Analysis of Pathogenic Microorganism’s Contamination on Organic Leafy Vegetables at Greenhouse in Korea

Oh, Soh-Young; Nam, Ki-Woong; Yoon, Deok-Hoon

doi:10.13103/jfhs.2018.33.1.31

Cited by 2 publications

(1 citation statement)

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“…and Prevention, 2018) 채소류에 의한 식중독 사고가 발생 함에 따라 농산물의 미생물학적 안전성에 대한 관심이 높아지 고 있다 (Mikhail et al, 2018;Oh et al, 2018;FDA, 2018 (Pagadala et al, 2015). 여 러 선행연구 결과가 식중독 세균이 농업용수를 통해 농산물 로 전파될 수 있다는 것을 보여준다 (Allende and Monaghan, 2015;Steele and Odumeru, 2004 (Pachepsky et al, 2016;Divya and Solomon, 2016;Tran et al, 2015 (LeChevallier et al, 1996;Kleinheinz et al, 2010;Zhang et al, 2011;Wang and Doyle, 1998 (Korhonen and Martikalnon, 1991;Henis et al, 1989)…”

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Microbiological Quality of Agricultural Water in Jeollabuk-do and the Population Changes of Pathogenic Escherichia Coli O157:H7 in Agricultural Water Depending on Temperature and Water Quality

Hwang¹,

Ham²,

Park³

et al. 2019

Korean Journal of Environmental Agriculture

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BACKGROUND: Agricultural water is known to be one of the major routes in bacterial contamination of fresh vegetable. However, there is a lack of fundamental data on the microbial safety of agricultural water in Korea. METHODS AND RESULTS:We investigated the density of indicator bacteria in the surface water samples from 31 sites collected in April, July, and October 2018, while the groundwater samples were collected from 20 sites within Jeollabuk-do in April and July 2018. In surface water, the mean density of coliform, fecal coliform, and Escherichia coli was 2.7±0.55, 1.9±0.71, and 1.4±0.58 log CFU/100 mL, respectively, showing the highest bacterial density in July. For groundwater, the mean density of coliform, fecal coliform, and E. coli was 1.9±0.58, 1.4±0.37, and 1.0±0.33 log CFU/ 100mL, respectively, showing no significant difference between sampling time. The survival of E. coli O157:H7 were prolonged in water with higher organic matter contents such as total nitrogen (TN), and nitrate-nitrogen (NO 3 -N). The reduction rates of E. coli O157:H7 in the water showed greater in order of 25, 35, 5, and 15℃. CONCLUSION: These results can be utilized as fundamental data for prediction the microbiological contamination of agricultural water and the development of microbial prevention technology.

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