Orthogonal signal correction–partial least squares method for simultaneous spectrophotometric determination of acetaminophen and caffeine
Publish place: The Regional Chemistry Conference
Publish Year: 1389
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
MIAUCHEMISTRY01_053
تاریخ نمایه سازی: 18 اسفند 1397
Abstract:
The simultaneous determination of acetaminophen and caffeine mixtures by using spectrophotometric method is a difficult problem in analytical chemistry, due to spectral interferences. By multivariate calibration methods, such as partial least squares (PLS) regression, it is possible to obtain a model adjusted to the concentration values of the mixtures used in the calibration range. Orthogonal signal correction (OSC) is a preprocessing technique used for removing the information unrelated to the target variables based on constrained principal component analysis. OSC is a suitable preprocessing method for partial least squares calibration of mixtures without loss of prediction capacity using spectrophotometric method. In this study, the calibration model is based on absorption spectra in the 200–350 nm range for 25 different mixtures acetaminophen and caffeine. Calibration matrices were containing 2-40 and 5-20 µg/mL for acetaminophen and caffeine, respectively. The RMSEP for acetaminophen and caffeine with OSC and without OSC were 0.1779 and 0.1758 µg/mL , respectively. This procedure allows the simultaneous determination of acetaminophen and caffeine in synthetic and real samples good reliability of the determination was proved.
Authors
Ali Niazi
Department of Chemistry, Faculty of Sciences, Azad University of Arak, Arak, Iran,
Hamideh Zeynali
Department of Chemistry, Faculty of Sciences, Azad University of Arak, Arak, Iran,