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20 pages, 4600 KiB  
Article
Clinical Trial to Evaluate the Effect of Grape Seed Extract-Loaded Hyalurosomes on Skin Wellness
by Rita Abi Rached, Maya Habre, Yara Salem, Joe Khodeir, Mohamad Allaw, Ines Castangia, Hiba N. Rajha, Luciana Habre, Joelle Feghali, Joe A. Touma, Maria Letizia Manca, Nicolas Louka, Maria Manconi and Richard G. Maroun
Cosmetics 2025, 12(2), 38; https://doi.org/10.3390/cosmetics12020038 - 27 Feb 2025
Viewed by 718
Abstract
Grape seeds are a rich source of bioactive compounds, especially polyphenols, which are known for their antioxidant and anti-aging properties. The aim of this study was to extract phytochemicals from the Lebanese grape variety “Obeidi” and incorporate them into liposomes and hyalurosomes in [...] Read more.
Grape seeds are a rich source of bioactive compounds, especially polyphenols, which are known for their antioxidant and anti-aging properties. The aim of this study was to extract phytochemicals from the Lebanese grape variety “Obeidi” and incorporate them into liposomes and hyalurosomes in order to select the most effective formulation for improving skin properties and protecting against oxidative damage. Grape seeds were extracted by a sustainable ethanol-water method, yielding a total phenolic content (TPC) of 376 ± 16 mg/g (gallic acid equivalents) and an antioxidant activity of 0.58 ± 0.04 µg/mL (trolox equivalents). HPLC analysis identified catechins (4.51 mg/g), gallic acid (3.2 mg/g) and epicatechins (0.88 mg/g) as the dominant phenolics. The extract was encapsulated in liposomes and hyalurosomes with a mean diameter of 148–159 nm, polydispersity index < 0.3, and zeta potentials of −47 to −44 mV, and remained stable for three months at 4 °C. In vitro studies showed that hyalurosomes significantly increased keratinocyte viability by up to 144% and provided better protection against oxidative stress compared to liposomes. A 12-week clinical study involving 40 volunteers was conducted to evaluate the efficacy of extract-loaded hyalurosomes as an “anti-aging serum” by assessing various skin parameters. This treatment resulted in improved skin hydration, a reduction in wrinkle depth, and a slight decrease in melanin and erythema levels as demonstrated by imaging. These results are promising for cosmeceutical applications using grape seed extract loaded in hyalurosomes. Full article
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Figure 1
<p>Schematic representation of the extraction, concentration and spray-drying processes applied to obtain the solid extract.</p>
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<p>(<b>a</b>) Instrumental measurement: Courage Khazaka’s Corneometer, Tewameter, Mexameter, Sebometer; and (<b>b</b>) ARAMO instrument for pictures documentation.</p>
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<p>Flow diagram of the clinical trial study.</p>
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<p>(<b>a</b>) The identification and quantification of the phenolic compounds in the extract (HPLC-DAD technique), and (<b>b</b>) Evaluation of the extract’s total phenolic content (TPC) and the antioxidant activity (evaluated by means of DPPH, FRAP, and CUPRAC colorimetric assays). Different letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>(<b>a</b>) Mean diameter, polydispersity index, zeta potential, entrapment efficiency and antioxidant activity of extract-loaded liposomes and hyalurosomes freshly prepared. (<b>b</b>) Mean diameter, polydispersity index, zeta potential, entrapment efficiency and antioxidant activity of extract-loaded liposomes and hyalurosomes after 3 months of storage at 4 °C. Mean values ± standard deviations are reported (n = 3).</p>
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<p>Viability of keratinicytes cells incubated for 48 h with extract-loaded in liposomes (<b>a</b>) and hyalurosomes (<b>b</b>); and stressed with hydrogen peroxide and treated with extract-loaded in liposomes (<b>c</b>) and hyalurosomes (<b>d</b>). Data are reported as mean values ± standard deviations. All symbols indicate values statistically different (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The change score analysis compares melanin levels between formulation 1 (treatment) and formulation 2 (placebo).</p>
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<p>Representation of difference of melanin (patient number 18, the (<b>a</b>)) and erythema levels (patient number 22, (<b>b</b>)), as well as lateral canthal wrinkles (patient number 9, (<b>c</b>)) before and after treatment.</p>
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<p>The change score analysis for erythema between formulation 1 (treatment) and formulation 2 (placebo).</p>
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<p>The change score analysis compares hydration levels between formulation 1 (treatment) and formulation 2 (placebo).</p>
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<p>The change score analysis for sebum levels between formulation 1 (treatment) and formulation 2 (placebo).</p>
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<p>The change score analysis for trans-epidermal water loss (TEWL) between formulation 1 (treatment) and formulation 2 (placebo).</p>
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<p>Representation of the mean between the 2 groups for each assessment. Symbol indicates values statistically different (<span class="html-italic">p</span> &lt; 0.05).</p>
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24 pages, 734 KiB  
Article
Economic Peaks and Value-at-Risk Analysis: A Novel Approach Using the Laplace Distribution for House Prices
by Jondeep Das, Partha Jyoti Hazarika, Morad Alizadeh, Javier E. Contreras-Reyes, Hebatallah H. Mohammad and Haitham M. Yousof
Math. Comput. Appl. 2025, 30(1), 4; https://doi.org/10.3390/mca30010004 - 7 Jan 2025
Viewed by 419
Abstract
In this article, a new extension of the standard Laplace distribution is introduced for house price modeling. Certain important properties of the new distribution are deducted throughout this study. We used the new extension of the Laplace model to conduct a thorough economic [...] Read more.
In this article, a new extension of the standard Laplace distribution is introduced for house price modeling. Certain important properties of the new distribution are deducted throughout this study. We used the new extension of the Laplace model to conduct a thorough economic risk assessment utilizing several metrics, including the value-at-risk (VaR), the peaks over a random threshold value-at-risk (PORT-VaR), the tail value-at-risk (TVaR), the mean of order-P (MOP), and the peaks over a random threshold based on the mean of order-P (PORT-MOP). These metrics capture different facets of the tail behavior, which is essential for comprehending the extreme median values in the Boston house price data. Notably, PORT-VaR improves the risk evaluations by incorporating randomness into the selection of the thresholds, whereas VaR and TVaR focus on measuring the potential losses at specific confidence levels, with TVaR offering insights into significant tail risks. The MOP method aids in balancing the reliability goals while optimizing the performance in the face of uncertainty. Full article
(This article belongs to the Section Social Sciences)
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Figure 1
<p>Probability density function (PDF) of NOLLSLa<math display="inline"><semantics> <mrow> <mo>(</mo> <mi>a</mi> <mo>,</mo> <mi>b</mi> <mo>)</mo> </mrow> </semantics></math> for several <span class="html-italic">a</span> and <span class="html-italic">b</span> parameters. (<b>a</b>) PDF with large <span class="html-italic">a</span> and small <span class="html-italic">b</span> values to produce a right tail. (<b>b</b>) PDF with small <span class="html-italic">a</span> and large <span class="html-italic">b</span> values to produce a left tail. (<b>c</b>) PDF with small <span class="html-italic">a</span> and <span class="html-italic">b</span> values to concentrate the probability mass around 0. (<b>d</b>) Moderate values of <span class="html-italic">a</span> and <span class="html-italic">b</span> to concentrate the probability mass between 0 and 1.</p>
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<p>Probability density function (PDF) of NOLLSLa<math display="inline"><semantics> <mrow> <mo>(</mo> <mi>a</mi> <mo>,</mo> <mi>b</mi> <mo>)</mo> </mrow> </semantics></math> for several <span class="html-italic">a</span> and <span class="html-italic">b</span> parameters. (<b>a</b>) PDF with large <span class="html-italic">a</span> and small <span class="html-italic">b</span> values to produce a right tail. (<b>b</b>) PDF with small <span class="html-italic">a</span> and large <span class="html-italic">b</span> values to produce a left tail. (<b>c</b>) PDF with small <span class="html-italic">a</span> and <span class="html-italic">b</span> values to concentrate the probability mass around 0. (<b>d</b>) Moderate values of <span class="html-italic">a</span> and <span class="html-italic">b</span> to concentrate the probability mass between 0 and 1.</p>
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<p>Cumulative Density Function (CDF) of NOLLSLa<math display="inline"><semantics> <mrow> <mo>(</mo> <mi>a</mi> <mo>,</mo> <mi>b</mi> <mo>)</mo> </mrow> </semantics></math> for several <span class="html-italic">a</span> and <span class="html-italic">b</span> parameters related to PDF of <a href="#mca-30-00004-f001" class="html-fig">Figure 1</a>. (<b>a</b>) CDF in the positive support with large <span class="html-italic">a</span> and small <span class="html-italic">b</span>. (<b>b</b>) CDF in the negative support with small <span class="html-italic">a</span> and large <span class="html-italic">b</span> to produce a left tail. (<b>c</b>) CDF concentrated between <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </semantics></math> and 1 with small <span class="html-italic">a</span> and <span class="html-italic">b</span> values. (<b>d</b>) Moderate values of <span class="html-italic">a</span> and <span class="html-italic">b</span> to concentrate the CDF between <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>2</mn> </mrow> </semantics></math> and 2.</p>
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<p>Plots of observed and expected densities of the Boston (medv) dataset.</p>
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<p>The histogram plot, box plot, MOP values <math display="inline"><semantics> <mrow> <mi>P</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mo>…</mo> <mo>,</mo> <mn>15</mn> </mrow> </semantics></math>, and bias versus MSE plot for the the median values in Boston house price data.</p>
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<p>PORT-VaR analysis of the median values in the Boston house price data.</p>
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<p>Density plot of peaks above the median values in the Boston house price data.</p>
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<p>Violin plots for the PORT analysis of the median values in the Boston house price data.</p>
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<p>VaR, TVaR, PORT-MO<sup><span class="html-italic">P</span></sup>, and NPORT plots for the median values in the Boston house price data.</p>
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16 pages, 4457 KiB  
Article
Integration of Coagulation–flocculation(with Natural Coagulant) to Constructed Wetlands for Color Removal from Tequila Vinasses
by Florentina Zurita, Allan Tejeda, Anderson Ramirez-Ramirez and Arturo Montoya
Water 2024, 16(21), 3151; https://doi.org/10.3390/w16213151 - 4 Nov 2024
Viewed by 1091
Abstract
The aim of this study was to evaluate a natural coagulant, Moringa oleifera seeds (MOC), to reduce the color concentration in treated tequila vinasses (TVs). TV-A was the effluent of horizontal subsurface flow wetlands (HSSFW); TV-B was the effluent of vertical up-flow wetlands [...] Read more.
The aim of this study was to evaluate a natural coagulant, Moringa oleifera seeds (MOC), to reduce the color concentration in treated tequila vinasses (TVs). TV-A was the effluent of horizontal subsurface flow wetlands (HSSFW); TV-B was the effluent of vertical up-flow wetlands (VUFW); and TV-C was the effluent of vertical down-flow constructed wetlands (VDFW). Raw TVs were also evaluated with MOC. Jar tests were performed to find the optimal dose and pH value for apparent color (AC) removal. With the optimal dose and pH for each type of TV, tests were performed in triplicate to evaluate the removal of apparent color (AC), true color (TC), turbidity, total suspended solids (TSS), chemical oxygen demand (COD), and electrical conductivity (EC). For TV-A and TV-B, the optimal values were 1 g/L of MOC and pH 8, and the removals were 52%, 43%, 50% and 72% of AC, turbidity, TC, and TSS, respectively. For TV-C, the optimal values were 2.5 g/L and pH 5, with removals of 66%, 73%, and 98% for AC, TC, and TSS, respectively. For TV-D, the MOC had no coagulant effect in any of the experimental conditions evaluated, probably due to the high concentration of turbidity and TSS in the raw vinasses, which prevented the interaction between MOC and melanoidins. Deeper studies are required to understand and evaluate those factors that influence MOC efficiency so that the coagulation–flocculation process can be optimized. Full article
(This article belongs to the Special Issue Control and Treatment of Emerging Contaminants in Water Ecosystems)
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<p>FT-IR spectrum of <span class="html-italic">Moringa oleifera</span> Coagulant.</p>
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<p>X-ray diffractogram of <span class="html-italic">Moringa Oleifera</span> Coagulant.</p>
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<p>Apparent color removal percentage at different MOC doses at pH 7.</p>
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<p>Apparent color removal percentage at 0.8 g/L and 1 g/L of Moringa Oleifera Coagulant.</p>
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<p>Color reduction in the mixture of TV-A and TV-B at a dose of 1 g/L of MOC and pH (<b>a</b>) 7, (<b>b</b>) 8, (<b>c</b>) 9, and (<b>d</b>) tequila vinasses without MOC (control).</p>
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<p>Percentages of apparent color removal at different pH values with a dose of 1 g/L.</p>
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<p>Removal percentage of apparent color, turbidity, true color and total suspended solid using 1 g/L of MOC at pH 8 in tests with TV-A and TV-B.</p>
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<p>Removal percentage of apparent color in TV-C using 1 g/L of MOC at different values of pH.</p>
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<p>Removal percentage of apparent color using 1 g/L of MOC at different pH.</p>
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<p>Removal percentage of apparent color, turbidity, true color and total suspended solid using 2.5 g/L of MOC and pH 5, in TV-C.</p>
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<p>Increase in (<b>a</b>) apparent color and (<b>b</b>) turbidity concentrations when performing coagulation–flocculation tests with raw vinasses at pH 4.5 and different MOC doses.</p>
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<p>Behavior of (<b>a</b>) apparent color and (<b>b</b>) turbidity concentrations when performing coagulation–flocculation tests with raw vinasses using 2 g/L of MOC at different pH values.</p>
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21 pages, 1296 KiB  
Article
Fat Profiles of Milk and Butter Obtained from Different Dairy Systems (High and Low Pasture) and Seasons (Spring and Fall): Focus on Healthy Fatty Acids and Technological Properties of Butter
by Lucía Grille, Ignacio Vieitez, Andrea Garay, Melissa Romero, Santiago Jorcín, Esteban Krall, Maria Noel Méndez, Bruno Irigaray, Edinson Bejarano and Tomás López-Pedemonte
Dairy 2024, 5(3), 555-575; https://doi.org/10.3390/dairy5030042 - 13 Sep 2024
Cited by 2 | Viewed by 1567
Abstract
This study aimed to evaluate the fatty acid (FA) profile in milk from commercial farms with varying pasture levels in the diet during spring and fall, and to investigate the physical and chemical properties of butter to assess the impact of FAs on [...] Read more.
This study aimed to evaluate the fatty acid (FA) profile in milk from commercial farms with varying pasture levels in the diet during spring and fall, and to investigate the physical and chemical properties of butter to assess the impact of FAs on technological and nutritional properties. Milk sampling was conducted biweekly from six farms, categorized into high (HP) and low (LP) pasture treatments based on pasture intake: >60% and <35%, respectively. Butter was made from a pasture-based system (GRZ) and a confined system (C). No differences were observed in milk fat percentage between HP and LP in either season. High pasture had 85–66% more conjugated linoleic acid (CLA, p = 0.01), 74–48% more trans-vaccenic acid (TVA, p = 0.01), and 21–15% more branched-chain FAs (BCFAs, p = 0.006) than LP in spring and fall, respectively. In fall, butter from C had lower saturated FAs (SFAs, p = 0.005), higher unsaturated FAs (UFA, p = 0.008), and a lower spreadability index (SI, p = 0.005) than GRZ, resulting in softer butter. In conclusion, HP in both seasons had higher contents of FAs considered healthy for consumers compared to LP. Contrary to expectations, in fall, C showed higher UFAs and lower SFAs in butter, leading to better technological characteristics than GRZ. Full article
(This article belongs to the Section Milk Processing)
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<p>Butter firmness elaborated from GRZ: pasture-based system (grazing + supplement); C: confined (total mixed ration, TMR). Difference between farms (GRZ and C) in spring and fall are shown with small letter and capital letter, respectively (<span class="html-italic">p</span> &lt; 0.05). N: Newton.</p>
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<p>Thermograms of anhydrous milk fat from the prepared butter from GRZ: pasture-based system (grazing + supplement); C: confined (total mixed ration, TMR), in spring and fall. Soft grey bars indicate triglyceride groups with the lower melting point (peak 1) or the higher melting point (peak 2) for the four anhydrous milk fat samples.</p>
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<p>(<b>A</b>) Percentage of solids in anhydrous milk fat from butter produced under GRZ: pasture-based system (grazing + supplement) and C: confined (total mixed ration, TMR) in spring and fall. (<b>B</b>): Percentage of solids in anhydrous milk fat: magnification in the range between 8 and 13 °C, with an arrow indicating the temperature at which firmness was determined (10 °C).</p>
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21 pages, 1245 KiB  
Article
The Role of Comparative Advantage in Enhancing Trade in Value-Added Using a Dynamic GMM Model
by Josephine Wuri
Economies 2024, 12(7), 187; https://doi.org/10.3390/economies12070187 - 18 Jul 2024
Cited by 2 | Viewed by 2550
Abstract
Currently, international trade has evolved into international production fragmentation captured in GVCs. Countries must enhance intermediate exports in comparative advantage sectors to increase their trade in value-added (TVA) in global production chains. However, traditional measurements of revealed comparative advantage (RCA) based on gross [...] Read more.
Currently, international trade has evolved into international production fragmentation captured in GVCs. Countries must enhance intermediate exports in comparative advantage sectors to increase their trade in value-added (TVA) in global production chains. However, traditional measurements of revealed comparative advantage (RCA) based on gross exports need to be updated due to overvaluation, double counting, and implicit distortions in international trade. This study uses a new comparative advantage measure, “new revealed symmetric comparative advantage” (NRSCA). Using a dynamic General Method of Moment (GMM) approach, we investigate the role of comparative advantage in driving TVA regarding backward and forward linkages and examine the impact of the COVID-19 pandemic. We use data from the current Asian Development Bank multi-regional input–output database for 2010–2020. Our findings reveal that comparative advantage significantly impacted international TVA, along with the support of quality institutional services in each country. Implementing a new comparative advantage measure, NRSCA, provided accurate estimation results to overcome the overvaluation problem. Moreover, the COVID-19 pandemic disrupted value-added trade. Full article
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<p>Backward and forward linkage in value-added trade, 2010–2020. Source: ADB MRIO, Authors’ computations.</p>
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<p>Trends in new revealed symmetric comparative advantage of broad sectors in ASEAN, 2010–2020. Source: ADB MRIO, Authors’ computations.</p>
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<p>New revealed symmetric comparative advantage of broad sectors in East Asia, 2010–2020. Source: ADB MRIO, Authors’ computations.</p>
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<p>New revealed symmetric comparative advantage of broad sectors in European countries, 2010–2020. Source: ADB MRIO, Authors’ computations.</p>
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<p>New revealed symmetric comparative advantage of broad sectors in North America, 2010–2020. Source: ADB MRIO, Authors’ computations.</p>
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20 pages, 4812 KiB  
Article
Autonomous Underwater Vehicle Trajectory Prediction with the Nonlinear Kepler Optimization Algorithm–Bidirectional Long Short-Term Memory–Time-Variable Attention Model
by Jieen Yao, Junzheng Yang, Chenghao Zhang, Jing Zhang and Tianchi Zhang
J. Mar. Sci. Eng. 2024, 12(7), 1115; https://doi.org/10.3390/jmse12071115 - 2 Jul 2024
Cited by 3 | Viewed by 1079
Abstract
Autonomous underwater vehicles (AUVs) have been widely used in ocean missions. When they fail in the ocean, it is important to predict their trajectory. Existing methods rely heavily on historical trajectory data while overlooking the influence of the ocean environment on an AUV’s [...] Read more.
Autonomous underwater vehicles (AUVs) have been widely used in ocean missions. When they fail in the ocean, it is important to predict their trajectory. Existing methods rely heavily on historical trajectory data while overlooking the influence of the ocean environment on an AUV’s trajectory. At the same time, these methods fail to use the dependency between variables in the trajectory. To address these challenges, this paper proposes an AUV trajectory prediction model known as the nonlinear Kepler optimization algorithm–bidirectional long short-term memory–time-variable attention (NKOA-BiLSTM-TVA) model. This paper introduces opposition-based learning during the initialization process of the KOA and improves the algorithm by incorporating a nonlinear factor into the planet position update process. We designed an attention mechanism layer that spans both time and variable dimensions, called TVA. TVA can extract features from both the time and variable dimensions of the trajectory and use the dependency between trajectory variables to predict the trajectory. First, the model uses a convolutional neural network (CNN) to extract spatial features from the trajectory. Next, it combines a BiLSTM network with TVA to predict the AUV’s trajectory. Finally, the improved NKOA is used to optimize the model’s hyperparameters. Experimental results show that the NKOA-BiLSTM-TVA model has an excellent parameter optimization effect and higher prediction accuracy in AUV trajectory prediction tasks. It also achieves excellent results in ship trajectory prediction. Full article
(This article belongs to the Section Ocean Engineering)
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<p>Two states of exploration and exploitation.</p>
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<p>LSTM model structure diagram.</p>
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<p>BiLSTM network structure.</p>
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<p>(<b>left</b>) Multi-head attention mechanism structure; (<b>right</b>) self-attention mechanism structure.</p>
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<p>Time-variable attention layer structure. (<b>left</b>) Time dimension attention. (<b>right</b>) Variable dimension attention.</p>
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<p>The structure of the BiLSTM-TVA model.</p>
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<p>NKOA process.</p>
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<p>NKOA-BiLSTM-TVA optimal parameters: (<b>a</b>) optimization result for the learning rate; (<b>b</b>) optimization result for the batch size; (<b>c</b>) optimization result for the epochs; (<b>d</b>) number of nodes in the first hidden layer; (<b>e</b>) number of nodes in the second hidden layer; (<b>f</b>) number of fully connected layers.</p>
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<p>Trajectory predicted by the NKOA-BiLSTM-TVA model for longitude and latitude.</p>
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<p>Trajectory predicted by the five models for longitude.</p>
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<p>Trajectory predicted by the five models for latitude.</p>
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<p>The predicted trajectories of the five models for the AUV’s altitude: (<b>a</b>) Trajectory predicted by the BiLSTM model for the altitude; (<b>b</b>) Trajectory predicted by the DCNN-LSTM model for the altitude; (<b>c</b>) Trajectory predicted by the CNN-BiLSTM-Attention model for the altitude; (<b>d</b>) Trajectory predicted by the TPA-BiLSTM model for the altitude; (<b>e</b>) Trajectory predicted by the NKOA-BiLSTM-TVA model for the altitude.</p>
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<p>The predicted trajectories of the five models for the AUV’s pitch angle: (<b>a</b>) Trajectory predicted by the BiLSTM model for the pitch angle; (<b>b</b>) Trajectory predicted by the DCNN-LSTM model for the pitch angle; (<b>c</b>) Trajectory predicted by the CNN-BiLSTM-Attention model for the pitch angle; (<b>d</b>) Trajectory predicted by the TPA-BiLSTM model for the pitch angle; (<b>e</b>) Trajectory predicted by the NKOA-BiLSTM-TVA model for the pitch angle.</p>
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<p>The predicted trajectories of the five models for the AUV’s roll angle: (<b>a</b>) Trajectory predicted by the BiLSTM model for the roll angle; (<b>b</b>) Trajectory predicted by the DCNN-LSTM model for the roll angle; (<b>c</b>) Trajectory predicted by the CNN-BiLSTM-Attention model for the roll angle; (<b>d</b>) Trajectory predicted by the TPA-BiLSTM model for the roll angle; (<b>e</b>) Trajectory predicted by the NKOA-BiLSTM-TVA model for the roll angle.</p>
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<p>The NKOA-BiLSTM-TVA model’s prediction of the AUV’s 3D trajectory on the test set.</p>
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18 pages, 2864 KiB  
Article
Bioproduction of 2-Phenylethanol by Yarrowia lipolytica on Sugar Beet Molasses as a Low-Cost Substrate
by Sara Mitri, Nicolas Louka, Tristan Rossignol, Richard G. Maroun and Mohamed Koubaa
Fermentation 2024, 10(6), 290; https://doi.org/10.3390/fermentation10060290 - 30 May 2024
Cited by 4 | Viewed by 1465
Abstract
2-phenylethanol (2-PE) is a valuable aromatic alcohol with diverse applications in cosmetics, food, beverages, and pharmaceutical industries. Currently, 2-PE is produced either through chemical synthesis or by extraction from plant materials. However, both conventional production methods have their own limitations. Therefore, there is [...] Read more.
2-phenylethanol (2-PE) is a valuable aromatic alcohol with diverse applications in cosmetics, food, beverages, and pharmaceutical industries. Currently, 2-PE is produced either through chemical synthesis or by extraction from plant materials. However, both conventional production methods have their own limitations. Therefore, there is a need for more eco-friendly and cost-effective approaches to produce natural 2-PE. Biotechnological routes, particularly microbial fermentations, hold promise for natural 2-PE production, especially when using low-cost substrates. In this study, 2-PE was produced by de novo synthesis via the shikimate pathway, using the yeast Yarrowia lipolytica in a medium composed of sugar beet molasses (SBM) and yeast extract (YE) as carbon and nitrogen sources, respectively. A genetically engineered strain was generated, in which the SUC2 gene was transformed, expressing the invertase enzyme, enabling Y. lipolytica to efficiently utilize SBM as a cost-effective substrate. A central composite design allowed for the optimization of the concentrations of the carbon and nitrogen sources, resulting in approximately 0.71 g(2-PE)/L(culture medium). The results obtained highlight the potential of utilizing SBM as a low-cost substrate for 2-PE production, advancing biotechnological approaches in fragrance synthesis. Full article
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<p>Summary of JMY9398 strain construction.</p>
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<p>Growth curves in 96-well plates of multiple <span class="html-italic">Y. lipolytica</span> strains in a minimal media supplemented with 1% sucrose and 0.01% uracil.</p>
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<p>The profile of the JMY9398 strain growth and of 2-PE production as a function of time in media composed of varying concentrations of SBM supplemented with different YE concentrations. (<b>a</b>,<b>b</b>) Yeast growth over time using cell density (OD<sub>600</sub>); (<b>c</b>,<b>d</b>) 2-PE production over time in the different media formulations; (<b>e</b>,<b>f</b>) maximal production of 2-PE in each medium. Error bars represent the standard deviation of biological replicates for each condition. Different uppercase letters indicate significant differences between the 2-PE titers in the different culture media (<span class="html-italic">p</span> &lt; 0.05). SBM: sugar beet molasses; YE: yeast extract; 2-PE: 2-phenylethanol.</p>
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<p>Cell growth and 2-PE production in the culture conditions of the experimental design. (<b>a</b>) Yeast growth over time using cell density (OD<sub>600</sub>); (<b>b</b>) 2-PE Production in the different media formulations. Error bars represent the standard deviation of biological replicates for each condition. Different uppercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05). SBM: sugar beet molasses; YE: yeast extract; 2-PE: 2-phenylethanol.</p>
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<p>(<b>a</b>) Pareto chart for 2-PE production, where the insert shows the evolution of 2-PE as a function of the following: SBM (YE = 4 g/L), YE (SBM = 30 g/L), and SBM (YE = 3 or 5 g/L); (<b>b</b>) predicted response surface for 2-PE as a function of SBM concentration and YE concentration; (<b>c</b>) contour plot of the estimated response surface for 2-PE. SBM: sugar beet molasses; YE: yeast extract; 2PE: 2-phenylethanol.</p>
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<p>2-PE production (g<sub>2-PE</sub>/L<sub>culture medium</sub>) under the optimal media composition, using the JMY8032 and JMY9398 strains. Error bars represent the standard deviation of biological replicates for each condition.</p>
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<p>Substrate consumption during the fermentation of JMY9398 in 44.14 g/L sucrose in SBM and 3.2 g/L YE. Error bars represent the standard deviation of biological replicates for each condition.</p>
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30 pages, 15348 KiB  
Article
Comparison of Floating Offshore Wind Turbine Tower Deflection Mitigation Methods Using Nonlinear Optimal-Based Reduced-Stroke Tuned Vibration Absorber
by Paweł Martynowicz, Georgios M. Katsaounis and Spyridon A. Mavrakos
Energies 2024, 17(6), 1507; https://doi.org/10.3390/en17061507 - 21 Mar 2024
Cited by 1 | Viewed by 1663
Abstract
Tower fatigue and strength are crucial operational concerns of floating offshore wind turbines (FOWTs) due to the escalation of the vibration phenomena observed on these structures as compared to land-based ones. FOWT towers are excited by wave and wind polyperiodic disturbances yielding continual [...] Read more.
Tower fatigue and strength are crucial operational concerns of floating offshore wind turbines (FOWTs) due to the escalation of the vibration phenomena observed on these structures as compared to land-based ones. FOWT towers are excited by wave and wind polyperiodic disturbances yielding continual transient states of structural vibration that are challenging for vibration mitigation systems. Thus, the paper investigates a novel implementation of nonlinear optimal-based vibration control solutions for the full-scale, tension leg platform (TLP)-based, NREL 5MW wind turbine tower-nacelle model with a 10-ton tuned vibration absorber (TVA), equipped with a magnetorheological (MR) damper, located at the nacelle. The structure is subjected to excessive wave and wind excitations, considering floating platform motions derived from model experiments in a wave tank. The MR damper operates simultaneously with an electromagnetic force actuator (forming a hybrid TVA) or independently (a semiactive TVA). The study includes both actuators’ nonlinearities and dynamics, whereby the former are embedded in the Hamilton-principle-based nonlinear control solutions. The TVA is tuned either to the NREL 5MW tower-nacelle 1st bending mode frequency (TVA-TN) or to the TLP surge frequency (TVA-TLP). The optimal control task was redeveloped concerning the TVA stroke and transient vibration minimisation, including the implementation of the protected structure’s acceleration and relative displacement terms, as well as the nonzero velocity term in the quality index. The regarded model is embedded in a MATLAB/Simulink environment. On the basis of the obtained results, the TVA-TN solution is by far superior to the TVA-TLP one. All the regarded TVA-TN solutions provide a tower deflection safety factor of ca. 2, while reference systems without any vibration reduction solutions or with a passive TVA-TLP are at risk of tower structural failure as well as the hybrid TVA-TLP system. The obtained TVA stroke reductions of 25.7%/22.0% coincide with 3.6%/10.3% maximum tower deflection reductions for the semiactive/hybrid TVA-TN case (respectively) with regard to the previously developed approaches. Moreover, these reductions are obtained due to the sole control algorithm enhancement; thus, no additional resources are necessary, while this attainment is accompanied by a reduction in the required MR damper force. The lowest obtained TVA stroke amplitude of 1.66 m is guaranteed by the newly introduced semiactive control. Its hybrid equivalent ensures 8% lower primary structure deflection amplitude and reduced nacelle acceleration levels thanks to the utilisation of the force actuator of the relatively low power (ca. 6 kW); the trade-off is an increased TVA stroke amplitude of 2.19 m, which, however, is the lowest among all the tested hybrid solutions. The analysed reference passive TVA systems, along with a modified ground-hook hybrid solution, can hardly be implemented in the nacelle (especially along the demanding side–side direction). The latter, being the well-proven hybrid solution for steady-state tower deflection minimisation, yielded unsatisfactory results. The achievements of the study may be used for an effective design of a full-scale vibration reduction system for the TLP-based floating wind turbine structure. Full article
(This article belongs to the Special Issue Advances in Wind Turbine Vibration Modelling and Control)
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<p>Diagram of a regarded system with an H-MR-TVA.</p>
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<p>Bode diagram of a regarded simulation model with and without TVA.</p>
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<p>TLP platform dimensions.</p>
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<p>TLP with NREL 5MW model in the experimental facilities.</p>
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<p>Surge motion RAOs for the TLP FOWT.</p>
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<p>Wave spectrum considered.</p>
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<p>RMS of tower tip relative displacement <math display="inline"><semantics> <mrow> <mi>r</mi> <mi>m</mi> <mi>s</mi> <mo>(</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>−</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math>) for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>21</mn> </mrow> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>12</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>19</mn> </mrow> </msup> </mrow> </semantics></math>. Results summary.</p>
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<p>RMS of tower tip relative displacement <math display="inline"><semantics> <mrow> <mi>r</mi> <mi>m</mi> <mi>s</mi> <mo>(</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>−</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math>) for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>21</mn> </mrow> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>12</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>19</mn> </mrow> </msup> </mrow> </semantics></math>. TVA tuned to the NREL 5MW tower-nacelle 1st bending mode.</p>
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<p>Tower tip relative displacement amplitude <math display="inline"><semantics> <mrow> <mi>A</mi> <mo>(</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>−</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math>) for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>21</mn> </mrow> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>12</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>19</mn> </mrow> </msup> </mrow> </semantics></math>. Results summary.</p>
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<p>Tower tip relative displacement amplitude <math display="inline"><semantics> <mrow> <mi>A</mi> <mo>(</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>−</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math>) for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>21</mn> </mrow> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>12</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>19</mn> </mrow> </msup> </mrow> </semantics></math>. TVA tuned to the NREL 5MW tower-nacelle 1st bending mode.</p>
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<p>TVA stroke amplitude <math display="inline"><semantics> <mrow> <mi>A</mi> <mo>(</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>−</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math>) for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>21</mn> </mrow> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>12</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>19</mn> </mrow> </msup> </mrow> </semantics></math>. Results summary.</p>
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<p>TVA stroke amplitude <math display="inline"><semantics> <mrow> <mi>A</mi> <mo>(</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>−</mo> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math>) for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>21</mn> </mrow> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>12</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>19</mn> </mrow> </msup> <mo>.</mo> </mrow> </semantics></math> TVA tuned to the NREL 5MW tower-nacelle 1st bending mode.</p>
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<p>MR damper force amplitude <math display="inline"><semantics> <mrow> <mi>A</mi> <mo>(</mo> <msub> <mrow> <mi>F</mi> </mrow> <mrow> <mi>m</mi> <mi>r</mi> </mrow> </msub> </mrow> </semantics></math>) for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>21</mn> </mrow> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>12</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>19</mn> </mrow> </msup> </mrow> </semantics></math>. Results summary.</p>
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<p>MR damper force amplitude <math display="inline"><semantics> <mrow> <mi>A</mi> <mo>(</mo> <msub> <mrow> <mi>F</mi> </mrow> <mrow> <mi>m</mi> <mi>r</mi> </mrow> </msub> </mrow> </semantics></math>) for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>21</mn> </mrow> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>12</mn> </mrow> </msub> <mo>=</mo> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>19</mn> </mrow> </msup> </mrow> </semantics></math>. TVA tuned to the NREL 5MW tower-nacelle 1st bending mode.</p>
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<p>Mean actuator power <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>P</mi> </mrow> <mrow> <mi>a</mi> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>Time patterns for exemplary <span class="html-italic">Realisation 7</span>: (<b>a</b>) TLP surge <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>x</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math> combined with the nacelle horizontal load <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>F</mi> </mrow> <mrow> <mi>e</mi> </mrow> </msub> </mrow> </semantics></math>, (<b>b</b>) tower tip relative displacement (tower deflection), (<b>c</b>) nacelle acceleration.</p>
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<p>Time responses for MR-TVA tuned to the NREL 5MW tower-nacelle 1st bending mode: (<b>a</b>) <span class="html-italic">Control case I</span>, (<b>b</b>) <span class="html-italic">Control case II</span>, (<b>c</b>) <span class="html-italic">Control case III</span> (<span class="html-italic">Realisation 7</span>).</p>
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<p>Time responses for H-MR-TVA tuned to the NREL 5MW tower-nacelle 1st bending mode: (<b>a</b>) <span class="html-italic">Control case I-H</span>, (<b>b</b>) <span class="html-italic">Control case II-H</span>, (<b>c</b>) <span class="html-italic">Control case III-H</span> (<span class="html-italic">Realisation 7</span>).</p>
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<p>Time responses for H-MR-TVA tuned to the NREL 5MW tower-nacelle 1st bending mode: (<b>a</b>) <span class="html-italic">Control case I-H</span>, (<b>b</b>) <span class="html-italic">Control case II-H</span>, (<b>c</b>) <span class="html-italic">Control case III-H</span> (<span class="html-italic">Realisation 7</span>).</p>
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21 pages, 588 KiB  
Article
Dietary Exposure and Risk Assessment of Multi-Mycotoxins (AFB1, AFM1, OTA, OTB, DON, T-2 and HT-2) in the Lebanese Food Basket Consumed by Adults: Findings from the Updated Lebanese National Consumption Survey through a Total Diet Study Approach
by Maha Hoteit, Zahraa Abbass, Rouaa Daou, Nikolaos Tzenios, Lamis Chmeis, Joyce Haddad, Mohamad Chahine, Elham Al Manasfi, Abdulrahman Chahine, Omasyarifa Binti Jamal Poh and André El Khoury
Toxins 2024, 16(3), 158; https://doi.org/10.3390/toxins16030158 - 19 Mar 2024
Cited by 9 | Viewed by 2901
Abstract
Mycotoxins have been linked to adverse health impacts, including liver cancer and kidney diseases. The objectives of the current study were to evaluate the dietary exposure of Lebanese adults to multi-mycotoxins (aflatoxin B1 (AFB1), aflatoxin M1 (AFM1), ochratoxin A (OTA), ochratoxin B (OTB), [...] Read more.
Mycotoxins have been linked to adverse health impacts, including liver cancer and kidney diseases. The objectives of the current study were to evaluate the dietary exposure of Lebanese adults to multi-mycotoxins (aflatoxin B1 (AFB1), aflatoxin M1 (AFM1), ochratoxin A (OTA), ochratoxin B (OTB), deoxynivalenol (DON), T-2 and HT-2) and to assess their associated health risks. Hence, a nationally representative sample of 449 participants aged 18-64 years old were interviewed to obtain their socio-demographic characteristics, food consumption data and exposure estimates. A food frequency questionnaire and 24 h-recall were used to collect data. The concentration of mycotoxins in all foods consumed by the participants was collected from previous national published studies. The estimated daily intake (EDI), the hazard quotient (HQ) and the margin of exposure (MOE) were calculated. The total exposure to AFB1, AFM1, OTA and DON was 1.26, 0.39, 4.10 and 411.18 ng/kg bw/day, respectively. The MOE to AFB1, AFM1, OTA and DON in the Lebanese food basket was 316, 1454, 3539 and 510, respectively, indicating high health-related risks. Per food items, the MOE to AFB1 was below 10,000 in cereals (466.5), mainly in rice (827.9) and Burgul (4868.5). Similarly, the MOE to OTA in cereals was 1439, in which bread (4022), rice (7589) and bulgur (7628) were considered unsafe. Moreover, the MOE to DON in cereals (605) is alarming, especially in bread (632) and manakesh (6879). The MOE to AFM1 in dairy products was 1454, indicating health-related risks with a focus on yogurt (9788) and labneh (8153). As for the herbs/spices group and traditional dishes, the MOE to AFB1 was relatively lower than 10,000 (3690 and 1625, respectively), with a focus on thyme (2624) and kishik (3297), respectively. It is noteworthy that the MOE to DON and the MOE to OTA in traditional foods and coffee were lower than 10,000 (8047 and 8867, respectively). All hazard quotient (HQ) values were below 1, except the HQ value of milk and dairy products (1.96). The intake of some food groups varied between age categories, corresponding to differences in EDI between them. Thus, it is essential to put control measures in place to decrease the contamination and exposure to mycotoxins by Lebanese consumers. Full article
(This article belongs to the Special Issue Mycotoxins: Risk Assessment, Biomonitoring and Toxicology)
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<p>Flow chart of the recruitment process.</p>
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22 pages, 2919 KiB  
Review
Seeing Colors: A Literature Review on Colorimetric Whole-Cell Biosensors
by Georgio Nemer, Mohamed Koubaa, Laure El Chamy, Richard G. Maroun and Nicolas Louka
Fermentation 2024, 10(2), 79; https://doi.org/10.3390/fermentation10020079 - 25 Jan 2024
Cited by 4 | Viewed by 2671
Abstract
Colorimetric whole-cell biosensors are natural or genetically engineered microorganisms utilized to detect target molecules and ions as indicators of pollutants and biological activity in the environment. Upon detection, within specific concentration ranges which vary depending on the microorganism and its genetic circuitry among [...] Read more.
Colorimetric whole-cell biosensors are natural or genetically engineered microorganisms utilized to detect target molecules and ions as indicators of pollutants and biological activity in the environment. Upon detection, within specific concentration ranges which vary depending on the microorganism and its genetic circuitry among other factors, these sensors produce pigments which can be detected with the human eye past certain thresholds and quantified using simple analytical techniques, namely spectrophotometry. These sensors, which can be rendered portable through lyophilization and other methods, provide valuable and reliable substitutes of more demanding analytical ex situ techniques. The insights gained from this review can highlight technological progress in the field and contribute to the identification of potential opportunities afforded by these advancements. Full article
(This article belongs to the Special Issue Pigment Production in Submerged Fermentation: Second Edition)
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Graphical abstract
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<p>Four-step catabolic pathway of PCBs in <span class="html-italic">Pseudomonas</span> sp. P2. Adapted from Gavlasova et al. [<a href="#B17-fermentation-10-00079" class="html-bibr">17</a>]. (<b>A</b>) biphenyl; (<b>B</b>) 2,3-dihydro-2,3-dihydroxybiphenyl; (<b>C</b>) 2,3-dihydroxybiphenyl; (<b>D</b>) 2-hydroxy-6-oxo-6-phenyl-2,4-hexadienoic acid (HOPDA); (<b>E</b>) benzoic acid; (<b>F</b>) 2-hydroxy-2,4-pentadienoic acid.</p>
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<p>Results from the RFP assay evincing linearity between Cu(II) concentration and RFP output. Reproduced from [<a href="#B35-fermentation-10-00079" class="html-bibr">35</a>] with permission from the Royal Society of Chemistry.</p>
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<p>Enzymatic and non-enzymatic reactions implicated in the violacein biosynthetic pathway encoded by the vioABCDE cluster, as well as the different colored products they yield.</p>
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<p>Violacein absorbance value as a function of Cu(II) concentration in the culture medium. ([<a href="#B40-fermentation-10-00079" class="html-bibr">40</a>] with permission).</p>
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<p>Pb-inducible expression of the cyanidin 3-O-glucoside biosynthetic pathway genes. Adapted from [<a href="#B62-fermentation-10-00079" class="html-bibr">62</a>].</p>
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<p>Inorganic Hg-dependent transcription of the genes involved in the β-carotene synthesis pathway. Adapted from [<a href="#B37-fermentation-10-00079" class="html-bibr">37</a>].</p>
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<p>Functioning of the AHL-detecting colorimetric biosensor devised by Wu et al. [<a href="#B93-fermentation-10-00079" class="html-bibr">93</a>].</p>
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26 pages, 493 KiB  
Article
Optimal Reinsurance under the Linear Combination of Risk Measures in the Presence of Reinsurance Loss Limit
by Qian Xiong, Zuoxiang Peng and Saralees Nadarajah
Risks 2023, 11(7), 125; https://doi.org/10.3390/risks11070125 - 10 Jul 2023
Cited by 2 | Viewed by 1685
Abstract
Optimal reinsurance problems under the risk measures, such as Value-at-Risk (VaR) and Tail-Value-at-Risk (TVaR), have been studied in recent literature. However, losses based on VaR may be underestimated and TVaR allows us to account better for catastrophic losses. In [...] Read more.
Optimal reinsurance problems under the risk measures, such as Value-at-Risk (VaR) and Tail-Value-at-Risk (TVaR), have been studied in recent literature. However, losses based on VaR may be underestimated and TVaR allows us to account better for catastrophic losses. In this paper, we propose a new family of flexible risk measures denoted by LVaR, which is a weighted combination of VaR and TVaR. Based on the new risk measures, we deal with the optimal reinsurance problem by minimizing the LVaR of the total risks of an insurer when two types of constraints for reinsurer’s risk exposure are considered. The results indicate that the two-layer reinsurance is always an optimal reinsurance policy with both types of constraints. Also, we find that the optimal reinsurance policy depends on the confidence level, the weight coefficient, the safety loading, the tolerance level, as well as the relations between them. Finally, we illustrate the results by numerical examples and compare them with the results in Lu et al. Full article
13 pages, 1203 KiB  
Article
Age-Related Differences in Testosterone Concentration and Its Relation to Testicular Biometrics, Hemodynamics, and Fertility in Alpacas (Vicugna pacos)
by Manuel G. Pérez-Durand, Angela Massa-Guzmán, Natalio Luque-Mamani, Domingo A. Ruelas-Calloapaza, Jesús M. Urviola-Sánchez, Eloy A. Condori-Chuchi, Miguel A. Gutiérrez-Reinoso, Uri H. Perez-Guerra and Manuel García-Herreros
Vet. Sci. 2023, 10(7), 429; https://doi.org/10.3390/vetsci10070429 - 1 Jul 2023
Cited by 3 | Viewed by 2253
Abstract
The goal of this study was to investigate the age-related differences in testosterone concentration and its relation to testicular biometrics, testicular blood flow, and fertility in alpacas (Vicugna pacos). Fifteen alpaca males with different ages (young (YM; ~12–14 mo.), n = [...] Read more.
The goal of this study was to investigate the age-related differences in testosterone concentration and its relation to testicular biometrics, testicular blood flow, and fertility in alpacas (Vicugna pacos). Fifteen alpaca males with different ages (young (YM; ~12–14 mo.), n = 5; intermediate (IM; ~24 mo.), n = 5; and old (OM; ≥36 mo.), n = 5) were enrolled in the study. Blood samples were taken from each alpaca male and the circulating plasmatic testosterone concentration (TC; ng/mL) was determined using ELISA analysis. The testicular traits related to bio-morphometric parameters (the length (L), width (W), area (A), and volume (TV)) were assessed using B-mode ultrasonography. Pulse-wave/power Doppler ultrasonography was used to obtain the circulatory dynamic values (testicular hemodynamics) before the beginning of natural service mating. Significant differences were observed in TC among the age groups, increasing as the age of the males increased (2.47 ± 0.31, 8.45 ± 1.53, and 22.66 ± 2.15 for YM, IM, and OM, respectively; p < 0.05); however, no differences were observed regarding the testicular B-mode ultrasonographic parameters (L, W, and A) (p > 0.05). Positive correlations were observed between TV and testicular L, W, and A (r = 0.96, r = 0.95, and r = 0.96, respectively; p ≤ 0.001). Pulse-wave-Doppler-derived parameters such as the pulsatility index (PI) and the resistive index (RI), as well as the total vascularity area (TVA) assessed by power Doppler, were similar in all of the age groups studied (p > 0.05). General linear model (GLM) analysis showed a relationship between TC and TV (OR = 0.95; p = 0.04), as well as between TC and TVA (OR = 0.99; p= 0.02). Finally, no differences were observed regarding the pregnancy rate among the different age groups (p > 0.05). In conclusion, TC increased as the age of the alpaca males increased. Although TC was related to TV and TVA, the pregnancy rates obtained from individuals belonging to the different age groups were similar, indicating that TC, TV, and TVA were not determining factors in assessing the potential age-related fertility differences in alpaca males. Full article
(This article belongs to the Special Issue Endocrine and Metabolic Regulation in Male Animal Reproduction)
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<p>Evaluation of testicular parameters (resistive index (RI) and pulsatility index (PI)) by using Doppler (pulse-wave) ultrasonography in male alpacas in the three experimental age groups. Representative ultrasonographic pulse-wave Doppler images obtained from testicular tissue in alpacas (<span class="html-italic">Vicugna pacos</span>): (<b>A</b>) young males (age: ~12–14 mo.); (<b>B</b>) intermediate males (age: ~24 mo.); and (<b>C</b>) old males (age: ≥36 mo.).</p>
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<p>Assessment of testicular hemodynamics [(red dots: testicular vascular area (TVA)] by using Doppler (power) ultrasonography in male alpacas in the three experimental age groups. Representative ultrasonographic power Doppler images obtained from testicular tissue in alpacas (<span class="html-italic">Vicugna pacos</span>): (<b>A</b>,<b>B</b>) Testicular hemodynamics (TVA) obtained from young males (age: ~12–14 mo.) in the right (<b>A</b>) and left (<b>B</b>) testicles, respectively; (<b>C</b>,<b>D</b>) Hemodynamic patterns (TVA) obtained from intermediate males (age: ~24 mo.) in the right (<b>C</b>) and left (<b>D</b>) testicles, respectively; and (<b>E</b>,<b>F</b>) Testicular hemodynamics (TVA) obtained from old males (age: &gt;36 mo.) in the right (<b>E</b>) and left (<b>F</b>) testicles, respectively. Scale bar: 10 mm.</p>
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10 pages, 886 KiB  
Article
Modulation of Murrah Buffalo (Bubalus bubalis) Rumen Functions for In Vitro Fatty Acid Bio-Hydrogenation, Methane Production and Fermentation Pattern of Total Mixed Ration Supplemented with Allium sativum (Garlic) Essential Oils
by Ram Kumar Singh, Avijit Dey, Shubham Thakur, Mala Singh and Puran Chand Lailer
Fermentation 2023, 9(7), 615; https://doi.org/10.3390/fermentation9070615 - 29 Jun 2023
Cited by 2 | Viewed by 1526
Abstract
The potential for plant-origin essential oils to modulate rumen functions for reducing bio-hydrogenation of fatty acids and methane production has been a significant area of research in recent times. This study investigated the effects supplementation of garlic (Allium sativum) essential oils [...] Read more.
The potential for plant-origin essential oils to modulate rumen functions for reducing bio-hydrogenation of fatty acids and methane production has been a significant area of research in recent times. This study investigated the effects supplementation of garlic (Allium sativum) essential oils have on in vitro bio-hydrogenation of fatty acids, methanogenesis and fermentation characteristics of total mixed ration in buffalo with the aim of enhancing conjugated linoleic acid (CLA) content in animal products as well as reducing environmental pollution. Allium sativum (AS) essential oils were examined at four levels [0 (Control), 33.33 µL (AS-1), 83.33 µL (AS-2) and 166.66 µL (AS-3) per litre of buffered rumen fluid] in a radio-frequency based automatic gas production system (ANKOM-RF). Two bottles per treatment per run over two incubation runs were undertaken to gain representative results. Oats hay and concentrate mixture (1:1) was used as a substrate (500 ± 5 mg) and incubated with 60 mL of buffered rumen fluid in 250 mL ANKOM bottles fitted with automatic an gas recording system at 39 °C for 24 h, following standard in vitro gas production protocols. The results demonstrated a reduction (p < 0.01) in lipid bio-hydrogenation, measured by lowered saturated fatty acids and enhanced unsaturated fatty acids on the supplementation of AS essential oils, irrespective of the dose levels. Moreover, the increased (p < 0.01) production of trans vaccenic (trans C18:1) acid (TVA) following graded dose supplementations of the AS essential oils increased the production of conjugated linoleic acids (CLA) in animal products. Although, reduced methane production (p < 0.01) was evidenced, the decrease in total gas production and feed digestibility (TDDM) demonstrated the strong antimicrobial properties of AS at all dose levels. The study reveals that the Allium sativam (Garlic) essential oils have the potential to be an agent for the reduction of the rumen biohydrogenation of fatty acids and methanogenesis. However, in vivo examination is necessary to validate the findings and confirm its suitability for use as an additive to enhance nutraceutical and organoleptic properties in animal products. Full article
(This article belongs to the Special Issue Recent Advances in Rumen Fermentation Efficiency)
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<p>Effects of the graded levels of AS supplementation with mixed feed on rumen biohydrogenation of fatty acids (SFA, Saturated Fatty Acids; USFA, Un Saturated Fatty Acids).</p>
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<p>Effects of the AS supplementation with mixed feed on truly degradable dry matter, total gas production and ammonia-N.</p>
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<p>Effects of the graded levels of AS supplementation with mixed feed on methanogenesis.</p>
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16 pages, 3984 KiB  
Article
Microstructural and Morphological Characterization of the Cobalt-Nickel Thin Films Deposited by the Laser-Induced Thermionic Vacuum Arc Method
by Virginia Dinca, Aurelia Mandes, Rodica Vladoiu, Gabriel Prodan, Victor Ciupina and Silviu Polosan
Coatings 2023, 13(6), 984; https://doi.org/10.3390/coatings13060984 - 25 May 2023
Cited by 1 | Viewed by 1912
Abstract
Laser Induced-Thermionic Vacuum Arc (LTVA) technology was used for depositing uniform intermetallic CoNi thin films of 100 nm thickness. LTVA is an original deposition method using a combination of the typical Thermionic Vacuum Arc (TVA) system and a laser beam provided by a [...] Read more.
Laser Induced-Thermionic Vacuum Arc (LTVA) technology was used for depositing uniform intermetallic CoNi thin films of 100 nm thickness. LTVA is an original deposition method using a combination of the typical Thermionic Vacuum Arc (TVA) system and a laser beam provided by a QUANTEL Q-Smart 850 Nd:YAG compact Q-switched laser with a second harmonic module. The novelty is related to the simultaneous deposition of a bi-component metallic thin film using photonic processes of the laser over the plasma deposition, which improves the roughness but also triggers the composition of the deposited thin film. Structural analysis of the deposited thin films confirms the formation of face-centered cubic (fcc) as the main phase CoNi and hexagonal Co3Ni as the minority phase, observed mainly using high-resolution transmission electron microscopy. The magneto-optical measurements suggest an isotropic distribution of the CoNi alloy thin films for the in-plan angular rotation. From the low coercive field of Hc = 40 Oe and a saturation field at 900 Oe, the CoNi thin films obtained by LTVA are considered semi-hard magnetic materials. Magnetic force microscopy reveals spherical magnetic nanoparticles with mean size of about 40–50 nm. The resistivity was estimated at ρ = 34.16 μΩ cm, which is higher than the values for bulk Co and Ni. Full article
(This article belongs to the Special Issue Nanostructured Materials Deposition Techniques and Characterization)
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<p>Schematic of the experimental LTVA system for CoNi thin film deposition.</p>
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<p>X-ray diffraction patterns of the CoNi thin film (<b>a</b>) and details of the (111) peak (<b>b</b>).</p>
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<p>HRTEM image (<b>a</b>) with SAED determination (<b>b</b>) and estimation of nanocrystal dimension based on LogNormal analysis (<b>c</b>).</p>
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<p>X-ray reflectometry of CoNi thin film.</p>
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<p>SEM micrographs recorded on CoNi sample-2D image (<b>a</b>) and 3D image (<b>b</b>).</p>
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<p>EDX patterns of CoNi thin films.</p>
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<p>AFM image of the CoNi thin films: (<b>a</b>) 20 × 20 μm and (<b>b</b>) 1 × 1 μm. MFM images of the CoNi thin films: (<b>c</b>) 20 × 20 μm and (<b>d</b>) 1 × 1 μm.</p>
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<p>MOKE curves for three in-plan orientations (<b>a</b>) and the angle dependence of the coercive field (<b>b</b>).</p>
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<p>Current-voltage measurements at T = 295 K.</p>
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<p>Resistivity versus temperature.</p>
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11 pages, 1721 KiB  
Article
Purification of Natural Pigments Violacein and Deoxyviolacein Produced by Fermentation Using Yarrowia lipolytica
by Georgio Nemer, Nicolas Louka, Paul Rabiller Blandin, Richard G. Maroun, Eugène Vorobiev, Tristan Rossignol, Jean-Marc Nicaud, Erwann Guénin and Mohamed Koubaa
Molecules 2023, 28(11), 4292; https://doi.org/10.3390/molecules28114292 - 24 May 2023
Cited by 4 | Viewed by 3315
Abstract
Violacein and deoxyviolacein are bis-indole pigments synthesized by a number of microorganisms. The present study describes the biosynthesis of a mixture of violacein and deoxyviolacein using a genetically modified Y. lipolytica strain as a production chassis, the subsequent extraction of the intracellular pigments, [...] Read more.
Violacein and deoxyviolacein are bis-indole pigments synthesized by a number of microorganisms. The present study describes the biosynthesis of a mixture of violacein and deoxyviolacein using a genetically modified Y. lipolytica strain as a production chassis, the subsequent extraction of the intracellular pigments, and ultimately their purification using column chromatography. The results show that the optimal separation between the pigments occurs using an ethyl acetate/cyclohexane mixture with different ratios, first 65:35 until both pigments were clearly visible and distinguishable, then 40:60 to create a noticeable separation between them and recover the deoxyviolacein, and finally 80:20, which allows the recovery of the violacein. The purified pigments were then analyzed by thin-layer chromatography and nuclear magnetic resonance. Full article
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<p>Time course of crude violacein extraction. Cumulative concentration (g/L) of pigments (violacein and deoxyviolacein) in ethanol 96% over time throughout three extractions (purple symbols). Red lines are given to guide the eye to show the extracted pigments after each extraction.</p>
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<p>Determination of optimal solvent ratio for violacein/deoxyviolacein separation. Thin layer chromatography assays to evaluate the efficacy of the solvent mixtures considered. The sequence of pigment deposits, from left to right, is as follows: Extraction 1 (E1), Extraction 2 (E2), Extraction 3 (E3), 1:1:1 mixture. (<b>A</b>–<b>H</b>) correspond to the solvents’ ethyl acetate/cyclohexane ratio of 10:90, 20:80, 30:70, 40:60, 50:50, 60:40, 65:35, and 80:20, respectively.</p>
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<p>(<b>A</b>) Chromatography column load with pigment extract. (<b>B</b>) Solvent “G” was added until two distinct colors were observed at the extremities, with violacein at the top and deoxyviolacein at the bottom. (<b>C</b>) Solvent “D” was added until the deoxyviolacein was sufficiently distant from the violacein. (<b>D</b>) Purified extracts were analyzed on a TLC plate.</p>
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<p>(<b>A</b>) Common molecular scaffold of violacein and deoxyviolacein with numbers assigned to each amide and indolic proton. For violacein, R would be a hydroxyl group; for deoxyviolacein, R would be hydrogen. (<b>B</b>) <sup>1</sup>H-NMR spectrogram for deoxyviolacein. (<b>C</b>) <sup>1</sup>H-NMR spectrogram for violacein.</p>
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