Key Laboratory of National Science Center on Processing of Camellia Oleifera

Nanjing, China

Key Laboratory of National Science Center on Processing of Camellia Oleifera

Nanjing, China
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Yuan J.,CAF Institute of Chemical Industry of Forest Products | Yuan J.,Key and Open Laboratory on Forest Chemical Engineering | Yuan J.,Key Laboratory of National Science Center on Processing of Camellia Oleifera | Wang C.,CAF Institute of Chemical Industry of Forest Products | And 13 more authors.
Food Chemistry | Year: 2013

Under the serious circumstances of Camellia oleifera adulteration, the accurate examination for quality trait of C. oleifera oil is extremely urgent. For rapid determination of FA composition in C. oleifera oil, the feasibility of NITS was first studied. The quantitative models for FA were built based on PLS regression. NITS spectra is able to accurately predict for oleic, linoleic, and palmitic acids (Rcv > 0.844, R2 > 0.886). R cv are 0.91987, 0.95755, and 0.84447, and R2 are 0.9424, 0.9682, 0.8862 for NITS models of oleic, linoleic, and palmitic acids, respectively. But models for stearic and unsaturated acids are less accurate, with values of Rcv from 0.67440 to 0.69114, and R2 from 0.6834 to 0.7587. These results indicate that NITS will have potential to be used in predicting FA composition of C. oleifera oil. © 2012 Elsevier Ltd. All rights reserved.


Yuan J.-J.,CAF Institute of Chemical Industry of Forest Products | Yuan J.-J.,Key and Open Laboratory on Forest Chemical Engineering | Yuan J.-J.,Key Laboratory of National Science Center on Processing of Camellia Oleifera | Wang C.-Z.,CAF Institute of Chemical Industry of Forest Products | And 13 more authors.
International Journal of Food Properties | Year: 2016

Under the serious circumstances of Camellia oleifera adulteration, the accurate examination for quality trait of C. oleifera oil is extremely urgent. The use of near infrared transmittance spectroscopy as a rapid and cost-efficient classification technique for the authentication of Camellia oil was investigated. At the same time, the feasibility of near infrared transmittance spectroscopy for the rapid determination of soybean oil and maize oil adulterated in binary and ternary system Camellia oils was explored. The results showed that identifications was made based on the slight difference in raw near infrared transmittance spectra in Camellia oils, soybean oils, maize oils, and those adulterated with soybean and maize oil with discriminant equations techniques. Furthermore, the performance of near infrared transmittance spectroscopy models for binary and ternary system adulterated Camellia oils was satisfactory. Moreover, the near infrared transmittance spectroscopy calibration model of soybean oil (0-50%) in binary system adulterated Camellia oils was the best, and correlation coefficients of the cross-validation (Rcv) was 0.99999. For the near infrared transmittance spectroscopy calibration model of maize oil in binary system (0-50%) and ternary system (0-40%) adulterated Camellia oils, the Rcv were 0.99996 and 0.99961, respectively. In addition, the coefficients of external validation for three models were obtained (0.9998, 0.9999, and 0.9967, respectively). In all, near infrared transmittance spectroscopy could be conducted to identify Camellia oils and detect soybean oil and maize oil adulterated in binary and ternay system Camellia oils from the methodology. Copyright © Taylor & Francis Group, LLC.

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