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Quantitative Determination of Fatty Acids in Camellia Oil by Using Raman Spectroscopy

HAO Yong,SUN Xu-dong,GENG Xiang   

  1. 1. College of Mechanical and Electronical Engineering, East China Jiaotong University, Nanchang 330013, China;
    2. Jiangsu Hengshun Vinegar Industry Co. Ltd., Zhenjiang 212143, China;
    3. Jiangxi Entry-Exit Inspection and Quarantine Bureau, Nanchang 330038, China
  • Online:2013-09-25 Published:2013-09-27

Abstract:

Raman spectroscopy (RS) was applied for the rapid quantitative determination of fatty acids (palmitic acid and
tetradecanoic acid). Totally 70 camellia oil samples were prepared and subjected to Raman spectral analysis. Raw spectra,
wavelet derivative (WD) spectra and standard normal variate (SNV) spectra combined with successive projections algorithm
(SPA) were adopted to optimize partial least square (PLS) models for quantitative analysis of fatty acids. The results showed
that standard normal variate (SNV) and SPA could be used for the optimization of PLS models of fatty acids. The precision
of the models was improved, and modeling variables were simplified. The correlation coefficient of prediction (Rp) and root
mean square error of prediction (RMSEP) for the palmitic acid model were optimized from 0.917 and 2.191 to 0.981 and
1.078, and the modeling variables were reduced from 4000 to 44. For the tetradecanoic acid model, the Rp and RMSEP were
optimized from 0.940 and 0.058 to 0.969 and 0.047, and the modeling variables were 43. This study can provide a rapid
method for the analysis of fatty acids in camellia oil.

Key words: camellia oil, Raman spectroscopy, palmitic acid, tetradecanoic acid, successive projection algorithm