Application of Fourier Transform Infrared Spectroscopy Combined with Pattern Recognition Method for Rapid Authentication of Edible Oil
The rapidly analytical method for authenticity of edible oil was established by Fourier transform infrared spectroscopy（FTIR） combined with soft independent modeling of class analogy（SIMCA）.Based on fingerprint characteristics of FTIR,the spectra of 53 qualified edible oils and 13 false edible oils were analyzed.After preprocessing these spectra data with second derivative and normalization,principal component analysis（PCA） was used to extract the characteristic variables in pattern recognition.Then,43 qualified oils and 9 false oils were selected as training set to establish SIMCA classification model.And the model was validated by other 10 qualified oils and 4 false oils as validation set with the correct recognition rate of 100%.The results demonstrated that FTIR combined with chemometrics could be alternatively used to rapidly and simply determine the authenticity of edible oil.
NETL
NSTL
万方数据
维普
