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| Quantitative model for rapid detection of main quality index of Sacha Inchi (Plukenetia volubilis L.) seed by near infrared spectrometry |
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| DOI：10.12166/j.zgyz.1003-7969/2020.03.009 |
| KeyWord:Sacha Inchi (Plukenetia volubilis L.) seed near infrared spectrometry moisture content oil content protein content |
| FundProject:云南省科技厅青年项目（2017FD026） |
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| Abstract: |
| Sacha Inchi seed is rich in nutrients, such as fat and protein, and has important nutritional value. In order to rapidly detect the quality of Sacha Inchi seed, the chemical values of moisture content, oil content (wet basis) and protein content (wet basis) in Sacha Inchi seed were obtained by traditional national standard methods. The full and part near infrared spectrum of Sacha Inchi seed and its powder were treated with differment method, and then the calibration models of Sacha Inchi seed and its powder were established by partial least squares regression. The results showed that the correlation coefficients(Rc) of the calibration models were all high than 0.94, the corrected root mean square error (RMSEC) was less than 0.45%, the correlation coefficients of the cross validation models (Rcv) were high than 091, and the root mean square error of cross validation (RMSECV) was less than 0.53%. Near infrared (NIR) measurements were carried out on 20 samples which were not involved in the established models, and the results showed that the calibration models could predict moisture content, oil content (wet basis) and protein content (wet basis) of Sacha Inchi seed and its powder. However, the calibration model established by Sacha Inchi seed was more convenient and non-destructive to the samples. |
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