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Research on Application of Direct Standardization Algorithm in Near-Infrared Spectrum Calibration Transfer of Acid Value and Peroxide Value of Edible Oil |
LIU Cui-ling, LI Tian-rui*, WEI Li-na, XU Ying-ying, WU Jing-zhu |
Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University,Beijing 100048, China |
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Abstract The good near-infrared spectrum quantitative analysis models -of edible oil and the model sharing between different instruments can improve the utilization of the models and meet the needs of edible oil industrial development. The research mainly investigated the application of the direct standardized algorithm in the calibration transfer of the acid value and peroxide value of edible oil. 50 samples were selected including soybean oil, peanut oil, sesame oil and corn oil. The experimental instruments were VERTEX 70 Fourier Infrared Spectometer and Antaris Ⅱ Fourier Near-Infrared Spectrometer (including fiber probe and transmission probe). Three groups of experiments were carried out: The first group used the master instruments, VERTEX 70 and the slave instrument, Antaris Ⅱ (fiber optic probe components); the second group used the master instrument, the VERTEX 70 and the slave instrument, Antaris Ⅱ (the transmissive component); and the third group used the master instrument, Antaris Ⅱ (Transmissive Part) and the slave instrument, Antaris Ⅱ(Fiber Part). Depending on the direct standardization algorithm and the partial least square correction model of the master instrument, the calibration transfer was studied on the near-infrared spectroscopy model of the acid value and the peroxide value of the edible oil. The experimental results showed that for VERTEX 70 and Antaris Ⅱ (fiber optic probe components), the mean square errors of the acid value and peroxide value before and after the calibration transfer were 54.675 6 and 1 912.219 4, respectively, and their mean square errors reduced to 0.560 13 and 4.835 6, respectively, after using the direct standardized algorithm. The direct standardization algorithm has fairly good effects on the calibration transfer of the acid value and peroxide value of edible oil between the instruments with the same principle and acid value compared to the peroxide value. The research results are of importance for the wide application of the quick quantitative analysis model of edible oil.
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Received: 2016-11-04
Accepted: 2017-04-15
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Corresponding Authors:
LI Tian-rui
E-mail: a124839@126.com
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