Western Center for Food Safety, University of California, Davis, 1477 Drew Avenue, Ste. 101, Davis, CA 95618, USA.
Int J Food Microbiol. 2013 Jul 1;165(1):65-76. doi: 10.1016/j.ijfoodmicro.2013.04.003. Epub 2013 Apr 11.
Irrigation with water of poor microbiological quality can elevate levels of bacteria on produce. This study aimed to identify climate and management variables associated with generic Escherichia coli in irrigation water on leafy green produce farms and to measure the prevalence of E. coli O157 and Salmonella spp. in irrigation and non-irrigation water sources on these farms. Water and sediment samples collected from various points along irrigation systems, as well as from streams and ponds on farms on the Central California coast between May 27th, 2008 and October 26th, 2010 were cultured for generic E. coli (MPN/100 mL or cfu 100 g) (n=436), E. coli O157 (n=437), and (n=163) Salmonella. Variables were based on grower's management practices, landscape features in proximity to samples (e.g., distance to roads and ranches/livestock), and climate data accessed from an online database. Negative binomial regression models were constructed to test associations between generic E. coli (MPN/100 mL) in water from farms and variables. Arithmetic mean concentration of E. coli for water, not including those from Moore swabs, and sediment samples, was 7.1×10(2) MPN/100 mL and 1.0×10(4) cfu/100 g, respectively. Matched by collection day, E. coli concentration in sediment (cfu/100 g) was typically 10- to 1000-fold higher than the overlying water (MPN/100 mL) for these irrigation systems. Generic E. coli concentration (MPN/100 mL) increased by 60.1% for each 1m/s increase in wind speed and decreased by 3% for each 10 m increase in the distance between the sample location and rangeland. Moore swabs detected a higher proportion of E. coli O157 (13.8%) positive water samples compared to grab samples (1.8%); 1.7% of sediment samples had detectable levels of this pathogen. Interestingly, season was not significantly associated with E. coli O157 presence in water or sediments from produce farms or water sources with public access. Salmonella was detected in 6% (6/96) water and 4.3% (3/67) sediment samples. Generic E. coli concentration was not significantly associated with the presence of either E. coli O157 or Salmonella in water or sediment samples, suggesting that, for this 2.5-year period and geographical location, generic E. coli would likely be an unreliable indicator bacteria for predicting the presence of these food- and waterborne pathogens in a key produce production environment.
用微生物质量差的水灌溉可能会增加农产品上的细菌数量。本研究旨在确定与叶菜类农产品种植场灌溉水中普通大肠杆菌相关的气候和管理变量,并测量这些农场灌溉和非灌溉水源中大肠杆菌 O157 和沙门氏菌的流行情况。2008 年 5 月 27 日至 2010 年 10 月 26 日期间,从加利福尼亚州中部海岸的农场的灌溉系统的各个点以及溪流和池塘采集水和沉积物样本,用于培养普通大肠杆菌(MPN/100 毫升或 cfu 100 克)(n=436)、大肠杆菌 O157(n=437)和(n=163)沙门氏菌。变量基于种植者的管理实践、靠近样本的景观特征(例如,与道路和牧场/牲畜的距离)以及从在线数据库访问的气候数据。构建负二项式回归模型以测试农场水中普通大肠杆菌(MPN/100 毫升)与变量之间的关联。不包括 Moore 拭子的水和沉积物样本中大肠杆菌的算术平均浓度分别为 7.1×10(2) MPN/100 毫升和 1.0×10(4) cfu/100 克。以采集日为匹配条件,这些灌溉系统中沉积物(cfu/100 克)中大肠杆菌的浓度通常比上覆水(MPN/100 毫升)高 10 到 1000 倍。风速每增加 1 米/秒,普通大肠杆菌浓度(MPN/100 毫升)增加 60.1%,而样本位置与牧场之间的距离每增加 10 米,普通大肠杆菌浓度则降低 3%。与 grab 样本相比,Moore 拭子检测到的大肠杆菌 O157(13.8%)阳性水样比例更高;1.7%的沉积物样本中可检测到这种病原体。有趣的是,季节与农产品种植场或有公共用水权的水源中大肠杆菌 O157 在水中或沉积物中的存在均无显著关联。沙门氏菌在 6%(6/96)的水样和 4.3%(3/67)的沉积物样本中被检测到。水和沉积物样本中,普通大肠杆菌浓度与大肠杆菌 O157 或沙门氏菌的存在均无显著关联,表明在这 2.5 年的时间和地理位置,普通大肠杆菌可能不是预测关键农产品生产环境中这些食源性病原体存在的可靠指示菌。