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15 pages, 25223 KiB  
Article
Leaching Characteristics and Mechanisms of Fluorine and Phosphorus from Phosphogypsum
by Wanqiang Dong, Xiangyi Deng, Liqi Chai, Yuefei Zhang, Haodong Chen, Hanjun Wu and Ru’an Chi
Molecules 2025, 30(1), 5; https://doi.org/10.3390/molecules30010005 - 24 Dec 2024
Abstract
As a large-volume industrial solid waste generated during the production of wet-process phosphoric acid, the primary disposal method for phosphogypsum (PG) currently involves centralized stockpiling, which requires substantial land use. Additionally, PG contains impurities, such as phosphorus, fluorine, and alkali metals, that may [...] Read more.
As a large-volume industrial solid waste generated during the production of wet-process phosphoric acid, the primary disposal method for phosphogypsum (PG) currently involves centralized stockpiling, which requires substantial land use. Additionally, PG contains impurities, such as phosphorus, fluorine, and alkali metals, that may pose potential pollution risks to the surrounding environment. However, the mechanisms governing the co-release of phosphorus and fluorine impurities alongside valuable metal cations during leaching remain unclear, posing challenges to efficient disposal and utilization. This study compares the leaching characteristics of cations and anions in PG of different particle sizes through static pH leaching experiments. Using Visual MINTEQ simulation combined with XRD, XPS, and FT-IR characterization methods, we analyzed the leaching mechanisms and key controlling factors for various metal elements and inorganic elements, like phosphorus and fluorine, under different pH conditions. The experimental results show that Ca, Al, Fe, Ti, Ba, Sr, Y, and PO43− in PG are more easily released under acidic conditions, while Si, Zn, Co, and F are primarily influenced by the content of soluble components. The dynamic “dissolution–crystallization” reaction of CaSO4·H2O significantly impacts the leaching of fluorine, and the XRD, XPS, and FT-IR characterization results confirm the presence of this reaction during the leaching process. This research provides theoretical guidance for the environmental risk assessment of stockpiled PG and the recovery of phosphorus, fluorine, and valuable metal resources from PG. Full article
(This article belongs to the Section Inorganic Chemistry)
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<p>Particle size analysis of the PG samples. (<b>a</b>) statistical particle size distribution; (<b>b</b>) sieve particle size distribution.</p>
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<p>Chemical composition of PG at various particle sizes: (<b>a</b>) chemical element content at different particle sizes; (<b>b</b>) element distribution in different PG particle sizes.</p>
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<p>Leaching quantities of metal elements in PG leachate subjected to various pH conditions.</p>
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<p>Leaching quantities of metal elements in PG leachate subjected to various pH conditions.</p>
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<p>Leaching rate of metal elements in PG leachate under different pH conditions.</p>
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<p>Leaching quantity of anions in PG leachate subjected to various pH conditions (<b>a</b>) F<sup>−</sup>, (<b>b</b>) Cl<sup>−</sup>, (<b>c</b>) PO4<sup>3−</sup>, (<b>d</b>) NO<sub>3</sub><sup>−</sup>, and (<b>e</b>) SO<sub>4</sub><sup>2−</sup>.</p>
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<p>Anion leaching rates in PG static leachate in the presence of various pH conditions: (<b>a</b>) F<sup>−</sup>, (<b>b</b>) PO<sub>4</sub><sup>3−</sup>, and (<b>c</b>) SO<sub>4</sub><sup>2−</sup>.</p>
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<p>Speciation diagram of soluble phosphorus and fluorine subjected to various pH conditions. (<b>a</b>) pH phase diagram of water-soluble phosphorus; (<b>b</b>) pH phase diagram of water-soluble fluoride.</p>
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<p>Simulation results of variations in species in the PG leachate. (<b>a</b>) P; (<b>b</b>) F; (<b>c</b>) SO<sub>4</sub><sup>2−</sup>; (<b>d</b>) Ca; (<b>e</b>) Al; (<b>f</b>) Si; (<b>g</b>) Fe; (<b>h</b>) Mg; (<b>i</b>) K.</p>
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<p>Variations in the SI species in the PG leachate. (<b>a</b>) typical fluoride species; (<b>b</b>) calcium phosphate species; (<b>c</b>) Yttrium metal salt species.</p>
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<p>Contents of various phosphorus forms in PG before and after static leaching.</p>
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<p>FTIR analysis spectra of various PG samples.</p>
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<p>XPS survey spectra of leached samples under different pH conditions.</p>
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<p>Peak fitting spectra of XPS for the static leaching samples: (<b>a</b>) Al 2p peak fitting spectrum, (<b>b</b>) P 2p peak fitting spectrum, and (<b>c</b>) F1s: peak fitting spectrum.</p>
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17 pages, 2623 KiB  
Article
The Effect of the Cultivar and Process Parameters on Quality and Biologically Active Compounds Content in Impregnated Carrot Tissue
by Elżbieta Radziejewska-Kubzdela, Róża Biegańska-Marecik, Justyna Szadzińska, Tomasz Spiżewski, Bartosz Gapiński, Angelika Kowiel and Dominik Mierzwa
Appl. Sci. 2024, 14(24), 11984; https://doi.org/10.3390/app142411984 - 21 Dec 2024
Viewed by 253
Abstract
Vacuum impregnation (VI) allows soluble solids to be introduced into the porous matrix of a food material, modifying the composition of the tissue to facilitate further processing. The purpose of this research was to analyze the influence of pressure on the effectiveness of [...] Read more.
Vacuum impregnation (VI) allows soluble solids to be introduced into the porous matrix of a food material, modifying the composition of the tissue to facilitate further processing. The purpose of this research was to analyze the influence of pressure on the effectiveness of VI on a low porous material that is difficult to impregnate. Two cultivars of carrot (Baltimore F1 and Komarno) were subjected to VI at 5 and 30 kPa in a ternary solution of ascorbic acid (0.5%), citric acid (0.5%), and sucrose (8%) under isotonic conditions. The products were analyzed in terms of ascorbic acid content, degree of impregnation, and changes in structure, texture, color, antioxidant activity, phenolic content, carotenoids, and structure-forming compounds. Increases in vitamin C content (after VI) depended on the process conditions and ranged from 900% to 1300% in relation to the raw material. It was also observed that the extended impregnation time at a pressure of 5 kPa produced slices that were also impregnated in parenchyma area. The increased levels of polyphenolic compounds found in the saturated product may suggest that de novo synthesis under the influence of physiological stress had occurred. Full article
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<p>Vacuum impregnation equipment—schema [<a href="#B17-applsci-14-11984" class="html-bibr">17</a>]. Numbers 1 and 4—valves; 2—PT100 temperature probe; 3—vacuum gauge; 5—lid; 6—vacuum chamber; 7—water jacket; 8—vacuum pump; 9—ultrasonic transducers.</p>
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<p>The scheme of the vacuum impregnation of carrot.</p>
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<p>Ascorbic acid content—AAC (<b>a</b>); impregnation degree—ID (<b>b</b>). Mean ± standard deviation. Different letters above the bars show a significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Micro-CT scans of carrot slices: raw (<b>a</b>), impregnated at 5 kPa (<b>b</b>), and at 30 kPa (<b>c</b>). Regions that have been marked with a color other than gray indicate the presence of an air-filled spaces.</p>
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<p>Ion leakage (<span class="html-italic">IL</span>) in impregnated samples. Mean ± standard deviation. The different letters above the bars indicate a significant difference at <span class="html-italic">p</span> &lt; 0.05 for the ANOVA and Tukey post hoc test mean comparisons.</p>
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<p>Color change (<b>a</b>) and whiteness index (<b>b</b>) for raw and processed samples. Mean ± standard deviation. The different letters above the bars indicate a significant difference at <span class="html-italic">p</span> &lt; 0.05 for the ANOVA and Tukey post hoc test mean comparisons.</p>
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15 pages, 517 KiB  
Article
Characterization and Classification of Berry (Aronia, Haskap, and Goji) Fruits with High Bioactive Value Grown in Spain
by María Concepción Ayuso-Yuste, Francisco Javier Cruz Calero, María Ramos García, Noelia Nicolás Barroso, María Belén Ramos Alguijo, María José Rodríguez Gómez and Patricia Calvo Magro
Foods 2024, 13(24), 4122; https://doi.org/10.3390/foods13244122 - 20 Dec 2024
Viewed by 368
Abstract
Aronia, haskap, and goji berries are characterized by their high content of bioactive compounds and their beneficial health properties as well as their resistance to harsh agronomic conditions. In this work, cultivars of these species growing in a mountainous region of central-western Spain [...] Read more.
Aronia, haskap, and goji berries are characterized by their high content of bioactive compounds and their beneficial health properties as well as their resistance to harsh agronomic conditions. In this work, cultivars of these species growing in a mountainous region of central-western Spain were characterized by analyzing physicochemical parameters and bioactive compounds. Goji fruits showed the highest total soluble solid content and the lowest acidity values. The sugar profile suggested that goji cultivars will have a higher sweetness due to higher fructose and glucose content. However, aronia cultivars will be the least sweet due to their high sorbitol content. The total organic acid content was much higher in aronia and haskap than in goji fruits, and the profile varied according to species. The total phenolic content was significantly higher in aronia fruits. A total of 15 phenolic compounds were detected, with anthocyanins being predominant in aronia and haskap berries; however, they were not detected in goji fruits. Nevertheless, carotenoid compounds were found in goji berries and not detected in aronia and haskap fruits. Aronia fruits showed the highest antioxidant capacity compared to haskap and goji fruits. The PCA analysis classified the samples to determine which parameters have the greatest influence. Full article
(This article belongs to the Section Plant Foods)
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<p>Principal component analysis (PCA) plotting components 1 and 2 for the different berry cultivars (A: ‘Nero’, B: ‘Viking’, C: ‘Galicjanka’, D: ‘Blue Velvet’, E: ‘Turgidus’, and F: ‘New Big’). (PC1: 60.03% of total variance; PC2: 27.76% of total variance).</p>
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22 pages, 3844 KiB  
Article
Genetic Analyses of Flower, Fruit, and Stem Traits of Intergeneric Hybrids Between ‘Honghuagqinglong’ and ‘Heilong’ Pitayas
by Xinyue Pu, Imran Khan, Tiantian Zhang, Guohua Huang, Jiayi Chen, Yu Ding, Xuewu Ji, Zhike Zhang, Jietang Zhao, Guibing Hu, Irfan Ali Sabir and Yonghua Qin
Plants 2024, 13(24), 3546; https://doi.org/10.3390/plants13243546 - 19 Dec 2024
Viewed by 260
Abstract
Pitaya is renowned for its delicious taste, high nutritional value, and economic as well as ornamental appeal. Breeding new pitaya varieties can boost economic returns by appealing to consumers with diverse morphological traits. However, the genetic basis underlying key traits in intergeneric hybrids [...] Read more.
Pitaya is renowned for its delicious taste, high nutritional value, and economic as well as ornamental appeal. Breeding new pitaya varieties can boost economic returns by appealing to consumers with diverse morphological traits. However, the genetic basis underlying key traits in intergeneric hybrids of pitaya has yet to be fully understood. This study investigates the genetic dynamics in flower, fruit, and stem traits, including segregation patterns and a mixed inheritance model for major and polygenic traits, in an intergeneric hybridization between ‘Honghuagqinglong’ (HHQL) (Hylocereus stenopterus) and ‘Heilong’ (HL) (Selenicereus grandiflorus). The study identified normal or skewed, normal distribution patterns in seven floral, fifteen fruit, and five stem traits, indicating their quantitative nature governed by multiple genes. Specifically, flower size and color exhibited a hereditary bias towards ‘HL’ characteristics, while ‘HHQL’ significantly influenced the coloration of fruit peel and pulp. Fruit weight and total soluble solids (TSS) content decreased, whereas stem traits exhibited broader and thicker dimensions with fewer thorns. This study offers valuable insights into genetic variation and the influence of major genes on flower, fruit, and stem traits between ‘HHQL’ and ‘HL’ intergeneric hybrids, providing a useful reference for parental selection in pitaya breeding programs. Full article
(This article belongs to the Special Issue Flower Germplasm Resources and Genetic Breeding, 2nd Edition)
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<p>Phenotypes of flower color in F<sub>1</sub> progenies from ‘HHQL’ × ‘HL’ (<b>A</b>) and ‘HL’ × ‘HHQL’ (<b>B</b>) cross combinations. 1, white; 2, pale pink; 3, pink; 4, bicolor; 5, red.</p>
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<p>The stigma traits in F<sub>1</sub> progenies from ‘HHQL’ × ‘HL’ (<b>A</b>) and ‘HL’ × ‘HHQL’ (<b>B</b>) cross combinations. 1, without bifurcates at the end of stigma; 2, with bifurcates at the end of stigma.</p>
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<p>Frequency distribution of ‘HHQL’ × ‘HL’ (<b>A</b>) and ‘HL’ × ‘HHQL’ (<b>B</b>) cross combinations.</p>
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<p>Peel and pulp color of F1 progenies from ‘HHQL’ × ‘HL’ (<b>A</b>) and ‘HHQL’ × ‘HL’ (<b>B</b>) 1, green peel; 2, green–red peel; 3, red–green peel; 4, red peel; 5, white; 6, light pink; 7, pink; 8, red; 9, purple-red.</p>
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<p>Frequency distribution of fruit main traits from ‘HHQL’ × ‘HL’ (<b>A</b>) and ‘HL’ × ‘HHQL’ (<b>B</b>) cross combinations.</p>
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<p>Frequency distribution of fruit main traits from ‘HHQL’ × ‘HL’ (<b>A</b>) and ‘HL’ × ‘HHQL’ (<b>B</b>) cross combinations.</p>
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<p>Frequency distributions of stem traits from ‘HHQL’ × ‘HL’ (<b>A</b>) and ‘HL’ × ‘HHQL’ (<b>B</b>) cross combinations.</p>
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<p>Frequency distributions of stem traits from ‘HHQL’ × ‘HL’ (<b>A</b>) and ‘HL’ × ‘HHQL’ (<b>B</b>) cross combinations.</p>
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<p>Infection degree of canker disease stems from ‘HHQL’ × ‘HL’ (<b>A</b>) and ‘HL’ × ‘HHQL’ (<b>B</b>) cross combinations.</p>
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<p>Correlation analysis of flower and fruit traits from ‘HHQL’ × ‘HL’ (<b>A</b>) and ‘HL’ × ‘HHQL’ (<b>B</b>) cross combinations. Circle sizes and color shade stand for degree of correlation. The lager circle sizes and the darker color mean the more significant degree of correlation.</p>
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17 pages, 5566 KiB  
Article
Hybrid Systems of Oleogels and Probiotic-Loaded Alginate Carriers for Potential Application in Cosmetics
by Anna Łętocha, Małgorzata Miastkowska, Elżbieta Sikora, Alicja Michalczyk, Marta Liszka-Skoczylas and Mariusz Witczak
Molecules 2024, 29(24), 5984; https://doi.org/10.3390/molecules29245984 - 19 Dec 2024
Viewed by 338
Abstract
Oleogels (organogels) are systems resembling a solid substance based on the gelation of organic solvents (oil or non-polar liquid) through components of low molecular weight or oil-soluble polymers. Such compounds are organogelators that produce a thermoreversible three-dimensional gel network that captures liquid organic [...] Read more.
Oleogels (organogels) are systems resembling a solid substance based on the gelation of organic solvents (oil or non-polar liquid) through components of low molecular weight or oil-soluble polymers. Such compounds are organogelators that produce a thermoreversible three-dimensional gel network that captures liquid organic solvents. Oleogels based on natural oils are attracting more attention due to their numerous advantages, such as their unsaturated fatty acid contents, ease of preparation, and safety of use. As a result of the research, two oleogels were developed, into which freeze-dried alginate carriers with a probiotic, L. casei, were incorporated. Two techniques were used to produce probiotic-loaded capsules—extrusion and emulsification. Alginate beads obtained by the extrusion process have a size of approximately 1.2 mm, while much smaller microspheres were obtained using the emulsification technique, ranging in size from 8 to 17 µm. The trehalose was added as a cryoprotectant to improve the survival rate of probiotics in freeze-dried alginate carriers. The encapsulation efficiency for both of the methods applied, the emulsification and the extrusion technique, was high, with levels of 90% and 87%, respectively. The obtained results showed that the production method of probiotic-loaded microspheres influence the bacterial viability. The better strain survival in the developed systems was achieved in the case of microspheres produced by the emulsification (reduction in bacterial cell viability in the range of 1.98–3.97 log in silica oleogel and 2.15–3.81 log in sucragel oleogel after 7 and 30 days of storage) than by the extrusion technique (after a week and a month of oleogel storage, the decrease in cell viability was 2.52–4.52 log in silica oleogel and 2.48–4.44 log in sucragel oleogel). Full article
(This article belongs to the Special Issue Multifunctional Natural Ingredients in Skin Protection and Care)
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<p>Scheme of oleogel-based systems [by author].</p>
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<p>Schematic description of the incorporation of encapsulated probiotics into the oleogel system [by author].</p>
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<p>Survival rate of free cells and encapsulated probiotics in the emulsification and extrusion techniques. The bars represent standard deviations of the means according to three independent repeated experiments. *—<span class="html-italic">p</span> = 0.05–0.011; ****—<span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>SEM micrographs of freeze-dried microspheres obtained by emulsification: (<b>a</b>) alginate–Tween 80 microspheres, (<b>b</b>) alginate–Span 80 microspheres, and (<b>c</b>) alginate–Tween 80–trehalose microspheres.</p>
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<p>SEM micrographs and cross sections of freeze-dried beads obtained by extrusion: (<b>a</b>) alginate beads and (<b>b</b>) alginate–trehalose beads.</p>
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<p>Examples of stress sweeps for the studied oleogels. G′: storage modulus (filled symbols); G″: loss modulus (empty symbols)—temperature 20 °C.</p>
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<p>Example stress sweeps for the studied oleogels. G′: storage modulus (filled symbols); G″: loss modulus (empty symbols)—temperature 37 °C.</p>
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<p>Frequency sweeps for the different oleogels studied. G′: storage modulus (filled symbols); G″: loss modulus (empty symbols)—temperature 20 °C.</p>
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<p>Frequency sweeps for the different oleogels studied. G′: storage modulus (filled symbols); G″: loss modulus (empty symbols)—temperature 37 °C.</p>
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<p>Schematic description of the process of obtaining probiotic microspheres by emulsification [by author].</p>
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<p>Schematic description of the process of obtaining probiotic microspheres by extrusion [by author].</p>
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20 pages, 7094 KiB  
Article
Comparative Analysis of Japanese Quince Juice Concentrate as a Substitute for Lemon Juice Concentrate: Functional Applications as a Sweetener, Acidifier, Stabilizer, and Flavoring Agent
by Vitalijs Radenkovs, Inta Krasnova, Ingmars Cinkmanis, Karina Juhnevica-Radenkova, Edgars Rubauskis and Dalija Seglina
Horticulturae 2024, 10(12), 1362; https://doi.org/10.3390/horticulturae10121362 - 18 Dec 2024
Viewed by 437
Abstract
This research examined the viability of Japanese quince juice concentrate (JQJC) as an innovative alternative to lemon juice concentrate (LJC). Given the rising consumer demand for natural food ingredients, this study focused on a thorough analysis of the nutritional and functional characteristics of [...] Read more.
This research examined the viability of Japanese quince juice concentrate (JQJC) as an innovative alternative to lemon juice concentrate (LJC). Given the rising consumer demand for natural food ingredients, this study focused on a thorough analysis of the nutritional and functional characteristics of JQJC in comparison to LJC. The chemical analysis indicated that JQJC possesses a total soluble solids (TSS) content of 50.6 °Brix, with fructose and glucose, to a greater extent, being the primary contributors to its solids content. In contrast, LJC had a TSS of 39.8 °Brix and also contained glucose and fructose. Additionally, malic acid is a principal component of JQJC’s acidity, determined at 20.98 g 100 g−1 of fresh weight (FW), while LJC mostly contained citric acid at a concentration of 30.86 g 100 g−1 FW. Moreover, the ascorbic acid content quantified in JQJC was eight times greater than that observed in LJC. The assessment of antioxidant activity, utilizing the DPPH and FRAP assays, indicated that JQJC exhibits scavenging activity nearly eleven times higher than that of LJC, suggesting its superior antioxidant capacity. The total phenolic content for JQJC was quantified at 2189.59 mg 100 g−1 FW, significantly (p < 0.05) exceeding the 262.80 mg 100 g−1 FW found in LJC. The analysis identified 16 individual phenolic compounds in JQJC, highlighting the dominance of epicatechin, chlorogenic, and protocatechuic acids with concentrations ranging from 0.16 to 50.63 mg 100 g−1 FW, contributing to a total individual phenolic content of 114.07 mg 100 g−1 FW. Conversely, LJC is characterized by substantial contributions from hesperidin, eriocitrin, and, to a lesser extent, quercetin-3-O-rutinoside, yielding a phenolic content of 109.65 mg 100 g−1 FW. This study presents strong evidence supporting the utilization of JQJC as a functional substitute for LJC across a variety of product categories, including beverages, jams, and other food items. The findings indicate that JQJC has the potential to enhance product development targeted at health-conscious consumers while optimizing the utilization of a relatively underexplored fruit crop. Full article
(This article belongs to the Section Processed Horticultural Products)
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<p>Fruit of the Japanese quince (<span class="html-italic">Chaenomeles japonica</span> L.) utilized in the production of juice concentrate.</p>
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<p>Extracted ion chromatogram (EIC) in multiple reaction monitoring (MRM) mode represents the profile of 21 phenolic standards at a concentration of 0.6 μg mL<sup>−1</sup>. Note: 1—Gallic acid; 2—Neochlorogenic acid; 3—Protocatechuic acid; 4—Chlorogenic acid; 5—(+)-Catechin; 6—(-)-Epicatechin; 7—Caffeic acid; 8—Myricetin-3-<span class="html-italic">O</span>-glucoside; 9—Quercetin-3-<span class="html-italic">O</span>-rutinoside (rutin); 10—Luteolin-7-<span class="html-italic">O</span>-glucoside (cynaroside); 11—Quercetin-3-<span class="html-italic">O</span>-galactoside (hyperoside); 12—Quercetin-3-<span class="html-italic">β</span>-glucoside (isoquercitrin); 13—Myricetin-3-<span class="html-italic">O</span>-rhamnoside (myricitrin); 14—Kaempferol-3-<span class="html-italic">O</span>-rutinoside (nicotiflorin); 15—Quercetin-3-<span class="html-italic">O</span>-rhamnoside (quercitrin); 16—Myricetin (aglycone); 17—Luteolin (aglycone); 18—Quercetin; 19—Kaempferol; 20—Rhamnetin; 21—Isorhamnetin.</p>
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<p>A representative profile of saccharides detected in Japanese quince (<b>A</b>) and lemon juice (<b>B</b>) concentrates. Sample injection volume of 15 µL, corresponding to a concentration of 0.075 µg mL<sup>−1</sup>. Note: 1—Glycerol; 2—Ribose; 3—Xylose; 4—Arabinose; 5—Fructose; 6—Mannose; 7—Glucose; 8—Sorbitol; 9—Galactose; 10—Sucrose; 11—Maltose; 12—Lactose. Unknown peaks 1, 2, 3, and 4 correspond to unidentified compounds in Japanese quince and lemon juice concentrates.</p>
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<p>Extracted ion chromatogram (EIC) in multiple reaction monitoring mode represents the profile of major phenolic compounds detected in Japanese quince juice concentrate. Note: 1—Gallic acid; 2—Neochlorogenic acid; 3—Protocatechuic acid; 4—Chlorogenic acid; 5—(+)-Catechin; 6—(-)-Epicatechin; 7—Caffeic acid; 9—Quercetin-3-<span class="html-italic">O</span>-rutinoside (rutin); 11—Quercetin-3-<span class="html-italic">O</span>-galactoside (hyperoside); 12—Quercetin-3-<span class="html-italic">β</span>-glucoside (isoquercitrin); 15—Quercetin-3-<span class="html-italic">O</span>-rhamnoside (quercitrin); 18—Quercetin.</p>
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<p>Extracted ion chromatogram (EIC) in multiple reaction monitoring mode represents the profile of major phenolic compounds detected in lemon juice concentrate. Note: 9—Quercetin-3-<span class="html-italic">O</span>-rutinoside (rutin); 18—Quercetin.</p>
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16 pages, 11300 KiB  
Article
Improvement in Palm Kernel Meal Quality by Solid-Sate Fermentation with Bacillus velezensis, Saccharomyces cerevisiae and Lactobacillus paracasei
by Xiaoyan Zhu, Zechen Deng, Qiuyue Wang, Shanxin Hao, Pei Liu, Shuai He and Xiangqian Li
Fermentation 2024, 10(12), 655; https://doi.org/10.3390/fermentation10120655 - 17 Dec 2024
Viewed by 433
Abstract
To improve the quality of palm kernel meal (PKM), the effect of solid-state fermentation (SSF) with Bacillus velezensis, Saccharomyces cerevisiae and Lactobacillus paracasei on nutritional components, anti-nutritional factor and antioxidant activity were investigated. The results show that inoculation ratio of three strains [...] Read more.
To improve the quality of palm kernel meal (PKM), the effect of solid-state fermentation (SSF) with Bacillus velezensis, Saccharomyces cerevisiae and Lactobacillus paracasei on nutritional components, anti-nutritional factor and antioxidant activity were investigated. The results show that inoculation ratio of three strains 4:2:1, inoculation amount 21%, moisture content 52%, fermentation temperature 34 °C and fermentation time 60 h were the optimal SSF conditions. After 60 h of fermentation, the content of neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), cellulose and hemicellulose in PKM were significantly decreased by 22.5%, 18.2%, 20.2%, 17.6% and 32.4%, respectively. Meanwhile, the content of crude protein, soluble protein, peptides, amino acids and reducing sugar were increased significantly by 27.3%, 193%, 134%, 16.3% and 228%, respectively. SSF significantly improved the total phenolic content, DPPH radical scavenging activity, hydroxyl radical scavenging activity and reducing power. In addition, in vitro dry matter digestibility (IVDMD) and in vitro crude protein digestibility (IVCPD) were increased. Scanning electron microscopy (SEM) analysis revealed microstructural alterations in PKM. The results indicate that SSF with B. velezensis, S. cerevisiae and L. paracasei is an effective and promising method to enhance the nutritional value and antioxidant activity of PKM, providing a feasible solution for increasing the utilization of PKM in animal feed. Full article
(This article belongs to the Section Industrial Fermentation)
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<p>Effect of moisture content (<b>a</b>), fermentation temperature (<b>b</b>), inoculum amount (<b>c</b>) and fermentation time (<b>d</b>) on reducing sugar content. Different superscript letters above the columns indicated significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Response surface plots for showing the mutual interactions between (<b>a</b>) inoculation amount and moisture content, (<b>b</b>) inoculum amount and fermentation temperature, (<b>c</b>) inoculum amount and fermentation time, (<b>d</b>) moisture content and fermentation temperature, (<b>e</b>) moisture content and fermentation time, (<b>f</b>) fermentation temperature and fermentation time.</p>
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<p>Response surface plots for showing the mutual interactions between (<b>a</b>) inoculation amount and moisture content, (<b>b</b>) inoculum amount and fermentation temperature, (<b>c</b>) inoculum amount and fermentation time, (<b>d</b>) moisture content and fermentation temperature, (<b>e</b>) moisture content and fermentation time, (<b>f</b>) fermentation temperature and fermentation time.</p>
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<p>Heatmap representing the relationship effects between fermentation groups and amino acids composition. (UPKM: unfermented palm kernel meal; 36 h FPKM: fermented palm kernel meal at 36 h; 48 h FPKM: fermented palm kernel meal at 48 h; 60 h FPKM: fermented palm kernel meal at 60 h).</p>
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<p>(<b>a</b>) <span class="html-italic">B. velezensis</span>, <span class="html-italic">S. cerevisiae</span>, <span class="html-italic">L. paracasei</span> counts; (<b>b</b>) Total titratable acidity; (<b>c</b>) In vitro digestibility of UPKM and FPKM. (UPKM: unfermented palm kernel meal; 36 h FPKM: fermented palm kernel meal; at 36 h; 48 h FPKM: fermented palm kernel meal at 48 h; 60 h FPKM: fermented palm kernel meal at 60 h). Values not sharing common alphabets in same graph are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>(<b>a</b>) Total phenolic content; (<b>b</b>) DPPH radical scavenging activity; (<b>c</b>) hydroxyl radical scavenging activity; (<b>d</b>) Reducing power of UPKM and FPKM. (UPKM: unfermented palm kernel meal; 36 h FPKM: fermented palm kernel meal at 36 h; 48 h FPKM: fermented palm kernel meal at 48 h; 60 h FPKM: fermented palm kernel meal at 60 h). Values not sharing common alphabets in same graph are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Microstructures of PKM and FPKM at different fermentation times ((<b>a</b>–<b>d</b>) represent unfermented PKM and PKM fermented for 36 h, 48 h and 60 h, respectively).</p>
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22 pages, 6302 KiB  
Article
Field Grading of Longan SSC via Vis-NIR and Improved BP Neural Network
by Jun Li, Meiqi Zhang, Kaixuan Wu, Hengxu Chen, Zhe Ma, Juan Xia and Guangwen Huang
Agriculture 2024, 14(12), 2297; https://doi.org/10.3390/agriculture14122297 - 14 Dec 2024
Viewed by 533
Abstract
Soluble solids content (SSC) measurements are crucial for managing longan production and post-harvest handling. However, most traditional SSC detection methods are destructive, cumbersome, and unsuitable for field applications. This study proposes a novel field detection model (Brix-back propagation neural network, Brix-BPNN), designed for [...] Read more.
Soluble solids content (SSC) measurements are crucial for managing longan production and post-harvest handling. However, most traditional SSC detection methods are destructive, cumbersome, and unsuitable for field applications. This study proposes a novel field detection model (Brix-back propagation neural network, Brix-BPNN), designed for longan SSC grading based on an improved BP neural network. Initially, nine preprocessing methods were combined with six classification algorithms to develop the longan SSC grading prediction model. Among these, the model preprocessed with Savitzky–Golay smoothing and the first derivative (SG-D1) demonstrated a 7.02% improvement in accuracy compared to the original spectral model. Subsequently, the BP network structure was refined, and the competitive adaptive reweighted sampling (CARS) algorithm was employed for feature wavelength extraction. The results show that the improved Brix-BPNN model, integrated with the CARS, achieves the highest prediction performance, with a 2.84% increase in classification accuracy relative to the original BPNN model. Additionally, the number of wavelengths is reduced by 92% compared to the full spectrum, making this model both lightweight and efficient for rapid field detection. Furthermore, a portable detection device based on visible-near-infrared (Vis-NIR) spectroscopy was developed for longan SSC grading, achieving a prediction accuracy of 83.33% and enabling fast, nondestructive testing in field conditions. Full article
(This article belongs to the Section Digital Agriculture)
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<p>Block diagram of the hardware system structure.</p>
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<p>Perspective view of the device.</p>
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<p>Physical drawing of the device: (<b>a</b>) internal structure of the device; (<b>b</b>) overall view of the device.</p>
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<p>Spectral collection points.</p>
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<p>Overall structures of the BPNN and Brix-BPNN.</p>
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<p>Structural diagram of the ECA-Brix attention mechanism.</p>
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<p>H-swish and ReLU activation functions.</p>
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<p>Max pooling process for longan spectral data.</p>
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<p>Original spectral curves.</p>
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<p>Average spectral curves of the three SSC grades.</p>
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<p>Feature wavelength selection of longan SSC based on the SPA algorithm: (<b>a</b>) RMSE variation of the model; (<b>b</b>) optimal feature wavelength selected by SPA.</p>
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<p>Feature wavelength selection of longan SSC based on the SPA algorithm: (<b>a</b>) RMSE variation of the model; (<b>b</b>) optimal feature wavelength selected by SPA.</p>
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<p>Feature wavelength selection of longan SSC based on the CARS algorithm: (<b>a</b>) number of sample variables; (<b>b</b>) RMSECV.</p>
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<p>Feature wavelength selection of longan SSC based on the CARS algorithm: (<b>a</b>) number of sample variables; (<b>b</b>) RMSECV.</p>
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<p>Statistical chart of the true and predicted labels for the SSC grade of the test samples.</p>
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15 pages, 1507 KiB  
Article
Biologically Active Compounds in Tomato Fruits Under the Application of Water–Ethanol Spirulina, Dunaliella and Chlorella Microalgae Extracts on Plants’ Leaves
by Ingrīda Augšpole, Irina Sivicka, Kaspars Kampuss, Pāvels Semjonovs and Imants Missa
Int. J. Plant Biol. 2024, 15(4), 1338-1352; https://doi.org/10.3390/ijpb15040092 - 13 Dec 2024
Viewed by 365
Abstract
This study aimed to detect an impact of water–ethanol extracts of different microalgae species—Spirulina platensis, Dunaliella salina and Chlorella vulgaris—on the accumulation of bioactive compounds in tomatoes. A treatment with the corresponding ethanol solution and pure drinking water was used [...] Read more.
This study aimed to detect an impact of water–ethanol extracts of different microalgae species—Spirulina platensis, Dunaliella salina and Chlorella vulgaris—on the accumulation of bioactive compounds in tomatoes. A treatment with the corresponding ethanol solution and pure drinking water was used as a control. Tomato cultivar ‘Belle’ F1 (Enza Zaden) was grown in a polycarbonate greenhouse, in 25 L pots filled with a peat substrate (pH KCl 5.5). The plants were sprayed weekly from germination until the start of harvesting, in total nine times. Fruits were analysed at the stage of full ripeness. Bioactive compounds’ contents such as vitamin C, titratable acidity, pH value, β-carotene, lycopene, anthocyanin, total phenols as well as total soluble solids and dry matter were analysed, and the connection between fruit mass and the taste index was determined. The influence of the tested extracts on the bioactive compounds and quality parameters of tomatoes was different, but no significant differences for most of the analysed active compounds were found, with the exception of total phenols (from 137.59 ± 1.34 to 166.93 ± 2.01 mg 100 g−1) and total soluble solids (from 3.93 ± 0.12 to 4.4 ± 0.18 °Brix). In the next research, a more detailed study about the influence of the ethanol concentration on changes in biologically active compounds should be provided. Full article
(This article belongs to the Section Plant Biochemistry and Genetics)
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<p>Water–ethanol microalgae-based extracts prepared for the trial: <span class="html-italic">Spirulina platensis</span> (on the <b>left</b>), <span class="html-italic">Dunaliella salina</span> (in the <b>centre</b>) and <span class="html-italic">Chlorella vulgaris</span> (on the <b>right</b>).</p>
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<p>Maturity stages of tomato: from mature green (<b>right</b>) to fully ripe (<b>left</b>), trial photo.</p>
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<p>General scheme of study.</p>
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11 pages, 1473 KiB  
Article
Natural Variation in the AAT1 Promoter Is Responsible for the Disparity in Ester Aroma Between Actinidia chinensis and Actinidia eriantha
by Qing Cao, Zhenyu Huang, Jinyin Chen and Zengyu Gan
Agronomy 2024, 14(12), 2965; https://doi.org/10.3390/agronomy14122965 - 12 Dec 2024
Viewed by 471
Abstract
To understand ester compound biosynthesis in kiwifruit, two Actinidia species with distinct characteristics were compared. The firmness of Donghong (Actinidia chinensis) and Ganlv-1 (Actinidia eriantha) fruits gradually decreased as the fruit ripened after harvest, whereas the total soluble solids [...] Read more.
To understand ester compound biosynthesis in kiwifruit, two Actinidia species with distinct characteristics were compared. The firmness of Donghong (Actinidia chinensis) and Ganlv-1 (Actinidia eriantha) fruits gradually decreased as the fruit ripened after harvest, whereas the total soluble solids increased continuously, reaching a peak on the 8th day. The Ganlv-1 fruit ester content was significantly lower than in the Donghong fruits at the optimal eating stage, and the alcohol acyltransferase (AAT) activity in the Ganlv-1 fruits was significantly lower than in the Donghong fruits. The gene expression levels of AAT1 and AAT17 in the Donghong fruits were significantly higher than in the Ganlv-1 fruits, with a particularly remarkable difference observed for AAT1, which exhibited a 36-fold higher expression in the Donghong fruits when compared with the fully ripened Ganlv-1 fruits. A transient overexpression of the AAT1 gene in the kiwifruit led to a significant increase in ester content. Interestingly, a natural variation was observed in the promoter sequence of AAT1 between the Donghong and Ganlv-1 cultivars. Furthermore, separate analyses of the respective promoter activities revealed significantly higher activity levels in the Donghong fruits than in the Ganlv-1 fruits. In conclusion, a natural variation in the AAT1 promoter is primarily responsible for the disparity in AAT1 gene expression between the Donghong and Ganlv-1 fruits, resulting in a divergent accumulation of ester aroma compounds during the postharvest ripening stages. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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<p>Fruit ripening characteristics of the Donghong (<span class="html-italic">Actinidia chinensis)</span> and Ganlv-1 (<span class="html-italic">Actinidia eriantha</span>) fruits. The photographs depict the Donghong (<b>A</b>) and Ganlv-1 (<b>B</b>) fruits. Changes in firmness (<b>C</b>) and the total soluble solid (TSS) content (<b>D</b>) of the Donghong and Ganlv-1 fruits during postharvest storage.</p>
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<p>(<b>A</b>) Total ester content in ripe Donghong (<span class="html-italic">Actinidia chinensis)</span> and Ganlv-1 (<span class="html-italic">Actinidia eriantha</span>) fruits. (<b>B</b>) Changes of AAT enzyme content in the Donghong and Ganlv-1 fruits during postharvest storage. Data represent mean ± SD of at least three biological replicates. ** indicates that in the Duncan’s multiple range test, there is a significant difference between the Donghong and Ganlv-1 fruits (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Relative expression of <span class="html-italic">AAT1</span> (<b>A</b>) and <span class="html-italic">AAT17</span> (<b>B</b>) in ripe Donghong (<span class="html-italic">Actinidia chinensis)</span> and Ganlv-1 (<span class="html-italic">Actinidia eriantha</span>) fruits. Data represents mean ± SD of at least three biological replicates. Different letters indicate that the expression level of the same gene is significantly different in the Donghong and Ganlv-1 fruits (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Transient overexpression of <span class="html-italic">AAT1</span> in kiwifruit. (<b>A</b>) Relative expression of <span class="html-italic">AAT1</span> in control and <span class="html-italic">AAT1</span>-overexpression kiwifruit. (<b>B</b>) The total ester content in control and <span class="html-italic">AAT1</span>-overexpression kiwifruit. Data represent mean ± SD of at least three biological replicates. Different letters indicated significant differences between the control and the <span class="html-italic">AAT1</span>-OE groups (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Analysis of <span class="html-italic">AAT1</span> promoter activity in the Donghong and Ganlv-1 fruits. (<b>A</b>) Diagram of cloning <span class="html-italic">AAT1</span> promoter to pCAMBIA1391 vector (no promoter vector). (<b>B</b>) Transient GUS activity analysis of pro<span class="html-italic">AeAAT1</span> and pro<span class="html-italic">AcAAT1</span> in tobacco leaves. Tobacco leaves were transfected with pro<span class="html-italic">AeAAT1</span>-GUS, pro<span class="html-italic">AcAAT1</span>-GUS, and pCAMBIA1391 vector fusions. Data represent mean ± SD of at least three biological replicates. Bar with different letters showed significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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14 pages, 4572 KiB  
Article
Influence of Animal Manure Extracts on Physico-Chemical and Nutritional Quality of Tomatoes Grown in Soilless Cultivation
by Ayanda Luthuli, Lembe Magwaza, Samson Tesfay, Shirly Magwaza and Asanda Mditshwa
Horticulturae 2024, 10(12), 1330; https://doi.org/10.3390/horticulturae10121330 - 12 Dec 2024
Viewed by 449
Abstract
In response to environmental challenges facing the agricultural sector, growers are moving toward innovative and sustainable cultivation methods such as the hydroponic production system. This study evaluated the effect of different sources of manure on the physico-chemical and nutritional qualities of tomatoes (cv. [...] Read more.
In response to environmental challenges facing the agricultural sector, growers are moving toward innovative and sustainable cultivation methods such as the hydroponic production system. This study evaluated the effect of different sources of manure on the physico-chemical and nutritional qualities of tomatoes (cv. CLX 532) grown under a hydroponic system. The experiment was set up in a completely randomized design with four treatments, which included three types of animal manure-derived hydroponic nutrient extracts, namely, chicken (CHME), cow (CME) and goat (GME), and a commercial fertilizer as a control. Tomato fruit from each treatment were harvested and analysed for macro- and micronutrients, physicochemical attributes such as total soluble solids (TSS), titratable acidity (TA), total soluble solid to titratable acidity ratio (TSS/TA), BrimA, colour index and firmness. The total phenolics and ascorbic acid content were also assessed. The results showed significant differences in physico-chemical and nutritional quality among different treatments. TSS was higher in CHME (6.47 °Brix) compared to other treatments. The TA was higher in both commercial fertilizer and CHME (0.62% and 0.61%) than in GME and CME (0.44% and 0.39%). Both TSS/TA and BrimA were lower in commercial fertilizer and than in animal manure extracts (AME). CHME had a higher colour index (30.32) while GME had higher firmness (316.9 N) than other treatments. The phenolic content was notably higher in GME compared to the commercial fertilizer and AME. Fruit fertigated with commercial fertilizer had more macronutrient content while fruit fertigated with animal manure-based nutrient solutions had high micronutrients. Based on these findings, animal manure extracts, specifically CHME and GME, can be used as a nutrient source in the production of tomatoes as it produces good fruit quality which is comparable to commercial fertilizers. Full article
(This article belongs to the Section Vegetable Production Systems)
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<p>Effects of different sources of animal manure extracts applied through fertigation on the fruit quality of tomatoes (cv. CLX 532) grown in the hydroponic system: CHME: chicken manure extract, CME: cow manure extract and GME: goat manure extracts.</p>
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<p>Effects of the animal manure extracts and the commercial fertilizer on the total soluble solids (<b>A</b>), titratable acidity (<b>B</b>), solid acid ratio (<b>C</b>), BrimA (<b>D</b>), colour index (<b>E</b>) and firmness (<b>F</b>) of tomatoes (cv. CLX 532) grown for 12 weeks in soilless cultivation. CHME—chicken manure extract; CME—cow manure extract; GME—goat manure extract. Values are the means ± SE (n = 4). Different lower-case letters within the graph indicate significant differences among different treatments at LSD (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of animal compost extracts and the commercial fertilizer on the phenolics (<b>A</b>) and ascorbic acid (<b>B</b>) of tomato fruit (cv. CLX 532) grown in soilless culture for 12 weeks. CHME—chicken manure extract; CME—cow manure extract; GME—goat manure extract. Values are the means ± SE (n = 4). Different lower-case letters within the graph indicate significant differences among different treatments at LSD (<span class="html-italic">p</span> &lt; 0.05).</p>
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11 pages, 2581 KiB  
Article
Plant–Vitamin–Microorganism Interaction in Hydroponic Melon Cultivation
by Vanessa Ribeiro, Eduardo Pradi Vendruscolo, Jessé Santarém Conceição, Sebastião Ferreira de Lima, Flávio Ferreira da Silva Binotti, Fernanda Pacheco de Almeida Prado Bortolheiro, Carlos Eduardo da Silva Oliveira, Edilson Costa and Luc Lafleur
Horticulturae 2024, 10(12), 1329; https://doi.org/10.3390/horticulturae10121329 (registering DOI) - 12 Dec 2024
Viewed by 317
Abstract
The study of the application of biostimulants in agriculture aims to increase production and improve the efficient use of physical space and agricultural inputs, thus contributing to the sustainability of production systems. One of the new challenges is to verify the effects of [...] Read more.
The study of the application of biostimulants in agriculture aims to increase production and improve the efficient use of physical space and agricultural inputs, thus contributing to the sustainability of production systems. One of the new challenges is to verify the effects of joint application of these products to identify possible interactions during crop development. In this context, the present study aimed to evaluate the biostimulant potential of the isolated and combined use of nicotinamide and Azospirillum brasilense in developing cantaloupe melon plants and fruits. The treatments consisted of foliar application (combined and isolated) of nicotinamide (300 mg L−1) and A. brasilense (2 mL L−1). The results revealed that applying biostimulants positively influences gas exchange and vegetative growth of plants, especially in the root system. However, although the isolated application of each biostimulant resulted in greater effectiveness in terms of transpiration, stomatal conductance, and net CO2 assimilation, which provided an increase in the soluble solids content, the combined application of the two biostimulants resulted in significant gains in the growth of vegetative organs and fruits. Furthermore, combined applications of nicotinamide plus A. brasilense favored the development of biometric characteristics and fruit fresh weight, while isolated applications increased soluble solids content. Full article
(This article belongs to the Special Issue Greenhouse: Comfort and Ambience for Horticulture Plants)
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<p>Maximum, average, and minimum temperature and relative air humidity conditions during the experiment. The arrow indicates the moment when heat stress was induced.</p>
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<p>Leaf mesophyll CO<sub>2</sub> content (<b>A</b>), transpiration (<b>B</b>), stomatal conductance (<b>C</b>), and net assimilation rate (<b>D</b>) of hydroponic melon submitted to the application of nicotinamide and <span class="html-italic">A. brasilense</span>. Bars with the same lowercase letter do not differ by Tukey test (<span class="html-italic">p</span> ≤ 0.05). Azos—2 mL L<sup>−1</sup> of <span class="html-italic">A. brasilense</span> applied via foliar spraying; Nico—300 mg L<sup>−1</sup> of nicotinamide; Azos + Nico—the combination of 2 mL L<sup>−1</sup> of <span class="html-italic">A. brasilense</span> and 300 mg L<sup>−1</sup> of nicotinamide applied via foliar spraying.</p>
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<p>Water use efficiency (<b>A</b>) and carboxylation efficiency (<b>B</b>) of hydroponic melon submitted to the application of nicotinamide and <span class="html-italic">A. brasilense</span>. Bars with the same lowercase letter do not differ by Tukey test (<span class="html-italic">p</span> ≤ 0.05). Azos—2 mL L<sup>−1</sup> of <span class="html-italic">A. brasilense</span> applied via foliar spraying; Nico—300 mg L<sup>−1</sup> of nicotinamide; Azos + Nico—the combination of 2 mL L<sup>−1</sup> of <span class="html-italic">A. brasilense</span> and 300 mg L<sup>−1</sup> of nicotinamide applied via foliar spraying.</p>
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<p>Stem length (<b>A</b>), number of nodes (<b>B</b>), stem diameter (<b>C</b>), and root volume (<b>D</b>) of hydroponic melon submitted to the application of nicotinamide and <span class="html-italic">A. brasilense</span>. Bars with the same lowercase letter do not differ by Tukey test (<span class="html-italic">p</span> ≤ 0.05). Azos—2 mL L<sup>−1</sup> of <span class="html-italic">A. brasilense</span> applied via foliar spraying; Nico—300 mg L<sup>−1</sup> of nicotinamide; Azos + Nico—the combination of 2 mL L<sup>−1</sup> of <span class="html-italic">A. brasilense</span> and 300 mg L<sup>−1</sup> of nicotinamide applied via foliar spraying.</p>
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<p>Fruit fresh weight (<b>A</b>), total soluble solids (<b>B</b>), and fruit diameter (<b>C</b>) of hydroponic melon submitted to the application of nicotinamide and <span class="html-italic">A. brasilense</span>. Bars with the same lowercase letter do not differ by Tukey test (<span class="html-italic">p</span> ≤ 0.05). Azos—2 mL L<sup>−1</sup> of <span class="html-italic">A. brasilense</span> applied via foliar spraying; Nico—300 mg L<sup>−1</sup> of nicotinamide; Azos + Nico—the combination of 2 mL L<sup>−1</sup> of <span class="html-italic">A. brasilense</span> and 300 mg L<sup>−1</sup> of nicotinamide applied via foliar spraying.</p>
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<p>Stem dry weight (<b>A</b>), leaf dry weight (<b>B</b>), and root dry weight (<b>C</b>) of hydroponic melon submitted to the application of nicotinamide and <span class="html-italic">A. brasilense</span>. Bars with the same lowercase letter do not differ by Tukey test (<span class="html-italic">p</span> ≤ 0.05). Azos—2 mL L<sup>−1</sup> of <span class="html-italic">A. brasilense</span> applied via foliar spraying; Nico—300 mg L<sup>−1</sup> of nicotinamide; Azos + Nico—the combination of 2 mL L<sup>−1</sup> of <span class="html-italic">A. brasilense</span> and 300 mg L<sup>−1</sup> of nicotinamide applied via foliar spraying.</p>
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<p>Canonical correlation analysis among transpiration (<span class="html-italic">E</span>), stomatal conductance (<span class="html-italic">gs</span>), net assimilation rate (<span class="html-italic">A</span>), water use efficiency (<span class="html-italic">WUE</span>), root volume (RV), stem diameter (SD), total dry weight (TDW), fruit fresh weight (FFW), and total soluble solids (TSS) of hydroponic melon submitted to the application of nicotinamide and <span class="html-italic">A. brasilense</span>. Treatments = control; Nico (nicotinamide); Azos (<span class="html-italic">A. brasilense</span>), and Nico + Azos (nicotinamide + <span class="html-italic">A. brasilense</span>).</p>
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16 pages, 16915 KiB  
Article
Correlation Analyses of Amylase and Protease Activities and Physicochemical Properties of Wheat Bran During Solid-State Fermentation
by Hongrui Ren, Tianli Wang and Rui Liu
Foods 2024, 13(24), 3998; https://doi.org/10.3390/foods13243998 - 11 Dec 2024
Viewed by 454
Abstract
Solid-state fermentation (SSF) has emerged as an effective method for wheat bran valorization, providing advantages like cost reduction, decreased water usage, and enhanced product quality. In this study, wheat bran was fermented using Rhizopus oryzae to evaluate the extraction yield of soluble dietary [...] Read more.
Solid-state fermentation (SSF) has emerged as an effective method for wheat bran valorization, providing advantages like cost reduction, decreased water usage, and enhanced product quality. In this study, wheat bran was fermented using Rhizopus oryzae to evaluate the extraction yield of soluble dietary fiber, the activities of protease and amylase, and the physicochemical characteristics of wheat bran during SSF. The findings demonstrated that the maximum yield of soluble dietary fiber was achieved after 120 h of fermentation at a moisture content of 55%. Simultaneously, protease activity peaked at 45% moisture content after 120 h, while amylase activity was maximized at 55% moisture content after 96 h. The microstructure result indicated that most of the starch granules degraded after 144 h of fermentation at a moisture content of 55%, exhibiting a smooth outer layer of wheat bran. Furthermore, fermented bran showed a significant rise in total phenols, peaking at 96 h at a moisture content of 55%. Flavonoid content also reached its maximum after 72 h of fermentation at 55% moisture content. The content of alkylresorcinols in fermented wheat bran changed slightly under different moisture content and fermentation time conditions, which was consistent with the change in pH value. The DPPH radical scavenging rate was optimal when the moisture content was 55% after 96 h. The ABTS radical scavenging rate, hydroxyl radical scavenging rate, and reducing ability were optimal at 55% moisture content after 120 h. These findings demonstrate that the optimal conditions for the SSF of wheat bran using Rhizopus oryzae involve maintaining the moisture at 55%, suggesting that this method is effective for enhancing the value of wheat bran. Full article
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Graphical abstract

Graphical abstract
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<p>The SDF yield of wheat bran during solid-state fermentation by <span class="html-italic">Rhizopus oryzae</span> with different moisture contents and fermentation times. Different superscript letters indicate a significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Changes in amylase activity (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>,<b>I</b>) and protease activity (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>,<b>J</b>) of wheat bran during solid-state fermentation by <span class="html-italic">Rhizopus oryzae</span> with different moisture contents and fermentation times.</p>
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<p>Changes in amylase activity (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>,<b>I</b>) and protease activity (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>,<b>J</b>) of wheat bran during solid-state fermentation by <span class="html-italic">Rhizopus oryzae</span> with different moisture contents and fermentation times.</p>
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<p>Morphology of wheat bran during solid-state fermentation by <span class="html-italic">Rhizopus oryzae</span> with different moisture content and fermentation time.</p>
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<p>The total phenolic content (<b>A</b>), flavonoid content (<b>B</b>), alkylresorcinols content (<b>C</b>), and pH (<b>D</b>) of wheat bran during solid-state fermentation by <span class="html-italic">Rhizopus oryzae</span> with different moisture content and fermentation times. Different superscript letters indicate a significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The DPPH radical-scavenging rate (<b>A</b>), ABTS radical-scavenging rate (<b>B</b>), hydroxyl radical-scavenging rate (<b>C</b>), and reducing ability (<b>D</b>) of wheat bran during solid-state fermentation by <span class="html-italic">Rhizopus oryzae</span> with different moisture content and fermentation times. Different superscript letters indicate a significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Under the condition of constant fermentation time, the correlation under the influence of moisture content. A, amylase activity, P, protease activity, R, reducing power; “*”, indicates the correlation is significant at 0.05; “**”, indicates the correlation is significant at 0.01.</p>
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13 pages, 1332 KiB  
Article
Exploring Near-Infrared and Raman Spectroscopies for the Non-Destructive In-Situ Estimation of Sweetness in Half Watermelons
by Miguel Vega-Castellote, Dolores Pérez-Marín, Jens Petter Wold, Nils Kristian Afseth and María-Teresa Sánchez
Foods 2024, 13(23), 3971; https://doi.org/10.3390/foods13233971 - 9 Dec 2024
Viewed by 561
Abstract
Watermelons are in high demand for their juicy texture and sweetness, which is linked to their soluble solids content (SSC). Traditionally, watermelons have been sold as whole fruits. However, the decline in the mean size of households and the very large size of [...] Read more.
Watermelons are in high demand for their juicy texture and sweetness, which is linked to their soluble solids content (SSC). Traditionally, watermelons have been sold as whole fruits. However, the decline in the mean size of households and the very large size of the fruits, together with high prices, mainly at the beginning of the season, mean that supermarkets now sell them as half fruits. For consumers, it is important to know in advance that the fruits that they are purchasing are of a high quality, based not only on external flesh colour but also on sweetness. Near-infrared spectroscopy (NIRS) and Raman spectroscopy were used for the in situ determination of SSC in half watermelons while simulating supermarket conditions. A handheld linear variable filter (LVF) device and an all-in-one (AIO) Process Raman analyser were used for the NIRS and Raman analysis, respectively. The excellent results obtained—including residual predictive deviation for prediction (RPDp) values of 3.06 and 2.90 for NIRS and Raman, respectively—showed the viability of NIRS and Raman spectroscopies for the prediction of sweetness in half watermelons. Full article
(This article belongs to the Section Food Quality and Safety)
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Figure 1
<p>Raw Raman spectrum of a randomly selected sample. Red boxes indicate the spectral regions that were trimmed due to unwanted spectral variations. The 502–3052 cm<sup>−1</sup> range was selected.</p>
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<p>Main peaks of the mean pretreated Raman spectrum.</p>
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<p>Regression coefficients for the best equation developed for the prediction of soluble solid content using the MicroNIR<sup>TM</sup> Pro 1700.</p>
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<p>Regression coefficients for the best equation developed for the prediction of soluble solid content using the MarqMetrix AIO Raman system.</p>
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<p>Reference vs. NIR predicted (<b>A</b>) and Raman predicted (<b>B</b>) values for the prediction of the soluble solid content using the full selected range, and reference vs Raman predicted values for the prediction of the soluble solid content using the MarqMetrix AIO in the 502–1750 and 2800–3052 cm<sup>−1</sup> range (<b>C</b>). <sup>a</sup> N: number of samples; <sup>b</sup> R<sup>2</sup><sub>p</sub>: coefficient of determination for the prediction; <sup>c</sup> SEP: standard error of prediction; <sup>d</sup> SEP(c): standard error of prediction bias corrected; <sup>e</sup> RPD<sub>p</sub>: residual predicted deviation for the prediction.</p>
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Article
First Results of Management of Powdery Mildew in Grapevine Using Sulphur, Silicate and Equisetum arvense Formulations
by Francesco Calzarano, Giancarlo Pagnani, Leonardo Seghetti, Vincenzo D’Agostino and Stefano Di Marco
Agronomy 2024, 14(12), 2930; https://doi.org/10.3390/agronomy14122930 - 9 Dec 2024
Viewed by 464
Abstract
The management of grapevine from diseases is now particularly focused on the development of environmentally friendly strategies. Although sulphur is not in itself a toxic substance, its extensive use in powdery mildew, in organic vineyards especially, may cause environmental problems and plant phytotoxicity [...] Read more.
The management of grapevine from diseases is now particularly focused on the development of environmentally friendly strategies. Although sulphur is not in itself a toxic substance, its extensive use in powdery mildew, in organic vineyards especially, may cause environmental problems and plant phytotoxicity and affect the health and safety of viticultural workers. The activity of sulphur applied at doses reduced up to 50% in tank mixtures with silicates or Equisetum arvense-based products was assessed on powdery mildew in grapevine. Two-year trials were carried out applying the products every 7–10 days in the period of greatest risk for disease infections, in two organic vineyards in the Abruzzo region, Italy. In both vineyards throughout all trial years, at harvest, disease incidence and severity on leaves and bunches in the silicon + sulphur treatments were generally significantly lower compared to both the sulphur at full dose and to the control. In all trials, in both vineyards, a strong activity of silicon + sulphur mixtures towards disease on leaves was observed. This effect could be decisive in lowering the potential inoculum in the following season. In the Ari vineyard, vines treated with the mixtures always increased yield quantity and quality, given the higher contents of soluble solids and lower levels of total acidity. In the Cellino vineyard, probably due to the young age of the vines, increases in yield quantity were observed, with lesser effects on quality. The promising activity of the mixtures needs further studies to confirm these positive results. Furthermore, in both vineyards, the source of primary inoculum of the pathogen was observed as chasmothecia on the leaves. Full article
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