Use of SPME and Chemometrics in Method Development for Food and Environmental Analysis of Pesticide Residues
Guan Huat Tan*, Kah Hin Low and Adijat Awoniran
Department of Chemistry, University of Malaya, 50603 Kuala Lumpur, Malaysia
- Corresponding Author:
- Guan Huat Tan
Department of Chemistry
University of Malaya, 50603 Kuala Lumpur, Malaysia
E-mail: [email protected]
Received Date: September 22, 2015 Accepted Date: September 24, 2015 Published Date: November 02, 2015
Citation: Ayuka F, Barnett R (2015) Place Effects on Alcohol Consumption: A Literature Review. J Addict Res Ther 6:207. doi: 10.4172/2155-6105.1000207
Copyright: © 2015 Ayuka F, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The need to analyze multi pesticide residues continues to be imperative and applying a suitable experimental design remains the core to achieving a comprehensive chemical analysis. The pretreatment of a sample has been found to be the most important rate-determining step as it affects the instrumental process and data analysis. The use of the SPME technique coupled with GC-MS to determine multi-residue pesticides is found to be applicable in environmental, pharmaceutical, food, clinical, forensic samples in three modes (DI-SPME, HS-SPME and MD-SPME). This has gained much recognition due to its advantage over the classical or previous sample pretreatment methods such as SPE, LLE, LDME, HFME and DLME. Before applying SPME coupled to a GC-MS detector, several conditions need to be met in order to accomplish enhanced extraction rate, efficiency and sensitivity of experimental procedures. The large numbers of data sets obtained with the advent of various instrumental techniques can be analyzed speedily by applying chemometric methods to screen the various parameters affecting the calibration methods by statistical application so as to achieve the best optimization of the experiment. This review aims at looking at the different chemometric methods for multivariate parameter optimization in experimental design for the analysis of pesticide residues in water.