Quality diversity and Fourier transform infrared spectrum characteristic of rapeseed oil
  
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KeyWord:rapeseed oil  quality  Fourier transform infrared spectrum  multiple linear regression model
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Author NameAffiliation
ZHU Rui1, LI Xianghui2, YI Yang2 1.College of Arts and Sciences, Yangtze University, Jingzhou 434020, Hubei, China
2.School of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China 
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Abstract:
      To provide scientific basis for quality monitoring and rapid detection of rapeseed oil, forty nine rapeseed oil samples were collected to determine their quality index and fatty acid composition, their quality diversity was analyzed, as well as the relationship between quality characteristics and attenuated total reflectance-Fourier transform infrared spectrum(ATR-FTIR). The results showed that the coefficients of variation (CV) for the peroxide value (PV) and acid value (AV) of the oil samples were 63.20% and 152.90%, respectively. The CV of the main fatty acids composition of rapeseed oils, palmitic acid, oleic acid and linoleic acid was not more than 21.38%. By comparison, the CV of eicosenoic acid content reached 127.09%. Further classification analysis indicated that the PV, linoleic acid content and unsaturated fatty acid content of the oil samples were associated with their producing areas,processing technologies, rapeseed varieties, shelf periods and quality grades. The ATR-FTIR common model of rapeseed oils was established by chemometrics. The similarity value of each spectrum was analyzed by correlation coefficient method, ranging from 0.68 to 0.98, and 10 common peaks were screened out. Taking the peak height mean value of the common peak as the independent variable, the multiple linear regression models of PV, AV, and main fatty acid content were constructed. The fatty acid models, involving palmitic acid, oleic acid, linoleic acid, eicosenoic acid, unsaturated fatty acid and saturated fatty acid, were all significant (p<0.05), by contrast, the models of PV and AV were not significant (p>0.05). The results of verification test performed with 30 heat-treated samples indicated that the model could accurately predict the content of unsaturated fatty acid with a relative error range of -11.15%-10.95%. In conclusion, Fourier transform infrared spectroscopy can be preliminarily used for the rapid analysis of fatty acid composition of the commercially available rapeseed oil.
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