title: Multivariate study of parameters in the determination of pesticide residues in apple by headspace solid phase microextraction coupled to gas chromatography-mass spectrometry using experimental factorial design.
abstract: Solid-phase microextraction (SPME) is a solvent-less sample preparation method which combines sample preparation, isolation, concentration and enrichment into one step. In this study, multivariate strategy was used to determine the significance of the factors affecting the solid phase microextraction of pesticide residues (fenobucarb, diazinon, chlorothalonil and chlorpyrifos) using a randomised factorial design. The interactions and effects of temperature, time and salt addition on the efficiency of the extraction of the pesticide residues were evaluated using 2(3) factorial designs. The analytes were extracted with 100 μm PDMS fibres according to the factorial design matrix and desorbed into a gas chromatography-mass spectrometry detector. The developed method was applied for the analysis of apple samples and the limits of detection were between 0.01 and 0.2 μg kg(-)(1), which were lower than the MRLs for apples. The relative standard deviations (RSD) were between 0.1% and 13.37% with average recovery of 80-105%. The linearity ranges from 0.5-50 μg kg(-)(1) with correlation coefficient greater than 0.99.
authors.affiliation: Department of Chemistry, Faculty of Science, University of Malaya, Lembah Pantai, 50603 Kuala Lumpur, Malaysia. abdulrauflukman@siswa.um.edu.my
authors.forename: Lukman Bola
authors.initials: LB
authors.lastname: Abdulra'uf
authors.forename: Guan Huat
authors.initials: GH
authors.lastname: Tan
mesh_terms: D005506:Food Contamination / Q000032:analysis*; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D027845:Malus / Q000737:chemistry*; D010573:Pesticide Residues / Q000032:analysis* / Q000302:isolation & purification*; D012107:Research Design; D052617:Solid Phase Microextraction / Q000379:methods*
chemical_list: D010573:Pesticide Residues
keywords: Factorial design; Multivariate analysis; Pesticide residues; SPME