Microbial Quality of Agricultural Water Used in Produce Preharvest Production on the Eastern Shore of Virginia

Author:

TRUITT LAURA N.1,VAZQUEZ KATHLEEN M.2,PFUNTNER RACHEL C.1,RIDEOUT STEVEN L.3,HAVELAAR ARIE H.4,STRAWN LAURA K.1

Affiliation:

1. Department of Food Science and Technology and

2. Department of Agricultural and Biological Engineering and

3. Department of Plant Pathology, Physiology, and Weed Science, Eastern Shore Agricultural Research and Extension Center, Virginia Tech, Painter, Virginia 23420;

4. Emerging Pathogens Institute, University of Florida, Gainesville, Florida 32611, USA (ORCID: http://orcid.org/0000-0002-6456-5460 [A.H.H.])

Abstract

ABSTRACT Several produce-borne outbreaks have been associated with the use of contaminated water during preharvest applications. Salmonella has been implicated in a number of these outbreaks. The purpose of this study was to evaluate the microbial quality of agricultural surface water used in preharvest production on the Eastern Shore of Virginia in accordance with the Food Safety Modernization Act's Produce Safety Rule water standards. The study also examined the prevalence, concentration, and diversity of Salmonella in those water sources. Water samples (1 L) from 20 agricultural ponds were collected during the 2015 and 2016 growing seasons (n = 400). Total aerobic bacteria, total coliforms, and Escherichia coli were enumerated for each sample. Population levels of each microorganism were calculated per 100-mL sample and log transformed, when necessary. Samples (250 mL) were also enriched for Salmonella. Presumptive Salmonella isolates were confirmed by PCR (invA gene) and were serotyped. In 2016, the concentration of Salmonella in each sample was also estimated by most probable number (MPN). Indicator bacteria and environmental and meteorological factors were analyzed for their association with the detection of a Salmonella-positive water sample by using logistic regression analysis. Seventeen of the 20 ponds met the Food Safety Modernization Act's Produce Safety Rule standards for production agricultural water. Three ponds did not meet the standards because the statistical threshold value exceeded the limit. Salmonella was detected in 19% of water samples in each year (38 of 200 in 2015 and 38 of 200 in 2016). Of the 118 Salmonella isolates serotyped, 14 serotypes were identified with the most prevalent being Salmonella Newport. E. coli concentration, farm, and total aerobic bacteria concentration were significantly associated with the likelihood of detecting a Salmonella-positive sample The average concentration of Salmonella in all samples was 4.44 MPN/100 mL, with the limit of detection being 3.00 MPN/100 mL. The highest concentration of Salmonella was 93.0 MPN/100 mL. These data will assist in a better understanding of the risks that production water poses to produce contamination events.

Publisher

International Association for Food Protection

Subject

Microbiology,Food Science

Reference54 articles.

1. Generic E. coli levels in surface and non-traditional irrigation water in the Mid-Atlantic in relation to FSMA water quality standards: a CONSERVE study;Allard;Abstr. IAFP Annu. Meet.,2017

2. Outbreak of Salmonella Newport infections linked to cucumbers—United States, 2014;Angelo;Morb. Mortal. Wkly. Rep,2015

3. Low concentration of Salmonella enterica and generic Escherichia coli in farm ponds and irrigation distribution systems used for mixed produce production in southern Georgia;Antaki;Foodborne Pathog. Dis,2016

4. Ecological prevalence, genetic diversity, and epidemiological aspects of Salmonella isolated from the tomato agricultural regions of the Virginia Eastern Shore;Bell;Front. Microbiol,2015

5. Pathogenic microorganisms associated with fresh produce;Beuchat;J. Food Prot,1995

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