Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11005633 | Food Chemistry | 2019 | 30 Pages |
Abstract
The potential of using the near-infrared (NIR) and Fourier transform mid-infrared (ATR-FT/MIR) spectroscopy for the determination of intestinal crude protein (CP) digestibility (IPD) of wheat was evaluated. For CP, the best NIR model showed an excellent prediction performance (R2â¯=â¯0.98); the best MIR model also gave an excellent prediction performance (R2â¯=â¯0.96). Regarding to IPD, the best model obtained by NIR technique showed approximate quantitative predictive ability (R2â¯=â¯0.68), and the best model generated by MIR technique obtained similar prediction performance (R2â¯=â¯0.67). NIR models generally showed better predictive abilities than MIR models, which may be due to the MIR spectra record fundamental molecular vibrations and can be more easily affected by multiple interferences. The amide I and II bands played important roles in the development of PLS models for CP and IPD. Results from this study demonstrated the potential of using IR spectroscopy for the prediction of nutrient digestibility while more efforts are required to improve the performance of NIR and ATR-FT/MIR spectroscopy in predicting the IPD of wheat.
Keywords
R2CIPDSEPRPDMIRSNVMSCRERSECVRMSEPRMSECVNIRSECPLSRMSECRCAPCAStandard normal variateWavelength selectionfirst derivativePrincipal component analysispartial least squareStandard error of predictionStandard error of calibrationstandard error of cross-validationroot mean square error of predictionRoot Mean Square Error of CalibrationRegression coefficientInfrared spectroscopyMid-infraredInfraredroot mean square error of cross-validationNear-infraredProtein digestibilitycrude protein
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Haitao Shi, Yaogeng Lei, Luciana Louzada Prates, Peiqiang Yu,