Detection of Three-component Adulteration in Camellia Oleifera Abel Seed Oil by Near Infrared Spectroscopy

Zi-hao AI, Ya-ru YU, Qiang XU, Xiao ZHENG

Abstract


In this paper, A combination of near-infrared microscopy and chemometrics were employed to identify the adulteration in Camellia oleifera Abel seed oil. The qualitative and quantitative detection methods for three-component adulteration in Camellia oleifera Abel seed oil was studied, and the models for the authenticity identification and content determination of Camellia oleifera Abel seed oil were established. Multivariate scattering correction (MSC), standard normal variate (SNV) and combination of standard normal variate and de-trend (SNV-DT) were separately used for the preprocessing of original spectra. Backward interval partial least squares (BiPLS) method was used to optimize feature variables, and partial least squares (PLS) method was employed to extract the spectrum from the characteristic wavelength. The parameters were optimized through comparative interactive verification (CV) and genetic algorithm (GA). With the establishment of qualitative and quantitative models in the full wavelength and characteristic wavelength ranges, the qualitative and quantitative identification paths were optimized. The results show that the identification and quantitative detection of Camellia oleifera Abel seed oil adulterated with three dopants could be realized by NIRS. The accuracy of as-established MSC-BiPLS-GA-SVC model was up to 100%. The correlation coefficient R of the MSC-BiPLS-GA-SVC model reached 99.7254%, and the MSE value was 0.0234.

Keywords


Near infrared spectroscopy, Camellia oleifera Abel seed oil, Three-component adulteration, Qualitative and quantitative detection


DOI
10.12783/dtcse/msam2020/34262

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