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阿拉巴马州池塘微生物污染影响因素的纵向研究:对定性风险评估的启示

Longitudinal Study of Environmental Factors Influencing Microbial Contamination in Alabama Ponds: Implications for Qualitative Risk Assessment.

作者信息

Chevez Zoila, Tobar Elisa, Weller Daniel, Rodrigues Camila

机构信息

Department of Horticulture, Auburn University, Auburn, Alabama, USA.

Department of Food Science and Technology, Virginia Tech, Blacksburg, Virginia, USA; Department Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.

出版信息

J Food Prot. 2025 Jun 23;88(7):100552. doi: 10.1016/j.jfp.2025.100552. Epub 2025 Jun 2.

Abstract

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 log 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.

摘要

农业用水可能是收获前农产品微生物污染的一个来源,这已与疫情爆发和召回事件相关联。在两年时间里,每两个月对七个农业池塘进行一次评估。使用聚合酶链式反应(PCR)筛查对总共347个样本检测是否存在肠出血性大肠杆菌(EHEC)和沙门氏菌。对总大肠菌群进行了定量分析,其范围为1.00至4.00对数MPN/100毫升。在6%的样本(21/347)中检测到沙门氏菌,肯塔基是最常分离出的血清型。还分离出了公共卫生关注的血清型,如新波特和哈特福德。在83%(289/347)的样本中检测到EHEC生物标志物,基因流行率如下:溶血素(hly)68%、鞭毛蛋白(fliC)40%、紧密黏附素(eaeA)19%、O抗原基因(rfbE)12%、志贺毒素2(stx2)10%和志贺毒素1(stx1)4%。使用条件森林和回归分析评估微生物水质和环境因素。总大肠菌群与采样点365米范围内已开发土地的面积以及溶解氧呈负相关,与采样前7天的总降雨量和浊度呈正相关。沙门氏菌的检测与采样点30米范围内牧场的面积以及采样前7天的总降雨量呈正相关,与采样前24小时的降雨量呈负相关。EHEC的检测与采样点304米缓冲区内森林和湿地的百分比、采样前48小时的降雨量以及太阳辐射呈正相关,而与采样点91米缓冲区内已开发土地的百分比呈负相关。本研究提供了阿拉巴马州农业池塘微生物危害的基线纵向数据,并为种植者提供了有关农业水道定性风险评估的信息。

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