Human exposure to antibiotic resistant-Escherichia coli through irrigated lettuce.

Abstract

Antibiotic resistant bacteria (ARB) have been found on fresh fruit and vegetables globally. These types of ARB infections are spreading rapidly and are a major human health threat. A quantitative human exposure assessment model was created using scenario analysis to investigate the potential human exposure to antibiotic resistant Escherichia coli (AR-E. coli) through the consumption of lettuce irrigated with surface water. Scientific literature and site specific data were collected to model each process from farm to fork to calculate the concentration of AR-E. coli on the lettuce at the point of human consumption. The processes examined were the adhesion, colonisation and viability of bacteria on the lettuce; the effect of different post-harvest cleaning processes; the effect of consuming the lettuce before, on or after the expiry date; and the effect of the consumer washing the lettuce. The results show the mean human exposure levels ranged between 1.00\u202f×\u202f10-2 and 1.35\u202f×\u202f106\u202fcolony\u202fforming\u202funits (CFU) of AR-E. coli per 100\u202fg of surface water irrigated lettuce for the different scenarios investigated. The mean probability of illness from consuming 100\u202fg of lettuce contaminated with potential pathogenic antibiotic-sensitive E. coli was between 1.46\u202f×\u202f10-9 to 1.88\u202f×\u202f10-2. A back calculation revealed that in order for the EC No 1441/2007 regulation to be exceeded (≥1000\u202fCFU/g of E. coli on lettuce at the manufacturing stage), the mean contamination levels required in the irrigation water would need to be 2.7, 3.1 or 4.8\u202flog\u202fCFU/ml using the post-harvest treatments of washing with water, rapid cooling with water and washing with a chlorine solution respectively. The information generated from this model could help to set guidelines for producers on maximum permissible AR-E. coli contamination levels in irrigation water and provides recommendations on the best post-harvest treatment to use.