Title: Determining Protein and Starch Contents of Whole Maize Kernel by Near Infrared Reflectance Spectroscopy(NIRS)
Abstract: Using 128 bulk- kernel samples of maize inbred lines and hybrids as materials, a study was conducted toinvestigate the feasibility and method of measuring protein and starch contents in intact seeds of maize by near infraredreflectance spectroscopy (NIRS). The chemometric method of partial least square (PLS) regression was used. The resultsindicated that the calibration models developed by the spectral data pretreatment of the first derivative + multivariatescattering correction within the spectral region of 10000-4000 cm-1, and the first derivative + straight line subtraction in9000-4000 cm-1 were the best for protein and starch, respectively. All these models yielded coefficients of determination ofcalibration (R2cal) above 0.97, while R2cv and R2val ranged from 0.92 to 0.95 for cross and external validation, respectively.However, the root of mean square errors for calibration, cross and external validation (RMSEE、RMSECV and RMSEP)were below 1 (ranged 0.30.7), respectively. It has been demonstrated that it is feasible to use NIRS as a rapid, accurate, andnone-destructive technique to predict protein and starch contents of whole kernel in maize quality improvement program.
Publication Year: 2004
Publication Date: 2004-01-01
Language: en
Type: article
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Cited By Count: 1
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