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13 pages, 2555 KiB  
Article
Peanut and Soy Protein-Based Emulsion Gels Loaded with Curcumin as a New Fat Substitute in Sausages: A Comparative Study
by Hong-Yan Yan and Shao-Bing Zhang
Gels 2025, 11(1), 62; https://doi.org/10.3390/gels11010062 - 13 Jan 2025
Abstract
The aim of this study was to evaluate the effects of the complete or partial substitution (0, 20, 40, and 100%) of the pork backfat in prepared sausage with protein emulsion gels loaded with curcumin. The effects of three protein emulsion gels (i.e., [...] Read more.
The aim of this study was to evaluate the effects of the complete or partial substitution (0, 20, 40, and 100%) of the pork backfat in prepared sausage with protein emulsion gels loaded with curcumin. The effects of three protein emulsion gels (i.e., peanut proteins, ultrasound-modified peanut proteins, and soy proteins) on sausage characteristics (cooking loss, textural properties, microstructure, sensory characteristics, and antioxidant activity) were investigated and compared using a one-way analysis of variance and Duncan’s multiple tests. The results revealed that the addition of each emulsion gel reduced cooking loss and improved the textural properties of the sausages in a dose-dependent manner. When 20% of pork backfat was substituted with untreated or ultrasound-modified peanut protein emulsion gel (PPEG), cooking loss decreased to a greater extent than when soy protein emulsion gel (SPEG) was used. However, the latter yielded higher cohesiveness and resilience at the same substitution levels. Compared with untreated PPEG, the sausages containing modified PPEG (at 200 W for 20 min) had significantly greater resilience and a denser microstructure. In addition, when 100% of pork backfat was substituted with modified PPEG, the sausages had desirable sensory characteristics. All sausages enriched with protein emulsion gels loaded with curcumin presented higher DPPH and ABTS radical scavenging capacities than the control sausages. The sausages prepared with the modified PPEG had the highest antioxidant activity (DPPH: 37.43 ± 0.35%; ABTS: 39.48 ± 0.50%; TBARS: 0.65 ± 0.05 mg MDA/Kg), which may be attributed to the increased stability of curcumin in the modified PPEG with a denser network structure. Therefore, ultrasound-modified PPEG loaded with curcumin can be used as a new fat substitute in functional sausages or other healthy meat products. Full article
(This article belongs to the Special Issue Recent Developments in Food Gels (2nd Edition))
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<p>Cooking loss from sausages after replacing pork backfat with different protein emulsion gels. Control: without emulsion gel; PPEG: peanut protein emulsion gel; UPPEG: ultrasound-modified peanut protein emulsion gel; SPEG: soy protein emulsion gel. Values are mean ± standard error (<span class="html-italic">n</span> = 3). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Juice loss from sausages after replacing pork backfat with different protein emulsion gels. Control: without emulsion gel; PPEG: peanut protein emulsion gel; UPPEG: ultrasound-modified peanut protein emulsion gel; SPEG: soy protein emulsion gel. Values are mean ± standard error (<span class="html-italic">n</span> = 3). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Appearance, cross-sections, and SEM images of sausages after replacing pork backfat with different protein emulsion gels. Control: without emulsion gel; PPEG: peanut protein emulsion gel; UPPEG: ultrasound-modified peanut protein emulsion gel; SPEG: soy protein emulsion gel. SEM images represent cross-sections of freeze-dried sausages. The bars in the SEM images indicate a length of 500 μm. Holes and gel clumps in the surface (cross-section) are indicated by red arrows and circles, respectively.</p>
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<p>Appearance, cross-sections, and SEM images of sausages after replacing pork backfat with different protein emulsion gels. Control: without emulsion gel; PPEG: peanut protein emulsion gel; UPPEG: ultrasound-modified peanut protein emulsion gel; SPEG: soy protein emulsion gel. SEM images represent cross-sections of freeze-dried sausages. The bars in the SEM images indicate a length of 500 μm. Holes and gel clumps in the surface (cross-section) are indicated by red arrows and circles, respectively.</p>
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<p>Radical scavenging capacity of freshly cooked sausages with different protein emulsion gels. Control: without emulsion gel; PPEG: peanut protein emulsion gel; UPPEG: ultrasound-modified peanut protein emulsion gel; SPEG: soy protein emulsion gel. Values are mean ± standard error (<span class="html-italic">n</span> = 3). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>TBARS values for fresh cooked sausages with different protein emulsion gels. Control: without emulsion gel; PPEG: peanut protein emulsion gel; UPPEG: ultrasound-modified peanut protein emulsion gel; SPEG: soy protein emulsion gel. Values are mean ± standard error (<span class="html-italic">n</span> = 3). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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16 pages, 2306 KiB  
Article
Optimizing Irrigation Regimes for Peanuts in Water-Scarce Regions: A Case Study in Western Liaoning, China
by Siyuan Zhao, Xinhao Du, Jing Chen, Dan Chen, Zhaohui Luo, Bo Bi, Haoran Liu, Lan Lin and Huanghuang Wei
Water 2025, 17(2), 178; https://doi.org/10.3390/w17020178 - 10 Jan 2025
Viewed by 315
Abstract
Scientific irrigation scheduling is crucial for conserving agricultural water resources, as excessive irrigation diminishes crop yield and imprecise water application can equally reduce water use efficiency (WUE). In Western Liaoning Province, China, where water scarcity is critical, traditional irrigation regimes are commonly used [...] Read more.
Scientific irrigation scheduling is crucial for conserving agricultural water resources, as excessive irrigation diminishes crop yield and imprecise water application can equally reduce water use efficiency (WUE). In Western Liaoning Province, China, where water scarcity is critical, traditional irrigation regimes are commonly used for peanut cultivation, with local farmers applying water without considering actual crop water demands, thereby reducing water efficiency and yield. In this study, field experiments on peanuts were conducted from May to October during 2021 and 2022 in Heishan County, Western Liaoning Province, China. Four irrigation regime treatments for micro-sprinkler irrigation, with different lower limits of soil water content, were applied: T1 (55% field capacity), T2 (65% field capacity), T3 (75% field capacity), and T4 (85% field capacity). The plant height, stem thickness, root length, dry matter weight, yield, WUE, and net return were measured. Different irrigation regimes had significant effects on peanut growth. The yield was highest in the T3 treatment in 2021 at 5574 kg·hm−2. Moderate irrigation could improve the yield, but it was difficult to simultaneously achieve a high WUE. The WUE of the T3 treatment was 5% lower than that of the T2 treatment in 2022, where the WUE was the highest at 1.62 kg·m−3. The highest net return was observed in the T3 treatment at 27,307 yuan·hm−2. The T3 treatment, with the highest similarity degree of 0.83 as determined with the entropy value and TOPSIS method, was evaluated as the optimal irrigation regime. This regime not only exhibited a favorable balance of water use efficiency and yield but also maximized economic benefits, making it a recommendable practice for local peanut irrigation. Full article
(This article belongs to the Special Issue Advances in Agricultural Irrigation Management and Technology)
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<p>Location of Heishan County.</p>
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<p>Test area layout and experiment processing.</p>
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<p>Effects of different irrigation regimes on peanut growth and dry matter weight. Different lowercase letters (a, b, c) indicate significant differences between the data groups (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different irrigation regimes on peanut growth and dry matter weight. Different lowercase letters (a, b, c) indicate significant differences between the data groups (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different irrigation regimes on yield and WUE.</p>
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<p>Effects of different irrigation regimes on yield and WUE.</p>
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20 pages, 1044 KiB  
Review
Effect of Antioxidants on the Gut Microbiome Profile and Brain Functions: A Review of Randomized Controlled Trial Studies
by Aleksandra Hyży, Hanna Rozenek, Ewa Gondek and Mariusz Jaworski
Foods 2025, 14(2), 176; https://doi.org/10.3390/foods14020176 - 8 Jan 2025
Viewed by 317
Abstract
Background: Antioxidants are widely recognized for their potential health benefits, including their impact on cognitive function and gut microbiome modulation. Understanding these effects is essential for exploring their broader clinical applications. Objectives: This review aims to evaluate the effects of antioxidants on the [...] Read more.
Background: Antioxidants are widely recognized for their potential health benefits, including their impact on cognitive function and gut microbiome modulation. Understanding these effects is essential for exploring their broader clinical applications. Objectives: This review aims to evaluate the effects of antioxidants on the gut microbiome and cognitive function, with a focus on findings from randomized controlled trials (RCTs). Methods: The studies involved human participants across a range of age groups, with interventions encompassing natural antioxidant sources, such as berries, as well as specific antioxidant vitamins. An extensive search across PubMed, SCOPUS, and Web of Science databases identified six relevant RCTs, each evaluated for potential bias. Results: These studies focused on a variety of antioxidant-rich products, including both naturally derived sources and supplemental forms. Antioxidants, including vitamins C, B2, and D, along with polyphenols such as xanthohumol, fermented papaya, peanuts, and berry extracts, demonstrate the potential to support cognitive function and promote gut health through mechanisms that modulate microbiome diversity and reduce inflammation. However, observed changes in microbiome diversity were modest and inconsistent across the studies. Conclusions: While preliminary evidence suggests that antioxidants may benefit gut health and cognitive function, the heterogeneity of existing studies limits their immediate clinical applicability. Additionally, more robust RCTs are needed to substantiate these findings and guide future interventions. Full article
(This article belongs to the Special Issue Feature Review on Plant Foods)
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<p>PRISMA flow diagram of studies selected.</p>
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<p>Antioxidants, microbiome, and cognition.</p>
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18 pages, 4006 KiB  
Article
Biochar Amendment as a Mitigation Against Freezing–Thawing Effects on Soil Hydraulic Properties
by Zhongkui Chen, Chitipat Intraravimonmata, Viroon Kamchoom, Rui Chen and Natdanai Sinsamutpadung
Agronomy 2025, 15(1), 137; https://doi.org/10.3390/agronomy15010137 - 8 Jan 2025
Viewed by 397
Abstract
Seasonal freeze–thaw cycles compromise soil structure, thereby increasing hydraulic conductivity but diminishing water retention capacity—both of which are essential for sustaining crop health and nutrient retention in agricultural soils. Prior research has suggested that biochar may alleviate these detrimental effects; however; further investigation [...] Read more.
Seasonal freeze–thaw cycles compromise soil structure, thereby increasing hydraulic conductivity but diminishing water retention capacity—both of which are essential for sustaining crop health and nutrient retention in agricultural soils. Prior research has suggested that biochar may alleviate these detrimental effects; however; further investigation into its influence on soil hydraulic properties through freeze–thaw cycles is essential. This study explores the impact of freeze–thaw cycles on the soil water retention and hydraulic conductivity and evaluates the potential of peanut shell biochar to mitigate these effects. Peanut shell biochar was used, and its effects on soil water retention and unsaturated hydraulic conductivity were evaluated through evaporation tests. The findings indicate that freeze–thaw cycles predominantly affect clay’s ability to retain water and control hydraulic conductivity by generating macropores and fissures; with a notable increase in conductivity at high matric potentials. The impact lessens as matric potential decreases below −30 kPa, resulting in smaller differences in conductivity. Introducing biochar helps mitigate these effects by converting large pores into smaller micro- or meso-pores, effectively increasing water retention, especially at higher content of biochar. While biochar’s impact is more pronounced at higher matric potentials, it also significantly reduces conductivity at lower potentials. The total porosity of the soil increased under low biochar application rates (0% and 1%) but declined at higher application rates (2% and 3%) as the number of freeze–thaw cycles increased. Furthermore, the characteristics of soil deformation during freeze–thaw cycles shifted from frost heaving to thaw settlement with increasing biochar application rates. Notably, an optimal biochar application rate was observed to mitigate soil deformation induced by freeze–thaw processes. These findings contribute to the scientific understanding necessary for the development and management of sustainable agricultural soil systems. Full article
(This article belongs to the Section Water Use and Irrigation)
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<p>Schematic representation of compacted clay amended with biochar, depicting different biochar contents (B0, B2, B4, B8 denote 0%, 2%, 4%, and 8% biochar content, respectively), unit: mm.</p>
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<p>Variation in soil saturated hydraulic conductivity in response to freezing–thawing cycles and soil densities (1.105 g cm<sup>−3</sup>, 1.170 g cm<sup>−3</sup>, 1.235 g cm<sup>−3</sup>) at different biochar contents: (<b>a</b>) 0%, (<b>b</b>) 2%, (<b>c</b>) 4%, and (<b>d</b>) 8%.</p>
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<p>Variation in soil saturated hydraulic conductivity in response to freezing–thawing cycles and soil densities (1.105 g cm<sup>−3</sup>, 1.170 g cm<sup>−3</sup>, 1.235 g cm<sup>−3</sup>) at different biochar contents: (<b>a</b>) 0%, (<b>b</b>) 2%, (<b>c</b>) 4%, and (<b>d</b>) 8%.</p>
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<p>Variation in soil saturated hydraulic conductivity in response to freezing–thawing cycles and soil densities (1.105 g cm<sup>−3</sup>, 1.170 g cm<sup>−3</sup>, 1.235 g cm<sup>−3</sup>) at different biochar contents: (<b>a</b>) 0%, (<b>b</b>) 2%, (<b>c</b>) 4%, and (<b>d</b>) 8%.</p>
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<p>Effect of biochar addition on soil microstructure changes caused by freezing–thawing cycles.</p>
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<p>SEM image (2000×) of BAC specimens after freezing–thawing cycles: (<b>a</b>) B0N0; (<b>b</b>) B8N0; (<b>c</b>) B0N12; (<b>d</b>) B8N12.</p>
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<p>Effects of freezing–thawing on the SWRC of BAC with and without biochar treatment.</p>
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<p>The influence of biochar treatment on the water retention properties of compacted BAC at varying compaction water contents and a soil density of 1.235 g cm<sup>−3</sup>.</p>
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<p>The effects of freezing–thawing on the unsaturated hydraulic conductivity of BAC with and without biochar treatment.</p>
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20 pages, 10999 KiB  
Article
Characterization of the N6-Methyladenosine Gene Family in Peanuts and Its Role in Abiotic Stress
by Wei Wang, Jianxin Bian, Xiaoyu Liu and Xiaoqin Liu
Int. J. Plant Biol. 2025, 16(1), 7; https://doi.org/10.3390/ijpb16010007 - 6 Jan 2025
Viewed by 402
Abstract
Members of the m6A gene family are involved in key biological processes such as plant growth, development, stress responses, and light signal transduction. However, the function of m6A genes in peanuts has been understudied. Our analysis identified 61 m [...] Read more.
Members of the m6A gene family are involved in key biological processes such as plant growth, development, stress responses, and light signal transduction. However, the function of m6A genes in peanuts has been understudied. Our analysis identified 61 m6A family members in the peanut genome, including 21 writer genes, 22 eraser genes, and 18 reader genes, distributed across 20 chromosomes. Phylogenetic analysis revealed that ALKBH proteins are categorized into six subfamilies, while YTH family proteins form nine subfamilies. Promoter cis-element analysis indicated that m6A gene promoters contain light-responsive, hormone-responsive, growth-related, low-temperature defense, and other stress-related elements. Expression studies of AhALKBH8Ba and AhALKBH8Bb in various peanut tissues suggest that these genes play vital roles in peanut fruit needle development. Furthermore, AhETC1a and AhETC1b were significantly upregulated following the loss of mechanical pressure in peanut pods. This study identifies several key genes involved in light and mechanical stress response during peanut pod development. Full article
(This article belongs to the Section Plant Biochemistry and Genetics)
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<p>Role of plant m<sup>6</sup>A gene in stress response.</p>
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<p>Chromosomal distribution of the peanut m<sup>6</sup>A gene. Use the left ruler of the image to estimate the location of the m<sup>6</sup>A gene and the size of each chromosome; genes are shown at the right end of each chromosome.</p>
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<p>Phylogenetic tree of the peanut m<sup>6</sup>A gene. The phylogenetic tree of m<sup>6</sup>A genes were constructed using maximum likelihood (ML). (<b>A</b>) Phylogenetic tree was constructed based on the protein sequences of 22 eraser genes; (<b>B</b>) phylogenetic tree was constructed based on the protein sequences of 19 reader genes.</p>
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<p>Gene structure and conserved domains of the peanut m<sup>6</sup>A gene. (<b>A</b>) The distribution of ten conserved motifs in the m<sup>6</sup>A gene was analyzed by MEME. Different colors represent different patterns and positions; (<b>B</b>) analysis of the gene structure of the m<sup>6</sup>A gene. The yellow rectangle represents the exon, the light green rectangle represents the UTR, and the gray line connecting the two exons represents the intron.</p>
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<p>Collinearity analysis of the peanut m<sup>6</sup>A gene. The red lines represent the presence of collinearity between genes.</p>
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<p>Collinearity of the m<sup>6</sup>A gene among peanut, <span class="html-italic">Arabidopsis thaliana</span> and soybean. (<b>A</b>), Collinearity analysis of the writer gene. (<b>B</b>) Collinearity analysis of the eraser gene. (<b>C</b>) Collinearity analysis of the reader gene. The gray line represents the collinearity between all members, and the red line represents the collinearity between members of the m<sup>6</sup>A gene family.</p>
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<p>Promoter element analysis of the peanut m<sup>6</sup>A gene. Different cis-regulatory elements in the promoter are denoted by square bars of different colors.</p>
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<p>The heatmap presented the expression pattern of m<sup>6</sup>A genes in 15 tissues in peanut. The utilizing row-wise normalization with Z-scores based on previously published RNA-seq data. Main leaf, main stem leaf; Root, roots of 10 days postemergence; Flwr, petals, keel, and hypanthium sepals; AerPeg, elongating aerial pegs; Subpeg, elongating subterranean pegs; ExpPod, Pattee 1 pod; GynStlk, Pattee 1 stalk of gynophore; PodPt3, Pattee 3 pod; PerPt5, Pattee 5 pericarp; SdPt5, Pattee 5 seed; PerPt6, Pattee 6 pericarp; SdPt6, Pattee 6 seed; SdPt7, Pattee 7 seed; SdPt8, Pattee 8 seed; SdPt10, Pattee 10 seed [<a href="#B26-ijpb-16-00007" class="html-bibr">26</a>].</p>
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<p>The qRT-PCR showing the expression levels of 9 m<sup>6</sup>A genes.</p>
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<p>Expression of members of the peanut m<sup>6</sup>A gene under light and mechanical stress. The utilizing row-wise normalization with Z-scores based on previously published RNA-seq data. Peanut pods were immediately wrapped in air-permeable black paper bags to simulate the loss of mechanical stress alone, and D samples collected after 58 h of treatment (day 3) were designated D3. The pods were exposed to air for 58 h (day 3) to simulate darkness and loss of mechanical stress and were designated as sample L3. Two biological replicates were performed for each sample.</p>
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<p>m<sup>6</sup>A protein–protein interaction network.</p>
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26 pages, 3172 KiB  
Review
Recent Advances in the Mechanisms of Quality Degradation and Control Technologies for Peanut Butter: A Literature Review
by Xinyan Liu, Xuchun Zhu, Zhaowei Han and Hongzhi Liu
Foods 2025, 14(1), 105; https://doi.org/10.3390/foods14010105 - 2 Jan 2025
Viewed by 660
Abstract
As the quality of life continues to improve globally, there is an increasing demand for nutritious and high-quality food products. Peanut butter, a widely consumed and nutritionally valuable product, must meet stringent quality standards and exhibit excellent stability to satisfy consumer expectations and [...] Read more.
As the quality of life continues to improve globally, there is an increasing demand for nutritious and high-quality food products. Peanut butter, a widely consumed and nutritionally valuable product, must meet stringent quality standards and exhibit excellent stability to satisfy consumer expectations and maintain its competitive position in the market. However, its high fat content, particularly unsaturated fatty acids, makes it highly susceptible to quality deterioration during storage. Key issues such as fat separation, lipid oxidation, and rancidity can significantly compromise its texture, flavor, and aroma, while also reducing its shelf life. Understanding the underlying mechanisms that drive these processes is essential for developing effective preservation strategies. This understanding not only aids food scientists and industry professionals in improving product quality but also enables health-conscious consumers to make informed decisions regarding the selection and storage of peanut butter. Recent research has focused on elucidating the mechanisms responsible for the quality deterioration of peanut butter, with particular attention to the intermolecular interactions among its key components. Current regulatory techniques aimed at improving peanut butter quality encompass raw material selection, advancements in processing technologies, and the incorporation of food additives. Among these innovations, plant protein nanoparticles have garnered significant attention as a promising class of green emulsifiers. These nanoparticles have demonstrated potential for stabilizing peanut butter emulsions, thereby mitigating fat separation and oxidation while aligning with the growing demand for environmentally friendly food production. Despite these advances, challenges remain in optimizing the stability and emulsifying efficiency of plant protein nanoparticles to ensure the long-term quality and stability of peanut butter. Future research should focus on improving the structural properties and functional performance of these nanoparticles to enhance their practical application as emulsifiers. Such efforts could provide valuable theoretical and practical insights into the development of stable, high-quality peanut butter, ultimately advancing the field of food science and technology. Full article
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<p>Countries with high consumption of peanut butter worldwide. Source: the figure was drawn using BioRender (<a href="https://www.biorender.com/" target="_blank">https://www.biorender.com/</a>).</p>
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<p>Peanut grease layering (a phenomenon that occurs when oil and sauce are separated) (photo by Xinyan Liu). Source: the figure was drawn using BioRender.</p>
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<p>Fat oxidation reaction processes. Source: the figure was drawn using BioRender.</p>
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<p>Lipid oxidation, Maillard reaction, and microbial contamination—interactions. Source: the figure was drawn using BioRender.</p>
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<p>Interaction of peanut butter ingredients. Source: the figure was drawn using BioRender.</p>
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<p>Protein nanoparticle preparation method and the role of plant protein nanoparticles. Source: the figure was drawn using BioRender.</p>
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<p>Diversified use of peanut butter in the diet. Source: the figure was drawn using BioRender.</p>
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17 pages, 2430 KiB  
Article
Ethephon and Diethyl Aminoethyl Mixture (EDAH) Reduces Maize Lodging and Enhances Overall Productivity in Maize/Peanut Intercropping
by Xiaojin Zou, Jiayi Xu, Huasen Xu, Liang Gong, Lizhen Zhang, Ying Wang, Liangshan Feng and Zhanxiang Sun
Agronomy 2025, 15(1), 84; https://doi.org/10.3390/agronomy15010084 - 31 Dec 2024
Viewed by 305
Abstract
The plant growth regulator EDAH, a combination of ethephon and diethyl aminoethyl hexanoate, has been shown to reduce maize lodging and increase crop yield under monoculture systems. However, its effectiveness under intercropping conditions remains uncertain. This study presents findings from a three-year (2020–2022) [...] Read more.
The plant growth regulator EDAH, a combination of ethephon and diethyl aminoethyl hexanoate, has been shown to reduce maize lodging and increase crop yield under monoculture systems. However, its effectiveness under intercropping conditions remains uncertain. This study presents findings from a three-year (2020–2022) experiment that investigated the effects of EDAH application on maize and peanut yields, as well as lodging rates, within a maize/peanut intercropping system. The experimental setup included four treatments: sole maize without EDAH, sole peanut without EDAH, intercropped maize and peanut without EDAH, and intercropped maize and peanut with EDAH. Results across the three years revealed that foliar application of EDAH significantly increased maize yield by 13.6% and peanut yield by 28.3%, compared to the non-EDAH treatment in the intercropping system. Moreover, the land-equivalent ratio improved by 13.4%, indicating better land use efficiency. Maize lodging in the intercropping system with EDAH decreased by 48.7%. Additionally, EDAH-treated maize in the intercropping system exhibited a 12.1% reduction in plant height and a 27.7% reduction in ear height compared to untreated maize. The internodes 1–5 of EDAH-treated intercropped maize were 1.93–7.80 cm shorter, while the basal internode diameter increased by 3.30 to 4.90 cm. These morphological changes contributed to improved stalk strength, as evidenced by increases in stalk crush strength, rind penetration strength, and bending strength, which together improved maize lodging resistance. Collectively, these results suggest that the application of EDAH is a promising measure to reduce maize lodging and increase overall crop productivity in maize/peanut intercropping systems. Full article
(This article belongs to the Section Innovative Cropping Systems)
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<p>Layout in each maize/peanut intercropping plot of the field experiment. There are 12 rows per plot, with 3 intercropping strips. Each intercropping strip contains 2 rows of maize and 2 rows of peanuts. The row spacing was 60 cm for maize and peanut.</p>
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<p>Yields of maize (<b>A</b>) and peanut (<b>B</b>) in sole cropping and in maize/peanut intercropping with applying plant growth regulator (EDAH) in 2020–2022. The plant growth regulator EDAH was sprayed at the time of 7 fully expanded leaves. The bars indicate the standard error of triplicates. The lowercase letters indicate significant differences among different treatments in the same year (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Yield components of maize (<b>A</b>–<b>C</b>) and peanut (<b>D</b>–<b>F</b>) in sole cropping and in maize/peanut intercropping with applying plant growth regulator (EDAH) during 2020–2022. The EDAH was sprayed on maize leaves at the time of 7 fully expanded leaves. The bars indicate the standard error of triplicates. The lowercase letters indicate significant differences among different treatments in the same year (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Maize stalk lodging (<b>A</b>) and root lodging (<b>B</b>) in sole cropping and in maize/peanut intercropping with applying plant growth regulator (EDAH) during 2020–2022. The EDAH was sprayed on maize leaves at the time of 7 fully expanded leaves. The bars indicate the standard error of triplicates. The lowercase letters indicate significant differences among different treatments in the same year (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Maize plant height (<b>A</b>) and ear height (<b>B</b>) in sole cropping and in maize/peanut intercropping with plant growth regulator (EDAH) during 2020–2022. The EDAH was sprayed on maize leaves at the time of 7 fully expanded leaves. The bars indicate the standard error of triplicates. The lowercase letters indicate significant differences among different treatments in the same year (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Maize stem diameter of the middle of 1st internode in sole cropping and in maize/peanut intercropping with plant growth regulator (EDAH) during 2020–2022. The EDAH was sprayed on maize leaves at the time of 7 fully expanded leaves. The bars indicate the standard error of triplicates. The lowercase letters indicate significant differences among different treatments in the same year (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Length of each internode of maize in sole cropping and in maize/peanut intercropping with plant growth regulator (EDAH) in 2020 (<b>A</b>), 2021 (<b>B</b>), and 2022 (<b>C</b>). The EDAH was sprayed on maize leaves at the time of 7 fully expanded leaves. The bars indicate the standard error of triplicates. The arrows indicate maize ear positions.</p>
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<p>Maize aerial root number in sole cropping and in maize/peanut intercropping with plant growth regulator (EDAH) during 2020–2022. The EDAH was sprayed on maize leaves at the time of 7 fully expanded leaves. The bars indicate the standard error of triplicates. The lowercase letters indicate significant differences among different treatments in the same year (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Lodging-related physiological traits–crush (CS; <b>A</b>), rind penetration strength (RPS; <b>B</b>), and bend strengths (BS; <b>C</b>) for the middle of 3rd internode when maize was grown in sole cropping and in maize/peanut intercropping with plant growth regulator (EDAH) during 2020–2022. The EDAH was sprayed on maize leaves at the time of 7 fully expanded leaves. The bars indicate the standard error of triplicates. The lowercase letters indicate significant differences among different treatments in the same year (<span class="html-italic">p</span> &lt; 0.05).</p>
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17 pages, 9272 KiB  
Review
An Overview on the Manufacture and Properties of Clay-Based Porous Ceramics for Water Filtration
by Iffat Qoudsiyyah Maury Njoya, Gisèle Laure Lecomte-Nana, Kassoum Barry, Dayirou Njoya, Youssef El Hafiane and Claire Peyratout
Ceramics 2025, 8(1), 3; https://doi.org/10.3390/ceramics8010003 - 30 Dec 2024
Viewed by 387
Abstract
This study explores the different techniques used to manufacture porous clay-based ceramics, examining their properties such as porosity, strength, permeability and filtration efficiency. Different techniques are discussed in this review, with additive manufacturing being one of the most innovative techniques for manufacturing porous [...] Read more.
This study explores the different techniques used to manufacture porous clay-based ceramics, examining their properties such as porosity, strength, permeability and filtration efficiency. Different techniques are discussed in this review, with additive manufacturing being one of the most innovative techniques for manufacturing porous ceramics. Porous ceramics have their applications in numerous domains. Such ceramic filters have the advantages of retaining heavy materials, suspended particles, bacteria, viruses and, water turbidity. Thus, the choice of the technique and propriety is a crucial step in obtaining a porous ceramic with the best performance. Barry et al. prepared porous phyllosilicate-based ceramics by freeze-tape casting on four samples and obtained porosity values in the range of 67–79% and diametrical compressive strength in the range of 3–7 MPa. Manni et al. prepared porous red ceramics from Moroccan clay and coffee waste (10, 20 and 30 wt.%) via uniaxial pressing and sintering at 1150 °C. They obtained porosities ranging from 30.2 to 63.8% and flexural strength values from 1.8 to 19.5 MPa. Medri et al. prepared ZrB2-based porous bodies with the use of sponges and polyurethane foams as templates via the replica method and obtained high porosity over 80% and compressive strength up to 4.8 MPa. The use of clay and peanut shell mixtures was used in preparing porous silicate ceramics after unidirectional pressing and sintering at 1100 °C. These samples included 25 mass% of peanut shells, and exhibited porosity in the range of 40 to 60% and diametrical compressive strength in the range of 1–6 MPa. Such properties are suitable for domestic use of these types of clay-based ceramic filters. Moreover, the permeability values and removal of some pollutants, like arsenic, have been satisfactory for the first set of samples. Full article
(This article belongs to the Special Issue Innovative Manufacturing Processes of Silicate Materials)
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<p>Illustrating the use of water from a well, river and drill for drinking purposes.</p>
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<p>Applications of porous ceramics.</p>
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<p>Evolution of the number of research articles published on “porous ceramics” according to the Scopus database since 2010 [<a href="#B3-ceramics-08-00003" class="html-bibr">3</a>].</p>
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<p>Some shaping techniques for ceramic production [<a href="#B22-ceramics-08-00003" class="html-bibr">22</a>,<a href="#B23-ceramics-08-00003" class="html-bibr">23</a>].</p>
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<p>Main steps in the manufacturing of ceramics: direct foaming (<b>a</b>), replication technique (<b>b</b>), partial sintering process (<b>c</b>) and methods using pore-forming agents mixed with ceramic powders (<b>d</b>).</p>
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<p>SEM images of Halloysite (<b>a</b>) and Kaolin (<b>b</b>) based porous ceramics (shaped by uniaxial pressing and sintered at 1100 °C).</p>
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<p>SEM images of porous kaolin- and halloysite-based ceramics (shaped by freeze-tape casting and sintered at 1200 °C).</p>
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<p>SEM image of halloysite clay and peanut shell-based porous ceramic (shaped by uniaxial pressing and sintered at 1100 °C).</p>
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<p>SEM images of kaolinitic clay and peanut shell-based porous ceramics sintered at 900 (<b>a</b>) and 1100 °C (<b>b</b>) [<a href="#B56-ceramics-08-00003" class="html-bibr">56</a>].</p>
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<p>Example of arsenic (III) absorption mechanism onto a kaolinitic-based porous ceramic [<a href="#B56-ceramics-08-00003" class="html-bibr">56</a>].</p>
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11 pages, 234 KiB  
Article
Response of Non-Irrigated Peanut to Multiple Rate Delayed Flumioxazin Applications
by Nicholas L. Hurdle, Timothy L. Grey, Juliana de Souza Rodrigues and W. Scott Monfort
Agronomy 2025, 15(1), 64; https://doi.org/10.3390/agronomy15010064 - 29 Dec 2024
Viewed by 519
Abstract
Flumioxazin is crucial for peanut weed management across the United States with over 75% of growers applying it to control troublesome weed species. For maximum peanut yield, it is essential that weed control is maintained during weeks three through eight after planting. Peanut [...] Read more.
Flumioxazin is crucial for peanut weed management across the United States with over 75% of growers applying it to control troublesome weed species. For maximum peanut yield, it is essential that weed control is maintained during weeks three through eight after planting. Peanut injury due to flumioxazin PRE applied has been noted under unfavorable moisture or weather conditions, but also due to delays in application as growers plant hundreds of hectares on their farms. Research in Georgia (GA) investigated the response of non-irrigated peanut to flumioxazin PRE applied from 0 to 107 g ai/ha at 0 to 14 d after planting for cultivar Georgia-16HO. Trends during the 2020 through 2022 growing seasons indicated that as rate and time after planting of application increased, injury increased. Over 50% injury was noted in Tift County and 24% in Sumter County during the 2021 growing season. Peanut pod yield decreased while flumioxazin rate increased and time of application after planting was delayed in Tift County, but no differences were noted in Sumter County, potentially due to soil adsorption of the herbicide. Yield differences of up to 800 kg/ha were noted when comparing no herbicide being applied to the full application rate. The recorded injury coincided with large amounts of rainfall at both locations. It was also noted that peanut may be most sensitive to flumioxazin application injury between days seven and ten after planting. Full article
(This article belongs to the Special Issue Pest Control Technologies Applied in Peanut Production Systems)
11 pages, 1691 KiB  
Article
Cooperation Between Rhodococcus qinshengii and Rhodococcus erythropolis for Carbendazim Degradation
by Roosivelt Solano-Rodríguez, Fortunata Santoyo-Tepole, Mario Figueroa, Voleta Larios-Serrato, Nora Ruiz-Ordaz, Abigail Pérez-Valdespino and Everardo Curiel-Quesada
Microorganisms 2025, 13(1), 40; https://doi.org/10.3390/microorganisms13010040 - 29 Dec 2024
Viewed by 423
Abstract
Carbendazim (CBZ) is a fungicide widely used on different crops, including soybeans, cereals, cotton, tobacco, peanuts, and sugar beet. Excessive use of this xenobiotic causes environmental deterioration and affects human health. Microbial metabolism is one of the most efficient ways of carbendazim elimination. [...] Read more.
Carbendazim (CBZ) is a fungicide widely used on different crops, including soybeans, cereals, cotton, tobacco, peanuts, and sugar beet. Excessive use of this xenobiotic causes environmental deterioration and affects human health. Microbial metabolism is one of the most efficient ways of carbendazim elimination. In this work, Rhodococcus qingshengii RC1 and Rhodococcus erythropolis RC9 were isolated from a bacterial community growing in a biofilm reactor acclimated with microbiota from carbendazim-contaminated soil. Sequencing analysis of genomes of both strains revealed the presence of cbmA, the gene coding for the enzyme that hydrolyses carbendazim to produce 2-aminobenzimidazole (2-AB). The alternative gene for the first catabolic step (mheI) was detected by PCR in strain RC9 but not in RC1. Metabolomic analysis by HPLC and LC-MS showed that both strains have the ability to metabolize carbendazim. R. qingshengii RC1 converts carbendazim to 2-AB, the first degradation intermediary, while R. erythropolis RC9 metabolizes the fungicide to its mineralization, probably because R. qingshengii RC1 lacks the hdx gene coding for 2-AB hydroxylase. HRESIMS-MS/MS results indicate that R. erythropolis RC9 metabolizes carbendazim by cleavage of the benzene ring and subsequent formation of 5-formyl-2-hydroxy-4,5-dihydro-1H-imidazole-4-carboxylic acid (X2 C5H6N2O4). The presence of carbendazim metabolites in culture supernatants of strains RC9 and RC1 suggests that both strains contribute to the efficient degradation of carbendazim in nature. Full article
(This article belongs to the Section Molecular Microbiology and Immunology)
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<p>Phylogenomic analysis of whole <span class="html-italic">Rhodococcus</span> spp. genome sequences using VAMPhyRE. Numbers on branches indicate genetic distances. Red boxes highlight the genomes sequenced in this study. Corresponding ANI and <span class="html-italic">is</span>DDH values are also shown.</p>
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<p>HPLC analysis of carbendazim biodegradation by <span class="html-italic">R. qingshengii</span> RC1 and <span class="html-italic">R. erythropolis</span> RC9.</p>
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<p>Proposed routes of carbendazim degradation by <span class="html-italic">R. qingshengii</span> RC1 and <span class="html-italic">R. erythropolis</span> RC9. The metabolite in the dotted red box was identified by HRESIMS-MS/MS (dotted red circle) in the intracellular extract of RC9.</p>
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<p>Maps of the complete chromosomes and plasmids of <span class="html-italic">Rhodococcus</span> strains; (<b>A</b>) RC9 and (<b>B</b>) RC1. Genes involved in CBZ degradation, proposed by Long et al. [<a href="#B19-microorganisms-13-00040" class="html-bibr">19</a>], are shown.</p>
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31 pages, 724 KiB  
Review
A Review of the Mycotoxin Family of Fumonisins, Their Biosynthesis, Metabolism, Methods of Detection and Effects on Humans and Animals
by Christian Kosisochukwu Anumudu, Chiemerie T. Ekwueme, Chijioke Christopher Uhegwu, Chisom Ejileugha, Jennifer Augustine, Chioke Amaefuna Okolo and Helen Onyeaka
Int. J. Mol. Sci. 2025, 26(1), 184; https://doi.org/10.3390/ijms26010184 - 28 Dec 2024
Viewed by 538
Abstract
Fumonisins, a class of mycotoxins predominantly produced by Fusarium species, represent a major threat to food safety and public health due to their widespread occurrence in staple crops including peanuts, wine, rice, sorghum, and mainly in maize and maize-based food and feed products. [...] Read more.
Fumonisins, a class of mycotoxins predominantly produced by Fusarium species, represent a major threat to food safety and public health due to their widespread occurrence in staple crops including peanuts, wine, rice, sorghum, and mainly in maize and maize-based food and feed products. Although fumonisins occur in different groups, the fumonisin B series, particularly fumonisin B1 (FB1) and fumonisin B2 (FB2), are the most prevalent and toxic in this group of mycotoxins and are of public health significance due to the many debilitating human and animal diseases and mycotoxicosis they cause and their classification as by the International Agency for Research on Cancer (IARC) as a class 2B carcinogen (probable human carcinogen). This has made them one of the most regulated mycotoxins, with stringent regulatory limits on their levels in food and feeds destined for human and animal consumption, especially maize and maize-based products. Numerous countries have regulations on levels of fumonisins in foods and feeds that are intended to protect human and animal health. However, there are still gaps in knowledge, especially with regards to the molecular mechanisms underlying fumonisin-induced toxicity and their full impact on human health. Detection of fumonisins has been advanced through various methods, with immunological approaches such as Enzyme-Linked Immuno-Sorbent Assay (ELISA) and lateral flow immunoassays being widely used for their simplicity and adaptability. However, these methods face challenges such as cross-reactivity and matrix interference, necessitating the need for continued development of more sensitive and specific detection techniques. Chromatographic methods, including HPLC-FLD, are also employed in fumonisin analysis but require meticulous sample preparation and derivitization due to the low UV absorbance of fumonisins. This review provides a comprehensive overview of the fumonisin family, focusing on their biosynthesis, occurrence, toxicological effects, and levels of contamination found in foods and the factors affecting their presence. It also critically evaluates the current methods for fumonisin detection and quantification, including chromatographic techniques and immunological approaches such as ELISA and lateral flow immunoassays, highlighting the challenges associated with fumonisin detection in complex food matrices and emphasizing the need for more sensitive, rapid, and cost-effective detection methods. Full article
(This article belongs to the Special Issue Mycotoxins and Food Toxicology)
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<p>Chemical structures of the major fumonisins [<a href="#B68-ijms-26-00184" class="html-bibr">68</a>].</p>
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30 pages, 1247 KiB  
Review
Vegetable Oils and Their Use for Frying: A Review of Their Compositional Differences and Degradation
by Susana Abrante-Pascual, Barbara Nieva-Echevarría and Encarnacion Goicoechea-Oses
Foods 2024, 13(24), 4186; https://doi.org/10.3390/foods13244186 - 23 Dec 2024
Viewed by 1018
Abstract
This review provides an overview of the main vegetable oils of different botanical origin and composition that can be used for frying worldwide (olive and extra-virgin olive oil, high-oleic sunflower oil, rapeseed oil, peanut oil, rice bran oil, sunflower oil, corn oil, soybean [...] Read more.
This review provides an overview of the main vegetable oils of different botanical origin and composition that can be used for frying worldwide (olive and extra-virgin olive oil, high-oleic sunflower oil, rapeseed oil, peanut oil, rice bran oil, sunflower oil, corn oil, soybean oil, cottonseed oil, palm oil, palm kernel oil and coconut oil) and their degradation during this process. It is well known that during this culinary technique, oil’s major and minor components degrade throughout different reactions, mainly thermoxidation, polymerization and, to a lesser extent, hydrolysis. If severe high temperatures are employed, isomerization to trans fatty acyl chains and cyclization are also possible. The factors conditioning frying medium degradation are addressed, including oil composition (unsaturation degree, fatty acyl chain length and “free” fatty acid content, and presence of beneficial and detrimental minor components), together with frying conditions and food characteristics. Likewise, this review also tackles how the frying oil and other processing conditions may impact on fried food quality (oil absorption, texture, flavor and color). Finally, potential health implications of fried food consumption are briefly reviewed. Full article
(This article belongs to the Section Food Physics and (Bio)Chemistry)
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<p>Main physical and chemical phenomena occurring during food deep frying. Adapted from [<a href="#B61-foods-13-04186" class="html-bibr">61</a>,<a href="#B62-foods-13-04186" class="html-bibr">62</a>].</p>
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<p>Schematic representation of the main reactions occurring in unsaturated lipids during frying process. Adapted from [<a href="#B59-foods-13-04186" class="html-bibr">59</a>].</p>
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<p>Possible chemical structures that can be generated during frying in the oxidation of linoleic chain (C18:2ω6) supported in position <span class="html-italic">sn</span>-1 of triglyceride (TG). R and R’ substituents can be different FA. Adapted from [<a href="#B90-foods-13-04186" class="html-bibr">90</a>].</p>
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<p>Schematic representation of the molecular structures of polymeric compounds that can be generated during frying. Adapted from [<a href="#B59-foods-13-04186" class="html-bibr">59</a>].</p>
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16 pages, 3727 KiB  
Article
Developing a Cryopreservation Protocol for Embryonic Axes of Six South American Peanut Genotypes (Arachis hypogaea L.) Using Desiccation–Vitrification
by Marcelo Tacán, Raquel Andrango, César Tapia, Marten Sørensen, Rainer Vollmer and César Pérez
Crops 2024, 4(4), 701-716; https://doi.org/10.3390/crops4040048 - 23 Dec 2024
Viewed by 304
Abstract
The present study investigates the cryopreservation of embryonic axes from the peanut genotype ECU-12466, demonstrating a successful protocol involving a 1 h desiccation on silica gel followed by a 1 h cryoprotection with Plant Vitrificatin Solution 2 (PVS2). The average dimensions of the [...] Read more.
The present study investigates the cryopreservation of embryonic axes from the peanut genotype ECU-12466, demonstrating a successful protocol involving a 1 h desiccation on silica gel followed by a 1 h cryoprotection with Plant Vitrificatin Solution 2 (PVS2). The average dimensions of the excised embryonic axes were 5.6 mm in length and 3.5 mm in width, with plumule lengths averaging 2.2 mm. Notably, germination rates for cryopreserved axes ranged from 71.4% to 85.7%, showing resilience to varying desiccation and PVS2 treatment times, particularly at 1 h. Shoot length was significantly enhanced by a 1 h PVS2 exposure, while longer durations resulted in phytotoxic effects. Rooting rates were higher for samples treated with shorter desiccation periods, with 54% rooting achieved at 1 h of PVS2 exposure, contrasting sharply with just 16% at 2 h. The moisture content of the embryonic axes remained stable between 9.3% and 9.5%, indicating no detrimental impact from the applied treatments. To evaluate the protocol’s broader applicability, five additional peanut genotypes (ECU-11401, ECU-11418, ECU-11448, ECU-11469, and ECU-11494) were tested. While cryopreserved samples demonstrated high germination rates of up to 95.4% after 15 days, the rooting success was significantly lower (25.2%) compared to the control group’s 90.9%. Following transplantation, the growth performance varied among genotypes, with a success rate of 93% for ECU-11494. Overall, this study elucidates the critical parameters for optimizing cryopreservation protocols in peanut embryonic axes, contributing to more effective long-term conservation strategies. Full article
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<p>Schematic view of peanut seed.</p>
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<p>Germination and shoot formation of cryopreserved embryonic axes (+LN) of <span class="html-italic">A. hypogaea</span> (ECU-12466), 0 days (<b>a</b>), 10 days (<b>b</b>), 15 days (<b>c</b>), and 30 days (<b>d</b>) after rewarming.</p>
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<p>Seedlings grown from cryopreserved embryonic axes (+LN) of <span class="html-italic">A. hypogaea.</span> The two plants belong to the genotype ECU-12466, with the presence of flowering 3 months after transplanting. The flowers are highlighted with arrows.</p>
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<p>Length and width of 20 embryonic axes of A. hypogaea (ECU-12466), together with the dimensions of the plumule. Cross: media value. Empty circles: Individual measurements.</p>
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<p>Effect of desiccation with silica gel and cryoprotection with PVS2 on the germination rate (<b>A</b>,<b>B</b>), rooting rate (<b>C</b>,<b>D</b>), and shoot length (<b>E</b>,<b>F</b>) of cryopreserved embryonic axes (+LN) of <span class="html-italic">A. hypogaea</span> (genotype ECU-12466), 10, 15, and 30 days after thawing.</p>
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<p>Shoot length (after 30 days) of cryopreserved embryonic axes (+LN) of five peanut accessions (genotypes ECU-11401, ECU-11418, ECU-11448, ECU-11469, and ECU-11494) together with their control treatments (−LN). The embryonic axes were desiccated on silica gel for 1 h and treated for 1 h with PVS2 prior to exposure to LN. Different lower- and uppercase letters indicate significant differences in the average shoot length of the accessions and the effect of liquid nitrogen (−LN vs. +LN), respectively. Comparison was performed using the Tukey multiple comparison test (<span class="html-italic">p</span> &lt; 0.05). Black circle: mean; black triangle: median. Average bars are highlighted in green.</p>
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<p>Seedlings grown from cryopreserved embryonic axes (+LN) of five accessions of the Ecuadorian peanut collection: (<b>a</b>) ECU-11418, (<b>b</b>) ECU-11448, (<b>c</b>) ECU-11494, (<b>d</b>) ECU-11469, and (<b>e</b>) ECU-11401. The photos show the plants 3 months after having been transplanted to pots.</p>
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27 pages, 1920 KiB  
Review
Recent Technological Advancements for Identifying and Exploiting Novel Sources of Pest and Disease Resistance for Peanut Improvement
by Akshaya Kumar Biswal, Peggy Ozias-Akins and Carl Corley Holbrook
Agronomy 2024, 14(12), 3071; https://doi.org/10.3390/agronomy14123071 - 23 Dec 2024
Viewed by 518
Abstract
Peanut, also known as groundnut (Arachis hypogaea L.), is an important oilseed and food crop globally, contributing significantly to the economy and food security. However, its productivity is often hampered by pests and diseases. Traditional breeding methods have been used to develop [...] Read more.
Peanut, also known as groundnut (Arachis hypogaea L.), is an important oilseed and food crop globally, contributing significantly to the economy and food security. However, its productivity is often hampered by pests and diseases. Traditional breeding methods have been used to develop resistant cultivars, but these are often time-consuming and labor-intensive. Recent technological advancements have revolutionized the identification of novel resistance sources and the development of resistant peanut cultivars. This review explores the latest techniques and approaches used in peanut breeding for pest and disease resistance, focusing on the identification of resistance loci and their incorporation into peanut using marker-assisted selection (MAS) and genomic tools. Next-generation sequencing (NGS) technologies, bioinformatics pipelines, comparative genomics, and transcriptomics have helped identify a plethora of candidate genes involved in pest resistance. However, peanut lags behind other cereal crops in terms of phenomics and precision genetic techniques for their functional validation. In conclusion, recent technological advancements have significantly improved the efficiency and precision of peanut breeding for pest and disease resistance and hold great promise for developing durable and sustainable resistance in peanut cultivars, ultimately benefiting peanut farmers and consumers globally. Full article
(This article belongs to the Special Issue Pest Control Technologies Applied in Peanut Production Systems)
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<p>Application of recent technologies in peanut breeding. This figure illustrates the synergy between traditional breeding techniques and modern genomic tools, underscoring the potential for developing pest and disease-resistant peanut cultivars with enhanced adaptability: (1) germplasm collection includes wild-type peanut plants, landraces, and breeding populations, serving as the genetic foundation for breeding efforts, (2) schematic representation of a breeding population, (3) identification and selection of lines exhibiting resistance to specific diseases, (4) accelerated generation advancement through controlled environment techniques, facilitating faster selection cycles, (5) establishment of recombinant inbred lines (RILs), near-isogenic lines (NILs), multi-parent advanced generation inter-cross (MAGIC) populations, and nested association mapping (NAM) populations to enhance genetic diversity and study complex traits, (6) use of PCR, SNP arrays, and whole-genome sequencing to characterize genetic variation, (7) analysis of marker–trait or SNP–trait associations, QTL mapping and development of molecular markers for key agronomic traits, (8) evaluation of breeding lines across different environments to assess genotype × environment interactions through multilocation trials, (9) computational approaches to predict candidate genes associated with desirable traits, (10) application of molecular markers to select and develop disease-resistant cultivars, (11) use of CRISPR-mediated genome editing and other reverse genetic tools for functional validation of candidate genes and development of improved germplasm, and (12) integration of genomic data to predict and select superior parents for breeding programs, and (13) an improved peanut variety developed through MAS, genome editing, or other reverse genetics technologies.</p>
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11 pages, 1426 KiB  
Article
Quantification of Viable Salmonella by Propidium Monoazide Real-Time PCR After Long-Term Storage of Peanut Products
by Aline M. von Hertwig, André A. Pereira, Dionisio Pedro Amorim Neto and Maristela S. Nascimento
Microorganisms 2024, 12(12), 2640; https://doi.org/10.3390/microorganisms12122640 - 19 Dec 2024
Viewed by 343
Abstract
In this study, the performance of quantitative PCR, combined or not with propidium monoazide (PMA), to recover Salmonella from peanut products after different storage times was evaluated. The samples were inoculated with 5–6 log cfu g−1 of Salmonella Typhimurium ATCC 14028 and [...] Read more.
In this study, the performance of quantitative PCR, combined or not with propidium monoazide (PMA), to recover Salmonella from peanut products after different storage times was evaluated. The samples were inoculated with 5–6 log cfu g−1 of Salmonella Typhimurium ATCC 14028 and stored at 28 °C for up to 540 d. The correlation between the threshold cycle number (Ct) and the colony-forming units (cfu) was obtained by a standard curve, which showed a linear correlation (R2 = 0.97). The highest counts were recovered by qPCR (p < 0.05); however, it quantified both viable and non-viable cells. For roasted peanuts, a significant difference (p < 0.05) between qPCR-PMA and the culture method was verified only for samples stored for 30 d, i.e., 2.8 versus 4.0 log cfu g−1. Further, there was no VBNC status in the roasted peanuts, even after long-term exposure to desiccation stress. For peanut-based products, after 540 d, only paçoca showed a significant difference (p < 0.05) among the three methods evaluated. In peanut brittle, qPCR-PMA detected 1.5 log cfu g−1, while, in the culture method, Salmonella was recovered in 1 g. The pathogen was below the detection limit in pé-de-moça either by plate count or qPCR-PMA. Therefore, qPCR-PMA shows potential for use in quantifying Salmonella in peanut products. Full article
(This article belongs to the Special Issue Salmonella Infections: Trends and Updates)
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<p>Linear relationship between the threshold cycle (Ct) and the bacterial count (log cfu mL<sup>−1</sup>). y = Ct observed and x = log cfu mL<sup>−1</sup>. The solid line represents the linear fit and the dashed lines represent the 95% confidence interval bands.</p>
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<p>Quantification of <span class="html-italic">Salmonella</span> population (log cfu g<sup>−1</sup>) in roasted peanut kernels after storage at 28 °C over 540 d by qPCR, qPCR-PMA and culture method (XLD agar). qPCR = real-time PCR; PMA = propidium monoazide. Limit of quantification = 1 log cfu g<sup>−1</sup> and 41 Ct. Values obtained from two independent trials.</p>
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<p>Bland–Altman analysis of the agreement between the individual values of the <span class="html-italic">Salmonella</span> population obtained in the culture method (log cfu g<sup>−1</sup>) and those predicted by qPCR-PMA from roasted peanuts stored for 30, 60, 120, 180 and 540 d. The thin solid line represents the bias, while the lower and upper 95% limits of agreement are represented as dashed lines. The bold solid line represents the zero line.</p>
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