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Simultaneous Spectrophotometric Determination of 2‐Thiouracil and 2‐Mercaptobenzimidazole in Animal Tissue Using Multivariate Calibration Methods: Concerns and Rapid Methods for Detection
Author(s) -
Beheshti Abolghasem,
Riahi Siavash,
Pourbasheer Eslam,
Ganjali Mohammad Reza,
Norouzi Parviz
Publication year - 2010
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/j.1750-3841.2009.01458.x
Subject(s) - partial least squares regression , calibration , principal component regression , analyte , calibration curve , chemistry , chromatography , multivariate statistics , least squares function approximation , principal component analysis , analytical chemistry (journal) , mathematics , detection limit , statistics , estimator
Two multivariate calibration methods, partial least squares (PLS) and principal component regression (PCR), were applied to the spectrophotometric simultaneous determination of 2‐mercaptobenzimidazole (MB) and 2‐thiouracil (TU). A genetic algorithm (GA) using partial least squares was successfully utilized as a variable selection method. The concentration model was based on the absorption spectra in the range of 200 to 350 nm for 25 different mixtures of MB and TU. The calibration curve was linear across the concentration range of 1 to 10 μg mL −1 and 1.5 to 15 μg mL −1 for MB and TU, respectively. The values of the root mean squares error of prediction (RMSEP) were 0.3984, 0.1066, and 0.0713 for MB and 0.2010, 0.1667, and 0.1115 for TU, which were obtained using PCR, PLS, and GA‐PLS, respectively. Finally, the practical applicability of the GA‐PLS method was effectively evaluated by the concurrent detection of both analytes in animal tissues. It should also be mentioned that the proposed method is a simple and rapid way that requires no preliminary separation steps and can be used easily for the analysis of these compounds, especially in quality control laboratories.