Food Analytical Methods最新文献

{"title":"Meat Authentication Based on Animal Species and Other Quality Meat Attributes (Protected Geographical Indication, Organic Production, and Halal and Kosher Products) by HPLC–UV Fingerprinting and Chemometrics","authors":"Alexandra Santomá-Martí,&nbsp;Nil Aijon,&nbsp;Oscar Núñez","doi":"10.1007/s12161-025-02840-9","DOIUrl":"10.1007/s12161-025-02840-9","url":null,"abstract":"<div><p>A simple and economic high-performance liquid chromatography with UV–vis detection (HPLC–UV) metabolomic fingerprinting methodology was developed and applied after a water extraction procedure to obtain sample chemical descriptors suitable for meat authentication by chemometrics. Three hundred meat samples involving different species (lamb, beef, pork, rabbit, quail, chicken, turkey, and duck) as well as different non-genetic attributes (protected geographical indications, organic production, and Halal and Kosher meats) were analyzed, and the obtained HPLC–UV fingerprints subjected to PCA and PLS-DA for classification and authentication. Excellent PLS-DA discrimination and classification performance was accomplished for calibration and cross-validation, with sensitivity and specificity values higher than 100% and 99.3%, respectively, and classification errors below 0.4%, when meat species were considered. The prediction capability when employing a classification decision tree consisting on consecutive dual PLS-DA models built using a hierarchical model builder was of 100% accuracy when 48 meat samples were subjected to the model as unknown samples. Multiclass PLS-DA classification performances when addressing meat geographical origin, organic productions and Halal and Kosher products were also very acceptable, with overall sensitivity and specificity values higher than 91.2%, and classification errors below 6.9%. Finally, fraudulent meat adulteration cases involving PGI, organic and Halal and Kosher adulterated meats were evaluated by partial least squares (PLS) regression, allowing the detection and quantitation of adulteration levels within the range from 15 to 85% with prediction errors below 6.6%, demonstrating the suitability of the proposed methodology to assess meat authenticity.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1825 - 1841"},"PeriodicalIF":3.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12161-025-02840-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145167294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Hyperspectral Imaging Analysis for SSC Prediction in Actinidia arguta: Impact of Short-Term Anaerobic Treatment","authors":"Fengli Jiang,&nbsp;Lei Yang,&nbsp;Peijing Wu,&nbsp;Mingzhu Sun,&nbsp;Bingxin Sun,&nbsp;Youwen Tian","doi":"10.1007/s12161-025-02832-9","DOIUrl":"10.1007/s12161-025-02832-9","url":null,"abstract":"<div><p>In this study, hyperspectral imaging technology was utilized to monitor the alterations and spatial distribution of soluble solid content (SSC) in <i>Actinidia arguta</i> during postharvest storage. The fruit were exposed to a 24 h anaerobic treatment in a pure N₂ atmosphere and then stored at ambient temperature for 10 days. These findings collectively affirm that N₂ treatment can effectively decelerate the softening process of <i>Actinidia arguta</i> by impeding firmness loss and SSC progression. After preprocessing, feature band extraction was conducted using competitive adaptive reweighted sampling (CARS), interval variable iterative space shrinkage approach (iVISSA), and a synergistic iVISSA-CARS algorithm. Partial least squares regression (PLSR) and particle swarm optimization extreme learning machine (PSO-ELM) models were developed for SSC prediction, with the PSO-ELM model yielding the most accurate predictions. In the test set, the CARS-PSO-ELM model for the control group achieved an <i>R</i>_p² of 0.877, an RMSEP of 0.611, and an RPD of 1.953, while the iVISSA-CARS-PSO-ELM model for the N₂ treatment group achieved an <i>R</i>_p² of 0.904, an RMSEP of 0.554, and an RPD of 2.236. Finally, SSC visualization maps of <i>Actinidia arguta</i> were generated for both the control and treatment groups based on their respective optimal models, providing valuable references for comprehensive quality assessment during subsequent processing, transportation, and commercialization stages.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1812 - 1824"},"PeriodicalIF":3.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New Electrochemical Approach Based on Modified Electrode with Reduced Graphene Oxide, Iron Nanoparticle, and Molecularly Imprinted Poly(aniline) for Determination of Linoleic Acid in Guava Seed Oil","authors":"Max Fabrício Falone,&nbsp;Edervaldo Buffon,&nbsp;Nelson Ramos Stradiotto","doi":"10.1007/s12161-025-02822-x","DOIUrl":"10.1007/s12161-025-02822-x","url":null,"abstract":"<div><p>Linoleic acid (LA) is an essential fatty acid with important properties, making it applicable in biotechnological processes and in the chemical, pharmaceutical, and food industries. In this work, an electrochemical sensor was built for the determination of LA in guava seed oil using a surface modified with reduced graphene oxide, iron nanoparticles coated with molecularly imprinted poly(aniline). The device was characterized by cyclic voltammetry, electrochemical impedance spectroscopy, scanning electron microscopy, energy dispersive X-ray spectroscopy, and X-ray photoelectron spectroscopy. Under optimized experimental conditions, an analytical curve was obtained in the linear concentration range from 1.0 × 10⁻¹² mol L⁻¹ to 1.0 × 10⁻¹⁰ mol L⁻¹. The amperometric sensitivity and limit of detection and quantification values of the proposed sensor were then calculated, which were 3.4 × 10⁷ L A mol L⁻¹, 3.0 × 10⁻¹³ mol L⁻¹, and 1.0 × 10⁻¹² mol L⁻¹, respectively. The device exhibited excellent selectivity, repeatability, and high stability for the detection of LA. The developed method was successfully applied to the guava seed oil sample, showing recovery values between 95 and 103%, with relative standard deviations of &lt; 5%.</p><h3>Graphical Abstract</h3><p>Illustrative scheme of the fabrication of the GCE/rGO/FeNPs@PANI sensor</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1800 - 1811"},"PeriodicalIF":3.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Convolutional Neural Networks for Evaluating Spirulina (Arthrospira spp.) Adulteration Through Digital Images","authors":"Fabrina Oliveira Paranhos,&nbsp;Marcos Levi C. M. dos Reis,&nbsp;Juarez dos S. Azevedo,&nbsp;Fabio de Souza Dias","doi":"10.1007/s12161-025-02826-7","DOIUrl":"10.1007/s12161-025-02826-7","url":null,"abstract":"<div><p>Spirulina, a nutrient-rich product derived from cyanobacteria of the genus Arthrospira, is widely consumed as a dietary supplement. However, its high market value makes it susceptible to adulteration, particularly by adding low-cost compounds such as sodium bicarbonate. This study aimed to evaluate and classify sodium bicarbonate adulteration in Spirulina at levels of 10%, 15%, and 25% w w⁻¹ using convolutional neural networks (CNNs). A digital imaging system was developed to capture sample images, which were analyzed through their RGB channels. Traditional chemometric methods, including hierarchical cluster analysis (HCA) and principal component analysis (PCA), demonstrated limited performance as sample size increased. To overcome these limitations, deep learning techniques were implemented using ResNet-18 and ResNet-50 architectures. The CNN models achieved high classification accuracies exceeding 99%. These findings demonstrate the potential of CNNs as a robust and scalable tool for the rapid, non-destructive detection of Spirulina adulteration, representing a novel approach in food authentication.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1789 - 1799"},"PeriodicalIF":3.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simultaneous Determination of Flupyradifurone and Its Metabolites in Animal-Derived Foods Using QuEChERS-UPLC-MS/MS","authors":"Xiao Hu,&nbsp;Ying Mei,&nbsp;Xianjun Li,&nbsp;Yan Chen","doi":"10.1007/s12161-025-02837-4","DOIUrl":"10.1007/s12161-025-02837-4","url":null,"abstract":"<div><p>In this research, an analytical method for the simultaneous determination of flupyradifurone (FLU) and its three principal metabolites (difluoroethylamino-furanone (DFEAF), 6-chloronicotinic acid (6-CNA), and difluoroacetic acid (DFA)) in animal-derived food matrices was established based on the QuEChERS and ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). A low sample injection volume (3 µL) and dilution strategy were applied, without the use of isotope internal standards or matrix-matched calibration curves to compensate for the matrix effects. Recoveries for all matrix-matched samples at three spiked levels (<i>n</i> = 6) were ranged from 69.9% to 114.0% with relative standard deviations (RSDs) of 0.8%–10.4%. The method demonstrated excellent linearity (correlation coefficients <i>R</i> &gt; 0.998), extremely low limits of quantitations (0.001–0.025 mg/kg), and acceptable matrix effects (ranged from − 12.7% to 13.4%). The validated method provides a reliable tool for monitoring FLU and its metabolite residues in practical sample analysis, including livestock and poultry meat, viscera, milk, and honey, which is essential to risk assessment, compliance with good agricultural practices and regulatory oversight.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1780 - 1788"},"PeriodicalIF":3.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Carbomer Gelation Indicator for Acid–Base Titration of Colorless, Colored, and Opaque Juice Samples","authors":"K. P. Khadeeja Thanha,&nbsp;P. Ayisha Sana,&nbsp;C. G. Jincy,&nbsp;U. S. Jijith,&nbsp;K. Pramod","doi":"10.1007/s12161-025-02828-5","DOIUrl":"10.1007/s12161-025-02828-5","url":null,"abstract":"<div><p>This study explores the feasibility of using carbomer (Carbopol 940) as a novel gelation indicator for acid–base titration, in particular, for colored and opaque samples where traditional visual indicators are ineffective, focusing on the determination of citric acid content in fruit juice. The pH-dependent gelation property of carbomer in alkaline solutions was exploited to visually detect the titration endpoint. The developed method using carbomer gelation as an indicator exhibited strong linearity with an <i>R</i>² value of 0.9983 and demonstrated accuracy with recovery rates near 100%. Precision was confirmed by low percent relative standard deviation (%RSD) values for repeatability and intermediate precision. The method’s detection limit (DL) was 5.83 mg and the quantitation limit (QL) was 17.67 mg. A key finding was the successful application of the carbomer gelation indicator in the analysis of colored citric acid solution and a marketed colored pomegranate juice. Comparison with the traditional phenolphthalein pH indicator method in a colorless lemon juice showed no statistically significant difference in the results (<i>p</i>-value &gt; 0.05), indicating the efficiency of the carbomer method even for colorless matrices. The results suggest that carbomer gelation serves as a cost-effective and reliable visual indicator for acid–base titrations, offering a significant advantage for analyzing colored samples where the color change of conventional indicators is obscured.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1770 - 1779"},"PeriodicalIF":3.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chromatographic Fingerprint Analysis and Multicomponent Quantitative Analysis for Quality Evaluation of Astragalus Radix","authors":"Rulan Jiang,&nbsp;Jieyu Lei,&nbsp;Huimin Wu,&nbsp;Meihui Gong,&nbsp;Wenli Chen,&nbsp;Xinjun Xu","doi":"10.1007/s12161-025-02834-7","DOIUrl":"10.1007/s12161-025-02834-7","url":null,"abstract":"<div><p>As a widely used and distributed dietary herbs, the quality of Astragalus Radix (AR) is influenced by various factors, making the establishment of appropriate quality standards a challenging task. In this context, a simple and efficient high-performance liquid chromatography method was employed to analyze the chromatographic fingerprint of AR and conduct quantitative analysis of two key components: calycosin-7-O-β-D-glucoside and astragaloside IV. The chemical fingerprints of 16 batches of samples were successfully established, identifying 15 commons peaks. Multiple chemometric methods, including similarity analysis, hierarchical clustering analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA), were used to comprehensively assess the AR samples and identify key components. Subsequently, the ultrasonic-assisted extraction of calycosin-7-O-β-D-glucoside and astragaloside IV was optimized through response surface analysis. In quantitative analysis, all calibration curves exhibited good linearity within the test range (r &gt; 0.9990), the average recovery rates ranged from 93.82% to 105.14%, and the RSDs for repeatability and stability were below 2.1%. The results demonstrate that this method is simple, accurate and effective, providing a valuable reference for the overall quality evaluation of Astragalus Radix.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1758 - 1769"},"PeriodicalIF":3.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determining the Active Ingredients of Dendrobium officinale and Tracing Its Region of Origin","authors":"Jiao Zhang,&nbsp;An Wang,&nbsp;Xiao Wei,&nbsp;Zhenhuan Liu,&nbsp;Zhengxu Hu,&nbsp;Jing Wang,&nbsp;Xinglian Chen,&nbsp;Lijuan Du,&nbsp;Hongcheng Liu,&nbsp;Tao Lin","doi":"10.1007/s12161-025-02824-9","DOIUrl":"10.1007/s12161-025-02824-9","url":null,"abstract":"<div><p>A method for the determination of 22 active ingredients, including flavonoids, phenols, and glycosides, in <i>Dendrobium officinale</i> was established using UHPLC–MS/MS. The 22 active compounds presented good linear correlation coefficients in the concentration range of 0.005 and 10 µg·mL⁻¹, limits of detection and quantification ranging between 0.008 and 2.25 mg·kg⁻¹ and 0.025 and 7.5 mg·kg⁻¹, respectively, and interday and intraday RSDs ranging between 0.14 and 12.57% and 0.08 and 9.92%, respectively, and RE values ranging between 0.01 and 9.57% and 0.02 and 9.33%, respectively. Moreover, the detection sensitivity and stability of the method were good. <i>D. officinale</i> samples from different regions in Yunnan (Xishuangbanna, Baoshan, Dehong, and Wenshan) were effectively distinguished using OPLS-DA on the basis of the contents of 22 compounds, and ten differentially abundant metabolites, such as syringin, scutellarein, gallic acid, and gentisic acid, were identified, which can be used to identify the origin of <i>D. officinale</i> to some extent. The samples from Dehong presented relatively high levels of syringin, gentisic acid, protocatechuic acid, and gallic acid; the samples from Baoshan contained relatively high levels of apigenin, naringin, and 4-hydroxybenzaldehyde; the samples from Wenshan exhibited relatively high levels of epicatechin gallate, scopoletin, and scutellarein; and the samples from Xishuangbanna presented relatively low levels of protocatechuic acid and gallic acid. The accumulation of active ingredients was affected by the <i>D. officinale</i> growth environment. There were no significant differences in the contents of epicatechin gallate, scopoletin, or scutellarein in the samples from the Dehong, Baoshan, and Xishuangbanna regions or in the content of apigenin in the samples from the Dehong and Xishuangbanna regions; however, there were large significant differences in the contents of all other differentially abundant metabolites between samples from the Wenshan region and those from the other three regions. This method is simple and effective and can provide technical support to trace the origin of <i>Dendrobium</i> species and other agricultural products.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1738 - 1757"},"PeriodicalIF":3.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated Microfluidic Extraction and Detection of Aflatoxin B1 in Olive Oil","authors":"Nagihan Okutan Arslan,&nbsp;Levent Trabzon","doi":"10.1007/s12161-025-02827-6","DOIUrl":"10.1007/s12161-025-02827-6","url":null,"abstract":"<div><p>Food microfluidics are powerful tools to create total analysis systems and have long been demonstrated to be useful for safety and quality applications. This study introduced a new integrated aflatoxin B1 extraction and detection system based on microfluidic technology. A poly(dimethylsiloxane) microfluidic mixer was developed herein to rapidly extract aflatoxin B1 from olive oil samples. We believe that the sunflower microfluidic mixer developed in this study can be widely applied in a variety of related fields that are extremely difficult in traditional batch processes. Successful integration of microfluidic mixers brings us closer to one-step detection. The used approach allows for analysis with only 2 ml of sample. The disposable and cost-effective paper-based microfluidics were utilized to construct the immunosensor for aflatoxin B1 detection. Owing to the high surface area of paper and carbon nanotubes sensitive measurement can be done at le 0.01 nanogram levels, below the regulatory requirements. Further, the paper-based microfluidic exhibited high recoveries between 91 and 97% for aflatoxin B1 detection in olive oil, demonstrating the method’s potential for use in the study of a variety of agricultural and culinary goods.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1721 - 1737"},"PeriodicalIF":3.0,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12161-025-02827-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145165066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"A New Ammonia Determination Assay Based on the Linear Activation of Horseradish Peroxidase for the Determination of Protein-Glutamine Glutaminase Activities","authors":"Katrin Reichenberger,&nbsp;Gudrun Horstmann,&nbsp;Sabine Lutz-Wahl,&nbsp;Lutz Fischer","doi":"10.1007/s12161-025-02823-w","DOIUrl":"10.1007/s12161-025-02823-w","url":null,"abstract":"<div><p>A new horseradish peroxidase (HRP)-based assay for the determination of aqueous ammonia was developed. This new assay utilizes the concentration-dependent, linearly increasing activation effect of aqueous ammonia on the enzyme HRP at alkaline pH values. The special feature of this assay is that the analyte, ammonia, is not directly involved in the reaction catalyzed by the enzyme HRP. Instead, the concentration of the analyte is determined by measuring the increase of the activity of the HRP in the absence and presence of the sample. Accordingly, all relevant assay parameters and concentrations of the components were first carefully evaluated to enable the determination of low aqueous ammonia concentrations while simultaneously achieving a broad linear range. The optimized conditions in the newly developed method for the determination of ammonia were pH 10.0, 4.8 nkat mL⁻¹ HRP, 2.3 mmol L⁻¹ <i>o</i>-dianisidine, and 400 µM hydrogen peroxide. The limit of detection and the limit of quantification of the new method were 0.24 mmol L⁻¹ and 0.36 mmol L⁻¹, respectively. One possible application for the newly developed ammonia determination assay was the determination of protein-glutamine glutaminase (PG) activities. This assay was employed as a two-step assay, starting with the PG reaction conducted at the optimal pH value for the PG used. After this step, the pH was increased to 10, and the ammonia released was measured in a second reaction. The results obtained with this method showed less than 10% variation compared to two established methods.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1709 - 1720"},"PeriodicalIF":3.0,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12161-025-02823-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145165067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}