Valıdatıon Of a Multıresıdue Analysıs Method For The Detectıon Of Pestıcıde Resıdeues In Cucumber Pıckles Usıng Lc MS/MS


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Hazarhun G., Kumral A. , Maden B., Ayyıldız K.

Gıda Kimyası Kongresi, Antalya, Turkey, 3 - 06 March 2022, pp.3

  • Publication Type: Conference Paper / Summary Text
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.3

Abstract

Validation of a Multi-Residue Analysis Method for the Detection of Pesticide Residues in Cucumber Pickles Using LC MS/MS

Cucumbers used for pickle processing are generally produced in greenhouses. Plant pests and diseases sp read rapidly in greenhouses and lead to frequent and intense use of pesticides1 . Presence of pesticide residues on cucumbers causes serious problems because of the high stability of pesticides at low pH values occurring during pickle processing2 . So it is necessary to monitor the fate of pesticides during fermentation and pickling. In this study, validation of a multi-residue analysis method was performed for the detection of 63 different pesticides in cucumber pickles using LC MS/MS. The extraction and cleaning up of the pesticides were conducted by using QuEChERS method3 . For validation of the multiresidue analysis, the parameters [selectivity, linearity, limit of detection (LOD), limit of quantification (LOQ), trueness (recovery %) and precision (intra-day and inter-day)] were evaluated according to SANTE/12682/2019 Guidelines4 . All pesticides were detected within a very short time of 11.53 minutes. The linearities of all compounds were quite confident (R2 = from 0.991 to 0.999). The LOD and LOQ values were between 2.48 to 5.84 (µg kg-1 ) and 2.74 to 7.79 (µg kg-1 ), respectively. The values were under the lowest Maximum Residue Limit (10 µg kg-1 ) for all pesticides. The recovery percentages of compounds for two spike levels (10 and 50 µgkg-1 ) were calculated between 89.09-116.89% and 85.85- 115.51%, respectively. The highest repeatability RDSr and reproducibility RDSR values were 16.48 and 19.88%, respectively. Thus, findings obtained with the evaluation of all parameters were found to be compatible with the SANTE validation criteria, so the method was reliable, effective and easy to use for the detection of pesticides in cucumber pickles using LC MS/MS. This study was funded as a research project (grant number FKA-2021-531) by the collaboration of Bursa Uludag University and Perla Fruit Company.