification: % inhibition &gt; 50%: active. Phytoconstituents in green are associated with anti-infective properties. BPLi: <span class="html-italic">n</span>-Hex liana extract of <span class="html-italic">B. potosina</span>; BPF: <span class="html-italic">n</span>-Hex flower extract <b>B. potosina</b>; BPL: <span class="html-italic">n</span>-Hex leaf extract <span class="html-italic">B. potosina</span>; TPB: <span class="html-italic">n</span>-Hex bark extract of <span class="html-italic">T. paucidentata</span>; TPL: <span class="html-italic">n</span>-Hex leaf extract of <span class="html-italic">T. paucidentata</span>.</p>
Full article ">
18 pages, 13047 KiB  
Article
Utilizing Headspace–Gas Chromatography–Ion Mobility Spectroscopy Technology to Establish the Volatile Chemical Component Fingerprint Profiles of Schisandra chinensis Processed by Different Preparation Methods and to Perform Differential Analysis of Their Components
by Yiping Yan, Bowei Sun, Mengqi Wang, Yanli Wang, Yiming Yang, Baoxiang Zhang, Yining Sun, Pengqiang Yuan, Jinli Wen, Yanli He, Weiyu Cao, Wenpeng Lu and Peilei Xu
Molecules 2024, 29(24), 5883; https://doi.org/10.3390/molecules29245883 - 13 Dec 2024
Viewed by 347
Abstract
In order to characterize the volatile chemical components of Schisandra chinensis processed by different Traditional Chinese Medicine Processing methods and establish fingerprint profiles, headspace–gas chromatography–ion mobility spectrometry (HS-GC-IMS) technology was employed to detect, identify, and analyze Schisandra chinensis processed by five different methods. [...] Read more.
In order to characterize the volatile chemical components of Schisandra chinensis processed by different Traditional Chinese Medicine Processing methods and establish fingerprint profiles, headspace–gas chromatography–ion mobility spectrometry (HS-GC-IMS) technology was employed to detect, identify, and analyze Schisandra chinensis processed by five different methods. Fingerprint profiles of volatile chemical components of Schisandra chinensis processed by different methods were established; a total of 85 different volatile organic compounds (VOCs) were detected in the experiment, including esters, alcohols, ketones, aldehydes, terpenes, olefinic compounds, nitrogen compounds, lactones, pyrazines, sulfur compounds, thiophenes, acid, and thiazoles. Principal component analysis (PCA), Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA), and Pearson correlation analysis methods were used to cluster and analyze the detected chemical substances and their contents. The analysis results showed significant differences in the volatile chemical components of Schisandra chinensis processed by different methods; the Variable Importance in Projection (VIP) values of the OPLS-DA model and the P values obtained from one-way ANOVA were used to score and screen the detected volatile chemical substances, resulting in the identification of five significant chemical substances with the highest VIP values: Alpha-Farnesene, Methyl acetate,1-octene, Ethyl butanoate, and citral. These substances will serve as marker compounds for the identification of Schisandra chinensis processed by different methods in the future. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Ion mobility spectra of <span class="html-italic">Schisandra chinensis</span> processed by different methods (PAO01–03 for steam processing, PAO11–13 for wine processing, PAO21–23 for vinegar processing, PAO31–33 for honey processing, and PAO41–43 for salt processing; same for the figures below).</p>
Full article ">Figure 2
<p>Differential spectra of <span class="html-italic">Schisandra chinensis</span> processed by different methods compared to steam processing (red indicates increased substances; blue indicates decreased substances).</p>
Full article ">Figure 2 Cont.
<p>Differential spectra of <span class="html-italic">Schisandra chinensis</span> processed by different methods compared to steam processing (red indicates increased substances; blue indicates decreased substances).</p>
Full article ">Figure 3
<p>Fingerprint profiles of volatile chemical substances of <span class="html-italic">Schisandra chinensis</span> processed by different methods (red and white dots in the fingerprint map represent the peaks of chemical substances detected in the spectrum. Each row of the spectrum represents a different treatment and its replicates, and each column represents a different chemical substance).</p>
Full article ">Figure 4
<p>Differences in peak volumes of <span class="html-italic">Schisandra chinensis</span> processed by different methods (summed by chemical substance categories). The vertical axis represents the total peak volume, and the horizontal axis represents different categories of chemical substances. The table below provides detailed explanations of the peak volume values represented in the figure.</p>
Full article ">Figure 5
<p>PCA (principal component analysis) of <span class="html-italic">Schisandra chinensis</span> processed by different methods (PC1 = 0.287, PC2 = 0.198; the PAO2 group is clearly distinguished from the other groups).</p>
Full article ">Figure 6
<p>OPLS-DA of <span class="html-italic">Schisandra chinensis</span> processed by different methods (R<sup>2</sup>X1 = 0.276, R<sup>2</sup>X2 = 0.141; different groups are clustered separately and are well distinguished).</p>
Full article ">Figure 7
<p>Analysis of 200 permutations.</p>
Full article ">Figure 8
<p><span class="html-italic">VIP</span> value analysis (the red sections represent chemical substances with <span class="html-italic">VIP</span> &gt; 1, the green sections represent chemical substances with <span class="html-italic">VIP</span> &lt; 1).</p>
Full article ">Figure 9
<p>Heatmap clustering of the amounts of different types of volatile chemical substances and different processing methods. (The closer the color of the block is to pink, the higher the Z-score; the closer to olive, the lower the Z-score; and the closer to white, the closer to 0.)</p>
Full article ">Figure 10
<p>Heatmap clustering of the amounts of different volatile chemical substances and different processing methods. (The closer the color of the block is to pink, the higher the Z-score; the closer to olive, the lower the Z-score; and the closer to white, the closer to 0.)</p>
Full article ">Figure 11
<p>Experimental research diagram.</p>
Full article ">
Back to TopTop