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Determination of Sodium Fatty Acid in Soap Formulation Using Fourier Transform Infrared (FTIR) Spectroscopy and Multivariate Calibrations
Author(s) -
Rohman Abdul,
Che Man Yaakob Bin
Publication year - 2011
Publication title -
journal of surfactants and detergents
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.349
H-Index - 48
eISSN - 1558-9293
pISSN - 1097-3958
DOI - 10.1007/s11743-010-1195-6
Subject(s) - chemistry , fourier transform infrared spectroscopy , partial least squares regression , attenuated total reflection , principal component regression , sodium , spectroscopy , analytical chemistry (journal) , principal component analysis , infrared spectroscopy , fourier transform spectroscopy , fourier transform , chromatography , organic chemistry , mathematics , chemical engineering , statistics , mathematical analysis , physics , quantum mechanics , engineering
Fourier Transform Infrared (FTIR) spectroscopy using an attenuated total reflectance (ATR) accessory has been investigated as a method for the determination of sodium‐fatty acid (sodium‐FA) in soap formulations. Multivariate calibrations namely partial least squares regression (PLS) and principle component regression (PCR) were developed for the prediction of sodium‐FA using spectral ranges on the basis of relevant IR absorption bands related to sodium‐FA. The sodium‐FA content in soap formulations was predicted accurately at wavenumbers of 1,570–1,550 cm −1 , which is specific for RCOO − Na + vibration. The PLS method was found to be a consistently better predictor when both PLS and principal component regression (PCR) analyses were used for quantification of sodium‐FA. Furthermore, FTIR spectroscopy can be an alternative technique to American oil Chemist Society methods which use a titrimetric technique because FTIR offers rapid, easy sample preparation and is friendly to the environment.