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Racine J, Nerney A, Kilgore S, Darner J, Spets M, Critzer F, Harris LJ, Reitz S, Waters T, Waite-Cusic J. Irrigation Method Matters: Contamination and Die-off Rates of Escherichia coli on Dry Bulb Onions After Overhead and Drip Irrigation in Washington State (2022-2023). J Food Prot 2024; 87:100326. [PMID: 38977079 DOI: 10.1016/j.jfp.2024.100326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 06/30/2024] [Accepted: 07/03/2024] [Indexed: 07/10/2024]
Abstract
Two U.S. outbreaks of salmonellosis in 2020 and 2021 were epidemiologically linked to red onions. The 2020 outbreak investigation implicated the production of agricultural water as a likely contamination source. Field trials were designed to investigate the prevalence and survival of Escherichia coli (surrogate for Salmonella) on dry bulb onions after the application of contaminated irrigation water at the end of the growing period. Irrigation water was inoculated at 3 log most probable number (MPN)/100 mL (2022 and 2023) or 5 log MPN/100 mL (2023, drip only) with a cocktail of rifampin-resistant E. coli and applied with the final irrigation (0.4 acre-inch/0.4 ha-cm) to onions. Onion bulbs (40 or 80) were sampled immediately after irrigation and throughout field curing (4 weeks) and E. coli was enumerated using an MPN method. For drip irrigation, at 3 log MPN/100 mL E. coli was detected on 13% of onions at 24 h but not detected at 0 h; at 5 log MPN/100 mL for drip irrigation applied to saturated soil, E. coli was detected in 63% of onions at 0 h. Prevalence significantly (P < 0.05), decreased after 7 d of curing with cell densities of 1-1,400 MPN/onion. At the end of field curing in 2023, 1/80 of onions had detectable E. coli (2.04 MPN/onion). E. coli was detected in a significantly smaller percentage of onions (2022: 13%; 2023: 68%) after a contaminated drip irrigation event compared to overhead irrigation (98-100%; P < 0.05). After overhead irrigation, E. coli was detected in onions (1-1,000 MPN/onion) on day 0. Prevalence decreased significantly (P < 0.05) after 7 d of field curing in both years (2022: 15%; 2023: 7%). E. coli was not detected on Calibra onions (80/year) at the end of field curing in either year but was detected at <12 MPN/onion in 2.5-3.75% of onions (n = 80) for other cultivars. These data confirm limited contamination risk associated with drip irrigation water quality and begin to quantify contamination risks associated with overhead irrigation of dry bulb onions.
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Affiliation(s)
- Jason Racine
- Department of Food Science and Technology, Oregon State University, Corvallis, OR 97331, USA
| | - Alexandra Nerney
- Department of Food Science and Technology, Oregon State University, Corvallis, OR 97331, USA
| | - Samantha Kilgore
- Department of Food Science and Technology, Oregon State University, Corvallis, OR 97331, USA
| | - Jennifer Darner
- Franklin County Extension, College of Agricultural, Human, and Natural Resource Sciences, Washington State University, Pasco, WA 99301, USA
| | - Madeline Spets
- Franklin County Extension, College of Agricultural, Human, and Natural Resource Sciences, Washington State University, Pasco, WA 99301, USA
| | - Faith Critzer
- Department of Food Science and Technology, University of Georgia, Athens, GA 30609, USA
| | - Linda J Harris
- Department of Food Science and Technology, University of California, Davis, Davis, CA 95618, USA
| | - Stuart Reitz
- Malheur County Experiment Station, College of Agricultural Sciences, Oregon State University, Ontario, OR 97914, USA
| | - Tim Waters
- Franklin County Extension, College of Agricultural, Human, and Natural Resource Sciences, Washington State University, Pasco, WA 99301, USA
| | - Joy Waite-Cusic
- Department of Food Science and Technology, Oregon State University, Corvallis, OR 97331, USA.
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2
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Dogan OB, Flach MG, Miller MF, Brashears MM. Understanding potential cattle contribution to leafy green outbreaks: A scoping review of the literature and public health reports. Compr Rev Food Sci Food Saf 2023; 22:3506-3530. [PMID: 37421315 DOI: 10.1111/1541-4337.13200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 05/12/2023] [Accepted: 06/04/2023] [Indexed: 07/10/2023]
Abstract
Recently, multiple reports from regulatory agencies have linked leafy green outbreaks to nearby or adjacent cattle operations. While they have made logical explanations for this phenomenon, the reports and data should be summarized to determine if the association was based on empirical data, epidemiological association, or speculation. Therefore, this scoping review aims to gather data on the mechanisms of transmission for pathogens from livestock to produce, identify if direct evidence linking the two entities exists, and identify any knowledge gaps in the scientific literature and public health reports. Eight databases were searched systematically and 27 eligible primary research products, which focus on produce safety concerning proximity to livestock, provided empirical or epidemiological association and described mechanisms of transmission, qualitatively or quantitatively were retained. Fifteen public health reports were also covered. Results from the scientific articles provided evidence that proximity to livestock might be a risk factor; however, most lack quantitative data on the relative contribution of different pathways for contamination. Public health reports mainly indicate livestock presence as a possible source and encourage further research. Although the collected information regarding the proximity of cattle is a concern, data gaps indicate that more studies should be conducted to determine the relative contribution of different mechanisms of contamination and generate quantitative data to inform food safety risk analyses, regarding leafy greens produced nearby livestock areas.
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Affiliation(s)
- Onay B Dogan
- International Center for Food Industry Excellence, Department of Animal and Food Sciences, Texas Tech University, Lubbock, Texas, USA
| | - Makenzie G Flach
- International Center for Food Industry Excellence, Department of Animal and Food Sciences, Texas Tech University, Lubbock, Texas, USA
| | - Markus F Miller
- International Center for Food Industry Excellence, Department of Animal and Food Sciences, Texas Tech University, Lubbock, Texas, USA
| | - Mindy M Brashears
- International Center for Food Industry Excellence, Department of Animal and Food Sciences, Texas Tech University, Lubbock, Texas, USA
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3
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Partyka ML, Bond RF. Wastewater reuse for irrigation of produce: A review of research, regulations, and risks. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 828:154385. [PMID: 35271919 DOI: 10.1016/j.scitotenv.2022.154385] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 02/26/2022] [Accepted: 03/04/2022] [Indexed: 06/14/2023]
Abstract
The burden of disease caused by the contamination of ready-to-eat produce with common waterborne microbial pathogens suggests that irrigation supplies should be closely monitored and regulated. Simultaneously freshwater resources have become increasingly scarce worldwide while global demand continues to grow. Since the turn of the 20th century with the advent of modern wastewater treatment plants, the reuse of treated wastewater is considered a safe and viable water source for irrigation of ready-to-eat vegetables. However strict, and often costly, treatment regimens mean that only a fraction of the world's wastewater supplies are being put to reuse. The purpose of this review is to explore the available literature on the risks associated with reuse water for ready-to-eat produce production including different approaches to reducing those risks as the demand for reuse water increases. It is not the intent of the authors to determine which methods of treatment should be applied, which pathogens should be considered of greatest concern, or which regulations should be applied. Rather, it is meant to be a discussion of the evolving guidelines governing irrigation with reuse water, potential risks from known pathogens common to produce production and recommendations for improving the adoption of water reuse moving forward. To date, there is little evidence to suggest that adequately treated reuse water poses more risk for produce-related illness or outbreaks than other sources of irrigation water. However, multiple epidemiological and quantitative risk assessment models suggest that guidelines for the use of reuse water should be regionally specific and based on local growing practices, available technologies for wastewater treatment, and overall population health. Though research suggests water reuse is generally safe, the assumptions of risk are both personal and of public interest, they should be considered carefully before water reuse is either allowed or disallowed in produce production environments.
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Affiliation(s)
- Melissa L Partyka
- Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL 36849, United States of America.
| | - Ronald F Bond
- Western Center for Food Safety, Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, United States of America
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4
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Stocker MD, Pachepsky YA, Hill RL. Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms. Front Artif Intell 2022; 4:768650. [PMID: 35088045 PMCID: PMC8787305 DOI: 10.3389/frai.2021.768650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 12/13/2021] [Indexed: 11/13/2022] Open
Abstract
The microbial quality of irrigation water is an important issue as the use of contaminated waters has been linked to several foodborne outbreaks. To expedite microbial water quality determinations, many researchers estimate concentrations of the microbial contamination indicator Escherichia coli (E. coli) from the concentrations of physiochemical water quality parameters. However, these relationships are often non-linear and exhibit changes above or below certain threshold values. Machine learning (ML) algorithms have been shown to make accurate predictions in datasets with complex relationships. The purpose of this work was to evaluate several ML models for the prediction of E. coli in agricultural pond waters. Two ponds in Maryland were monitored from 2016 to 2018 during the irrigation season. E. coli concentrations along with 12 other water quality parameters were measured in water samples. The resulting datasets were used to predict E. coli using stochastic gradient boosting (SGB) machines, random forest (RF), support vector machines (SVM), and k-nearest neighbor (kNN) algorithms. The RF model provided the lowest RMSE value for predicted E. coli concentrations in both ponds in individual years and over consecutive years in almost all cases. For individual years, the RMSE of the predicted E. coli concentrations (log10 CFU 100 ml-1) ranged from 0.244 to 0.346 and 0.304 to 0.418 for Pond 1 and 2, respectively. For the 3-year datasets, these values were 0.334 and 0.381 for Pond 1 and 2, respectively. In most cases there was no significant difference (P > 0.05) between the RMSE of RF and other ML models when these RMSE were treated as statistics derived from 10-fold cross-validation performed with five repeats. Important E. coli predictors were turbidity, dissolved organic matter content, specific conductance, chlorophyll concentration, and temperature. Model predictive performance did not significantly differ when 5 predictors were used vs. 8 or 12, indicating that more tedious and costly measurements provide no substantial improvement in the predictive accuracy of the evaluated algorithms.
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Affiliation(s)
- Matthew D. Stocker
- Environmental Microbial and Food Safety Laboratory, United States Department of Agriculture–Agricultural Research Service, Beltsville, MD, United States
- Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States
- Department of Environmental Science and Technology, University of Maryland, College Park, MD, United States
| | - Yakov A. Pachepsky
- Environmental Microbial and Food Safety Laboratory, United States Department of Agriculture–Agricultural Research Service, Beltsville, MD, United States
| | - Robert L. Hill
- Department of Environmental Science and Technology, University of Maryland, College Park, MD, United States
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5
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Solaiman S, Micallef SA. Aeromonas spp. diversity in U.S. mid-Atlantic surface and reclaimed water, seasonal dynamics, virulence gene patterns and attachment to lettuce. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 779:146472. [PMID: 34030273 DOI: 10.1016/j.scitotenv.2021.146472] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 02/14/2021] [Accepted: 03/10/2021] [Indexed: 06/12/2023]
Abstract
Aeromonas, a ubiquitous taxon in water environments, is emerging as a foodborne pathogen of concern that remains understudied and under-reported. We evaluated the distribution of 331 Aeromonas spp. isolates collected from irrigation water over one year and characterised their virulence profile, attachment and ability to persist on lettuce. Water sources included non-tidal and tidal river, farm pond and reclaimed water. Twenty Aeromonas species were identified; A. veronii, A. hydrophila and A. jandaei predominated in all water types and seasons, comprising ~63% of isolates. Species distribution was most affected by water type. The highest and lowest diversity were detected in river and pond water, respectively. A. hydrophila and A. veronii ranked highest in frequency in fresh river and reclaimed water, while A. jandaei ranked first in pond water. Only two isolates carried all five virulence genes tested, while 46% of A. hydrophila (n = 50), 54% of A. veronii (n = 61) and 50% of A. jandaei (n = 32) isolates harboured multiple enterotoxin genes. Detection of alt and ast genes was more likely in summer collections, while ast detection was less likely in tidal brackish river and pond water isolates. Season was a factor in attachment to polystyrene, being strongest in spring isolates. The gene flaA was associated with strong attachment and was more likely to be detected in non-tidal fresh river isolates. A. hydrophila and A. jandaei isolates persisted on lettuce leaves for 24 h, but populations dwindled over 120 h, while loosely and strongly attached cells of A. veronii isolates persisted for 120 h. This study provides comprehensive data on Aeromonas species distribution and environmental traits. The associations revealed among diversity, water type, season, virulence factors and phyllosphere attachment capacity can inform agricultural water standards in novel ways. Moreover, understanding Aeromonas-plant interactions is an important step in advancing food safety of fruit and vegetables.
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Affiliation(s)
- Sultana Solaiman
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD 20742, USA.
| | - Shirley A Micallef
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD 20742, USA; Centre for Food Safety and Security Systems, University of Maryland, College Park, MD 20742, USA.
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6
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Sassi HP, van Ogtrop F, Morrison CM, Zhou K, Duan JG, Gerba CP. Sediment re-suspension as a potential mechanism for viral and bacterial contaminants. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART A, TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING 2020; 55:1398-1405. [PMID: 32705931 DOI: 10.1080/10934529.2020.1796118] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 07/06/2020] [Accepted: 07/08/2020] [Indexed: 06/11/2023]
Abstract
Pathogenic enteric viruses and bacteria tend to occur in higher concentrations and survive longer in aquatic sediments than suspended in the water column. Re-suspension of these organisms can result in a significant degradation of overlying water quality. Additionally, the re-suspension of microbial pathogens in artificial irrigation canals could endanger the consumption of fresh and ready-to-eat produce. Irrigation water has been implicated in numerous fresh produce outbreaks over the last 30 years. This study aimed to quantify the proportions of bacterial and viral re-suspension from sediment in a recirculating flume with varying velocities. MS2 coliphage and Escherichia coli were found to re-suspend at rates that were not significantly different, despite organism size differences. However, E. coli re-suspension rates from sand and clay were significantly different. This suggests that likely sediment-associated particles were recovered with the organisms attached. Similar re-suspension rates are hypothesized to be due to the dynamics of sediment transport, rather than that of the organisms themselves. This study also indicated that the re-suspension of sediment at very low velocities (e.g., less than 10 cm/s), could impact the microbiological quality of the overlaying water. Results from this study conclude that sediment could be a viable mechanism for irrigation water contamination.
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Affiliation(s)
- Hannah P Sassi
- Faculty of Science, School of Life and Environmental Science, The University of Sydney, Sydney, New South Wales, Australia
- Water and Energy Sustainable Technology Center, Department of Soil, Water and Environmental Science, University of Arizona, Tucson, Arizona, USA
| | - Floris van Ogtrop
- Faculty of Science, School of Life and Environmental Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Christina M Morrison
- Water and Energy Sustainable Technology Center, Department of Soil, Water and Environmental Science, University of Arizona, Tucson, Arizona, USA
| | - Kang Zhou
- Department of Civil Engineering and Engineering Mathematics, University of Arizona, Tucson, Arizona, USA
| | - Jennifer G Duan
- Department of Civil Engineering and Engineering Mathematics, University of Arizona, Tucson, Arizona, USA
| | - Charles P Gerba
- Water and Energy Sustainable Technology Center, Department of Soil, Water and Environmental Science, University of Arizona, Tucson, Arizona, USA
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7
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Zhang Y, Liao YT, Salvador A, Sun X, Wu VCH. Investigating the Whole-Genome Sequence of a New Locus of Enterocyte Effacement-Positive Shiga Toxin-Producing Escherichia coli O157:H7 Strain Isolated from River Water. Microbiol Resour Announc 2020; 9:e00112-20. [PMID: 32193236 PMCID: PMC7082455 DOI: 10.1128/mra.00112-20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 03/02/2020] [Indexed: 11/21/2022] Open
Abstract
Diverse Shiga toxin-producing Escherichia coli (STEC) strains have been isolated from several environmental samples. Rivers are associated with the distribution of STEC pathogens in the environment. Thus, we report the complete genome sequence of a locus of enterocyte effacement (LEE)-positive STEC O157:H7 strain isolated from the Mississippi River.
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Affiliation(s)
- Yujie Zhang
- College of Food Science & Technology, Shanghai Ocean University, Shanghai, China
- Produce Safety and Microbiology Research Unit, U.S. Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Albany, California, USA
| | - Yen-Te Liao
- Produce Safety and Microbiology Research Unit, U.S. Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Albany, California, USA
| | - Alexandra Salvador
- Produce Safety and Microbiology Research Unit, U.S. Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Albany, California, USA
| | - Xiaohong Sun
- College of Food Science & Technology, Shanghai Ocean University, Shanghai, China
| | - Vivian C H Wu
- Produce Safety and Microbiology Research Unit, U.S. Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Albany, California, USA
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8
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Weller D, Belias A, Green H, Roof S, Wiedmann M. Landscape, Water Quality, and Weather Factors Associated With an Increased Likelihood of Foodborne Pathogen Contamination of New York Streams Used to Source Water for Produce Production. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 2020; 3:124. [PMID: 32440656 PMCID: PMC7241490 DOI: 10.3389/fsufs.2019.00124] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
There is a need for science-based tools to (i) help manage microbial produce safety hazards associated with preharvest surface water use, and (ii) facilitate comanagement of agroecosystems for competing stakeholder aims. To develop these tools an improved understanding of foodborne pathogen ecology in freshwater systems is needed. The purpose of this study was to identify (i) sources of potential food safety hazards, and (ii) combinations of factors associated with an increased likelihood of pathogen contamination of agricultural water Sixty-eight streams were sampled between April and October 2018 (196 samples). At each sampling event separate 10-L grab samples (GS) were collected and tested for Listeria, Salmonella, and the stx and eaeA genes. A 1-L GS was also collected and used for Escherichia coli enumeration and detection of four host-associated fecal source-tracking markers (FST). Regression analysis was used to identify individual factors that were significantly associated with pathogen detection. We found that eaeA-stx codetection [Odds Ratio (OR) = 4.2; 95% Confidence Interval (CI) = 1.3, 13.4] and Salmonella isolation (OR = 1.8; CI = 0.9, 3.5) were strongly associated with detection of ruminant and human FST markers, respectively, while Listeria spp. (excluding Listeria monocytogenes) was negatively associated with log10 E. coli levels (OR = 0.50; CI = 0.26, 0.96). L. monocytogenes isolation was not associated with the detection of any fecal indicators. This observation supports the current understanding that, unlike enteric pathogens, Listeria is not fecally-associated and instead originates from other environmental sources. Separately, conditional inference trees were used to identify scenarios associated with an elevated or reduced risk of pathogen contamination. Interestingly, while the likelihood of isolating L. monocytogenes appears to be driven by complex interactions between environmental factors, the likelihood of Salmonella isolation and eaeA-stx codetection were driven by physicochemical water quality (e.g., dissolved oxygen) and temperature, respectively. Overall, these models identify environmental conditions associated with an enhanced risk of pathogen presence in agricultural water (e.g., rain events were associated with L. monocytogenes isolation from samples collected downstream of dairy farms; P = 0.002). The information presented here will enable growers to comanage their operations to mitigate the produce safety risks associated with preharvest surface water use.
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Affiliation(s)
- Daniel Weller
- Department of Food Science, Cornell University, Ithaca, NY, United States
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, United States
| | - Alexandra Belias
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | - Hyatt Green
- Department of Environmental and Forest Biology, SUNY College of Environmental Science and Forestry, Syracuse, NY, United States
| | - Sherry Roof
- Department of Food Science, Cornell University, Ithaca, NY, United States
| | - Martin Wiedmann
- Department of Food Science, Cornell University, Ithaca, NY, United States
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9
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Marik CM, Anderson-Coughlin B, Gartley S, Craighead S, Bradshaw R, Kulkarni P, Sharma M, Kniel KE. The efficacy of zero valent iron-sand filtration on the reduction of Escherichia coli and Listeria monocytogenes in surface water for use in irrigation. ENVIRONMENTAL RESEARCH 2019; 173:33-39. [PMID: 30884436 DOI: 10.1016/j.envres.2019.02.028] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 02/17/2019] [Accepted: 02/19/2019] [Indexed: 06/09/2023]
Abstract
The use of surface and recycled water sources for irrigation can reduce demand on critical groundwater resources. Treatment or mitigation may be necessary for the use of these alternative water sources in order to reduce risk associated with microbial pathogens present in the water. In this study, the efficacy of a zero-valent iron (ZVI) sand filter was assessed for the reduction of Listeria monocytogenes and Escherichia coli in surface water. Water recovered from an agricultural pond was inoculated with E. coli TVS353 and an environmental L. monocytogenes isolate at 7 Log10 CFU/mL and horizontally filtered over a six-month period through a PVC pipe filter, filled with 35%:65% (volume:volume) ZVI:sand or sand alone. Filtered water was used to irrigate lettuce and bacterial persistence on lettuce leaves was determined for 7 days post-irrigation. Both ZVI:sand-filtered water and sand-filtered water contained significantly (p < 0.005) lower levels of E. coli and L. monocytogenes compared to initial unfiltered inoculated water. Population reductions of E. coli and L. monocytogenes were comparable after sand filtration. However, ZVI:sand filtration resulted in significantly greater population reductions of L. monocytogenes (P < 0.05) compared to E. coli. Populations of E. coli on leaves of lettuce plants irrigated with ZVI:sand-filtered water were not significantly lower than populations on plants irrigated with sand-filtered irrigation water over the 7-day period. However, populations of L. monocytogenes on lettuce leaves irrigated with ZVI-treated water were significantly lower than counts on plants irrigated with sand-filtered irrigation water on days 3 and 4 post irrigation (p = 0.052 and p = 0.042 for days 3 and 4, respectively. The differences observed in reductions of L. monocytogenes and E. coli by ZVI filtration is due to the differing effect that ZVI disruption has on Gram-positive and Gram-negative cell walls and membranes. ZVI- sand filters show promising results as an inexpensive on-farm technology for the mitigation of enteric foodborne bacterial populations in pond water over a six-month period.
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Affiliation(s)
- Claire M Marik
- Department of Animal and Food Science, University of Delaware, Newark, DE, USA
| | | | - Samantha Gartley
- Department of Animal and Food Science, University of Delaware, Newark, DE, USA
| | - Shani Craighead
- Department of Animal and Food Science, University of Delaware, Newark, DE, USA
| | - Rhodel Bradshaw
- US Department of Agriculture - ARS, Environmental Microbial and Food Safety Laboratory, Beltsville, MD, USA
| | - Prachi Kulkarni
- US Department of Agriculture - ARS, Environmental Microbial and Food Safety Laboratory, Beltsville, MD, USA
| | - Manan Sharma
- US Department of Agriculture - ARS, Environmental Microbial and Food Safety Laboratory, Beltsville, MD, USA
| | - Kalmia E Kniel
- Department of Animal and Food Science, University of Delaware, Newark, DE, USA.
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10
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Cook KL, Givan EC, Mayton HM, Parekh RR, Taylor R, Walker SL. Using the agricultural environment to select better surrogates for foodborne pathogens associated with fresh produce. Int J Food Microbiol 2017; 262:80-88. [PMID: 28968533 DOI: 10.1016/j.ijfoodmicro.2017.09.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 08/25/2017] [Accepted: 09/24/2017] [Indexed: 01/26/2023]
Abstract
Despite continuing efforts to reduce foodborne pathogen contamination of fresh produce, significant outbreaks continue to occur. Identification of appropriate surrogates for foodborne pathogens facilitates relevant research to identify reservoirs and amplifiers of these contaminants in production and processing environments. Therefore, the objective of this study was to identify environmental Escherichia coli isolates from manures (poultry, swine and dairy) and surface water sources with properties similar to those of the produce associated foodborne pathogens E. coli O157:H7 and Salmonella enterica serotype Typhimurium. The most similar environmental E. coli isolates were from poultry (n=3) and surface water (n=1) sources. The best environmental E. coli surrogates had cell surface characteristics (zeta potential, hydrophobicity and exopolysaccharide composition) that were similar (i.e., within 15%) to those of S. Typhimurium and/or formed biofilms more often when grown in low nutrient media prepared from lettuce lysates (24%) than when grown on high nutrient broth (7%). The rate of attachment of environmental isolates to lettuce leaves was also similar to that of S. Typhimurium. In contrast, E. coli O157:H7, a commonly used E. coli quality control strain and swine isolates behaved similarly; all were in the lowest 10% of isolates for biofilm formation and leaf attachment. These data suggest that the environment may provide a valuable resource for selection of surrogates for foodborne pathogens.
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Affiliation(s)
- Kimberly L Cook
- USDA-ARS, Food Animal Environmental Systems Research Unit, Bowling Green, KY, USA.
| | - Ethan C Givan
- Western Kentucky University, Department of Public Health, Bowling Green, KY, USA.
| | - Holly M Mayton
- University of California, Bourns College of Engineering, Riverside, CA, USA.
| | - Rohan R Parekh
- USDA-ARS, Food Animal Environmental Systems Research Unit, Bowling Green, KY, USA.
| | - Ritchie Taylor
- Western Kentucky University, Department of Public Health, Bowling Green, KY, USA.
| | - Sharon L Walker
- University of California, Bourns College of Engineering, Riverside, CA, USA.
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11
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Jongman M, Korsten L. Microbial quality and suitability of roof-harvested rainwater in rural villages for crop irrigation and domestic use. JOURNAL OF WATER AND HEALTH 2016; 14:961-971. [PMID: 27959874 DOI: 10.2166/wh.2016.058] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The study aimed at assessing the microbiological quality and suitability of roof-harvested rainwater (RHRW) for crop irrigation and domestic use. In total, 80 rainwater tanks (246 samples) across three rural villages (Ga-Molepane, Jericho and Luthngele) were visited. Culture-based techniques were used to isolate bacterial microbes and identities were confirmed using matrix-assisted laser desorption/ionization time of flight (MALDI-TOF-MS). Uncultured fungal populations were also identified using pyrosequencing. Salmonella spp. (3%), Listeria monocytogenes (22%), total coliforms (57.7%), Escherichia coli (30.5%), Enterococcus spp. (48.8%), Pseudomonas spp. (21.5%) were detected in RHRW samples after rainfall. Fungal sequences belonging to species known to cause fever, coughing and shortness of breath in humans (Cryptococcus spp.) were identified. This study indicates that RHRW quality can be affected by external factors such as faecal material and debris on rooftops. The use of untreated RHRW could pose a potential health risk if used for irrigation of crops or domestic use, especially in the case of a relative high population of immunocompromised individuals. This study does not dispute the fact that RHRW is an alternative irrigation water source but it recommends treatment before use for domestic purposes or for watering crops.
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Affiliation(s)
- Mosimanegape Jongman
- Department of Plant and Soil Sciences, University of Pretoria, Lynwood Road, Pretoria 0082, South Africa E-mail:
| | - Lise Korsten
- Department of Plant and Soil Sciences, University of Pretoria, Lynwood Road, Pretoria 0082, South Africa E-mail:
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12
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Jongman M, Korsten L. Assessment of irrigation water quality and microbiological safety of leafy greens in different production systems. J Food Saf 2016. [DOI: 10.1111/jfs.12324] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Mosimanegape Jongman
- Faculty of Natural and Agricultural Sciences, Department of Plant and Soil Sciences; University of Pretoria; Private bag X20, Hatfield Pretoria 0082 South Africa
| | - Lise Korsten
- Faculty of Natural and Agricultural Sciences, Department of Plant and Soil Sciences; University of Pretoria; Private bag X20, Hatfield Pretoria 0082 South Africa
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13
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Draper AD, Doores S, Gourama H, LaBorde LF. Microbial Survey of Pennsylvania Surface Water Used for Irrigating Produce Crops. J Food Prot 2016; 79:902-12. [PMID: 27296593 DOI: 10.4315/0362-028x.jfp-15-479] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Recent produce-associated foodborne illness outbreaks have been attributed to contaminated irrigation water. This study examined microbial levels in Pennsylvania surface waters used for irrigation, relationships between microbial indicator organisms and water physicochemical characteristics, and the potential use of indicators for predicting the presence of human pathogens. A total of 153 samples taken from surface water sources used for irrigation in southeastern Pennsylvania were collected from 39 farms over a 2-year period. Samples were analyzed for six microbial indicator organisms (aerobic plate count, Enterobacteriaceae, coliform, fecal coliforms, Escherichia coli, and enterococci), two human pathogens (Salmonella and E. coli O157), and seven physical and environmental characteristics (pH, conductivity, turbidity, air and water temperature, and sampling day and 3-day-accumulated precipitation levels). Indicator populations were highly variable and not predicted by water and environmental characteristics. Only five samples were confirmed positive for Salmonella, and no E. coli O157 was detected in any samples. Predictive relationships between microbial indicators and the occurrence of pathogens could therefore not be determined.
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Affiliation(s)
- Audrey D Draper
- Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Stephanie Doores
- Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Hassan Gourama
- Division of Science, The Pennsylvania State University-Berks Campus, Reading, Pennsylvania 19610, USA
| | - Luke F LaBorde
- Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
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