GC-FPD/NPD Method Development for Pesticide Multi-Residues Determination in Fresh Matrices

Abdel Ghani, Sherif B.
May 2014
Australian Journal of Basic & Applied Sciences;May2014, Vol. 8 Issue 7, p241
Academic Journal
Background: Many common insecticides used in fruit and vegetable farms belong to organophosphorus (OP) group of pesticides. They are mainly employed for insects, nematodes, and mites' control. Therefore, Eight organophosphorus pesticides were selected to be investigated, i.e., ethion, malathion, diazinon, chlorpyrifos, chlorpyrifosmethyl, cadusafos, profenofos and phenthoate. These pesticides are extensively used in fruits and vegetables. Grapes (high sugar content and acidic matrix) and green beans (high chlorophyll content matrix) were selected for the development and validation of the method. Objective: to develop and validate a rapid, specific and sensitive multiresidue-analytical method for the routine analysis of widely used organophosphorus pesticide residues in fresh grapes and green beans as representative materials for fresh products. Results: In green beans, accuracy data ranged from 87.9 % to 96.9 % at 0.01 mg/kg level with precision (RSD) of 9.9 as maximum while at the 0.05 mg/kg level recoveries ranged from 100.0 to 107.0 % and (RSD) of 5.7 % or less. In case of grapes, accuracy results ranged from 93.6 to 117.3% and from 102.7 to 109.2% for 0.01 and 0.05 mg/kg levels, respectively while repeatability ranged from 5.5 to 11.9 % at 0.01 mg/kg level and from 4.2 to 5.0 % at 0.05 mg/kg level. Conclusion: A multi-residues analytical method for eight compounds in grapes and green beans was developed and validated using GC-FPD/NPD according to European Commission guidelines. Baseline separation (separation factor = 1.5) was achieved for most of the tested pesticides. Matrix matched standards were prepared using pesticide free blank extract of both matrices as well as, interfering peaks. The presented method showed acceptable accuracy results that varied between 87.9 and 117.3 % and precision (RSD) not higher than 11.9% in both matrices. The obtained results meet the EU standard requirements and legislations to consider a method accurate and reproducible.


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