Journal of Food Composition and Analysis最新文献

{"title":"Development of a closed infrared-assisted system for sample digestion in trace element analysis procedures","authors":"Fábia Pinho Rocha Peixoto ,&nbsp;Dalton Mendes de Abreu ,&nbsp;Paulo Gledson Ribeiro Peixoto ,&nbsp;Wladiana Oliveira Matos ,&nbsp;Gisele Simone Lopes","doi":"10.1016/j.jfca.2025.107452","DOIUrl":"10.1016/j.jfca.2025.107452","url":null,"abstract":"<div><div>Trace element analysis in organic samples commonly requires a sample digestion step for releasing the elements of interest from the solid matrix into solution and reduce organic carbon content that might be an interferent for many analytical techniques. In this work, a high pressure and temperature wet digestion system assisted by infrared radiation (IR) was developed. The IR-assisted closed system was assembled using halogen lamp (500 W), a power control of the lamp, quartz vessels with lock, relief valve and temperature control. The experimental parameters of digestion procedure were studied using a full factorial design. The optimal condition was 15 min of heating time to 200 °C, remaining at 200 °C during 5 min. The total organic carbon (TOC) content of two reference materials (fish tissue and bovine liver) after digestion was quantified to evaluate the efficiency of the proposed system. The TOC content in the digests (60 mg L⁻¹) was compatible with ICP-OES, which makes feasible the quantification of Ca, Cu, Fe, K, Mg and Zn in the samples with accuracy. The IR-assisted closed system proved to be a promising, operational and cost-effective arrangement to be applied as an alternative for organic sample digestion to aim elemental trace analysis.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107452"},"PeriodicalIF":4.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the effects of water management and silicon or phosphorus pretreatment on arsenic accumulation in rice grains","authors":"Mengfan Jia ,&nbsp;Yanli Li ,&nbsp;Zhengfu Yue ,&nbsp;Min Nie ,&nbsp;Lirong Li ,&nbsp;Yuepeng Yin ,&nbsp;Zhigao Zhou ,&nbsp;Xingxiang Wang ,&nbsp;Changfeng Ding","doi":"10.1016/j.jfca.2025.107465","DOIUrl":"10.1016/j.jfca.2025.107465","url":null,"abstract":"<div><div>Water management or individual phosphorus (P) and silicon (Si) fertilizers have been demonstrated to be effective in inhibiting arsenic (As) accumulation in rice; however, the nature of their synergistic effects remains unclear. Here, this study innovatively combines complementary water management and seedling enrichment techniques by potted plant experiments to investigate their collaborative impact on As accumulation in rice. The core mechanism involves the regulation of As³⁺ and dimethyl arsenic (DMA), which are prevalent under flooded conditions, by Si transport proteins. In contrast, P primarily regulates As⁵⁺, which is abundant under wet-dry alternating conditions. Here, our results showed that the Si accumulation in the seedlings after Si pretreatment was increased by 38- and 24-fold compared to the control in the two rice varieties Huaghuazhan and Nanjing 46, while P was increased by 3.9- and 3.6-fold by P pretreatment, respectively. Specifically, in the roots of Si-pretreated seedlings, As-related genes were primarily down-regulated, including <em>OsLsi1</em> (20.0 % and 44.0 %) and <em>OsLsi2</em> (28.5 % and 29.5 %), while <em>OsABCC1</em> was upregulated by 54.0 % and 42.7 %. Similarly, in the P-pretreated seedlings, the relative expression of <em>OsPT1</em> in both varieties was significantly decreased by 43.5 % and 64.7 %, while the relative expression of <em>OsABCC1</em> in Nanjing 46 was upregulated by 58.5 %. After transplanting seedlings pretreated with Si and P into As-contaminated paddy soil and applying appropriate water management, the translocation of As from roots to stems and from node I to grains was significantly reduced. Consequently, the concentrations of total As, As(III), As(V), and dimethylarsinic acid (DMA) in the grains of both rice varieties were decreased by 12.2–31.6 %, 9.73–29.8 %, 5.23–25.0 %, and 11.9–36.7 %, respectively. Moreover, the structural equation model further confirmed that the cultivation of rice seedlings pretreated with Si or P modulates the expression of arsenic-related genes in rice roots, resulting in a reduction of arsenic content in the rice grains. The coupling effects between water management and seedling pretreatment have been demonstrated to be effective for mitigating As contamination in rice, which holds significant practical value for addressing As pollution in paddy fields.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107465"},"PeriodicalIF":4.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of amylose content in rice samples with spectral augmentation and advanced machine learning","authors":"Kamini G. Panchbhai ,&nbsp;Madhusudan G. Lanjewar","doi":"10.1016/j.jfca.2025.107455","DOIUrl":"10.1016/j.jfca.2025.107455","url":null,"abstract":"<div><div>Amylose content (AC) in rice samples constitutes one of the many essential indicators for determining its eating taste and quality. This paper describes an integrated strategy using spectroscopy (12000–4000cm⁻¹), spectral pre-processing, data/spectral augmentation, wavelengths/features selection, and sophisticated machine learning (ML) approaches to identify AC in rice samples reliably. Two scenarios were tested: one with the original dataset and another with SMOTE-augmented spectral dataset. Furthermore, the performance of the models was also evaluated on segmented wavelengths range 9000–4000 cm⁻¹. The most informative wavelengths were chosen and used in different ML models, including stacking regressors and classifiers for forecasting the AC. The regression analysis yielded the best results with a coefficient of determination (R²) of 0.968, Root Mean Squared Error (RMSE) of 0.306, and Ratio of performance of deviation (RPD) of 5.564. The classification performance achieved an F1 score of 99.0 %, with a 5-fold average F1 score of 91.2 %. These findings show that the suggested technique can identify AC in rice in a non-destructive and dependable manner, significantly improving model performance over previous works.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107455"},"PeriodicalIF":4.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rapid determination of illegal dyes in aquaculture products using LC-Q-Orbitrap HRMS: Method development, validation, and application","authors":"Omar Khaled ,&nbsp;Lamia Ryad,&nbsp;Nermine Gad","doi":"10.1016/j.jfca.2025.107451","DOIUrl":"10.1016/j.jfca.2025.107451","url":null,"abstract":"<div><div>This study presents a sensitive, reliable, and rapid analytical method for the determination of four illegal dyes, malachite green (MG), crystal violet (CV), leucomalachite green (LMG), and leucocrystal violet (LCV) in Nile tilapia (<em>Oreochromis niloticus</em>), salmon (<em>Salmo salar</em>), crawfish (<em>Procambarus clarkii</em>), and shrimp (<em>Penaeus vannamei</em>) matrices using liquid chromatography coupled with quadrupole-Orbitrap high-resolution mass spectrometry (LC-Q-Orbitrap HRMS). The method employs a simplified sample preparation procedure, enabling high-throughput analysis. Validation was performed in accordance with the Commission Implementing Regulation (CIR) EU 2021/808, using three concentration levels ranging from 0.25 to 0.75 μg/kg. The method demonstrated excellent performance, with recoveries ranging from 71 % to 98 % and both repeatability and reproducibility consistently below 9 %. Calibration curves exhibited good linearity, with coefficients of determination (R²) exceeding 0.9955. The limits of detection (LOD) and quantification (LOQ) ranged from 0.019 to 0.057 μg/kg and 0.061–0.173 μg/kg, respectively. The decision limit (CCα) and detection capability (CCβ) values ranged from 0.26 to 0.31 μg/kg and 0.28–0.35 μg/kg, respectively. The method was applied to analyze 200 samples, consisting of 50 samples each from the four aforementioned species, were collected from local markets in Egypt, revealing that 59.5 % of the samples contained illegal dye residues. The reliability of the method was further confirmed through successful participation in two proficiency testing (PT) rounds. This study represents one of the most comprehensive assessments of illegal dye residues in fish and crustacean products in the Egyptian market, highlighting the need for enhanced food safety monitoring in the region.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107451"},"PeriodicalIF":4.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive evaluation of raw material quality and steaming suitability for freshwater fish species","authors":"Shucan Mao ,&nbsp;Yan Yu ,&nbsp;Guangquan Xiong ,&nbsp;Wenjin Wu ,&nbsp;Hongyu Luo ,&nbsp;Sheng Chen ,&nbsp;Xiaojia Guo ,&nbsp;Ke Xiong ,&nbsp;Lan Wang ,&nbsp;Liu Shi","doi":"10.1016/j.jfca.2025.107462","DOIUrl":"10.1016/j.jfca.2025.107462","url":null,"abstract":"<div><div>To evaluate the quality characteristics and steaming suitability of key freshwater fish species, we conducted a comprehensive study on four high-yield varieties (snakehead, silver carp, channel catfish, and bass) representing over 20 % of China's freshwater aquaculture output. We focused on their approximate composition, nutrition, and microstructure and explored the effects of salting time (0–4 h), salt concentration (0–4 %), and steaming time (4–8 min) on cooking loss, texture, and water distribution. The optimal conditions were achieved with salt concentration of 2–3 %, salting time of 2–3 h, and steaming time of 6–7 min. The steaming quality ranked as snakehead &gt; channel catfish &gt; bass &gt; silver carp. This study provides theoretical foundations for enhancing raw material utilization efficiency and developing processed products in the freshwater fish industry.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107462"},"PeriodicalIF":4.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of the amylose and amylopectin contents of rice by hyperspectral imaging combined with a CNN-AdaBoost model","authors":"Kangling He ,&nbsp;Jianping Tian ,&nbsp;Yuanyuan Xia ,&nbsp;Yifei Zhou ,&nbsp;Xinjun Hu ,&nbsp;Liangliang Xie ,&nbsp;Haili Yang ,&nbsp;Yuexiang Huang ,&nbsp;Dan Huang","doi":"10.1016/j.jfca.2025.107468","DOIUrl":"10.1016/j.jfca.2025.107468","url":null,"abstract":"<div><div>The amylose and amylopectin contrnts of rice directly influence the flavor and texture of liquor from which it is brewed. This study utilized hyperspectral imaging (HSI) along with an integrated learning model to rapidly and non-destructively analyze the amylose and amylopectin contents in rice. In this study, the characteristic wavelengths were extracted using the interval random frog (iRF) algorithm, the successive projection algorithm (SPA), and a combination of the two algorithms (iRF-SPA). Afterward, color features of the rice were extracted, and models were developed to predict amylose and amylopectin contents using full wavelengths, characteristic wavelengths, and fused data with color features. These models included partial least squares regression (PLSR), convolutional neural networks (CNN), and convolutional neural network-based ensemble learning (CNN-AdaBoost). The results showed that the CNN-AdaBoost model built using the fusion data of the feature wavelengths and the color features extracted by the iRF-SPA method was the best predictor of rice amylose and amylopectin contents, with prediction accuracies of <span><math><msup><mrow><msub><mrow><mi>R</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow><mrow><mn>2</mn></mrow></msup></math></span> of 0.9931 and 0.9889, respectively. The study showed that HSI combined with the CNN-AdaBoost model enables rapid, non-destructive analysis of amylose and amylopectin contents in rice, offering a practical basis for assessing the chemical composition of raw food materials.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107468"},"PeriodicalIF":4.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive research and risk assessment on the pollution profile of organic micropollutants (OMPs) in different types of citrus essential oils produced from waste citrus peels in Türkiye","authors":"Beyza Yüce ,&nbsp;Barış Güzel ,&nbsp;Oltan Canlı ,&nbsp;Elmas Öktem Olgun ,&nbsp;Derya Kaya ,&nbsp;Bürge Aşçı ,&nbsp;Selda Murat Hocaoğlu","doi":"10.1016/j.jfca.2025.107463","DOIUrl":"10.1016/j.jfca.2025.107463","url":null,"abstract":"<div><div>This study was to investigate the presence of organic micropollutants (OMPs) and possible sources of PAHs in four different citrus peel oils (orange, mandarin, lemon and grapefruit) and a risk assessment was conducted. The concentrations of ΣPAH were found from 26.69 to 62 ng/g oil. Naphthalene, acenaphthene, acenaphthylene, phenanthrene and fluoranthene are the dominant PAHs. The source of the PAH compounds in the samples was predominantly of pyrogenic origin. ΣPCB results range between 0.726 and 3.596 µg/kg oil, with PCB 153 and PCB 138 being the most detected in the samples. ΣOCP results were found in the range of 0.450–2.171 µg/kg oil. <em>p,p</em>'-DDD, <em>p,p′</em>-DDE, <em>p,p′</em>-DDT and alpha-HCH among the samples was detected at a significant rate. In the citrus oils, ΣPCDD/F values were found to be 0.0073–0.3076 WHO-TEQ pg/g oil, while ΣDL-PCB values varied between 0.00259 and 0.00829 WHO-TEQ pg/g oil. None of these results exceed the limits of the European Commission and Turkish Food Codex Regulations. While PCB 77 and PCB 81 were more abundant in DL-PCBs than other congeners, this situation was 2378-TCDD and 12378-PeCDD in PCDD/Fs. In human risk assessment, HQ, HI, and TLCR values of some OMPs indicate that there is no risk of carcinogenic or non-carcinogenic hazards for both children and adults.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107463"},"PeriodicalIF":4.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rapid analysis of starch, sugar, and amylose in fresh yam tubers and boiled yam texture using near-infrared hyperspectral imaging and chemometrics","authors":"Michael Adesokan ,&nbsp;Emmanuel Oladeji Alamu ,&nbsp;Bolanle Otegbayo ,&nbsp;Asrat Asfaw ,&nbsp;Michael Olutoyin Afolabi ,&nbsp;Segun Fawole ,&nbsp;Karima Meghar ,&nbsp;Dominique Dufour ,&nbsp;Oluwatoyin Ayetigbo ,&nbsp;Fabrice Davrieux ,&nbsp;Busie Maziya-Dixon","doi":"10.1016/j.jfca.2025.107425","DOIUrl":"10.1016/j.jfca.2025.107425","url":null,"abstract":"<div><div>The study investigated the use of the near-infrared hyperspectral imaging (NIR-HSI) technique (932 – 1721 nm) to rapidly evaluate the starch, sugar, and amylose content of fresh, intact yam tubers and the textural qualities of boiled yam. These quality characteristics often influence consumers’ and farmers’ acceptance of new yam varieties. Traditional methods for their determination are expensive, time-consuming, and sometimes subjective. The NIR-HSI system combined with three Effective Wavelengths (EWs) selection algorithms, including Successive Projections Algorithms (SPA), Competitive Adaptive Reweighted Sampling (CARS), and Boruta Algorithm (BA), was used to extract the important spectral features. The PLSR-SPA-CARS gave the best prediction models in most cases, with a coefficient of determination in prediction (R²pre) of 0.952 for starch, 0.935 for sugar, and 0.978 for amylose content, respectively. The spatial distribution of starch, sugar, and amylose was visualized using the optimized PLSR model. Additionally, PLSR-SNV-SG (Standard Normal Variate and Savitzsky-Golay) showed the best R² pred of 0.846 for peak force (hardness) and 0.538 for the area under the curve (chewiness) of boiled yam. This study has demonstrated the potential of NIR-HSI techniques to rapidly predict the quality of fresh yam and its boiled food product.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107425"},"PeriodicalIF":4.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Insight on Lugana wines flavor with a new LC-MS method for the detection of polyfunctional thiols","authors":"Giorgio Zanoni ,&nbsp;Luca Giglini Tassotti ,&nbsp;Urska Vrhovsek ,&nbsp;Silvia Carlin","doi":"10.1016/j.jfca.2025.107458","DOIUrl":"10.1016/j.jfca.2025.107458","url":null,"abstract":"<div><div>The analysis of important aroma compounds, such as polyfunctional thiols, requires a reliable and straightforward method. Despite advances in odorant detection, each method currently involves lengthy and complex sample preparation. In this paper, we present a novel high-throughput method that includes derivatization with ebselen, SPE purification, and LC-MS analysis for the quantification of 15 thiols with enological relevance, as well as its comparison with a recently developed QuEChERS-based method. Furthermore, the analysis of 43 Lugana wines was conducted to gain insight into the thiolic composition of this typical Italian wine characterized by tropical flavors and to demonstrate the efficacy of this fast, reliable, and environmentally friendly method.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107458"},"PeriodicalIF":4.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Species-dependent effects of Hanseniaspora wine yeasts on amino acids and flavor metabolites during mixed fermentation with Saccharomyces cerevisiae","authors":"Mengni Zheng ,&nbsp;Xiangwei Qi ,&nbsp;Yuwei Chang ,&nbsp;Hongyu Zhao ,&nbsp;Kai Hu","doi":"10.1016/j.jfca.2025.107461","DOIUrl":"10.1016/j.jfca.2025.107461","url":null,"abstract":"<div><div>Although <em>Hanseniaspora</em> yeasts are the predominant species in the early stages of winemaking, their species-specific effects on nutrient availability and flavor production have not been fully understood. In this study, <em>Hanseniaspora</em> yeasts of four species (<em>H. uvarum</em>, <em>H. opuntiae</em>, <em>H. vineae</em>, and <em>H. osmophila</em>) were evaluated in single fermentation and mixed fermentation with <em>Saccharomyces cerevisiae</em> (simultaneous and sequential inoculation). In contrast to <em>H. uvarum</em> and <em>H. opuntiae</em> group, <em>H. vineae</em> and <em>H. osmophila</em> group showed similar fermentation performances regarding biomass production, fermentative capacity, amino acid utilization and flavor production. However, such differences were suppressed in simultaneous fermentation once the dominant species <em>S. cerevisiae</em> was co-inoculated. In sequential fermentation, all the <em>Hanseniaspora</em> species achieved a higher population through early depletion of preferred amino acids (e.g., methionine and lysine), and decreased the growth of subsequent <em>S. cerevisiae</em>. <em>H. vineae</em> and <em>H. osmophila</em> exhibited stronger adaption to fermentation conditions due to efficient uptake of preferred amino acids, inducing higher production of higher alcohol acetates. Genomic analysis further confirmed the species-dependent effects of these two <em>Hanseniaspora</em> groups on amino acid utilization. These findings may provide new insights into physiological features of <em>Hansenisapora</em> yeasts and their interaction with <em>S. cerevisiae</em> in mixed fermentation.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107461"},"PeriodicalIF":4.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}