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《Modern Food》 2018-01
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Development and Verification of Cassava Near Infrared Detection Model

Shen Yan;Cao Yubing;Henan Tianguan Enterprise Group Co.,Ltd.;Henan Tianguan Fuel Ethanol Co.,Ltd.;  
Near-infrared spectroscopy(NIRS) was used to collect near-infrared spectroscopy data of cassava. The data were corrected by multivariate scatter calibration(MSC), partial least square method and differential method were used to derive the best calibration curve parameters,development of a test model for cassava. The results showed that the standard deviation SEP of the model was 0.15% and the standard deviation of starch SEP was 0.56%. The accuracy and repeatability of the test results could meet the standard requirements.
【CateGory Index】: O657.33;TS215
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