Cryptosporidium's burden of disease attributable to consumption of wastewater-irrigated raw vegetables

(2022) Cryptosporidium's burden of disease attributable to consumption of wastewater-irrigated raw vegetables. MICROBIAL RISK ANALYSIS. ISSN 2352-3522 2352-3530 J9 - MICROB RISK ANAL

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Abstract

Conventional wastewater treatment plants do not effectively remove parasitic protozoa resulting in their pres-ence in wastewater effluent. Therefore, agricultural reuse of wastewater effluent could be a route of Crypto-sporidium transmission into the food chain. Samples of secondary wastewater, wastewater-irrigated soil and vegetable samples were collected from an experimental field and analyzed using real-time PCR for quantification of Cryptosporidium oocysts. Quantitative microbial risk analysis (QMRA) was performed to determine the annual disease burden from Cryptosporidium associated with consumption of wastewater-irrigated vegetables. Detection of Clostridium perfringens spores as a potential indicator for the presence of Cryptosporidium was also performed. Cryptosporidium was observed in 64 of the effluent samples ranging from 16 to 162 oocysts L-1, whereas no oocysts were detected in wastewater-irrigated soil and the vegetable samples. The mean annual disease burden for consumption of lettuce (6.6 x 10(-5) DALY per person per year (pppy)) was higher than spring onion (3.4 x 10(-6 )DALY pppy) which both exceeding the WHO guideline of 10-6 DALYs pppy. However, the disease burden was within the acceptable range considering the less stringent level of 10(-4 )DALY pppy. Clostridium spores were detected in 92 of the effluent samples with no relationship with the presence of Cryptosporidium. The results of this study suggest that agricultural reuse of treated wastewater may not be a major health concern of crypto-sporidiosis in a semi-arid region. However, because of the higher risk from lettuce, the choice of an appropriate crop would be needed to completely meet the WHO recommendations for safe reuse of wastewater. The accuracy of the QMRA model could be improved by further investigating the decay rate of oocysts in the same region.

Item Type: Article
Keywords: Cryptosporidium Real-time PCR Wastewater reuse Health risk QMRA MICROBIAL RISK-ASSESSMENT PARVUM OOCYSTS ASSESSMENT MODEL GIARDIA CYSTS DIE-OFF SOIL PCR CONTAMINATION EXPOSURE SURFACE
Journal or Publication Title: MICROBIAL RISK ANALYSIS
Journal Index: ISI
Volume: 21
Identification Number: https://doi.org/10.1016/j.mran.2022.100218
ISSN: 2352-3522 2352-3530 J9 - MICROB RISK ANAL
Depositing User: Zahra Otroj
URI: http://eprints.mui.ac.ir/id/eprint/16181

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