QuEChERS Method for the Determination of Pesticide Residues in Indonesian Green Coffee Beans using Liquid Chromatography Tandem Mass Spectrometry

Authors

  • Harmoko Harmoko Center for Quality Control of Goods, Ministry of Trade of Indonesia, Jalan Raya Bogor Km 26 Ciracas Jakarta Timur 13740, Indonesia
  • Rahmana Emran Kartasasmita School of Pharmacy, Institut Teknologi Bandung, Jalan Ganesha No. 10 Bandung 40132, Indonesia
  • Astika Tresnawati Center for Quality Control of Goods, Ministry of Trade of Indonesia, Jalan Raya Bogor Km 26 Ciracas Jakarta Timur 13740, Indonesia

DOI:

https://doi.org/10.5614/j.math.fund.sci.2015.47.3.7

Keywords:

green coffee beans, LC-ESI-MS/MS, MRM, pesticide residues, QuEChERS.

Abstract

A method using QuEChERS sample preparation followed by liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESIMS/MS) was developed for quantitative determination of 14 pesticide residues in Indonesian green coffee beans. The European Standard Method EN 15662:2008 was modified to obtain an appropriate extraction and clean-up procedure for green coffee bean samples. Homogenous slurry samples were extracted with 1% acetic acid in acetonitrile and the extracts were cleaned up by a high pigment dispersive SPE. LC-ESI-MS/MS was operated in the MRM mode for two specific precursor-product ion transitions per target compound to obtain 4 identification points. Representative matrix-matched calibration curves were applied to compensate matrix effects. This method was validated according to the requirements of SANCO/12495/2011. Limits of detection (LODs) and limits of quantification (LOQs) were obtained in the ranges of 0.2-2.9 μg kg-1 and 0.8-9.7 μg kg-1 respectively, showing lower values than the maximum residu limits (MRLs) set by importing countries. The method was applied to determine 14 pesticide residues in 181 Indonesian green coffee bean samples that were taken from different regions. Some pesticide residues were found in these samples and detected to be higher than the MRLs.

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Published

2015-12-01

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