Journal of Food Composition and Analysis最新文献

{"title":"Quality evaluation and variety discrimination of pear, apple, nectarine and potato using optical properties coupled with machine learning","authors":"Jianchao Xie ,&nbsp;Wanghui Shi ,&nbsp;Ming Wang ,&nbsp;Chaobo Ma ,&nbsp;Aichen Wang ,&nbsp;Tong Sun ,&nbsp;Qinghua Yang ,&nbsp;Guoquan Zhou ,&nbsp;Can Hu ,&nbsp;Dong Hu","doi":"10.1016/j.jfca.2026.108982","DOIUrl":"10.1016/j.jfca.2026.108982","url":null,"abstract":"<div><div>The optical properties of fruits and vegetables are essential for elucidating light propagation mechanisms within tissues, critical for enhancing spectroscopy-based quality assessments. This study employed a single integrating sphere system to determine two key parameters, which are the absorption coefficient (<em>μ</em>_<em>a</em>) and reduced scattering coefficient (<em>μ</em>_<em>s</em>′) across ten varieties, including four pear cultivars, and two each of apple, nectarine, and potato cultivars. Based on these measurements, conventional chemometric methods and machine learning algorithms were applied to develop models predicting soluble solids content (SSC) and flesh firmness (FF), in individual- and combined-variety samples. The partial least squares regression (PLSR) models based on <em>μ</em>_<em>a</em> showed superior performance for pears, with <em>R</em>_p² values of 0.877 and 0.884 for SSC and FF, respectively. In mixed fruit samples (apples and nectarines, or combinations with pears), <em>μ</em>_a-based PLSR models yielded comparable SSC prediction performance. For qualitative classification, the RF model using <em>μ</em>_<em>a</em> achieved high accuracies, with 92.9 % for pears and apples, and 100 % for nectarines and potatoes. Random forest (RF) models based on <em>μ</em>_<em>s</em>′ also demonstrated robust performance, exceeding 85 % accuracy for apples and nectarines. This study demonstrates an effective approach that combines optical properties and machine learning for quality evaluation and variety discrimination.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108982"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171115","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":"Bioactive substances and their health benefits of the blooming brown seaweed Sargassum horneri: A review","authors":"Yang Yang ,&nbsp;K.K. Asanka Sanjeewa ,&nbsp;Lei Wang ,&nbsp;Xiangzhao Mao","doi":"10.1016/j.jfca.2026.108973","DOIUrl":"10.1016/j.jfca.2026.108973","url":null,"abstract":"<div><div>An edible brown seaweed <em>Sargassum horneri</em> has frequently bloomed in recent years, causing significant economic losses and ecological damage to China’s attractive coastlines. Utilizing this underexploited biomass could help restore the aesthetic beauty of affected shores and promote the sustainable use of marine bioresources. <em>S. horneri</em> was reported to contain a rich source of essential nutrients and bioactive substances which contributes to its various health benefits (including antioxidant, anti-inflammatory, anti-allergic, anti-cancer, anti-obesity and anti-diabetes). The mechanisms underlying the health benefits have been explored through cellular and animal models. In the process of bioactive substances from <em>S. horneri</em> exerting their effects, the Nrf2, NF-κB, and MAPK signaling pathways all play crucial roles. This review aims to comprehensively summarize the bioactive substances and health benefits reported from <em>S. horneri</em>. We also integrated and compared the overlapping mechanisms underlying the health benefits of <em>S. horneri</em>, and extensively explored the challenges and strategies for its high-value applications in food and other fields. This work provides a new perspective for the in-depth development of this resource.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108973"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171057","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 limits of UHPLC-MS/MS with polarity switching towards the quantification of 931 mycotoxins and other secondary metabolites in cereal-based food","authors":"Lidija Kenjeric ,&nbsp;Michael Sulyok ,&nbsp;Christoph Bueschl ,&nbsp;Alexandra Malachova ,&nbsp;Rudolf Krska","doi":"10.1016/j.jfca.2026.108908","DOIUrl":"10.1016/j.jfca.2026.108908","url":null,"abstract":"<div><div>High-throughput LC–MS/MS methods are increasingly essential for regulatory screening of mycotoxins in food as the number of relevant analytes grows. We evaluated the limits of such a quantitative methods covering 931 mycotoxins and other secondary metabolites in cereal-based food (muesli), by comparing ultra-high-performance liquid chromatography (UHPLC) with high-performance liquid chromatography (HPLC), polarity switching with separate injections, and short vs. long gradients to optimize speed without compromising performance. To manage validation workload, 52 representative analytes—including all regulated mycotoxins—distributed across the chromatogram were selected for assessment. The final multi-class LC–MS/MS quantitative method covers 931 mycotoxins and secondary metabolites in an 11-minute run time, providing a scalable solution for routine testing, regulatory and emergency response. Across methods, no significant differences were observed in matrix effects, repeatability, or within-laboratory reproducibility, except at the lowest spiking levels. Reduced repeatability increased limits of quantification (LOQs) by a factor of 3–4 compared to the original 2 × 20.5-minute method, highlighting the main trade-off when accelerating analysis, despite the nearly fourfold gain in throughput. This ultra-fast approach meets the required sensitivity and measurement uncertainty for all 14 regulated mycotoxins across five muesli varieties, supporting regulatory control. Replacing the conventional dual-injection workflow with this single-injection protocol could reduce laboratory CO₂ emissions by ∼22 tons annually.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108908"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146015888","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":"Seafood safety concerns: Human health risks from heavy metal bioaccumulation in crustaceans from Cox’s Bazar, Bangladesh","authors":"Mohammad Shakil Khan ,&nbsp;Saifuddin Rana ,&nbsp;Abdullah Al Mamun ,&nbsp;Shahida Arfine Shimul ,&nbsp;Antar Sarkar ,&nbsp;Sk. Ahmad Al Nahid","doi":"10.1016/j.jfca.2026.108928","DOIUrl":"10.1016/j.jfca.2026.108928","url":null,"abstract":"<div><div>Heavy metal contamination in marine organisms threatens both ecosystem health and food safety. This study quantified six metals (Pb, Cd, Cr, Cu, Mn, and As) in muscle tissues of shrimp, crabs, and lobster collected from two landing sites along the Cox’s Bazar coast, Bangladesh. Concentrations were measured using atomic absorption spectrophotometry, and human health risks were evaluated through estimated daily intake (EDI), target hazard quotient (THQ), hazard index (HI), and target cancer risk (TCR). Significant species-specific differences (<em>p</em> &lt; 0.05) were observed, with crabs showing higher accumulation of Cu, Cr, and As, whereas Pb remained consistently lowest across all species. Non-carcinogenic risks assessed by EDI, THQ, and HI values were within safe thresholds for consumers at current intake levels. In contrast, carcinogenic risk estimates for Cd and Cr slightly exceeded thresholds in several species, particularly <em>Portunus pelagicus</em> and <em>P. sanguinolentus</em>. These findings identify crabs as the most critical group requiring targeted monitoring in seafood safety programs. Although overall contamination levels complied with international food safety guidelines, some risk indices approached critical thresholds. This study provides the first integrated assessment of heavy metal contamination in shrimp, crabs, and lobster from Cox’s Bazar, establishing a baseline for seafood safety monitoring in Bangladesh.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108928"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076087","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 identification of the geographical origins of lily bulbs using solid-surface three-dimensional fluorescence spectroscopy coupled with multi-way pattern recognition","authors":"Zhen-Ji Wang ,&nbsp;Wan-Rong Jiang ,&nbsp;Zhan Meng ,&nbsp;Hai-Qing Qiang ,&nbsp;Jing-Wen Wang ,&nbsp;Xiao-Li Yin ,&nbsp;Hui-Wen Gu","doi":"10.1016/j.jfca.2026.108984","DOIUrl":"10.1016/j.jfca.2026.108984","url":null,"abstract":"<div><div>In this work, solid-surface three-dimensional fluorescence (SSTF) spectroscopy coupled with multi-way pattern recognition was proposed to identify the origins of lily bulbs. Firstly, the spectral data of lily bulbs from 8 famous regions were acquired by SSTF within the excitation wavelength of 200–700 nm and emission wavelength of 250–700 nm in solid power state without any extraction processes. Then, a parallel factor analysis (PARAFAC) model was built to extract chemically relevant components information, and the resulting scores were classified using linear discriminant analysis (LDA), partial least squares discriminant analysis (PLS-DA), and <em>k</em>-nearest neighbor (<em>k</em>-NN); while N-way partial least squares-discriminant analysis (N-PLS-DA), unfolded partial least squares-discriminant analysis (U-PLS-DA), and two-directional two-dimensional linear discriminant analysis ((2D)²LDA) were directly used for classification based on the original SSTF spectral data. All models showed satisfactory performance, with the latter three models achieving 100 % accuracy for both training and prediction sets. Therefore, the proposed method can achieve direct and rapid origin identification of lily bulbs without solvent-extraction and provide a new perspective for the origin identification of other food and medicinal materials.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108984"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171116","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":"Direct determination of tartrazine yellow dye in pharmaceutical and nutritional supplements by digital image colorimetry","authors":"Augusto Cezar Magalhães Aleluia ,&nbsp;Ruan Barbosa Sales ,&nbsp;Mariana Moitinho Ferraz de Oliveira ,&nbsp;Mário Marques da Silva Junior ,&nbsp;Douglas Gonçalves da Silva ,&nbsp;Anaildes Lago de Carvalho","doi":"10.1016/j.jfca.2026.108975","DOIUrl":"10.1016/j.jfca.2026.108975","url":null,"abstract":"<div><div>Tartrazine, a synthetic dye, can cause adverse health effects to human health. The Food and Drug Administration (FDA) and the Codex Alimentarius / FAO-WHO have established specific guidelines, including a maximum limit of 300 mg kg⁻¹. The ANVISA has established an acceptable daily intake (ADI) of 7.5 mg kg⁻¹, as well as requiring detailed labeling on possible hypersensitivity reactions. In this context, this work proposed an analytical method based on Digital Image Colorimetry (DIC), using smartphones, to direct determine the concentration of tartrazine in nutritional and pharmaceutical supplements. The method was optimized using a full factorial design, with the distance from the camera to the sample being the most significant variable. The colorimetric method showed statistically equivalent performance to the spectrophotometric method, with good sensitivity, precision and accuracy. The detection limit (LOD) and quantification limit (LOQ) for DIC method were 0.0018 g L⁻¹ and 0.0062 g L⁻¹. For spectrophotometric method LOD and LOQ were 0.0012 g L⁻¹ and 0.0043 g L⁻¹. Precision was performed as repeatability and intermediate precision, and the values were in the range of 0.16–0.59 %. The linear concentration range for both DIC and spectrophotometric methods were 0.0062–0.05 g L⁻¹ and 0.0043–0.04 g L⁻¹, respectively. An addition and recovery tests were performed, and recoveries ranged from 91.74 % to 100.5 %. Tartrazine concentrations of analyzed samples ranged from 0.0064 to 0.0408 g L⁻¹ in the DIC method and 0.0064–0.0390 g L⁻¹ in the spectrophotometry method. The tartrazine concentrations of the samples obtained by DIC method were in agreement to those obtained by the spectrophotometric method. All the concentrations found are below the maximum permitted limit, as established by the regulatory institutions, indicating that the supplements analyzed comply with current standards. DIC is a promising, affordable, low-cost, fast and sustainable alternative to traditional methods, allowing direct analysis of organic analytes in complex samples. This is the first report for DIC application to directly determine tartrazine in supplements.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108975"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171120","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":"Determination of four heavy metals in mung beans using supramolecular eutectic solvent/MWCNT combined with ICP-MS","authors":"Yuling Gao ,&nbsp;Chao Wang ,&nbsp;Zhe Ming ,&nbsp;YuZhu Zhang ,&nbsp;Yuhu Zuo ,&nbsp;Yongxia Guo","doi":"10.1016/j.jfca.2026.108947","DOIUrl":"10.1016/j.jfca.2026.108947","url":null,"abstract":"<div><div>Despite the recognized detoxification properties of mung bean, its capacity to accumulate heavy metals may pose potential risks. In this study, magnetic carbon nanotubes were modified with a supramolecular eutectic solvent (SUPRADES) to prepare a SUPRADES/MWCNTs sorbent. This sorbent was applied to develop a new method for the determination of heavy metals such as As, Pb, Cd, and Cr in mung beans by magnetic solid-phase extraction coupled with ICP-MS. The sorbent was characterized by FT-IR and TEM techniques, and the optimal experimental parameters were established by evaluating adsorbent dosage, dispersion method, extraction time, elution time, and other factors. Recovery experiments were performed to validate the accuracy and reproducibility of the method. The method achieved high recoveries (95.8 % to 105.4 %) for the detection of As, Pb, Cd, and Cr in mung beans, with a linear range from 1 to 500 ng·mL⁻¹. Overall, this method holds significant promise for sensitive and reliable heavy metal monitoring in legumes, and provides valuable insights for developing safety assessment approaches for other food crops.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108947"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147421711","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":"Report on Agriculture & Food Systems Institute’s Crop Composition Database Version 10.1: An open-access resource for high-quality composition data","authors":"Bhavneet Bajaj ,&nbsp;Philip Brune ,&nbsp;Brandon Fast ,&nbsp;Véronique J. Barthet ,&nbsp;Mohamed Bedair ,&nbsp;Alison Edwards ,&nbsp;Nancy Gillikin ,&nbsp;Jennifer Helm ,&nbsp;Eric Ma ,&nbsp;Aniruddha Raychaudhuri ,&nbsp;David Roberts ,&nbsp;Diego Rodriguez ,&nbsp;Ann Scaife ,&nbsp;Seonwoo Oh","doi":"10.1016/j.jfca.2026.108981","DOIUrl":"10.1016/j.jfca.2026.108981","url":null,"abstract":"<div><div>Composition studies that assess similarities and differences in levels of nutrients, anti-nutrients, and secondary metabolites are an essential part of the safety assessment of new crop varieties that are used as food and feed. It is important to understand the purpose of the data and its context in the safety assessment. The Crop Composition Database (CCDB) is a publicly available resource of composition data with application in comparative compositional assessment of genetically modified crops, informing healthy diets for livestock, and improving knowledge of global datasets related to food security and overall nutrition. Version 10.1 of the CCDB provides comprehensive composition data for 18 conventionally bred food, feed, fiber, and tree crops. The CCDB contains a little over 1.5 million data points across 232 analytes collected from field trials in 19 countries over a span of 27 years. The aim of this report is to provide information on operation and features of the CCDB, improvements to the database platform, data providers, data users, and the workflow to include data into CCDB. It also elucidates the analysis of selected datasets from the CCDB to gain an insight into the factors that contribute to the variability that is observed in crop composition.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108981"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147421712","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":"Quality and safety assessment of bottled water in Jordan markets","authors":"Anas Alshishani ,&nbsp;Yousef Al-ebini ,&nbsp;Maryam Shoai ,&nbsp;Diya Alsafadi ,&nbsp;Ghaid Hussein ,&nbsp;Lena Shaghlil","doi":"10.1016/j.jfca.2026.108929","DOIUrl":"10.1016/j.jfca.2026.108929","url":null,"abstract":"<div><div>This study evaluated the quality and safety of 176 different bottled water brands from markets across Jordanian governorates, assessing compliance with WHO/EPA/Jordanian standard (JS) guidelines. Both cupped and bottled packaging formats were evaluated for 10 regular parameters, 56 irregular elements (Li, B, Mg, Al, Si, K, Ca, V, Pd, Ag, Ru, Rh, Se, Mo, Zn, As, Ni, Cu, Mn, Co, Cr, Fe, Cd, Sn, Sb, Ba, Ir, Pt, Hg, Tl, Pb, Bi, Ce, Dy, Eu, Ga, Ge, In, Ir, La, Lu, Nd, Pr, Rb, Sm, Sc, Na, Ta, Te, Tb, Tm, W, Yb, Y, Zr, and bromate), 6 microbiological parameters (total coliforms, <em>E. coli</em>, <em>Pseudomonas aeruginosa</em>, total viable count, yeast and mold, and Salmonella), and 10 pesticides and organic pollutants. The standard Water Quality Index (WQI) may mask zero value. Bacterial override integrates microbiological and chemical risks. Most brands (≈74 %) were classified as “Excellent”, though some samples significantly exceeded guideline limits for contaminants (bromate, nitrite, nitrate, B, Ba, Al, Mg, Se, and Pb). Microbial hazard was significantly higher in cupped water than bottled, primarily due to packaging and handling practices. Spatial analysis revealed notable geographic disparities in water quality, underscoring the need for strengthened monitoring and regulatory oversight.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108929"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076080","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":"Pesticide residues in Sparassis crispa and pesticidal efficacy against Lycoriella ingenua","authors":"Junheon Kim","doi":"10.1016/j.jfca.2026.108965","DOIUrl":"10.1016/j.jfca.2026.108965","url":null,"abstract":"<div><div>This study aimed to evaluate the pesticidal efficacy and residue levels of lufenuron, teflubenzuron, and spinetoram in <em>Sparassis crispa</em> for potential pesticide registration. Field trials confirmed that all three insecticides effectively controlled <em>Lycoriella ingenua</em>, a major mushroom pest, with efficacy rates exceeding 90 %. Residue analysis was conducted using QuEChERS or SPE combined with chromatography<span><img></span>electron capture detector (GC-ECD) and liquid chromatography<span><img></span>tandem mass spectrometry (LC-MS/MS), with method validation showing acceptable linearity, recovery, and sensitivity. The mean residues of lufenuron, teflubenzuron, and spinetoram were 0.547, 0.577, and 0.453 mg/kg, respectively, after a single application and a 14-day pre-harvest interval (PHI) at the recommended doses. The hazard quotient (HQ) values of the three pesticides in <em>S. crispa</em> for chronic dietary risk assessment ranged from 0.103 % to 0.416 %. All HQ values were below 100 %, indicating that the health risk to consumers was negligible. These findings provide useful information for pesticide registration and contribute to establishing safe pesticide application guidelines and maximum residue limits (MRLs).</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108965"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170981","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}