Journal of food protection最新文献

{"title":"Corrigendum to “The Combined Use of High Pressure Processing and Lactic Acid Containing Fermentate on Inactivation of Salmonella, Shiga Toxin-producing E. coli, and Listeria monocytogenes in Raw Pet Foods” [J. Food Protect. 87(12) (2024) 100390]","authors":"Alvin Lee , Nicole Maks-Warren , Viviana Aguilar , Brittany Swicegood , Lindsay Halik , Joshua Warren , Edward O’Neill , Jason Meents , Susy Tejayadi","doi":"10.1016/j.jfp.2025.100465","DOIUrl":"10.1016/j.jfp.2025.100465","url":null,"abstract":"","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 3","pages":"Article 100465"},"PeriodicalIF":2.1,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Corrigendum to “Population Analyses Reveal Pre-enrichment Method and Selective Enrichment Media Affect Salmonella Serovars Detected on Broiler Carcasses” [J. Food Protect. 82(10) (2019) 1688–1696]","authors":"Nelson A. Cox , Mark E. Berrang , Sandra L. House , David Medina , Kim Cook , Nikki W Shariat","doi":"10.1016/j.jfp.2024.100415","DOIUrl":"10.1016/j.jfp.2024.100415","url":null,"abstract":"","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 3","pages":"Article 100415"},"PeriodicalIF":2.1,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Initializing a public repository for hosting benchmark datasets to facilitate machine learning model development in food safety.","authors":"Chenhao Qian, Huan Yang, Jayadev Acharya, Jingqiu Liao, Renata Ivanek, Martin Wiedmann","doi":"10.1016/j.jfp.2025.100463","DOIUrl":"https://doi.org/10.1016/j.jfp.2025.100463","url":null,"abstract":"<p><p>While there is clear potential for artificial intelligence (AI) and machine learning (ML) models to help improve food safety, the development and deployment of these models in the food safety domain is by and large lacking. The absence of publicly available databases that host well-curated datasets that can be used to develop and validate AI /ML models represents one likely barrier. Thus, we took three previously published datasets, which we further cleaned and annotated, and made them publicly available in a repository called Cornell Food Safety ML Repository. The selected datasets include (i) presence or absence of Listeria spp. in soil samples collected across the U.S. with paired metadata for soil properties, geolocation, climate, and surrounding land use, (ii) presence or absence of Salmonella and Campylobacter in young chicken carcasses tested in processing facilities with associated meteorological and temporal metadata, and (iii) presence or absence of fecal contamination as well as E. coli concentration in New York watersheds with associated metadata for land use, water attributes, and meteorological factors. These datasets can serve as benchmark datasets for developing ML models. To demonstrate the utility of the repository, we developed customizable scripts as well as LazyPredict (a quick screening method) scripts for training different types of ML models using the shared datasets. While this repository provides an important starting point that will allow for the development and testing of ML models to predict foodborne pathogens contamination in different sources, inclusion of further datasets is clearly needed to advance this field. This paper thus includes a call to action for the deposit of well-curated datasets that can be used for further development of predictive models in food safety. This paper will also discuss the benefits of such public databases, including the assessment of data-sharing scenarios using existing privacy-preserving techniques.</p>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":" ","pages":"100463"},"PeriodicalIF":2.1,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143374016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What Lies Behind Mycotoxin Presence in Animal Feed? A case study.","authors":"Maria-Eleni Dimitrakopoulou, George Marinos, Manos Karvounis, Chris Elliott","doi":"10.1016/j.jfp.2025.100464","DOIUrl":"https://doi.org/10.1016/j.jfp.2025.100464","url":null,"abstract":"<p><p>This study investigates seasonal trends and correlations among different mycotoxins in animal feed, employing time series analysis and Seasonal-Trend Decomposition using LOESS (STL) to uncover patterns and relationships. Data collected from Food Fortress, covering 2014 to 2024, includes feed for ruminants, pigs, and poultry. The analysis reveals that seasonality accounts for less than 15% of the variability in mycotoxin levels, suggesting a limited seasonal influence. High deoxynivalenol (DON) concentrations in ram feed were attributed to specific management practices, while persistent DON levels in pig and poultry feed highlight the need for enhanced interventions. A strong correlation between DON and zearalenone (ZEN) was identified in pig and poultry feed. Over the study period, aflatoxin levels exhibited a slight increase, potentially linked to evolving climatic conditions, whereas DON and ZEN levels showed a slight decline. Furthermore, an inverse correlation between aflatoxin and ochratoxin levels suggests competitive interactions among fungal species, such as Aspergillus and Penicillium. These findings provide valuable insights into the intricate interactions of seasonal factors, management practices, and fungal ecology shaping mycotoxin contamination in animal feed. The study emphasizes the need for advanced mitigation strategies, including predictive modeling and artificial intelligence, to monitor and manage mycotoxin risks effectively at regional level, ensuring feed safety and quality in the face of evolving environmental and management challenges.</p>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":" ","pages":"100464"},"PeriodicalIF":2.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143374021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and Concentration of Aflatoxin M1 in Mother Milk: A Meta-analysis, Meta-regression, and Infants’ Health Risk Assessment","authors":"Yadolah Fakhri ,&nbsp;Vahid Ranaei ,&nbsp;Zahra Pilevar ,&nbsp;Maryam Sarkhosh ,&nbsp;Mansour Sarafraz ,&nbsp;Zohreh Abdi-Moghadam ,&nbsp;Reihane Javid","doi":"10.1016/j.jfp.2025.100462","DOIUrl":"10.1016/j.jfp.2025.100462","url":null,"abstract":"<div><div>Breast milk is a complete and nutritious food for newborns and infants, but it may be contaminated with Aflatoxin M₁ (AFM₁), which endangers consumers’ health. Several studies from various regions have determined the concentration and prevalence of AFM₁ in mother milk. In this study, an attempt was made to meta-analyze the concentration and prevalence of AFM₁ and estimate the health risk of infants. The concentration and prevalence of AFM₁ in the countries subgroup were meta-analyzed in the random effects model (REM), and also the effect over time on the prevalence of AFM₁ was determined by meta-regression. Finally, the human risk in infants was estimated via the margin of exposure (MOE_S) in different countries. The five countries with the highest prevalence of AFM₁ in mother milk were observed in Jordan (100.00), Tanzania (100.00), Mexico (97.00%), Lebanon (93.69%), and Colombia (90.00%). The pooled prevalence of AFM₁ in mother milk was 54.48%, 95% CI (42.99–65.73). The five countries with the highest concentration of AFM₁ in mother milk were observed: Egypt (570 µg/l), Sudan (413 µg/l), Cameroon (315.00 µg/l), Serbia (175 µg/l), and Tanzania (70 µg/l). The pooled prevalence of AFM₁ in mother milk was 6.00, 95% CI (5.80–6.90(. Except for Egypt, infants in other countries are at an acceptable health risk (MOEs &gt; 10,000). Considering the unacceptable risk due to the consumption of milk containing AFM₁ in Egypt, it is suggested that programs be carried out to control the quality of mother milk.</div></div>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 3","pages":"Article 100462"},"PeriodicalIF":2.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143365073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Prevalence and Characterization of Salmonella Species on U.S. Swine Sites as Part of the NAHMS 2021 Swine Enteric Study","authors":"Stephanie C. Hempstead ,&nbsp;Catherine A. Gensler ,&nbsp;Charles A. Haley ,&nbsp;Alyson M. Wiedenheft ,&nbsp;James B. Robertson ,&nbsp;Paula J. Fedorka-Cray ,&nbsp;Megan E. Jacob","doi":"10.1016/j.jfp.2024.100435","DOIUrl":"10.1016/j.jfp.2024.100435","url":null,"abstract":"<div><div><em>Salmonella</em> species are an important cause of systemic and gastrointestinal disease in animals and humans worldwide; they are also increasingly resistant to multiple classes of antimicrobials which may aid in their treatment and control. <em>Salmonella</em> can also be shed asymptomatically. The aim of this study was to survey the U.S. swine industry to determine and update estimates of <em>Salmonella</em> prevalence, antimicrobial resistance (AMR), replicon distribution, and biofilm potential as part of the United States Department of Agriculture (USDA) National Animal Health Monitoring System (NAHMS) 2021 Swine Study. A total of 1,043 fecal samples were collected from finishing swine 20 weeks and older on 39 sites, from November 2021 through April 2022. <em>Salmonella</em> detection was culture-based and antimicrobial susceptibility was determined by broth microdilution; replicon typing was completed by PCR. Biofilm potential was assessed using a crystal violet assay and normalized to a positive control strain. Overall, the prevalence of <em>Salmonella</em> in swine feces was low (3.9%; 41 of 1,043) and comprised of a broad range of serotypes including <em>S.</em> Derby (34.1%) and <em>S</em>. I 4,[5],12:i:- (22.0%), also found previously. Resistance to at least one antimicrobial agent was detected in 61.0% of isolates with the most prevalent resistance to tetracycline (53.7%). Multidrug resistance (≥3 antimicrobial classes) was found in 26.8% of isolates. The most prevalent replicon types detected were IncHI2 (24.4%) and IncA/C (24.4%), both of which have previously been associated with <em>Salmonella</em> isolated from swine. The majority (85.4%) of isolates formed some biofilm <em>in vitro</em>, characterized as weak (36.6%), moderate (39.0%), or strong (9.8%), with no major associations among common serotype or AMR pattern. Surveillance programs updating the prevalence and characteristics of <em>Salmonella</em> in the U.S. swine population will inform ongoing farm-level and public health efforts to mitigate animal and human health risks.</div></div>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 2","pages":"Article 100435"},"PeriodicalIF":2.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142864516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Cross-contamination Risks in Dry Produce Packinghouses: Efficacy of Alcohol-based Sanitizers to Reduce Salmonella and Potential Surrogates on Relevant Surface Materials","authors":"Alexandra Nerney ,&nbsp;Stuart Reitz ,&nbsp;Jovana Kovacevic ,&nbsp;Joy Waite-Cusic","doi":"10.1016/j.jfp.2024.100443","DOIUrl":"10.1016/j.jfp.2024.100443","url":null,"abstract":"<div><div>A 2020 <em>Salmonella</em> outbreak was epidemiologically linked to red onions; however, insufficient cleaning and sanitation in the packinghouse expanded the recall to include all onions handled by the packing house in the preceding 3 months. Our objective was to evaluate the efficacy of dry sanitizers to reduce cross-contamination risk on food contact surfaces (FCSs) found in postharvest packing areas. Transfer of <em>Salmonella</em> and potential surrogates (<em>Escherichia coli</em>, <em>Enterococcus faecium</em>) to and from onions to FCS materials (high-density polypropylene, polyester-nylon conveyor belts, plywood) was quantified. Transfer rates from inoculated onions to FCS were highly variable, but did not differ by surface, averaging −1.19 log %. Transfer rates from contaminated FCS to uninoculated onions averaged 0.2 log %, with 40% (31/81) of onions having no detectable transfer. Onion variety, surface type, and species did not influence the transfer rate (<em>p &gt;</em> 0.05). Commercial sanitizers and alcohol solutions were tested for efficacy of reducing targeted bacteria on FCS. Reductions were quantified after 30 s and after drying (15 min). High alcohol sanitizers (∼60%) achieved a 5-log reduction on HDPE after drying. Lower alcohol (&lt;30%) products were ineffective (&lt;2-log reduction). <em>E. coli</em> and <em>Salmonella</em> were comparable in sensitivity to sanitizers, but <em>E. faecium</em> was more sensitive (<em>p</em> &lt; 0.05). Transfer and sanitizer evaluation was scaled to investigate cross-contamination in postharvest storage bins (plastic and wood). With no sanitation, inoculated plastic bin contact resulted in contamination of 49–71% of onions. Use of ∼60% alcohol solutions reduced contamination to &lt;4% of onions (<em>p</em> &lt; 0.05). Low-alcohol product significantly increased cross-contamination to 86–100% of onions (<em>p</em> &lt; 0.05). These findings highlight the importance of validating sanitizer efficacy to quantify microbial reduction and cross-contamination risk on produce contact surfaces.</div></div>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 2","pages":"Article 100443"},"PeriodicalIF":2.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142903246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Occurrence and Risk Assessment of Tetracycline Residues in Layer Eggs in Haryana, India","authors":"Khushbu Bishnoi,&nbsp;Pallavi Moudgil,&nbsp;Deepak Soni,&nbsp;Vijay J. Jadhav","doi":"10.1016/j.jfp.2025.100449","DOIUrl":"10.1016/j.jfp.2025.100449","url":null,"abstract":"<div><div>Antibiotics are extensively used in layer flocks for the prevention of diseases and to enhance their growth and production. However, their nonprudent use is leading to the occurrence of residues in eggs. The present study aimed at the detection of tetracycline group residues in egg samples collected from layer farms located in Haryana, India, and human health risk assessment. A total of 100 pooled egg samples were analyzed using High-Performance Liquid Chromatography with Ultraviolet detector for the detection of tetracycline group residues. Out of 100 pooled samples, 13 (13%) were found to be contaminated with tetracycline residues (12 for chlortetracycline and one for tetracycline). Of these, five (38.5%) samples (one for tetracycline and four for chlortetracycline) exceeded the maximum residue limit (MRL) established by Food Safety and Standards Authority of India. The risk assessment based on the per capita availability of eggs in Haryana revealed that the current levels of residues in eggs pose no significant toxicological effects on the consumer’s health. The residues exceeding MRL indicate nonprudent use of antibiotics in veterinary practices, which could lead to the emergence of antibiotic resistance. There is a need to generate awareness among farmers toward judicious antibiotic usage in layer birds and adherence to withdrawal periods to prevent the escalating problem of antibiotic resistance.</div></div>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 2","pages":"Article 100449"},"PeriodicalIF":2.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142950042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Prevalence and Characterization of Staphylococcus aureus Isolated from Meat and Milk in Northeastern Italy","authors":"Debora Pinamonti ,&nbsp;Marisa Manzano ,&nbsp;Michela Maifreni ,&nbsp;Silvia Bianco ,&nbsp;Beki Domi ,&nbsp;Alessia Ferrin ,&nbsp;Jamila Anba-Mondoloni ,&nbsp;Julien Dechamps ,&nbsp;Roman Briandet ,&nbsp;Jasmina Vidic","doi":"10.1016/j.jfp.2024.100442","DOIUrl":"10.1016/j.jfp.2024.100442","url":null,"abstract":"<div><div><em>Staphylococcus aureus</em> is a pathogenic microorganism often found in animal-derived foods and is known for its ability to readily develop resistance to antibiotic treatments. This study was designed to determine the prevalence of <em>S. aureus</em> strains in raw milk and meat in Italy and to evaluate their antibiotic resistance profiles and biofilm production. Among the meat isolates, 41.67% were resistant to ampicillin, and 25% were methicillin-resistant <em>S. aureus</em> (MRSA). In milk, 20% of the isolates were resistant to gentamycin, while 5.71% were MRSA. The prevalence of multidrug-resistant strains was higher in meat (16.67%) compared to milk (5.71%). The biofilm formation capability was assessed in most of the isolates (80% in milk and 100% in meat). Representative strains exhibiting different antibiotic resistance profiles were all negative for the enterotoxin genes <em>sea, seb, sec</em>, <em>sed</em>, and <em>see</em>, but harbored potential virulence factors such as hemolytic activity, high pigmentation, low cell envelop permeability, charged and hydrophobicity. Finally, the interaction of representative strains with human Caco-2 intestinal cell line showed that most strains had an adhesion capacity. Our findings reveal that foodborne isolates of <em>S. aureus</em> present a considerable threat to consumers due to their production of virulence factors, which enhance their pathogenicity and increase the likelihood of antibiotic treatment failures.</div></div>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 2","pages":"Article 100442"},"PeriodicalIF":2.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142895209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"The Impact of Training Intervention on Levels of Indicator Bacteria and Prevalence of Selected Pathogens in Raw Milk From Smallholder Women Dairy Farmers in Central Ethiopia","authors":"Achenef Melaku Beyene ,&nbsp;Seleshe Nigatu ,&nbsp;Juan C. Archila-Godinez ,&nbsp;Kebede Amenu ,&nbsp;Barbara Kowalcyk ,&nbsp;Desalegne Degefaw ,&nbsp;Binyam Mogess ,&nbsp;Baye Gelaw ,&nbsp;Mucheye Gizachew ,&nbsp;Araya Mengistu ,&nbsp;Ahmed G. Abdelhamid ,&nbsp;James Barkley ,&nbsp;Ahmed Yousef","doi":"10.1016/j.jfp.2024.100446","DOIUrl":"10.1016/j.jfp.2024.100446","url":null,"abstract":"<div><div>Contamination of milk is a serious public health risk, particularly in developing countries such as Ethiopia. Training is a tool for improving the quality and safety of milk. However, its effect on the microbial quality and safety of milk has not been well documented. This study assessed the impact of training interventions on the microbial quality and safety of milk, with a specific focus on smallholder dairy farms. The study was conducted from January to June 2022 in four locations in Central Ethiopia. Milk samples were collected from 120 dairy farmers one week before and four to six weeks after the training and analyzed for total coliforms, thermotolerant coliforms, <em>Escherichia coli</em>, Shiga toxin-producing <em>E. coli</em> (STEC), <em>Salmonella enterica,</em> and <em>Campylobacter jejuni</em>. Total and thermotolerant coliforms were determined by the Most Probable Number (MPN) method; categorized as high (≥1,001 MPN/ml), medium (101 10³ MPN/ml), low (21–10² MPN/ml), and very low (≤20 MPN/ml); and analyzed using generalized linear mixed models. Prevalence of <em>E. coli</em>, STEC, <em>S. enterica</em>, and <em>C. jejuni</em> in raw milk samples were 67, 12, 3, and 4% pretraining and 45, 4, 3, and 2% posttraining, respectively. The prevalence of <em>E. coli</em> (<em>p</em> = 0.0389) and STEC (<em>p</em> = 0.0005) was significantly lower posttraining compared to pretraining. Most samples had total coliform counts exceeding 10³ MPN/ml pretraining (71%); this proportion decreased to 62% posttraining. The estimated cumulative probability of being in the high category was marginally significantly higher (<em>p</em> = 0.0581) pretraining (76%) compared to posttraining (64%). In conclusion, reductions in the detection of some milk quality and safety parameters were observed. However, a considerable proportion of the milk samples were highly contaminated even after the training. Hence, comprehensive and continued risk mitigation strategies are needed to ensure milk safety for consumers.</div></div>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 2","pages":"Article 100446"},"PeriodicalIF":2.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142907105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}