Scenarios of human errors and their quantification in multi-residue analysis of pesticides in fruits and vegetables

Abstract

A total of 54 scenarios of human errors in multi-residue analysis of pesticides in fruits and vegetables are mapped in a routine monitoring laboratory. The likelihood and severity of the errors and the ability of components of the laboratory quality system to prevent/block human errors, as well as the effectiveness of the quality system as a whole, are evaluated using expert judgments. It is shown that human errors in sampling are prevented less by the quality system than other steps of the analysis. Training and supervision are found as the quality system components having the highest priorities. Effectiveness of the quality system obtained a good score value of 71 % (in comparison with an ideal system preventing human errors with 100 % effectiveness). Variability of the score values resulting from changes of the expert judgments is discussed.