FOOD SCIENCE ›› 2009, Vol. 30 ›› Issue (24): 347-350.doi: 10.7506/spkx1002-6630-200924077

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Rapid Determination of Fatty Acid Content in Rice by Near-Infrared Spectroscopy

FAN Wei-yan1,2，LIN Jia-yong1,*，XING Han3，DOU Fa-de4，WU Yu-kai4   

  1. 1. Academy of State Administration of Grain, Beijing 100037, China；2. College of Food Science and Technology, Nanjing
    Agricultural University, Nanjing 210095, China；3. College of Agriculture, Nanjing Agricultural University, Nanjing 210095,
    China；4. College of Chemical Industry and Environment, Beijing Institute of Technology, Beijing 100081, China
  • Received:2008-12-19 Revised:2009-04-07 Online:2009-12-15 Published:2010-12-29
  • Contact: LIN Jia-yong1,*， E-mail:linjy@chinagrain.org

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Abstract:

The mathematic models for the prediction of fatty acid content of rice was established with the technique of nearinfrared spectroscopy (NIRS). The result showed that the calibration models developed by the partial least square (PLS) regression were optimum. The statistical values of calibration equation were as follows: the coefficient of correlation (RSQ) of 0.961, the standard error of calibration (SEC) of 1.9205, the determination coefficient of cross-validation (1-VR) of 0.9474, the standard error of cross-validation (SECV) of 2.2511, Regression squared (r) of 0.951, square error of prediction (SEP) of 1.934. The t test value between the chemical standard methods and NIRS method was 1.403 (P＜0.1), suggesting no significant difference between these two methods. The absolute average deviation was 0.27. This NIRS method could be applied to predict the fatty acid content in rice.

Key words: rice, fatty acid, near-infrared spectroscopy, calibration mode

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