{"title":"影响阿拉巴马州池塘微生物污染的环境因素的纵向研究:对定性风险评估的影响。","authors":"Zoila Chevez , Elisa Tobar , Daniel Weller , Camila Rodrigues","doi":"10.1016/j.jfp.2025.100552","DOIUrl":null,"url":null,"abstract":"<div><div>Agricultural water can be a source of microbial contamination for preharvest produce that has been linked to outbreaks and recalls. Over a two-year period, seven agricultural ponds were evaluated bimonthly. A total of 347 samples were tested for EHEC and <em>Salmonella</em> presence using PCR screening. Generic <em>E. coli</em> was quantified and ranged from 1.00 to 4.00 log<sub>10</sub> MPN/100 mL. <em>Salmonella</em> was detected in 6% of samples (21/347), and Kentucky was the most frequently isolated serotype. Public health concern serotypes, such as Newport and Hartford, were also isolated. EHEC biomarkers were detected in 83% (289/347) samples, with gene prevalence as follows: <em>hly</em> 68%, <em>fliC</em> 40%, <em>eaeA</em> 19%, <em>rfbE</em> 12%, <em>stx2</em> 10%, and <em>stx1</em> 4%. Microbial water quality and environmental factors were evaluated using conditional forest and regression analyses. Generic <em>E. coli</em> was negatively associated with the amount of developed land within 365 m of the sampling site and dissolved oxygen and positively associated with total rainfall during the 7 days preceding sampling and turbidity. <em>Salmonella</em> detection was positively associated with the amount of pasture within 30 m of the sampling site and total rainfall during the 7 days preceding sampling and negatively associated with rainfall 24 h prior to sampling. EHEC detection was positively associated with percentages of forest and wetland within a 304 m buffer from the sampling site, rainfall 48 h prior to sampling, and solar radiation, while negatively associated with percentages of developed land within a 91 m buffer from the sampling sites. This study provides baseline, longitudinal data on microbial hazards in Alabama agricultural ponds and informs growers on qualitative risk assessment of agricultural waterways.</div></div>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 7","pages":"Article 100552"},"PeriodicalIF":2.1000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Longitudinal Study of Environmental Factors Influencing Microbial Contamination in Alabama Ponds: Implications for Qualitative Risk Assessment\",\"authors\":\"Zoila Chevez , Elisa Tobar , Daniel Weller , Camila Rodrigues\",\"doi\":\"10.1016/j.jfp.2025.100552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Agricultural water can be a source of microbial contamination for preharvest produce that has been linked to outbreaks and recalls. Over a two-year period, seven agricultural ponds were evaluated bimonthly. A total of 347 samples were tested for EHEC and <em>Salmonella</em> presence using PCR screening. Generic <em>E. coli</em> was quantified and ranged from 1.00 to 4.00 log<sub>10</sub> MPN/100 mL. <em>Salmonella</em> was detected in 6% of samples (21/347), and Kentucky was the most frequently isolated serotype. Public health concern serotypes, such as Newport and Hartford, were also isolated. EHEC biomarkers were detected in 83% (289/347) samples, with gene prevalence as follows: <em>hly</em> 68%, <em>fliC</em> 40%, <em>eaeA</em> 19%, <em>rfbE</em> 12%, <em>stx2</em> 10%, and <em>stx1</em> 4%. Microbial water quality and environmental factors were evaluated using conditional forest and regression analyses. Generic <em>E. coli</em> was negatively associated with the amount of developed land within 365 m of the sampling site and dissolved oxygen and positively associated with total rainfall during the 7 days preceding sampling and turbidity. <em>Salmonella</em> detection was positively associated with the amount of pasture within 30 m of the sampling site and total rainfall during the 7 days preceding sampling and negatively associated with rainfall 24 h prior to sampling. EHEC detection was positively associated with percentages of forest and wetland within a 304 m buffer from the sampling site, rainfall 48 h prior to sampling, and solar radiation, while negatively associated with percentages of developed land within a 91 m buffer from the sampling sites. This study provides baseline, longitudinal data on microbial hazards in Alabama agricultural ponds and informs growers on qualitative risk assessment of agricultural waterways.</div></div>\",\"PeriodicalId\":15903,\"journal\":{\"name\":\"Journal of food protection\",\"volume\":\"88 7\",\"pages\":\"Article 100552\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of food protection\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0362028X25001048\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of food protection","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0362028X25001048","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Longitudinal Study of Environmental Factors Influencing Microbial Contamination in Alabama Ponds: Implications for Qualitative Risk Assessment
Agricultural water can be a source of microbial contamination for preharvest produce that has been linked to outbreaks and recalls. Over a two-year period, seven agricultural ponds were evaluated bimonthly. A total of 347 samples were tested for EHEC and Salmonella presence using PCR screening. Generic E. coli was quantified and ranged from 1.00 to 4.00 log10 MPN/100 mL. Salmonella was detected in 6% of samples (21/347), and Kentucky was the most frequently isolated serotype. Public health concern serotypes, such as Newport and Hartford, were also isolated. EHEC biomarkers were detected in 83% (289/347) samples, with gene prevalence as follows: hly 68%, fliC 40%, eaeA 19%, rfbE 12%, stx2 10%, and stx1 4%. Microbial water quality and environmental factors were evaluated using conditional forest and regression analyses. Generic E. coli was negatively associated with the amount of developed land within 365 m of the sampling site and dissolved oxygen and positively associated with total rainfall during the 7 days preceding sampling and turbidity. Salmonella detection was positively associated with the amount of pasture within 30 m of the sampling site and total rainfall during the 7 days preceding sampling and negatively associated with rainfall 24 h prior to sampling. EHEC detection was positively associated with percentages of forest and wetland within a 304 m buffer from the sampling site, rainfall 48 h prior to sampling, and solar radiation, while negatively associated with percentages of developed land within a 91 m buffer from the sampling sites. This study provides baseline, longitudinal data on microbial hazards in Alabama agricultural ponds and informs growers on qualitative risk assessment of agricultural waterways.
期刊介绍:
The Journal of Food Protection® (JFP) is an international, monthly scientific journal in the English language published by the International Association for Food Protection (IAFP). JFP publishes research and review articles on all aspects of food protection and safety. Major emphases of JFP are placed on studies dealing with:
Tracking, detecting (including traditional, molecular, and real-time), inactivating, and controlling food-related hazards, including microorganisms (including antibiotic resistance), microbial (mycotoxins, seafood toxins) and non-microbial toxins (heavy metals, pesticides, veterinary drug residues, migrants from food packaging, and processing contaminants), allergens and pests (insects, rodents) in human food, pet food and animal feed throughout the food chain;
Microbiological food quality and traditional/novel methods to assay microbiological food quality;
Prevention of food-related hazards and food spoilage through food preservatives and thermal/non-thermal processes, including process validation;
Food fermentations and food-related probiotics;
Safe food handling practices during pre-harvest, harvest, post-harvest, distribution and consumption, including food safety education for retailers, foodservice, and consumers;
Risk assessments for food-related hazards;
Economic impact of food-related hazards, foodborne illness, food loss, food spoilage, and adulterated foods;
Food fraud, food authentication, food defense, and foodborne disease outbreak investigations.