Rapid determination of physical and chemical indicators in camellia oil based on near infrared spectrum analysis

doi:10.3969/j.issn.1004-1524.2017.11.17

›› 2017, Vol. 29 ›› Issue (11): 1897-1902.DOI: 10.3969/j.issn.1004-1524.2017.11.17

• Food Science • Previous Articles Next Articles

Rapid determination of physical and chemical indicators in camellia oil based on near infrared spectrum analysis

JIANG Qi¹, ZHANG Yu², YANG Hua², WANG Qiang², WANG Junhong², LI Xue², ZHU Zuoyi², WANG Wei^{2, *}, ZHANG Cunli^{1, *}

1. College of Life Science, Northwest A&F University, Yangling 712100, China;
2. Institute of quality standards for agricultural products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310000, China

Received:2017-04-01 Online:2017-11-20 Published:2017-12-05

Abstract

Abstract: In order to non-destructively and precisely determine the iodine value, acid value and peroxide value in camellia oils, the quantitative models for iodine value, acid value and peroxide value were established by near infrared spectroscopy (NIS) with partial least squares (PLS). It was shown that the best models of iodine value, acid value and peroxide value were established by first derivative and Savitzky-Golay filter (S-G) with PLS based on the selected spectral ranges of 5 966-9 000, 4 447-5 665, 4 447-5 605 cm^-1. Verification test showed that the correlation coefficients (R²) of predicated values and determination results were 0.999 2, 0.997 7, 0.996 9. Therefore, it was feasible to detect physical and chemical indicators in camellia oils based on NIS with the constructed models.

Key words: camellia oil, near infrared spectroscopy, iodine value, acid value, peroxide value

CLC Number:

O657.33

JIANG Qi, ZHANG Yu, YANG Hua, WANG Qiang, WANG Junhong, LI Xue, ZHU Zuoyi, WANG Wei, ZHANG Cunli. Rapid determination of physical and chemical indicators in camellia oil based on near infrared spectrum analysis[J]. , 2017, 29(11): 1897-1902.

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Rapid determination of physical and chemical indicators in camellia oil based on near infrared spectrum analysis

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