FTIR-ATR determination of solid non fat (SNF) in raw milk using PLS and SVM chemometric methods

•Solid non fat concentrations were analysed in raw milks by FTIR and chemometrics.•PLS and SVM regressions were able to model the FTIR spectral data.•Models predicted the solid non fat concentrations with low errors. Fourier transform infrared spectroscopy (FTIR) attenuated total reflectance (ATR) s...

Full description

Saved in:
Bibliographic Details
Published in:Food chemistry 2014-03, Vol.146, p.250-254
Main Authors: Bassbasi, M., Platikanov, S., Tauler, R., Oussama, A.
Format: Article
Language:English
Subjects:
Animals
ATR–MIR
Biological and medical sciences
Cattle
Chemometrics
Fats - analysis
Food toxicology
Fourier transforms
Infrared spectroscopy
Least-Squares Analysis
Mathematical models
Medical sciences
Milk
Milk - chemistry
PLS
Quantification
Raw
Raw milk
Regression
Solid non fat
Spectroscopy, Fourier Transform Infrared - methods
Spectroscopy, Fourier Transform Infrared - standards
Support Vector Machine
Support vector machines
SVM
Toxicology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•Solid non fat concentrations were analysed in raw milks by FTIR and chemometrics.•PLS and SVM regressions were able to model the FTIR spectral data.•Models predicted the solid non fat concentrations with low errors. Fourier transform infrared spectroscopy (FTIR) attenuated total reflectance (ATR) spectroscopy, coupled with chemometrics methods have been applied to the fast and non-destructive quantitative determination of solid non fat (SNF) content in raw milk. Partial least squares regression (PLS) and support vector machine (SVM) regression methods were used to model and predict SNF contents in raw milk based on FTIR spectral transmission measurements. Both methods, PLS and SVM, showed good performances in SNF prediction with relative prediction errors in the external validation of between 0.2% and 0.3% depending on the spectral range and regression method. Coefficient of determination of the global fit was always above 0.99. Since, the relative prediction errors were low, it can be concluded that FTIR-ATR with chemometrics can be used for accurate quantitative determinations of SNF contents in raw milk within the investigated calibration range of 79–100g/L. The proposed procedure is fast, non-destructive, simple and easy to implement.
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2013.09.044