Document Type : Plant Pathology

Author

• V. MAHDAVI

Abstract

A new, simple and accurate method is used for measuring pesticides residue. Multivariate Curve Resolution- Alternating Least Squares (MCR-ALS) has become a popular chemometric method used for the resolution of multiple component responses in unknown unresolved mixtures. The chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments and to provide maximum chemical information by analyzing chemical data. In this research, MCR-ALS method is proposed for spectrophotometric UV-Vis data analysis of carbendazim in aqueous solution. This method decomposes the composite signal in a data matrix into the product of concentration profiles and spectra of each pure species contributing to mixture signal. Soft modeling MCR-ALS is a much more analytical way to model experimental data using only very weak and soft assumptions. Pesticide residue of carbendazim in cucumber with different concentrations was measured. To show the ability of MCR-ALS, same samples were analyzed by HPLC. Results showed the ability of proposed method as compared with HPLC.

Keywords

• MCR-ALS
• Carbendazim
• HPLC
• pesticide residue