4.4 Article

Associations between Weather and Microbial Load on Fresh Produce Prior to Harvest

期刊

JOURNAL OF FOOD PROTECTION
卷 78, 期 4, 页码 849-854

出版社

INT ASSOC FOOD PROTECTION
DOI: 10.4315/0362-028X.JFP-14-381

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资金

  1. U.S. Department of Agriculture, Cooperative State Research, Education, and Extension Service, National Research Initiative, Epidemiological Approaches to Food Safety Program [2002-35212-12386]
  2. U.S. Department of Agriculture, National Institute of Food and Agriculture, Agriculture and Food Research Initiative Competitive Grants Program [2010-85212-20608]
  3. National Institute of Allergy and Infectious Diseases [K01AI091864]
  4. National Institutes of Health/National Science Foundation Ecology of Infectious Disease Program [0622743]

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Contaminated produce causes approximately 1 million cases of foodborne illness and 1 billion dollars in damages to the U.S. economy annually. The environmental conditions, especially weather, that influence the inoculation, proliferation, and dispersal of microbial load on produce are not well understood. Using a mixed models approach, we examined the relationship of temperature and precipitation to microbial indicators of contamination on fresh produce on the farm over a week-long period prior to harvest. Between 2000 and 2002, we assayed for four microbial indicators of contamination (aerobic plate count, Enterococcus, total coliforms, and Escherichia coli) on 10 produce types in 15 fields in the southern United States. The sample collection times varied, with most occurring between January and May. We collected hourly weather data for the corresponding time period and location. Our results indicated that there was a significant association between the average daily temperature (20 degrees C) and both log aerobic plate count (e.g., an increase of 0.074 log CFU/g [standard error {SE}, 0.023] per degrees C increase in weekly average temperature) and log Enterococcus (e.g., an increase of 0.15 log CFU/g [SE, 0.031] per degrees C increase in weekly average temperature) for approximately 5 days prior to sample collection. Daily total precipitation was significantly associated with log coliforms on 2 days (similar to 0.11 log CFU/g [SE, 0.06] per mm of precipitation) during the week-long lag period prior to harvest. Our results suggest that microbial indicator concentrations may increase as the temperature increases. Precipitation may have a positive but complex relationship with microbial indicators, as precipitation may create moist conditions conducive to bacterial growth, spread contamination onto the field, or wash contamination off of the plant.

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