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Cited by 32Listeria monocytogenes in Food SafetyFood Safety and HygieneFecal contamination and water quality

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Effects of Water Quality and Post-Harvest Handling on Microbiological Contamination of Lettuce at Urban and Peri-Urban Locations of Ouagadougou, Burkina Faso

Open access
Dao, Juliane, Stenchly, Kathrin, Traoré, Oumar, Amoah, Philip, Buerkert, Andreas·2018·Foods

Abstract

Vegetable production in urban gardens of Ouagadougou contributes to food security, but water for irrigation is often of low quality. This is particularly acute if irrigation water is taken from wastewater polluted channels. This study aimed at (i) verifying to what degree irrigation water quality is correlated with contamination of lettuce with Escherichia coli, total coliforms, and Salmonella spp., and (ii) assessing effects of post-harvest handling on pathogen development during the trade chain. We tested pathogen removal efficiency on lettuce by applying post-harvest washing. Irrigation water of production areas in Ouagadougou (n = 10) showed a mean E. coli load of 2.1 × 105 CFU 100 mL−1. In 60% of the cases, irrigation water did not meet the standards of the World Health Organization (WHO) for safe irrigation water, and in 30% of the cases, irrigation water was contaminated with Salmonella spp. Loads of total coliforms on lettuce leaves ranged from 2.9 × 103 CFU g−1 to 1.3 × 106 CFU g−1, while E. coli averaged 1.1 × 102 CFU g−1. Results on post-harvest handling revealed that microbial loads increased along the trade chain. Overall, half of all lettuce samples (n = 60) were tested positively for Salmonella spp. The experiment showed that appropriate post-harvest handling could prevent the increase of total coliforms.

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Registry

Crossref · 10.3390/foods7120206

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Figures

Figure 1 Location of the studied lettuce production farms (circle), in Ouagadougou (Burkina Faso) in 2014 with three different types of markets: Public market (black asterisk), informal market (white asterisk), and street shop (flake).
Figure 1 Location of the studied lettuce production farms (circle), in Ouagadougou (Burkina Faso) in 2014 with three different types of markets: Public market (black asterisk), informal market (white asterisk), and street shop (flake).CC BY · PubMed Central
Figure 2 Load of E. coli (left) and total coliforms (right) on lettuce at the time of harvest, arrival at the market, and two hours after arrival in the market in Ouagadougou (Burkina Faso), 2014. Boxplots show the lower quartile, and median and upper quartile, with whiskers extending to the most extreme data point that is no more than 1.5 times the interquartile range from the edge of the box.
Figure 2 Load of E. coli (left) and total coliforms (right) on lettuce at the time of harvest, arrival at the market, and two hours after arrival in the market in Ouagadougou (Burkina Faso), 2014. Boxplots show the lower quartile, and median and upper quartile, with whiskers extending to the most extreme data point that is no more than 1.5 times the interquartile range from the edge of the box.CC BY · PubMed Central
Figure 3 Experiment to evaluate the effect of irrigation water source (channel and tap water) and post-harvest washing on the total coliform load of lettuce cultivated in an urban production farm in Ouagadougou (Burkina Faso) in 2014. Stars indicate significant differences between the mean of washed and unwashed samples using p < 0.01 (*) and p < 0.001 (**) as significance thresholds. Boxplots show the lower, median, and upper quartile, with whiskers extending to the most extreme data point that is no more than 1.5 times the interquartile range from the edge of the box.
Figure 3 Experiment to evaluate the effect of irrigation water source (channel and tap water) and post-harvest washing on the total coliform load of lettuce cultivated in an urban production farm in Ouagadougou (Burkina Faso) in 2014. Stars indicate significant differences between the mean of washed and unwashed samples using p < 0.01 (*) and p < 0.001 (**) as significance thresholds. Boxplots show the lower, median, and upper quartile, with whiskers extending to the most extreme data point that is no more than 1.5 times the interquartile range from the edge of the box.CC BY · PubMed Central

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Metadata

Authors
Dao, J., Stenchly, K., Traoré, O., Amoah, P., & Buerkert, A.
Affiliations
  • University of Kassel (DE)
  • Laboratoire National de Santé Publique, 09 B.P. 24, Ouagadougou 09, Burkina Faso
  • International Water Management Institute (IWMI), West Africa Office, PMB CT 112 Cantonments, Accra, Ghana
  • Organic Plant Production and Agroecosystems Research in the Tropics and Subtropics (OPATS), Universität Kassel, Steinstrasse 19, D-37213 Witzenhausen, Germany
Corresponding author
Stenchly, Kathrin
Venue
Foods
Publisher
MDPI AG
Published
2018-12-16
Volume
7
Issue
12
Pages
206
ISSN
2304-8158 (ISSN-L)
OpenAlex
W2904306375
Cited by
31
References
37
Citations by year
2026: 4 · 2024: 6 · 2023: 7 · 2022: 5 · 2021: 2 · 2020: 5 · 2019: 2
FWCI
1.42
Type
journal article
Language
en
Open access
Locations
  • Foods (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Kobra (Universitätsbibliothek Kassel)
Funders
  • Bundesministerium für Bildung und Forschung (FKZ 031A242A)
  • Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung (FKZ 031A242A)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Listeria monocytogenes in Food Safety
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Food Safety and Hygiene
  • Physical Sciences › Environmental Science › Water Science and Technology › Fecal contamination and water quality
Keywords
lettuce, irrigation water quality, postharvest handling, microbial contamination, Escherichia coli, total coliforms, Salmonella, urban gardens, peri-urban agriculture, food safety, Ouagadougou

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