Predicting Salmonella Populations from Biological, Chemical, and Physical Indicators in Florida Surface Waters
Predicting Salmonella Populations from Biological, Chemical, and Physical Indicators in Florida Surface Waters
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根据佛罗里达地表水中的生物、化学和物理指标预测沙门氏菌种群
DOI：
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发表时间：
2013
影响因子：
4.4
通讯作者：
M. Danyluk
中科院分区：
文献类型：
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作者：
R. McEgan;Gabriel Mootian;L. Goodridge;D. Schaffner;M. Danyluk
摘要大肠菌群、大肠杆菌和各种理化水质特性已被建议作为微生物水质的指标或病原体种群的指标生物。沙门氏菌的存在和/或浓度和生物，物理或化学指标之间的关系，在中央佛罗里达地表水样品连续12个月进行了探讨。每月从整个佛罗里达中部的18个地点采集样本，共12个月（n = 202）。空气和水的温度，pH值，氧化还原电位（ORP），浊度和电导率进行了测量。气象数据来自附近的气象站。沙门氏菌、大肠杆菌的需氧平板计数和最大可能数（MPN）。大肠杆菌和大肠菌群。生物指示剂之间存在弱线性关系（E。大肠杆菌/大肠菌群）与沙门氏菌（R2 <0.1）之间以及理化指标与沙门氏菌（R2 <0.1）之间的差异。采样前的平均降雨量（前一天，前一周和前一个月）与细菌水平没有很好的相关性。Logistic回归分析表明，E.大肠杆菌浓度可以预测所选沙门氏菌计数水平的概率。生物指标与沙门氏菌水平之间以及理化指标与沙门氏菌水平之间缺乏良好的相关性，表明病原体与指标之间的关系是复杂的。然而，大肠杆菌提供了一个合理的方法来预测沙门氏菌水平在中央佛罗里达地表水通过逻辑回归。
ABSTRACT Coliforms, Escherichia coli, and various physicochemical water characteristics have been suggested as indicators of microbial water quality or index organisms for pathogen populations. The relationship between the presence and/or concentration of Salmonella and biological, physical, or chemical indicators in Central Florida surface water samples over 12 consecutive months was explored. Samples were taken monthly for 12 months from 18 locations throughout Central Florida (n = 202). Air and water temperature, pH, oxidation-reduction potential (ORP), turbidity, and conductivity were measured. Weather data were obtained from nearby weather stations. Aerobic plate counts and most probable numbers (MPN) for Salmonella, E. coli, and coliforms were performed. Weak linear relationships existed between biological indicators (E. coli/coliforms) and Salmonella levels (R 2 < 0.1) and between physicochemical indicators and Salmonella levels (R 2 < 0.1). The average rainfall (previous day, week, and month) before sampling did not correlate well with bacterial levels. Logistic regression analysis showed that E. coli concentration can predict the probability of enumerating selected Salmonella levels. The lack of good correlations between biological indicators and Salmonella levels and between physicochemical indicators and Salmonella levels shows that the relationship between pathogens and indicators is complex. However, Escherichia coli provides a reasonable way to predict Salmonella levels in Central Florida surface water through logistic regression.