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22 pages, 3975 KiB  
Article
Feasibility and Tolerability of Daily Microgreen Consumption in Healthy Middle-Aged/Older Adults: A Randomized, Open-Label, Controlled Crossover Trial
by Sylvia Y. Lee, Kiri A. Michell, Michelle M. Butler, Brayden T. Smith, Emily K. Woolf, Sydney C. Holmes, Lauren E. Grabos, Allegra R. Vazquez, Hanan Isweiri, Marisa Bunning, Mark E. Uchanski, Sangeeta Rao, Steven E. Newman, Tiffany L. Weir and Sarah A. Johnson
Nutrients 2025, 17(3), 467; https://doi.org/10.3390/nu17030467 - 28 Jan 2025
Viewed by 769
Abstract
Background/Objectives: Microgreens are rich in nutrients and phytochemicals that can support healthy aging, including attenuation of cardiovascular disease risk. The nutrient and phytochemical contents of red beet (i.e., bull’s blood’ beet, Beta vulgaris) and red cabbage (Brassica oleracea var capitate) microgreens, [...] Read more.
Background/Objectives: Microgreens are rich in nutrients and phytochemicals that can support healthy aging, including attenuation of cardiovascular disease risk. The nutrient and phytochemical contents of red beet (i.e., bull’s blood’ beet, Beta vulgaris) and red cabbage (Brassica oleracea var capitate) microgreens, as well as existing preclinical evidence suggest their cardioprotective effects, but the feasibility, gastrointestinal tolerability, and human health effects of daily microgreen consumption are unknown. This study aimed to evaluate the feasibility and gastrointestinal tolerability of 2 weeks of daily microgreen consumption in healthy middle-aged/older (MA/O) adults. A secondary aim was to characterize potential health effects. Methods: Healthy MA/O adults (initial n = 26) were randomized to consume either 2 cups of ‘bull’s blood’ beet or red cabbage microgreens daily for 2 weeks in a crossover design, with each treatment period separated by 2 weeks. Feasibility was determined through participant retention and intervention compliance (i.e., total doses consumed divided by 14 days), while gastrointestinal tolerability was determined by a gastrointestinal health questionnaire and bowel movement log. Impacts of microgreen consumption on brachial and aortic hemodynamic parameters, and gut microbiota composition were evaluated. Results: Daily consumption for 2 weeks of ‘bull’s blood’ beet and red cabbage microgreens was found to be feasible as indicated by high participant retention (final n = 24) and overall treatment compliance of 95.6%. Gastrointestinal symptom severity was not impacted overall, though an improvement in gastrointestinal inflammation-associated symptom severity scores following the red cabbage microgreen intervention (p = 0.047) was observed. There were no changes in bowel movement quality, hemodynamic parameters, or on alpha or beta diversity of the gut microbiota. Conclusions: Daily consumption of ‘bull’s blood’ beet and red cabbage microgreens is feasible and tolerable in healthy MA/O adults. Future studies designed to evaluate their health impacts are needed. Full article
(This article belongs to the Section Phytochemicals and Human Health)
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<p>CONSORT flow diagram of participants through a randomized, open-label, 2-period crossover trial where they consumed 2 cups/day of ‘bull’s blood’ beet microgreens or red cabbage microgreens for a 2-week period.</p>
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<p>Schematic of clinical trial design and data collection in a randomized, open-label, 2-period crossover trial where they consumed 2 cups/day of ‘bull’s blood’ beet microgreens or red cabbage microgreens for a 2-week period. Procedures completed at each visit are listed with an X. Abbreviations: ASA24, automated self-administered 24-h dietary recall; PWA, pulse wave analysis.</p>
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<p>Changes in gastrointestinal symptom severity priority level following daily microgreen consumption as determined by a gastrointestinal health questionnaire in a randomized, open-label, 2-period crossover trial where they consumed 2 cups/day of ‘bull’s blood’ beet microgreens or red cabbage microgreens for a 2-week period. (<b>A</b>) total gastrointestinal symptom severity scores, (<b>B</b>) gastric function symptom severity scores, (<b>C</b>) gastrointestinal inflammation symptom severity scores, (<b>D</b>) small intestine and pancreas function symptom severity scores, and (<b>E</b>) colon function symptom severity scores. Data are mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05. ‘Bull’s Blood’ Beet n = 25; Red Cabbage n = 24. Axes are colored by symptom priority category (low-high). Abbreviations: GI, gastrointestinal; ns, not significant; SI, small intestine.</p>
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<p>Gastric function symptom severity priority level before and after daily microgreen consumption as determined by a gastrointestinal health questionnaire in a randomized, open-label, 2-period crossover trial where they consumed 2 cups/day of ‘bull’s blood’ beet microgreens or red cabbage microgreens for a 2-week period. Change in priority level for (<b>A</b>) ‘bull’s blood’ beet microgreens and number of participants in each priority level at (<b>B</b>) baseline and (<b>C</b>) 2 weeks following ‘bull’s blood’ beet (n = 25); and change in priority level for (<b>D</b>) red cabbage microgreens and number of participants in each priority level at (<b>E</b>) baseline and (<b>F</b>) 2 weeks following red cabbage (n = 24) microgreens consumption.</p>
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<p>Gastrointestinal inflammation symptom severity priority level before and after daily microgreen consumption as determined by a gastrointestinal health questionnaire in a randomized, open-label, 2-period crossover trial where they consumed 2 cups/day of ‘bull’s blood’ beet microgreens or red cabbage microgreens for a 2-week period. Change in priority level for (<b>A</b>) ‘bull’s blood’ beet microgreens and number of participants in each priority level at (<b>B</b>) baseline and (<b>C</b>) 2 weeks following ‘bull’s blood’ beet (n = 25); and change in priority level for (<b>D</b>) red cabbage microgreens and number of participants in each priority level at (<b>E</b>) baseline and (<b>F</b>) 2 weeks following red cabbage (n = 24) microgreens consumption.</p>
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<p>Small intestine and pancreas function symptom severity priority level before and after daily microgreen consumption as determined by a gastrointestinal health questionnaire in a randomized, open-label, 2-period crossover trial where they consumed 2 cups/day of ‘bull’s blood’ beet microgreens or red cabbage microgreens for a 2-week period. Change in priority level for (<b>A</b>) ‘bull’s blood’ beet microgreens and number of participants in each priority level at (<b>B</b>) baseline and (<b>C</b>) 2 weeks following ‘bull’s blood’ beet (n = 25); and change in priority level for (<b>D</b>) red cabbage microgreens and number of participants in each priority level at (<b>E</b>) baseline and (<b>F</b>) 2 weeks following red cabbage (n = 24) microgreens consumption.</p>
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<p>Colon function symptom severity priority level before and after daily microgreen consumption as determined by a gastrointestinal health questionnaire in a randomized, open-label, 2-period crossover trial where they consumed 2 cups/day of ‘bull’s blood’ beet microgreens or red cabbage microgreens for a 2-week period. Change in priority level for (<b>A</b>) ‘bull’s blood’ beet microgreens and number of participants in each priority level at (<b>B</b>) baseline and (<b>C</b>) 2 weeks following ‘bull’s blood’ beet (n = 25); and change in priority level for (<b>D</b>) red cabbage microgreens and number of participants in each priority level at (<b>E</b>) baseline and (<b>F</b>) 2 weeks following red cabbage (n = 24) microgreens consumption.</p>
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<p>Average bowel movement frequency and type was evaluated through a bowel movement log (i.e., Bristol stool scale) in a randomized, open-label, 2-period crossover trial where they consumed 2 cups/day of ‘bull’s blood’ beet microgreens or red cabbage microgreens for a 2-week period. (<b>A</b>) Number of bowel movements per day and (<b>B</b>) Bristol stool scale bowel movement type comparisons between the first vs. second week of microgreens intervention, (<b>C</b>) number of bowel movements per day and (<b>D</b>) Bristol stool scale bowel movement type comparisons between the first two days vs. the second week of intervention, (<b>E</b>) number of bowel movements per day and (<b>F</b>) Bristol stool scale bowel movement type comparisons between day 1 vs. day 2 of intervention, (<b>G</b>) number of bowel movements per day and (<b>H</b>) Bristol stool scale BM type comparisons between the day 1 vs. day 3 of the intervention. Data are mean ± SEM. ‘Bull’s Blood’ Beet n = 25; Red Cabbage n = 24. Participants with identical bowel movement data overlap and appear as one point. Abbreviations: BM, bowel movement.</p>
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<p>Gut microbiota parameters at baseline and 2-weeks following daily consumption of 2 cups/day of ‘bull’s blood’ beet microgreens or red cabbage microgreens in a randomized, open-label, 2-period crossover trial. (<b>A</b>) Relative abundance of taxa at the phylum level, (<b>B</b>) alpha diversity of the gut microbiota at the genus level measured by Shannon index, and (<b>C</b>) beta diversity of the gut microbiota PCoA plots at the genus level measured by Bray-Curtis. ‘Bull’s blood’ beet n = 24; red cabbage n = 23.</p>
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22 pages, 5535 KiB  
Article
Monitoring Meat Freshness with Intelligent Colorimetric Labels Containing Red Cabbage Anthocyanins Copigmented with Gelatin and Gallic Acid
by Minyoung Kwak and Sea C. Min
Foods 2024, 13(21), 3464; https://doi.org/10.3390/foods13213464 - 29 Oct 2024
Viewed by 1140
Abstract
Polyvinyl alcohol (PVA)-based pH-responsive color indicators were developed using red cabbage anthocyanin (Anth) copigmented with gelatin and gallic acid (GA). The indicator prepared with gelatin and GA (GA/gelatin/Anth/PVA) was highly resistant to light exposure. GA/gelatin/Anth/PVA exhibited distinct color changes in pH 2–11 buffer [...] Read more.
Polyvinyl alcohol (PVA)-based pH-responsive color indicators were developed using red cabbage anthocyanin (Anth) copigmented with gelatin and gallic acid (GA). The indicator prepared with gelatin and GA (GA/gelatin/Anth/PVA) was highly resistant to light exposure. GA/gelatin/Anth/PVA exhibited distinct color changes in pH 2–11 buffer solutions and stable color indication in acidic and neutral solid systems (pH 2 and 7) at 97% relative humidity. GA/gelatin/Anth/PVA exhibited the highest sensitivity to dimethylamine, followed by ammonia and trimethylamine. The addition of gelatin and GA facilitated hydrogen bonding, which enhanced thermal stability and water solubility without compromising tensile properties. A color change from purple to blue signaled spoilage when total volatile basic nitrogen values for beef and squid reached 21.0 and 37.8 mg/100 g, respectively. The GA/gelatin/Anth/PVA indicator shows potential for indicating the freshness of raw beef. Full article
(This article belongs to the Section Food Packaging and Preservation)
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<p>Changes in ∆<span class="html-italic">E</span> values of polyvinyl alcohol (PVA)-based pH-responsive color indicators using anthocyanin (Anth; Anth/PVA), Anth copigmented with gallic acid (GA; GA/Anth/PVA), Anth copigmented with gelatin (Gelatin/Anth/PVA), Anth copigmented with gelatin and GA (GA/gelatin/Anth/PVA), Anth copigmented with gelatin and aluminum ions (AL; AL/gelatin/Anth/PVA), and Anth copigmented with gelatin, GA, and AL (AL/GA/gelatin/Anth/PVA) determined during storage for 12 days at 4 °C (<b>A</b>) under fluorescent light and (<b>B</b>) dark conditions (<span class="html-italic">n</span> = 6).</p>
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<p>(<b>A</b>) Images and (<b>B</b>) UV–Vis spectra of the Anth solution in various pH buffer solutions.</p>
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<p>Changes in ∆<span class="html-italic">E</span> values of the polyvinyl alcohol (PVA)-based pH-responsive color indicator using anthocyanin (Anth) copigmented with gelatin and gallic acid (GA; GA/gelatin/Anth/PVA) at pH 2, 7, and 11 and 74, 84, and 97% RH with respect to storage time during storage at (<b>A</b>) 4 °C, (<b>B</b>) 10 °C, and (<b>C</b>) 25 °C. Means followed by different small letters (a–d) above the symbols indicate significant differences over storage time (<span class="html-italic">p</span> &lt; 0.05), reflecting that the color changes of the indicators at the same pH level vary over time at the same RH. Means (<span class="html-italic">n</span> = 6) followed by different capital letters (A–C) above the symbols indicate significant differences over relative humidity (<span class="html-italic">p</span> &lt; 0.05), illustrating the impact of varying RH levels on the color changes of the indicators at the same storage time point for each pH level.</p>
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<p>Changes in ∆<span class="html-italic">E</span> values of the polyvinyl alcohol (PVA)-based pH-responsive color indicator using anthocyanin (Anth) copigmented with gelatin and gallic acid (GA; GA/gelatin/Anth/PVA) at pH 2 and 7 at 4, 10, and 25 °C with respect to storage temperature during storage at (<b>A</b>) 74%, (<b>B</b>) 84%, and (<b>C</b>) 97% RH. Means (<span class="html-italic">n</span> = 6) followed by different small letters (a–c) above the symbols indicate significant differences over storage temperature (<span class="html-italic">p</span> &lt; 0.05), reflecting the impact of varying temperatures on the color changes of the indicators at the same storage time point for each pH level.</p>
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<p>Scanning electron microscopy images of the surfaces and cross-sections of the (<b>A</b>) polyvinyl alcohol (PVA) film, (<b>B</b>) PVA-based pH-responsive color indicator using anthocyanin (Anth; Anth/PVA), and (<b>C</b>) PVA-based pH-responsive color indicator using Anth copigmented with gelatin and gallic acid(GA; GA/gelatin/Anth/PVA).</p>
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<p>(<b>A</b>) Fourier-transform infrared spectroscopy spectra and (<b>B</b>) thermal degradation curves of the polyvinyl alcohol (PVA) film, PVA-based pH-responsive color indicator using anthocyanin (Anth; Anth/PVA), and polyvinyl alcohol-based pH-responsive color indicator using Anth copigmented with gelatin and gallic acid (GA; GA/gelatin/Anth/PVA).</p>
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<p>Changes in the pH and TVBN values (<span class="html-italic">n</span> = 4) of raw beef and the color of the polyvinyl alcohol (PVA)-based pH-responsive color indicator using anthocyanin (Anth) copigmented with gelatin and gallic acid (GA; GA/gelatin/Anth/PVA) during storage at (<b>A</b>) 4 and (<b>B</b>) 25 °C.</p>
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14 pages, 1309 KiB  
Review
Overview of Phytochemical Composition of Brassica oleraceae var. capitata Cultivars
by Olga Statilko, Thalia Tsiaka, Vassilia J. Sinanoglou and Irini F. Strati
Foods 2024, 13(21), 3395; https://doi.org/10.3390/foods13213395 - 25 Oct 2024
Cited by 1 | Viewed by 1718
Abstract
The Brassicaceae family includes a wide range of horticultural crops of economic and traditional importance, consumed either fresh, cooked, or fermented. Cabbage (Brassica oleraceae var. capitata) is one of the most important crops of the family. The present review analyzes the [...] Read more.
The Brassicaceae family includes a wide range of horticultural crops of economic and traditional importance, consumed either fresh, cooked, or fermented. Cabbage (Brassica oleraceae var. capitata) is one of the most important crops of the family. The present review analyzes the most important phytochemicals present in cabbage, focusing on variation of phytochemical composition between cultivars of B. oleraceae var. capitata f. alba, B. oleraceae var. capitata f. rubra, B. oleraceae var. capitata f. acuta, and B. oleraceae var. capitata f. sabauda. Cabbage form and cultivars significantly affect phytochemical compositions. B. oleraceae var. capitata f. rubra cultivars are generally great sources of phenolic compounds, especially anthocyanins, whereas B. oleraceae var. capitata f. alba cultivars display the highest concentration of glucosinolates; nevertheless, their levels are also dependent on the specific cultivar. B. oleraceae var. capitata f. acuta cultivars may be considered advantageous due to their high glucosinolate content and consistent phytochemical composition. Recognizing the benefits of specific cultivars can be valuable for consumers seeking a healthier lifestyle, as well as for scientists aiming to enhance cultivars through breeding programs or use plants’ extracts to produce high quality pigments and dietary supplements. Full article
(This article belongs to the Special Issue Feature Review on Plant Foods)
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<p>Different forms of cabbage. (<b>a</b>) <span class="html-italic">Brassica oleraceae</span> var. <span class="html-italic">capitata </span>f. <span class="html-italic">alba</span>, (<b>b</b>) <span class="html-italic">Brassica oleaceae</span> var. <span class="html-italic">capitata</span> f. <span class="html-italic">rubra</span>, (<b>c</b>) <span class="html-italic">Brassica oleraceae</span> var. <span class="html-italic">capitata</span> f. <span class="html-italic">sabauda</span>, (<b>d</b>) <span class="html-italic">Brassica oleraceae</span> var. <span class="html-italic">capitata</span> f. <span class="html-italic">acuta</span>.</p>
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<p>Generic structure of glucosinolate. The side group R varies.</p>
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<p>Chemical structures of most common hydroxycinnamic acids in cabbage.</p>
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<p>Chemical structures of most common flavonols in cabbage.</p>
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18 pages, 11083 KiB  
Article
Influence of Spatial Scale Effect on UAV Remote Sensing Accuracy in Identifying Chinese Cabbage (Brassica rapa subsp. Pekinensis) Plants
by Xiandan Du, Zhongfa Zhou and Denghong Huang
Agriculture 2024, 14(11), 1871; https://doi.org/10.3390/agriculture14111871 - 23 Oct 2024
Viewed by 931
Abstract
The exploration of the impact of different spatial scales on the low-altitude remote sensing identification of Chinese cabbage (Brassica rapa subsp. Pekinensis) plants offers important theoretical reference value in balancing the accuracy of plant identification with work efficiency. This study focuses [...] Read more.
The exploration of the impact of different spatial scales on the low-altitude remote sensing identification of Chinese cabbage (Brassica rapa subsp. Pekinensis) plants offers important theoretical reference value in balancing the accuracy of plant identification with work efficiency. This study focuses on Chinese cabbage plants during the rosette stage; RGB images were obtained by drones at different flight heights (20 m, 30 m, 40 m, 50 m, 60 m, and 70 m). Spectral sampling analysis was conducted on different ground backgrounds to assess their separability. Based on the four commonly used vegetation indices for crop recognition, the Excess Green Index (ExG), Red Green Ratio Index (RGRI), Green Leaf Index (GLI), and Excess Green Minus Excess Red Index (ExG-ExR), the optimal index was selected for extraction. Image processing methods such as frequency domain filtering, threshold segmentation, and morphological filtering were used to reduce the impact of weed and mulch noise on recognition accuracy. The recognition results were vectorized and combined with field data for the statistical verification of accuracy. The research results show that (1) the ExG can effectively distinguish between soil, mulch, and Chinese cabbage plants; (2) images of different spatial resolutions differ in the optimal type of frequency domain filtering and convolution kernel size, and the threshold segmentation effect also varies; (3) as the spatial resolution of the imagery decreases, the optimal window size for morphological filtering also decreases, accordingly; and (4) at a flight height of 30 m to 50 m, the recognition effect is the best, achieving a balance between recognition accuracy and coverage efficiency. The method proposed in this paper is beneficial for agricultural growers and managers in carrying out precision planting management and planting structure optimization analysis and can aid in the timely adjustment of planting density or layout to improve land use efficiency and optimize resource utilization. Full article
(This article belongs to the Special Issue Application of UAVs in Precision Agriculture—2nd Edition)
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<p>Schematic diagram of the study area. Different growth conditions: (<b>a</b>) uneven growth, (<b>b</b>) generally poor growth, (<b>c</b>) generally good growth. Different background characteristics: (<b>d</b>) covered with white plastic mulch (with and without water adhesion), (<b>e</b>) plants with multiple features (including connected plant and yellow and green leaves).</p>
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<p>Research technology roadmap.</p>
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<p>Spectral curve of the image. In this figure, the three curves representing red, green, and blue correspond to the red, green, and blue bands, respectively. The X-axis represents the sampling distance, which refers to the data measured along a line segment (profile line) drawn on the image; the Y-axis represents the spectral value at each point along the profile line. Note: (<b>a</b>) plants with green and yellow leaves; (<b>b</b>) the soil spectral curve; (<b>c</b>) the spectral curve of the mulch film background; (<b>d</b>) plant with green leaves and soil relationship; (<b>e</b>) plant with yellow leaves and soil relationship; (<b>f</b>) plant and mulch film.</p>
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<p>Comparison of different morphological filtering results. Note: (<b>b</b>) represents the “Otsu” processing result, while (<b>a</b>,<b>c</b>) represent the results of “closing” and “opening” operations based on Otsu, respectively. <span class="html-fig-inline" id="agriculture-14-01871-i052"><img alt="Agriculture 14 01871 i052" src="/agriculture/agriculture-14-01871/article_deploy/html/images/agriculture-14-01871-i052.png"/></span> The red box indicates the noise of the image; <span class="html-fig-inline" id="agriculture-14-01871-i053"><img alt="Agriculture 14 01871 i053" src="/agriculture/agriculture-14-01871/article_deploy/html/images/agriculture-14-01871-i053.png"/></span> the black box indicates the conjoined area between plants.</p>
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17 pages, 4949 KiB  
Article
Effects of Different LED Spectra on the Antioxidant Capacity and Nitrogen Metabolism of Chinese Cabbage (Brassica rapa L. ssp. Pekinensis)
by Jie Li, Yubing Liu, Junwei Wang, Mingyue Liu, Yanling Li and Jingyuan Zheng
Plants 2024, 13(21), 2958; https://doi.org/10.3390/plants13212958 - 23 Oct 2024
Cited by 2 | Viewed by 1130
Abstract
Light quality optimization is a cost-effective method for increasing leafy vegetable quality in plant factories. Light-emitting diodes (LEDs) that enable the precise modulation of light quality were used in this study to examine the effects of red-blue (RB), red-blue-green (RBG), red-blue-purple (RBP), and [...] Read more.
Light quality optimization is a cost-effective method for increasing leafy vegetable quality in plant factories. Light-emitting diodes (LEDs) that enable the precise modulation of light quality were used in this study to examine the effects of red-blue (RB), red-blue-green (RBG), red-blue-purple (RBP), and red-blue-far-red (RBF) lights on the growth, antioxidant capacity, and nitrogen metabolism of Chinese cabbage leaves, while white light served as the control (CK). Results showed that the chlorophyll, carotenoid, vitamin C, amino acid, total flavonoid, and antioxidant levels of Chinese cabbage were all significantly increased under RBP combined light treatment. Meanwhile, RBG combined light treatment significantly increased the levels of amino acids but decreased the nitrite content of Chinese cabbage. In addition, RBF combined light treatment remarkably increased the amino acid levels but decreased the antioxidant capacity of Chinese cabbage. In conclusion, the addition of purple light to red-blue light was effective in improving the nutritional value and antioxidant capacity of Chinese cabbage. This light condition can be used as a model for a supplemental lighting strategy for leafy vegetables in plant factory production. Full article
(This article belongs to the Special Issue Horticultural Plant Physiology and Molecular Biology)
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<p>Relative spectral value of white light and four other treatments. Note: (<b>A</b>): CK: white light, (<b>B</b>): RB: 75% red + 25% blue LED, (<b>C</b>): RBG: 60% red + 20% blue + 20% green LED, (<b>D</b>): RBP: 60% red + 20% blue + 20% purple LED, (<b>E</b>): RBF: 60% red + 20% blue + 20% far-red LED.</p>
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<p>Effects of spectra on photosynthetic rate and chlorophyll fluorescence of Chinese cabbage leaves under different LED treatments (<span class="html-italic">p</span> &lt; 0.05). (<b>A</b>): Net photosynthetic rate; (<b>B</b>): Maximum quantum yield; (<b>C</b>): Photosynthetic electron transfer efficiency; (<b>D</b>): Photochemical quenching; (<b>E</b>): Non-photochemical quenching; (<b>F</b>): OJIP-test parameter. Data represent means ± s.d. (n = 3 biological replicates). Significant differences were determined by Duncan’s multiple range test. The letters represent the significant difference of different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of spectra on soluble sugar, soluble protein and vitamin C contents of Chinese cabbage leaves under different LED treatments (<span class="html-italic">p</span> &lt; 0.05). (<b>A</b>): Content of chlorophyll a, chlorophyll b, and carotenoid; Content of: (<b>B</b>) total phenolic; (<b>C</b>) total flavonoid; (<b>D</b>) soluble sugar; (<b>E</b>) soluble protein; (<b>F</b>) vitamin C. Data represent means ± s.d. (n = 3 biological replicates). Significant differences were determined by Duncan’s multiple range test. The letters represent the significant difference of different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of spectra on antioxidant characteristics of Chinese cabbage leaves under different LED treatments (<span class="html-italic">p</span> &lt; 0.05). (<b>A</b>): content of hydrogen peroxide; (<b>B</b>): Superoxide anion generating rate; (<b>C</b>): Malondialdehyde (MDA); (<b>D</b>–<b>F</b>): the activity of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) under different treatments; (<b>G</b>,<b>H</b>): Antioxidant evaluation indicators of Chinese cabbage under different treatments; (<b>I</b>): Ferric ion reducing antioxidant power (FRAP) under different treatments. Data represent means ± s.d. (n = 3 biological replicates). Significant differences were determined by Duncan’s multiple range test. The letters represent the significant difference of different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of spectra on nitrate, nitrite, ammonium, and amino acids contents of Chinese cabbage leaves under different LED treatments (<span class="html-italic">p</span> &lt; 0.05). (<b>A</b>–<b>C</b>): The content of nitrate (<b>A</b>), nitrite (<b>B</b>), and Ammonium (<b>C</b>); (<b>D</b>): the content of total free amino acids (sum of 16 kinds of amino acids); (<b>E</b>): The content of 16 amino acids under different treatments (The color from blue to red indicates an increase in the value). Data represent means ± s.d. (n = 3 biological replicates). Significant differences were determined by Duncan’s multiple range test. The letters represent the significant difference of different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of spectra on gene expression related in nitrogen metabolism of Chinese cabbage leaves under different LED treatments. The expression level of: (<b>A</b>) <span class="html-italic">BrNR</span>; (<b>B</b>) <span class="html-italic">BrNiR</span>; (<b>C</b>): <span class="html-italic">BrGS</span>; (<b>D</b>): <span class="html-italic">BrGOGAT</span>; (<b>E</b>): <span class="html-italic">BrGDH</span>. Data represent means ± s.d. (n = 3 biological replicates). Significant differences were determined by Duncan’s multiple range test. The letters represent the significant difference of different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of spectra on enzyme activity of nitrogen metabolism of Chinese cabbage leaves under different LED treatments. The activity of: (<b>A</b>) NR; (<b>B</b>) NiR; (<b>C</b>): GS; (<b>D</b>): GOGAT; (<b>E</b>): GDH. Data represent means ± s.d. (n = 3 biological replicates). Significant differences were determined by Duncan’s multiple range test. The letters represent the significant difference of different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Correlation analysis and comprehensive evaluation on the growth, quality, antioxidant capacity and nitrogen metabolism of Chinese cabbage. (<b>A</b>): The correlation analysis of the indicators measured in this experiment; (<b>B</b>): Comprehensive evaluation of different light treatment on the growth, quality, antioxidant capacity and nitrogen metabolism. The asterisks in (<b>A</b>) and letters in (<b>B</b>) represent the significant difference of different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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14 pages, 1660 KiB  
Article
Use of Vegetable Waste for New Ecological Methods in Wool Fibre Treatments
by Simona Gavrilaș, Mihaela Dochia, Andreea-Raluca Sărsan, Bianca-Denisa Chereji and Florentina-Daniela Munteanu
Clean Technol. 2024, 6(4), 1326-1339; https://doi.org/10.3390/cleantechnol6040063 - 1 Oct 2024
Viewed by 1860
Abstract
In this current research, various amino acids (lysine, betaine, and cysteine) and peptides (oxidised or reduced glutathione) were considered as potential environmentally friendly alternatives to wool bleaching. A greener methodology was also applied to dyeing. Different agro-wastes (red cabbage, peppercorns, and red and [...] Read more.
In this current research, various amino acids (lysine, betaine, and cysteine) and peptides (oxidised or reduced glutathione) were considered as potential environmentally friendly alternatives to wool bleaching. A greener methodology was also applied to dyeing. Different agro-wastes (red cabbage, peppercorns, and red and yellow onion peels) served as raw pigment materials. The process’s efficiency was characterised by the whiteness degree, colour strength, and fastness to accelerated washing and perspiration. A higher whiteness index value was observed in the cysteine-based formulations. The onion peel exhibited significant tinctorial properties due to the presence of some natural mordants. All the proposed treatments were designed with a primary focus on environmental sustainability. These treatments offer a sustainable and environmentally friendly alternative to traditional bleaching and dyeing methods for wool. They reduce costs and energy consumption while creating added value by valorising waste. Full article
(This article belongs to the Special Issue Recovery of Bioactive Compounds from Waste and By-Products)
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<p>The natural dyeing procedure applied to wool fibres.</p>
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<p>Berger whiteness index after different bleaching treatments: w—water; cbp—cysteine and betaine + pepsin; cbHCl—cysteine and betaine + HCl; cl—cysteine and lysine; l—lysine; bp—betaine and pepsin; bHCl—betaine and HCl; c—cysteine.</p>
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<p>Berger whiteness index for different quantities of treated wool fibres under magnetic stirring: w—water; cbp—cysteine and betaine + pepsin; cbHCl—cysteine and betaine + HCl; cl—cysteine and lysine; l—lysine; bp—betaine and pepsin; bHCl—betaine and HCl; c—cysteine.</p>
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<p>Berger whiteness index of wool fibres treated with different peptidic and aminoacidic solutions: w—water; GoxbpHCl—oxidised glutathione, betaine + HCl and betaine + pepsin; GredbpHCl—reduced glutathione, betaine + HCl and betaine + pepsin; cbp—cysteine and betaine + pepsin; cbHCl—cysteine and betaine + HCl; cl—cysteine and lysine; Goxl—oxidised glutathione and lysine; Gredl—reduced glutathione and lysine; l-lysine; Goxbp—oxidised glutathione and betaine + pepsin; GoxHCl—oxidised glutathione and betaine + HCl; Gredbp-reduced glutathione and betaine + pepsin; GredHCl—reduced glutathione and betaine + HCl; bp-betaine + pepsin; bHCl-betaine + HCl; Gox—oxidised glutathione; Gred—reduced glutathione; <b>c</b>—cysteine.</p>
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<p>Perspiration colourfastness values were evaluated using the grey scale for colour differences: pm—fibres dyed with pepper and mordant; om—fibres dyed with onion and mordant; cm—fibres dyed with red cabbage and mordant; p—fibres dyed with pepper without mordant; o—fibres dyed with onion without mordant; c—fibres dyed with red cabbage without mordant.</p>
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<p>Accelerated laundering colourfastness values were evaluated using the grey scale for colour differences: pm—fibres dyed with pepper and mordant; om—fibres dyed with onion and mordant; cm—fibres dyed with red cabbage and mordant; p—fibres dyed with pepper without mordant; o—fibres dyed with onion without mordant; c—fibres dyed with red cabbage without mordant.</p>
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<p>Accelerated laundering colourfastness values were evaluated using the staining grade for colour differences evaluation: pm—fibres dyed with pepper and mordant; om—fibres dyed with onion and mordant; cm—fibres dyed with red cabbage and mordant; p—fibres dyed with pepper without mordant; o—fibres dyed with onion without mordant; c—fibres dyed with red cabbage without mordant.</p>
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<p>Colour strength was determined for all dyeing treatments used: pml—long wool fibres dyed with pepper and mordant; pl—long wool fibres dyed with pepper without mordant; pms—cut wool fibres dyed with pepper and mordant; ps—cut wool fibres dyed with pepper without mordant; oml—long wool fibres dyed with onion and mordant; ol—long wool fibres dyed with onion without mordant; oms—cut wool fibres dyed with onion and mordant; os—cut wool fibres dyed with onion without mordant; cml—long wool fibres dyed with red cabbage and mordant; cl—long wool fibres dyed with red cabbage without mordant; cms—cut wool fibres dyed with red cabbage and mordant; cs—cut wool fibres dyed with red cabbage without mordant.</p>
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20 pages, 3401 KiB  
Article
Starch-Based Functional Films Enhanced with Bacterial Nanocellulose for Smart Packaging: Physicochemical Properties, pH Sensitivity and Colorimetric Response
by Sanja Mahović Poljaček, Tamara Tomašegović, Maja Strižić Jakovljević, Sonja Jamnicki Hanzer, Ivana Murković Steinberg, Iva Žuvić, Mirela Leskovac, Gregor Lavrič, Urška Kavčič and Igor Karlovits
Polymers 2024, 16(16), 2259; https://doi.org/10.3390/polym16162259 - 9 Aug 2024
Cited by 1 | Viewed by 1804
Abstract
Starch-based pH-sensing films with bacterial nanocellulose (BNC) and red cabbage anthocyanins (RCA) as active components were investigated in this research. Their structural, physical, surface and colorimetric properties were analyzed, mainly as a function of BNC concentration. The aim of the research was to [...] Read more.
Starch-based pH-sensing films with bacterial nanocellulose (BNC) and red cabbage anthocyanins (RCA) as active components were investigated in this research. Their structural, physical, surface and colorimetric properties were analyzed, mainly as a function of BNC concentration. The aim of the research was to relate the changes in the intermolecular interactions between the components of the films (starch, anthocyanins and BNC) to the physical, surface and colorimetric properties that are important for the primary intended application of the produced films as pH indicators in smart packaging. The results showed that maize starch (MS) was more suitable as a matrix for the stabilization of anthocyanins compared to potato starch (PS). PS-based films showed a lower value of water contact angle than MS-based films, indicating stronger hydrophilicity. The swelling behavior results indicate that the concentrations of BNC in MS-based films (cca 10%) and the concentration of about 50% BNC in PS-based films are required if satisfactory properties of the indicator in terms of stability in a wet environment are to be achieved. The surface free energy results of PS-based films with BNC were between 62 and 68 mJ/m2 and with BNC and RCA between 64 and 68 mJ/m2; for MS-based films, the value was about 65 mJ/m2 for all samples with BNC and about 68 mJ/m2 for all samples with BNC and RCA. The visual color changes after immersion in different buffer solutions (pH 2.0–10.5) showed a gradual transition from red/pink to purple, blue and green for the observed samples. Films immersed in different buffers showed lower values of 2 to 10 lightness points (CIE L*) for PS-based films and 10 to 30 lightness points for MS-based films after the addition of BNC. The results of this research can make an important contribution to defining the influence of intermolecular interactions and structural changes on the physical, surface and colorimetric properties of bio-based pH indicators used in smart packaging applications. Full article
(This article belongs to the Special Issue Sustainable Polymers for Value Added and Functional Packaging)
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<p>UV–Vis absorption spectra of red cabbage samples.</p>
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<p>FTIR–ATR spectra of MS-based films without and with BNC and RCA.</p>
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<p>FTIR–ATR spectra of PS-based films without and with BNC and RCA.</p>
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<p>Water contact angle on starch-based films without and with RCA as a function of the BNC concentration.</p>
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<p>Swelling dynamics of MS-based films: (<b>a</b>) without RCA and (<b>b</b>) with RCA.</p>
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<p>Weight loss of films after swelling: (<b>a</b>) PS-based films and (<b>b</b>) MS-based films.</p>
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<p>Surface free energy components of PS-based films: (<b>a</b>) with BNC and without RCA and (<b>b</b>) with BNC and RCA.</p>
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<p>Surface free energy components of MS-based films: (<b>a</b>) with BNC and without RCA and (<b>b</b>) with BNC and RCA.</p>
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<p>Visual color changes of films at different pH values (2.0–10.5): (<b>a</b>) PS_0BNC_RCA and (<b>b</b>) PS_50BNC_RCA.</p>
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<p>Visual color changes of films at different pH values (2.0–10.5): (<b>a</b>) MS_0BNC_RCA and (<b>b</b>) MS_50BNC_RCA.</p>
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<p>Lightness (L*) of PS_0BNC_RCA and PS_50BNC_RCA films at different pH values (2.0–10.5).</p>
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<p>Lightness (L*) of MS_0BNC_RCA and MS_50BNC_RCA films at different pH values (2.0–10.5).</p>
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<p>CIE a*/b* diagrams for films at different pH values (2.0–10.5): (<b>a</b>) PS_0BNC_RCA and (<b>b</b>) PS_50BNC_RCA.</p>
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<p>CIE a*/b* diagrams for films at different pH values (2.0–10.5): (<b>a</b>) MS_0BNC_RCA and (<b>b</b>) MS_50BNC_RCA.</p>
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14 pages, 1075 KiB  
Article
Integrating Aquaponics with Macrobrachium amazonicum (Palaemonidae: Decapoda) Cultivation for the Production of Microgreens: A Sustainable Approach
by Sávio L. M. Guerreiro, João Francisco Garcez Cabral Júnior, Bruno J. C. F. Eiras, Bruna dos Santos Miranda, Priscila Caroline Alves Lopes, Nuno Filipe Alves Correia de Melo, Ronald Kennedy Luz, Fábio Carneiro Sterzelecki and Glauber David Almeida Palheta
AgriEngineering 2024, 6(3), 2718-2731; https://doi.org/10.3390/agriengineering6030158 - 7 Aug 2024
Viewed by 1144
Abstract
The use of aquaponic systems has grown in recent years, but few of these systems have integrated the production of prawns and short-cycle vegetables. This study evaluated the potential for producing microgreens (beet, amaranth, arugula, and red cabbage) integrated with Amazon River prawns [...] Read more.
The use of aquaponic systems has grown in recent years, but few of these systems have integrated the production of prawns and short-cycle vegetables. This study evaluated the potential for producing microgreens (beet, amaranth, arugula, and red cabbage) integrated with Amazon River prawns (Macrobrachium amazonicum) in an aquaponic system. Four seeding densities (5, 10, 15, or 20 seeds/cell) were assessed in two treatments: one using prawn wastewater and the other using plain dechlorinated water (control). Water quality, prawn growth performance, and microgreen productivity were monitored over 13 days, revealing optimal conditions for both prawns and microgreens in the aquaponic system. Amaranthus paniculatus yielded 374.00 g/m2 in prawn wastewater compared to 231.34 g/m2 in the control, while Beta vulgaris produced 1734.39 g/m2 in wastewater versus 1127.69 g/m2 in the control. Similarly, Brassica oleracea (2180.69 g/m2) and Eruca sativa (2109.46 g/m2) had higher yields in the prawn aquaponics system. These findings demonstrate that integrating prawn cultivation in aquaponic systems significantly enhances microgreen production compared to traditional methods. This integrated approach not only improves yields but also offers a more sustainable production model. Significant variation in productivity and growth metrics among species treatments underscores the viability and need for more systematic aquaponic procedures. Full article
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<p>Diagram of the aquaponic system used in the present study, showing two of the production units (of the total of four), each with an independent water recirculation system. In each unit, water from a 1000 L prawn tank (1) flows into a 100 L settling tank (2), from which it is pumped into a 100 L equalizing tank (3) to supply the 150 L, 128 cell floating tray (4). Produced in Sketchup 2022 Pro version.</p>
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<p>Water quality parameters in control (dechlorinated water) and treatment (<span class="html-italic">M. amazonicum</span> wastewater) groups of the aquaponic system. Graphs show average values of temperature, dissolved oxygen, pH, and electrical conductivity during the experiment.</p>
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16 pages, 4005 KiB  
Article
Development of a Sensitive Colorimetric Indicator for Detecting Beef Spoilage in Smart Packaging
by Dariush Karimi Alavijeh, Bentolhoda Heli and Abdellah Ajji
Sensors 2024, 24(12), 3939; https://doi.org/10.3390/s24123939 - 18 Jun 2024
Cited by 3 | Viewed by 1741
Abstract
This study aimed to fabricate and characterize a novel colorimetric indicator designed to detect ammonia (NH3) and monitor meat freshness. The sensing platform was constructed using electrospun nanofibers made from polylactic acid (PLA), which were then impregnated with anthocyanins as a [...] Read more.
This study aimed to fabricate and characterize a novel colorimetric indicator designed to detect ammonia (NH3) and monitor meat freshness. The sensing platform was constructed using electrospun nanofibers made from polylactic acid (PLA), which were then impregnated with anthocyanins as a natural pH-sensitive dye, extracted from red cabbage. This research involved investigating the relationship between the various concentrations of anthocyanins and the colorimetric platform’s efficiency when exposed to ammonia vapor. Scanning electron microscope (SEM) results were used to examine the morphology and structure of the nanofiber mats before and after the dip-coating process. The study also delved into the selectivity of the indicator when exposed to various volatile organic compounds (VOCs) and their stability under extreme humidity levels. Furthermore, the platform’s sensitivity was evaluated as it encountered ammonia (NH3) in concentrations ranging from 1 to 100 ppm, with varying dye concentrations. The developed indicator demonstrated an exceptional detection limit of 1 ppm of MH3 within just 30 min, making it highly sensitive to subtle changes in gas concentration. The indicator proved effective in assessing meat freshness by detecting spoilage levels in beef over time. It reliably identified spoilage after 10 h and 7 days, corresponding to bacterial growth thresholds (107 CFU/mL), both at room temperature and in refrigerated environments, respectively. With its simple visual detection mechanism, the platform offered a straightforward and user-friendly solution for consumers and industry professionals alike to monitor packaged beef freshness, enhancing food safety and quality assurance. Full article
(This article belongs to the Section Chemical Sensors)
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<p>Schematic of electrospinning.</p>
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<p>SEM images of (<b>a</b>) electrospun PLA nanofibers, (<b>b</b>) the anthocyanin-impregnated PLA sample.</p>
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<p>Selectivity of the indicator toward different VOCs.</p>
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<p>Optical images of indicators impregnated with various concentrations of anthocyanin before and after exposure to moisture (100% relative humidity).</p>
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<p>The response of indicators with varying anthocyanin concentrations (570 µg/mL, 57 µg/mL, and 5.7 µg/mL) after 60 min exposure to ammonia, including optical images of indicators captured at different NH<sub>3</sub> concentrations ranging from 1 to 100 ppm, and the corresponding calibration curves between ammonia concentrations and the changes in color of the indicators (ΔRGB).</p>
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<p>The variation in ΔRGB of the indicator with a dye concentration of 570 µg/mL, along with optical images of the indicator at various NH<sub>3</sub> concentrations (ranging from 1 to 100 ppm) over 60 min.</p>
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<p>The variation in ΔRGB of the indicator with a dye concentration of 57 µg/mL, along with optical images of the indicator at various NH<sub>3</sub> concentrations (ranging from 1 to 100 ppm) over 60 min.</p>
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<p>The variation in ΔRGB of the indicator with a dye concentration of 5.7 µg/mL, along with optical images of the indicator at various NH<sub>3</sub> concentrations (ranging from 1 to 100 ppm) over 60 min.</p>
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<p>Colorimetric analysis, optical image, and bacterial growth during beef spoilage at (<b>a</b>) room temperature (23 °C) over 24 h and (<b>b</b>) 4 °C over 9 days.</p>
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<p>Colorimetric analysis, optical image, and bacterial growth during beef spoilage at (<b>a</b>) room temperature (23 °C) over 24 h and (<b>b</b>) 4 °C over 9 days.</p>
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16 pages, 519 KiB  
Article
Unraveling the In Vitro Anti-Advanced Glycation End-Product (Anti-AGE) Potential of Fermented Red Cabbage and Beetroot: Insights into Composition and Activities
by Małgorzata Starowicz, Natalia Płatosz, Natalia Bączek, Dorota Szawara-Nowak, Kristýna Šimková and Wiesław Wiczkowski
Foods 2024, 13(12), 1791; https://doi.org/10.3390/foods13121791 - 7 Jun 2024
Viewed by 1655
Abstract
This study verified the in vitro activity of red cabbage and beetroot against the formation of advanced glycation end-products (AGEs) and their relationship with the biomolecules’ content. Fermentation of cabbage increased the total phenolic (~10%) and flavonoid contents (~14%), whereas decreased total phenolics/flavonoids [...] Read more.
This study verified the in vitro activity of red cabbage and beetroot against the formation of advanced glycation end-products (AGEs) and their relationship with the biomolecules’ content. Fermentation of cabbage increased the total phenolic (~10%) and flavonoid contents (~14%), whereas decreased total phenolics/flavonoids in beetroot. Fermented cabbage exhibited higher ability against AGEs, i.e., 17% in the bovine serum albumin–methylglyoxal (BSA-MGO) model and 25% in the BSA–glucose model, while beetroot exhibited 23% and 18%, respectively. The major compounds of cabbage products were cyanidin 3-(sinapoyl)(sinapoyl)-diglucoside-5-glucoside, sinapic acid, and epicatechin. Syringic acid and epicatechin were predominantly present in fermented beetroot. 2,17-bidecarboxy- and 2,15,17-tridecarboxy-betanin were the major betalains. Fermented vegetables can be effective inhibitors of the AGE formation/accumulation and could be recommended in the prevention of diet-related diseases. Full article
(This article belongs to the Special Issue Plant-Based Food:From Nutritional Value to Health Benefits)
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<p>Anti-glycation properties of fresh and fermented red cabbage (<b>a</b>) fresh and (<b>b</b>) fermented red beetroot. Two model systems were of bovine serum albumin with methylglyoxal (BSA-MGO) and BSA with glucose (BSA–glucose). Bars followed by the same letter, calculated for each model system separately, were not significantly different (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s test.</p>
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19 pages, 4380 KiB  
Article
Development of pH Indicator Composite Films Based on Anthocyanins and Neutral Red for Monitoring Minced Meat and Fish in Modified Gas Atmosphere (MAP)
by Marwa Faisal, Tomas Jacobson, Lene Meineret, Peter Vorup, Heloisa N. Bordallo, Jacob Judas Kain Kirkensgaard, Peter Ulvskov and Andreas Blennow
Coatings 2024, 14(6), 725; https://doi.org/10.3390/coatings14060725 - 6 Jun 2024
Cited by 1 | Viewed by 1768
Abstract
Fresh meat and fish are widely consumed foods with short and very short shelf lives, respectively. Efficient supply chains and the judicious use of food packaging are the most effective means of extending shelf life and thus reducing food waste and improving food [...] Read more.
Fresh meat and fish are widely consumed foods with short and very short shelf lives, respectively. Efficient supply chains and the judicious use of food packaging are the most effective means of extending shelf life and thus reducing food waste and improving food safety. Food packaging that allows for the use of a modified atmosphere (MAP) is effective in extending the period where the food is both palatable and safe. However, monitoring the state of aging and the onset of spoilage of the product poses challenges. Microbial counts, pH measurements, and sensory evaluations are all informative but destructive and are therefore only useful for monitoring quality via sampling. More attractive would be a technology that can follow the progress of ageing in an individual product while leaving the food packaging intact. Here, we present a pH indicator to be placed inside each package that may be read by the naked eye. It is a colorimetric indicator with a matrix made of pure amylose (AM; 99% linear α-glucans) and cellulose nanofibers (CNFs). Suitable mechanical properties of films cast of the two polysaccharides were achieved via the optimization of the blending ratio. The films were loaded with either of two pH indicators: anthocyanin extracts from red cabbage (RCA) and the synthetic dye neutral red (NR). Mechanical, thermal, permeability, microstructural, and physical properties were tested for all composite films. Films with 35% CNF (35AC-RCA) and (35AC-NR) were selected for further study. Minced meat was packaged under MAP conditions (70% O2 + 30% CO2), while minced fish was packaged under MAP (70% N2 + 30% CO2) and stored at 5 °C for 20 days. Microbial growth, pH, and sensory scores of the minced meat systems differentiated between fresh (0–6 days) and medium-fresh (7–10 days), and minced fish between fresh (0–10 days) and medium-fresh (11–20 days). The total color difference showed that the RCA indicator was able to differentiate between fresh (red) and medium-fresh (pink-red) minced meat, while for minced fish, this indicator discriminated between three stages: fresh (red), medium-fresh (pink-red), and spoiled (pink-blue). The NR indicator failed to discriminate the freshness of either meat or fish under the effect of MAP. Pearson correlation statistical models showed a correlation between color change of the indicator, pH, content of gases, and gas content. In summary, RCA immobilized in an AM + 35% CNF nanocomposite film can monitor the freshness of packaged minced meat/fish under the effect of MAP via color change that may be evaluated with the naked eye. Full article
(This article belongs to the Special Issue Novel Advances in Food Contact Materials)
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<p>(<b>a</b>) Minced fish samples with gas mixture (30% CO<sub>2</sub> and 70% N<sub>2</sub>); (<b>b</b>) minced meat samples with gas mixture (30% CO<sub>2</sub> + 70% O<sub>2</sub>).</p>
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<p>Control samples preparation. (<b>a</b>) sterilized wet cotton samples; indicator films added and packaged under MAP gas mixtures of, (<b>b</b>) 30% CO<sub>2</sub> and 70% N<sub>2</sub>, (<b>c</b>) 30% CO<sub>2</sub> + 70% O<sub>2</sub>.</p>
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<p>FTIR curves of (<b>a</b>) AM-RCA composite films and (<b>b</b>) AM-NR composite films.</p>
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<p>WAXS curves of composite indicators. (<b>a</b>) AM-RCA with different CNF compositions; (<b>b</b>) AM-NR with different CNF compositions.</p>
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<p>Thermograms: (<b>a</b>) TGA and DTG curves of AM-RCA matrix and its composite films with CNFs; (<b>b</b>) TGA and DTG curves of AM-NR matrix and its composites with CNFs.</p>
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<p>The mechanical properties of AM-RCA, AM-NR, and the composite films. Different letters represent statistical differences (<span class="html-italic">p</span> ≤ 0.05) n = 3.</p>
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<p>Light transmittance curves: (<b>a</b>) RCA composite films; (<b>b</b>) NR composite films.</p>
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<p>SEM of cross-sections of (<b>a</b>) AM-RCA, (<b>b</b>) 5AC-RCA, (<b>c</b>) 10AC-RCA, (<b>d</b>) 15AC-RCA, (<b>e</b>) 25AC-RCA, (<b>f</b>) 35AC-RCA, (<b>g</b>) AM-NR, (<b>h</b>) 5AC-NR, (<b>i</b>) 10AC-NR, (<b>j</b>) 15AC-NR, (<b>k</b>) 25AC-NR, and (<b>l</b>) 35AC-NR.</p>
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<p>RCA and NR indicator film color changes in MAP samples.</p>
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<p>∆E and pH of RCA and NR indicator film color changes in MAP samples.</p>
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21 pages, 3291 KiB  
Article
Influence of Agro-Industrial Waste Composts on Soil Characteristics, Growth Dynamics, and Yield of Red Cabbage and Broccoli
by Angela Maffia, Federica Marra, Santo Battaglia, Mariateresa Oliva, Carmelo Mallamaci and Adele Muscolo
Soil Syst. 2024, 8(2), 53; https://doi.org/10.3390/soilsystems8020053 - 15 May 2024
Cited by 2 | Viewed by 2145
Abstract
In this work, environmentally sound technologies for converting organic wastes into fertilizers to improve soil sustainability and crop yield have been identified and assessed. Wet wastes were combined with 50% wood sawdust and 50% wet wastes (Compost 1) or (10% Straw + 90% [...] Read more.
In this work, environmentally sound technologies for converting organic wastes into fertilizers to improve soil sustainability and crop yield have been identified and assessed. Wet wastes were combined with 50% wood sawdust and 50% wet wastes (Compost 1) or (10% Straw + 90% wet wastes) (Compost 2) to produce soil improvers with a balanced level of nutrients, and their effectiveness on soil ecosystem functioning have been tested and compared to horse manure (HM) and nitrogen–phosphorous–potassium (NPK) fertilizers. Unfertilized soil was used as a control. Soil chemical and biological properties have been detected after the harvesting of broccoli and red cabbage (90 days from the initial treatments). Three independent experiments have been conducted in an open field in a randomized complete block design with three replications (n = 9). The results showed that Compost 1 had the highest C/N ratio and cation exchange capacity (CEC), indicating a better humification of the wet material. Compost 1, even if it contained a minor amount of organic carbon, as well as less activity of fluorescein diacetate (FDA) and dehydrogenase (DHA) than Compost 2, was the most effective in improving soil quality, significantly increasing the labile fraction of organic matter, the oxidative enzyme (DHA), microbial biomass, and crop yield. Both composts increased crop productivity. Full article
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<p>Cation concentration (mgL<sup>−1</sup>) (<b>a</b>) and anion concentration (mgL<sup>−1</sup>) (<b>b</b>) detected in Compost 1 (50% wood sawdust + 50% wet wastes) and Compost 2 (10% Straw + 90% wet wastes) 120 days after the composting process at the end of the composting process. Different letters indicate significant differences (Turkey’s test <span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Fluorescein diacetate hydrolase (FDA, µg fluorescein g<sup>−1</sup> d.w.), dehydrogenase (DHA, µg TTF g<sup>−1</sup> h<sup>−1</sup>d.w.), cation exchange capacity (CEC, cmol<sup>(+)</sup> Kg<sup>−1</sup>) detected in Compost 1 (50% wood sawdust + 50% wet wastes) and Compost 2 (10% Straw + 90% wet wastes) 120 days after the composting process. Different letters indicate significant differences (Turkey’s test <span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Germination index in Compost 1 (50% wood sawdust + 50% wet wastes) and Compost 2 (10% Straw + 90% wet wastes) 120 days after the composting process.</p>
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<p>Principal component analyses of ions and cations soil with broccoli (<b>a</b>) and red cabbage (<b>b</b>). CTR (Control) soil without fertilizer; NPK = nitrogen–phosphorous–potassium; HM = horse manure; C1 50% wood sawdust + 50% wet wastes, C2 10% straw and 90% wet wastes.</p>
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<p>Principal component analyses of chemical and biochemical properties of soil located in Motta San Giovanni before fertilization. CTR (control) soil without fertilizer; NPK = nitrogen–phosphorous–potassium; HM = horse manure; C1 50% wood sawdust + 50% wet wastes, C2 10% straw and 90% wet wastes.</p>
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<p>Bioaccumulation factor of red cabbage (<b>a</b>) and broccoli (<b>b</b>) grown in not-amended soil (control, CTR), NPK = nitrogen–phosphorous–potassium; HM = horse manure; C1 50% wood sawdust + 50% wet wastes, C2 10% Straw + 90% wet wastes. Values are expressed as micrograms and are the mean of three replicates (n = 15) with errors standard.</p>
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<p>PCA of ions and cations of red cabbage (<b>a</b>) and broccoli (<b>b</b>) grown in not-amended soil (control, CTR), NPK = nitrogen–phosphorous–potassium; HM = horse manure; C1 50% wood sawdust + 50% wet wastes, C2 10% Straw + 90% wet wastes.</p>
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<p>Principal component analyses of the content of chlorophyll a (Chl a, mg 100 g<sup>−1</sup>FW), chlorophyll b (Chl b, mg 100 g<sup>−1</sup>FW), total chlorophyll (TChl, mg 100 g<sup>−1</sup>FW), chlorophyll a/chlorophyll b (Chl a/Chl b) and photosynthetic parameters (FV, Fm, Y(NPQ), Y(NO), and ETR are expressed as µmol m<sup>−2</sup> s<sup>−1</sup>), in leaves of red cabbage (<b>a</b>) and broccoli (<b>b</b>) grown in not-amended soil (control, CTR), NPK = nitrogen–phosphorous–potassium; HM = horse manure; C1 50% wood sawdust + 50% wet wastes, C2 10% Straw + 90% wet wastes.</p>
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12 pages, 8511 KiB  
Article
Preliminary Study on the Effect of Artificial Lighting on the Production of Basil, Mustard, and Red Cabbage Seedlings
by Bruna Maran, Wendel Paulo Silvestre and Gabriel Fernandes Pauletti
AgriEngineering 2024, 6(2), 1043-1054; https://doi.org/10.3390/agriengineering6020060 - 16 Apr 2024
Cited by 1 | Viewed by 1079
Abstract
The use of artificial lighting in a total or supplementary way is a current trend, with growing interest due to the increase in the global population and climate change, which require high-yield, quality, and fast-growing crops with less water and a smaller carbon [...] Read more.
The use of artificial lighting in a total or supplementary way is a current trend, with growing interest due to the increase in the global population and climate change, which require high-yield, quality, and fast-growing crops with less water and a smaller carbon footprint. This experiment aimed to evaluate the effect of light-emitting diode (LED) lighting on the production of basil, mustard, and red cabbage seedlings under controlled artificial conditions and in a greenhouse as a supplementary lighting regime. Under controlled conditions, the experiment was conducted with basil seedlings, comparing LED light with two wavelengths (purple and white light). In a greenhouse, mustard and red cabbage seedlings were evaluated under natural light (regular photoperiod) and with supplementary purple lighting of 3 h added to the photoperiod. The variables assessed were aerial fresh mass (AFM), aerial dry mass (ADM), root dry mass (RDM), plant length (PL), and leaf area (LA). Basil seedlings grown under purple light showed greater length and AFM than those grown under white light, with no effect on the production of secondary metabolites. In the greenhouse experiment, red cabbage seedlings showed an increase in AFM, ADM, and DRM with light supplementation, with no effect on LA. AFM showed no statistical difference in mustard seedlings, but the productive parameters LA, ADM, and DRM were higher with supplementation. None of the evaluated treatments influenced the production of phenolic compounds and flavonoids in the three species evaluated. Light supplementation affected red cabbage and mustard seedlings differently, promoting better development in some production parameters without affecting the production of phenolic compounds and flavonoids in either plant. Thus, light supplementation or artificial lighting can be considered a tool to enhance and accelerate the growth of seedlings, increasing productivity and maintaining the quality of the secondary metabolites evaluated. Thus, this technology can reduce operational costs, enable cultivation in periods of low natural light and photoperiod, and cultivate tropical species in temperate environments in completely artificial (indoor) conditions. Full article
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<p>Experimental setup for the experiments with basil seedlings in controlled conditions and exposed to different wavelengths. (<b>A</b>) Seedlings seven days after sowing; (<b>B</b>) seedlings at collection time, 27 days after sowing. Caxias do Sul, 2023.</p>
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<p>Experimental setup for the greenhouse experiments with mustard and red cabbage seedlings. (<b>A</b>) Experiment on the sowing day. (<b>B</b>) Aspect of seedlings at the end of the experiment, 27 days after sowing. Caxias do Sul, 2023.</p>
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<p>Images of the aerial part of basil seedlings (<span class="html-italic">Ocimum basilicum</span> L.) grown under artificial LED lighting in purple ((<b>A</b>)—87.5 % red—670 nm + 12.5 % blue—430 nm) and white light ((<b>B</b>)—40 % red—670 nm + 10 % blue—430 nm + 50 % green—530 nm), 27 days after sowing. Caxias do Sul, 2023.</p>
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<p>Images of the root and aerial parts of red cabbage (<span class="html-italic">Brassica oleracea</span>) and mustard (<span class="html-italic">Brassica juncea</span>) seedlings grown under natural light (T1) and with purple LED light (T2—87.5 % red—670 nm + 12.5 % blue—430 nm) supplementation for 3 h daily, 27 days after sowing. Caxias do Sul, 2023.</p>
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21 pages, 1488 KiB  
Article
Health-Promoting Properties of Processed Red Cabbage (Brassica oleracea var. capitata f. rubra): Effects of Drying Methods on Bio-Compound Retention
by Nicol Mejías, Antonio Vega-Galvez, Luis S. Gomez-Perez, Alexis Pasten, Elsa Uribe, Anielka Cortés, Gabriela Valenzuela-Barra, Javiera Camus, Carla Delporte and Giuliano Bernal
Foods 2024, 13(6), 830; https://doi.org/10.3390/foods13060830 - 8 Mar 2024
Cited by 4 | Viewed by 2747
Abstract
The aim of this work is to describe the effect of convective drying (CD), vacuum drying (VD), infrared drying (IRD), low-temperature vacuum drying (LTVD) and freeze drying (FD) on bio-compound retention of red cabbage and its beneficial health properties. The total phenolics content [...] Read more.
The aim of this work is to describe the effect of convective drying (CD), vacuum drying (VD), infrared drying (IRD), low-temperature vacuum drying (LTVD) and freeze drying (FD) on bio-compound retention of red cabbage and its beneficial health properties. The total phenolics content (TPC), flavonoids (TFC), anthocyanin (TAC) and glucosinolates (TGC) were determined by spectrophotometry. The profiles of phenolic acids, amino acids and fatty acids were determined by HPLC-UV-DAD, LC-DAD and GC-FID, respectively. Antioxidant potential was verified by DPPH and ORAC assays. The antiproliferative activity was measured in the human gastric cell line (AGS). Anti-inflammatory activity was evaluated by phorbol 12-myristate 13-acetate and arachidonic acid models. VD showed high values of TPC = 11.89 ± 0.28 mg GAE/g d.m.; TFC = 11.30 ± 0.9 mg QE/g d.m.; TAC = 0.265 ± 0.01 mg Cya3glu/g d.m.; and TGC = 51.15 ± 3.31 µmol SE/g d.m. Caffeic acid, ferulic acid and sinapic acid were identified. The predominant amino acid and fatty acid were glutamic acid and γ–linolenic acid, respectively. The antioxidant potential was dependent on drying methods for both DPPH and ORAC assays. Dried red cabbage extracts showed clear anti-inflammatory and antiproliferative activity. The dehydration process is an alternative for the retention of bio-compounds and health-promoting properties of red cabbage. Full article
(This article belongs to the Special Issue Valorisation Opportunities for Specialty Crops and Its Co-products)
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Graphical abstract

Graphical abstract
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<p>Antioxidant activity for samples extracts from fresh-blanched and dehydrated red cabbage. FRESH-B: fresh-blanched; VD: vacuum drying; CD: convective drying; IRD: infrared drying; LTVD: low-temperature vacuum drying; FD: freeze drying. Values are expressed as mean ± standard deviation. (<b>A</b>) is DPPH assay and (<b>B</b>) is ORAC assay. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Anti-inflammatory activity of red cabbage extracts dehydrated by different drying methods. VD: vacuum drying; CD: convective drying; IRD: infrared drying; LTVD: low-temperature vacuum drying; FD: freeze drying. EA<sub>TPA</sub>: topical anti-inflammatory effect against phorbol 12-myristate 13-acetate; EA<sub>AA</sub>: topical anti-inflammatory effect against arachidonic acid. NIM: nimesulide; IND: indomethacin as control medicament. n.d: not determined. An asterisk (*) denotes significant differences (<span class="html-italic">p</span> &lt; 0.05) between samples with respect to the negative control (100% inflammation); n = 8.</p>
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<p>Antiproliferative activity of fresh-b and dehydrated red cabbage extracts (mg/mL) on gastric cancer cells. (<b>A</b>) Fresh-blanched, (<b>B</b>) CD: convective drying, (<b>C</b>) IRD: infrared draying, (<b>D</b>) VD: vacuum drying, (<b>E</b>) LTVD: low-temperature vacuum drying and (<b>F</b>) FD: freeze drying. Control: without red cabbage extract. The statistical analysis of AGS and GES1 was evaluated separately. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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16 pages, 4543 KiB  
Article
Convective Hot Air Drying of Red Cabbage (Brassica oleracea var. Capitata Rubra): Mathematical Modeling, Energy Consumption and Microstructure
by Antonio Vega-Galvez, Luis S. Gomez-Perez, Kong Shun Ah-Hen, Francisca Zepeda, Purificación García-Segovia, Cristina Bilbao-Sainz, Nicol Mejías and Alexis Pasten
Processes 2024, 12(3), 509; https://doi.org/10.3390/pr12030509 - 29 Feb 2024
Cited by 1 | Viewed by 1479
Abstract
This study examined the convective drying of red cabbage at temperatures ranging from 50 to 90 °C. Mathematical modeling was used to describe isotherms, drying kinetics and rehydration process. The effects of drying conditions on energy consumption and microstructure were also evaluated. The [...] Read more.
This study examined the convective drying of red cabbage at temperatures ranging from 50 to 90 °C. Mathematical modeling was used to describe isotherms, drying kinetics and rehydration process. The effects of drying conditions on energy consumption and microstructure were also evaluated. The Halsey model had the best fit to the isotherm data and the equilibrium moisture was determined to be 0.0672, 0.0490, 0 0.0379, 0.0324 and 0.0279 g water/g d.m. at 50, 60, 70, 80 and 90 °C, respectively. Drying kinetics were described most accurately by the Midilli and Kuçuk model. Also, the diffusion coefficient values increased with drying temperature. Lower energy consumption was found for drying at 90 °C and the rehydration process was best described by the Weibull model. Samples dehydrated at 90 °C showed high water holding capacity and better maintenance of microstructure. These results could be used to foster a sustainable drying process for red cabbage. Full article
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<p>(<b>A</b>) Experimental isotherm curves at 50 and 70 °C with the Halsey model predictions. (<b>B</b>) Fit quality of desorption isotherm models.</p>
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<p>(<b>A</b>) Drying kinetics at five different process temperatures and the Midilli and Kucuk model fit. (<b>B</b>) Drying rate as a function of moisture content at different temperatures.</p>
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<p>Diffusion coefficients at different drying temperatures. On the bars, different letters (a, b, c, d and e) indicate significant differences as per Multiple Range Test (MRT) (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Rehydration curves of red cabbage dehydrated at five different process temperatures.</p>
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<p>(<b>A</b>) Total water absorbed at equilibrium time; (<b>B</b>) Water holding capacity (%WHC). On the bars, different letters (a, b and c) indicate significant differences as per Multiple Range Test (MRT) (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Microstructure of rehydrated red cabbage samples dried by convective drying at different process temperatures: (<b>a</b>) fresh; (<b>b</b>) 50 °C; (<b>c</b>) 60 °C; (<b>d</b>) 70 °C; (<b>e</b>) 80 °C and (<b>f</b>) 90 °C. ǀ―ǀ 20 µm.</p>
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