Allende Ana, Castro-Ibáñez Irene, Lindqvist Roland, Gil María Isabel, Uyttendaele Mieke, Jacxsens Liesbeth
Quality, Safety and Bioactivity of Plant Foods, Food Science and Technology, CEBAS-CSIC, PO Box 164, Espinardo, Murcia E-30100, Spain.
Quality, Safety and Bioactivity of Plant Foods, Food Science and Technology, CEBAS-CSIC, PO Box 164, Espinardo, Murcia E-30100, Spain.
Int J Food Microbiol. 2017 Sep 18;257:238-246. doi: 10.1016/j.ijfoodmicro.2017.06.027. Epub 2017 Jun 27.
A quantitative microbial contamination model of Escherichia coli during primary production of baby spinach was developed. The model included only systematic contamination routes (e.g. soil and irrigation water) and it was used to evaluate the potential impact of weather conditions, agricultural practices as well as bacterial fitness in soil on the E. coli levels present in the crop at harvest. The model can be used to estimate E. coli contamination of baby spinach via irrigation water, via soil splashing due to irrigation water or rain events, and also including the inactivation of E. coli on plants due to solar radiation during a variable time of culturing before harvest. Seasonality, solar radiation and rainfall were predicted to have an important impact on the E. coli contamination. Winter conditions increased E. coli prevalence and levels when compared to spring conditions. As regards agricultural practices, both water quality and irrigation system slightly influenced E. coli levels on baby spinach. The good microbiological quality of the irrigation water (average E. coli counts in positive water samples below 1 log/100mL) could have influenced the differences observed among the tested agricultural practices (water treatment and irrigation system). This quantitative microbial contamination model represents a preliminary framework that assesses the potential impact of different factors and intervention strategies affecting E. coli concentrations at field level. Taking into account that E. coli strains may serve as a surrogate organism for enteric bacterial pathogens, obtained results on E. coli levels on baby spinach may be indicative of the potential behaviour of these pathogens under defined conditions.
建立了婴儿菠菜初级生产过程中大肠杆菌的定量微生物污染模型。该模型仅包括系统性污染途径(如土壤和灌溉水),并用于评估天气条件、农业实践以及土壤中细菌适应性对收获时作物中大肠杆菌水平的潜在影响。该模型可用于估计通过灌溉水、灌溉水或降雨事件引起的土壤飞溅导致的婴儿菠菜大肠杆菌污染,还包括收获前不同培养时间内由于太阳辐射导致植物上大肠杆菌的失活。预计季节性、太阳辐射和降雨对大肠杆菌污染有重要影响。与春季条件相比,冬季条件会增加大肠杆菌的流行率和水平。关于农业实践,水质和灌溉系统对婴儿菠菜上的大肠杆菌水平有轻微影响。灌溉水良好的微生物质量(阳性水样中大肠杆菌平均计数低于1 log/100mL)可能影响了所测试的农业实践(水处理和灌溉系统)之间观察到的差异。这种定量微生物污染模型代表了一个初步框架,用于评估不同因素和干预策略对田间大肠杆菌浓度的潜在影响。考虑到大肠杆菌菌株可作为肠道细菌病原体的替代生物体,在婴儿菠菜上获得的大肠杆菌水平结果可能表明这些病原体在特定条件下的潜在行为。