Journal of Food Composition and Analysis最新文献

{"title":"Vis-NIR and NIR hyperspectral imaging combined with convolutional neural network with attention module for flaxseed varieties identification","authors":"Dongyu Zhu ,&nbsp;Junying Han ,&nbsp;Chengzhong Liu ,&nbsp;Jianping Zhang ,&nbsp;Yanni Qi","doi":"10.1016/j.jfca.2024.106880","DOIUrl":"10.1016/j.jfca.2024.106880","url":null,"abstract":"<div><div>The screening and identifying flax germplasm resources are critical for achieving precise flax breeding and variety enhancement. This study integrates hyperspectral imaging (HSI) technology with deep learning to identify flaxseed varieties. Hyperspectral images were captured for 15 flaxseed varieties across two spectral ranges: Vis-NIR (380–1018 nm) and NIR (870–1709 nm). PCA and LDA were utilized to visually cluster these varieties. To automatically learn the spectral features and improve model performance, a one-dimensional convolutional neural network (CAM-TM-1DCNN) embedded with a channel attention module (CAM) and transformer module (TM) was developed for rapid recognition of flaxseed varieties. Experimental results validate the model's efficacy. Compared with ELM, BPNN, LSTM and 1DCNN classification models, the CAM-TM-1DCNN demonstrated superior classification performance in the NIR spectral range, achieving a test accuracy of 95.26 %. Moreover, all models performed better in the NIR spectral range compared to the Vis-NIR spectral range. The study also evaluated the impact of SPA and CARS feature selection algorithms on the classification models, confirming that the full-spectrum-based CAM-TM-1DCNN model outperformed others. These findings suggest that the CAM-TM-1DCNN model can effectively identify flaxseed varieties, providing a novel strategy and viable technical approach for future flaxseed variety recognition based on HSI technology.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106880"},"PeriodicalIF":4.0,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537418","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":"Fats and oils contaminants: an analysis of EU RASFF notifications from 1999 to 2023","authors":"Fawzy Eissa ,&nbsp;Nour El-Hoda A. Zidan ,&nbsp;Ahmed Salem Sebaei","doi":"10.1016/j.jfca.2024.106875","DOIUrl":"10.1016/j.jfca.2024.106875","url":null,"abstract":"<div><div>Between 1999 and 2023, an extensive analysis of 713 notifications from the EU Rapid Alert System for Food and Feed (RASFF) related to fats and oils was conducted. The analysis covered the most frequently reported products, associated hazards, countries of origin, notification classifications, risk decisions, and actions taken in response. The data demonstrate considerable variability in RASFF notifications throughout the studied period, with significant spikes and a recent upward trend. Of all notifications, 44.32 % were categorized as alerts, and 23.42 % as border rejections. In terms of risk decisions, 34.08 % were deemed serious and 60.59 % remained undecided. Palm oil emerged as the most frequently notified product, representing 37.87 % of all notifications, followed by olive oil at 15.71 % and sunflower oil at 11.36 %. The Sudan 4 dye was identified as the most common hazard, constituting 30.01 % of all fats and oils notifications. Other notable hazards included benzo(a)pyrene (26.65 %), glycidyl esters (6.03 %), and chlorpyrifos (3.37 %). The top three countries of origin for RASFF notifications on fats and oils were Ghana (22.30 %), Ukraine (13.18 %), and Italy (9.96 %). These findings could benefit further research and influence decision-making, thereby enhancing food safety protocols in the global production, processing, and distribution of fats and oils.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106875"},"PeriodicalIF":4.0,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537416","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":"Biochemical and antioxidant activities, organic acid contents, fatty acid compositions, mineral element contents, and carbohydrate contents of sumac (Rhus coriaria L.) accessions found in the Eastern Mediterranean region of Türkiye","authors":"Yazgan Tunc","doi":"10.1016/j.jfca.2024.106877","DOIUrl":"10.1016/j.jfca.2024.106877","url":null,"abstract":"<div><div>The genus <em>Rhus</em>, belonging to the <em>Anacardiaceae</em> family, encompasses over 250 species. This study aimed to evaluate the biochemical and antioxidant activities, organic acid contents, fatty acid compositions, mineral element contents, and carbohydrate contents of 100 sumac accessions from Hatay province. Total phenolics varied from 89.46 to 316.33 mg GAE/g DW, total flavonoids ranged from 1.99 to 9.79 mg QE/g DW, and total antioxidant activity was between 24.33 % and 87.66 %. The dominant components identified were malic acid (1255.59–2659.47 mg kg^–1), oleic acid (27.33–59.12 %), phosphorus (5869.69–7122.58 mg kg^–1), and xylan (17.98–27.24 %). In the principal component analysis, the first nineteen components explained 70.16 % of the total variance. According to Ward's method and Euclidean distance, the UPGMA dendrogram revealed four subgroups (A1, A2, B1, and B2) with 24, 28, 14, and 34 accessions, respectively. Significant correlations were found between fatty acid compositions and nutrient minerals. The identified high-quality sumac accessions (‘S47’, ‘S66’, ‘S100’, ‘S14’, ‘S97’, ‘S82’, ‘S93’, ‘S94’, ‘S43’, ‘S88’, ‘S2’, ‘S50’, ‘S20’, ‘S71’, ‘S78’, ‘S58’, ‘S48’, ‘S90’, ‘S23’, ‘S95’, ‘S91’, ‘S13’, ‘S74’, ‘S72’, and ‘S28’, respectively) are poised to contribute significantly to breeding studies aimed at developing more nutritious sumac cultivars. These accessions may also serve as antioxidant-rich products in the food and health sectors, enhancing agricultural production and economic benefits.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106877"},"PeriodicalIF":4.0,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537310","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":"Efficient detection of wheat mold degree using novel nano-composite colorimetric sensor","authors":"Hui Jiang ,&nbsp;Menghan Ge ,&nbsp;Jihong Deng ,&nbsp;Quansheng Chen","doi":"10.1016/j.jfca.2024.106874","DOIUrl":"10.1016/j.jfca.2024.106874","url":null,"abstract":"<div><div>Wheat is one of the most significant food crops globally, and the aflatoxin B1 (AFB1) produced by wheat mold has the potential to cause substantial harm to humans and livestock. This study employed mesoporous silica nanoparticles (MSNs) to modify colorimetric sensing arrays (CSA) for the preparation of nano-composite colorimetric sensors (Nano-CSA) for the identification of the degree of wheat mold. Twelve metal porphyrin reagents were selected as chemical response dyes for the construction of the CSA. To enhance the sensor's sensitivity, the MSNs were individually combined with the 12 chemical response dyes, and the homogeneous integration of the MSNs and dyes was facilitated through techniques such as ultrasonic oscillation and magnetic stirring. The sensor is designed to react with the volatile gas the fungus produces in a closed reaction chamber. The MSNs effectively capture gas molecules, causing significant color changes in the chemical dyes, thereby enabling the characterization of the gas fingerprints of wheat with different degrees of mold through a colorimetric sensing system. The data were subjected to characterization techniques and data analysis to demonstrate the effectiveness of the nano-modified sensor array. The CSA demonstrated an accuracy of 87.50 % in identifying wheat samples with varying degrees of mildew, while the Nano-CSA classification model exhibited an accuracy of 97.50 %. These findings indicate that nano-modification can enhance the responsiveness of chemical response dyes to gas molecules. Nano-CSA can effectively and sensitively distinguish the degree of wheat mildew, suggesting potential applications in predicting the degree of wheat mildew.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106874"},"PeriodicalIF":4.0,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537413","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":"Particle size analysis of iron hydroxide adipate tartrate (IHAT) in a food supplement: Interlaboratory testing of a dynamic light scattering method","authors":"Otmar Geiss ,&nbsp;Ivana Bianchi ,&nbsp;Hind El Hadri ,&nbsp;Jessica Ponti ,&nbsp;Frederic Brassinne ,&nbsp;Charlotte Wouters ,&nbsp;Jan Mast ,&nbsp;Katrin Loeschner ,&nbsp;Lucas Givelet ,&nbsp;Francesco Cubadda ,&nbsp;Andrea Raggi ,&nbsp;Francesca Ferraris ,&nbsp;Volker Gräf ,&nbsp;Etienne Devy Mantovan ,&nbsp;Michela Zanella ,&nbsp;Federico Benetti ,&nbsp;Josefa Barrero-Moreno","doi":"10.1016/j.jfca.2024.106866","DOIUrl":"10.1016/j.jfca.2024.106866","url":null,"abstract":"<div><div>Iron hydroxide adipate tartrate (IHAT) is a nano-scale material with a diameter of less than 5 nm intended for use as iron source in food supplements. It is the first engineered nanomaterial that was authorised as novel food in the European Union in 2022 (Commission Implementing Regulation (EU) 2022/1373) and subsequently added to the European Union list of novel foods. Official control laboratories of EU Member States are required to conduct compliance testing of novel foods, including IHAT, against approved specifications. In the case of IHAT, the authorised specifications include the constituent particle size, referred to in the implementing regulation as ‘primary particle size’. In this study, a method to determine the constituent particle size distribution of IHAT using the volume-based hydrodynamic diameter with dynamic light scattering is proposed and tested in an interlaboratory comparison study involving five experienced European food control and food research laboratories. Three test materials were examined, including an early batch of IHAT without the flow agent, a damaged material unintentionally exposed to water, and the final commercial product that included the flow agent. The results demonstrate that dynamic light scattering can reliably measure the particle size of particles in the low nanometre range if samples are prepared and measured following a robust, easy-to-reproduce, and standardised protocol. The results obtained for the commercial product met the compliance requirements specified in the annex of the Commission Implementing Regulation in all laboratories for the primary particle size distribution (Dv(10/50/90)). The method proposed in this study could represent an initial step towards the full validation of the method.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106866"},"PeriodicalIF":4.0,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537422","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":"Evaluating maturity indicators in stingless bee honey: The role of soluble solids over pot condition in harvesting standards","authors":"Adriane Costa dos Santos ,&nbsp;Marcia Regina Faita ,&nbsp;Luciano Valdemiro Gonzaga ,&nbsp;Ana Carolina Oliveira Costa","doi":"10.1016/j.jfca.2024.106869","DOIUrl":"10.1016/j.jfca.2024.106869","url":null,"abstract":"<div><div>In stingless bee honey (SBH) harvesting, beekeepers often collect honey without accurately assessing its maturation stage, which can impact its physicochemical diversity. This study aimed to evaluate the influence of storage pot condition on SBH maturity by examining honey from open pots (OP) and closed pots (CP). It is commonly assumed that honey in OP is immature and honey in CP is mature. Our physicochemical analyses, including moisture content, soluble solids (°Brix), sugars, and aliphatic organic acids (AOA), tested this hypothesis. The findings revealed that 40 % of SBH samples from OP were mature, challenging the initial assumption. Furthermore, AOA analysis showed that gluconic, acetic, and lactic acids are predominant in SBH, but no direct correlation between AOA concentration and honey maturity was observed. Based on these results, we conclude that OP and CP are not reliable indicators of SBH maturity. This was a preliminary study, providing results that can be further investigated through the validation of the applied methodology and with a larger number of samples. Nevertheless, this study is an important step towards standardizing SBH and assisting producers during the harvest, ultimately optimizing the collection process. To standardize SBH maturity, we recommend using °Brix values, with values above 55 suggesting mature honey with a moisture content below 40 g 100 g⁻¹. Implementing °Brix measurements can improve harvesting practices, enhance honey quality, reduce bee stress, and increase both honey production and market availability.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106869"},"PeriodicalIF":4.0,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537428","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":"Development of a targeted LC-MS/MS method for the analysis of zero tolerance antimicrobials in buffalo meat","authors":"M. Naveena ,&nbsp;M. Kesavan ,&nbsp;Bharat Taynath ,&nbsp;TP Ahammed Shabeer","doi":"10.1016/j.jfca.2024.106858","DOIUrl":"10.1016/j.jfca.2024.106858","url":null,"abstract":"<div><div>A simple, affordable, and efficient multiresidue analytical method was developed and validated using liquid chromatography-tandem mass spectrometry (LC-MS/MS) to accurately identify and quantify a prioritized zero-tolerance antimicrobial residues in buffalo meat. Analyzing zero-tolerance antimicrobials such as chloramphenicol, metronidazole, and nitrofurans involves detecting even trace levels of residues in food products to safeguard consumer safety and public health. A modified QuEChERS method with 2-nitrobenzaldehyde derivatization using ethyl acetate was employed for the extraction of the antimicrobial compounds, followed by a suitable clean-up. Liquid chromatographic conditions were optimized on a reverse phase C18 analytical column over a runtime of 12 min, and the eluted analytes were observed in selected reaction monitoring mode (SRM). The method's performance was validated in accordance with Regulation (EU) 2019/1871 and Commission Implementing Regulation (EU) 2021/810 guidelines. The linearity of the calibration curves was &gt; 0.99, and the mean recoveries of the analytes ranged from 81.92 % to 110 %. The intra-day and inter-day precisions were less than 9 %. The limits of detection (LOD) and limits of quantification (LOQ) were in the range of 0.04–0.11 µg/kg and 0.13–0.37 µg/kg, respectively. This is well below the MRLs set by the European Commission for zero-tolerance substances.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106858"},"PeriodicalIF":4.0,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537546","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":"A novel ZIF-8 mediated nanocomposite colorimetric sensor array for rapid identification of matcha grades, validated by density functional theory","authors":"Yu Wang ,&nbsp;Muhammad Shoaib ,&nbsp;Junyong Wang ,&nbsp;Hao Lin ,&nbsp;Quansheng Chen ,&nbsp;Qin Ouyang","doi":"10.1016/j.jfca.2024.106864","DOIUrl":"10.1016/j.jfca.2024.106864","url":null,"abstract":"<div><div>The rapid and intelligent assessment of matcha grades remains crucial in quality control. This study proposed a colorimetric sensor array (CSA) mediated with zeolitic imidazolate framework-8 (ZIF-8) to identify matcha grades. The ZIF-8 mediated CSA was innovatively developed by encapsulating the pH indicator and metal porphyrin within the ZIF-8 structure, improving their stability and functionality. ZIF-8 mediated CSA exhibited significantly increased sensitivity towards matcha samples driven by the preconcentration of volatile organic compounds (VOCs) facilitated by ZIF-8. As a result, the response signal values of the CSA increased by 1.13–4.75 times after ZIF-8 mediation. Subsequently, qualitative models for identifying matcha grades were established using K-Nearest Neighbor and Artificial Neural Network (ANN). The ANN model showed the higher discrimination accuracy. Compared with common CSA, the ANN model based on ZIF-8 mediated CSA achieved a better identification rate of 95 %, and recognition accuracy was improved by 7.5 % in the model. These results indicated that the ZIF-8 mediated CSA with a porous structure demonstrated enhanced specificity in capturing VOCs. Ultimately, the density functional theory has confirmed that the ZIF-8-mediated CSA exhibits high selectivity towards matcha's characteristic VOCs. These results highlight the potential of this novel CSA for the rapid identification and grading of matcha.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106864"},"PeriodicalIF":4.0,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537307","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":"Infant and toddler health risks associated with pesticide residue exposure through fruit- and vegetable-based baby food","authors":"Gursel Isci ,&nbsp;Ozgur Golge ,&nbsp;Bulent Kabak","doi":"10.1016/j.jfca.2024.106870","DOIUrl":"10.1016/j.jfca.2024.106870","url":null,"abstract":"<div><div>This research specifically delves into the potential health risks associated with pesticide residues in fruit- and vegetable-based foods for Turkish infants and toddlers. A total of 36 baby food samples were analyzed using a validated method covering 355 pesticide residues, employing liquid chromatography-tandem mass spectrometry (LCMS/MS) and gas chromatography-tandem mass spectrometry (GC-MS/MS). Notably, 72.2 % of the samples revealed no pesticide residues, while 10 samples exceeded the Maximum Residue Limits (MRLs) stipulated by the EU Directives. Specifically, pyriproxyfen had the greatest average concentration in pear fruits (0.573 mg/kg). Notably, both pyrimethanil and pyriproxyfen were the most frequently detected analytes in all positive samples. The study further simulated a population, considering age-specific energy requirements for infants and toddlers. Pyriproxyfen demonstrated the highest average exposure (1.58±2.20 μg/kg bw/day) across all age groups. Notably, for 6-month-old infants, the toxicological contribution as a percentage of the ADI for pesticides remained below 14.73 %. It emphasizes the necessity for regulatory measures to ensure the safety of foods intended for infants and toddlers in the Turkish market. These findings support ongoing efforts to uphold pesticide levels within acceptable safety limits.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106870"},"PeriodicalIF":4.0,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537125","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":"Eu-polyaspartic acid based ratiometric fluorescent probes for ultrasensitive and visual detection of tetracycline and copper ions in food samples","authors":"Feifan Cheng,&nbsp;Yue Huang,&nbsp;Danling Mei,&nbsp;Lei Wang,&nbsp;Xueqin Zhao,&nbsp;Biao Huang","doi":"10.1016/j.jfca.2024.106867","DOIUrl":"10.1016/j.jfca.2024.106867","url":null,"abstract":"<div><div>The visualization and accurate on-site detection of tetracycline and Cu²⁺ residues in food are essential for maintaining food safety and public health. A novel poly (aspartic acid) Ratiometric fluorescent probe was designed for the sensitive visual detection of tetracycline (Tc) and Cu²⁺ using the EDTA-Eu³⁺ complex as the sensing unit and fluorescein dye as the internal standard. The fluorescence of Eu³⁺ at 617 nm was turned on significantly by Tc via the “antenna effect” and can be quenched by Cu²⁺ owing to the inner filter effect. The probes selectively detected Tc and Cu²⁺ over a wide linear range, low LODs of 10 nM and 333 nM, respectively, were obtained. A smartphone APP and probe-loaded test paper were also assembled into a biomass-based portable sensor for visual point-of-use analysis. The fabricated sensors successfully monitored the Tc and Cu²⁺ levels in milk, honey, and tap water samples, suggesting their broad applications in food safety monitoring and environmental analysis.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106867"},"PeriodicalIF":4.0,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537412","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}