Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1228201 | Microchemical Journal | 2009 | 6 Pages |
Abstract
A method has been introduced for quantitative determination of protein content in yogurt samples based on the characteristic absorbance of protein in 1800–1500 cm− 1 spectral region by mid-FTIR spectroscopy and chemometrics. Successive Projection Algorithm (SPA) wavelength selection procedure, coupled with feed forward Back-Propagation Artificial Neural Network (BP-ANN) model was the benefited chemometric technique. Relative Error of Prediction (REP) in BP-ANN and SPA-BP-ANN methods for training set was 7.25 and 3.70 respectively. Considering the complexity of the sample, the ANN model was found to be reliable, while the proposed method is rapid and simple, without any sample preparation step.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Mohammadreza Khanmohammadi, Amir Bagheri Garmarudi, Keyvan Ghasemi, Salvador Garrigues, Miguel de la Guardia,