Evaluation of near-infrared (NIR) and Fourier transform mid-infrared (ATR-FT/MIR) spectroscopy techniques combined with chemometrics for the determination of crude protein and intestinal protein digestibility of wheat

•NIR and MIR techniques showed excellent performance in predicting crude protein.•Models for protein digestibility can achieve approximate quantitative prediction.•Spectral preprocessing and wavelengths can affect the performance of models.•Amide I is more important than amide II in predicting prote...

Full description

Saved in:
Bibliographic Details
Published in:Food chemistry 2019-01, Vol.272, p.507-513
Main Authors: Shi, Haitao, Lei, Yaogeng, Louzada Prates, Luciana, Yu, Peiqiang
Format: Article
Language:English
Subjects:
Infrared spectroscopy
Least-Squares Analysis
Plant Proteins - chemistry
Protein digestibility
Spectral preprocess
Spectroscopy, Fourier Transform Infrared
Spectroscopy, Near-Infrared
Triticum - metabolism
Wavelength selection
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•NIR and MIR techniques showed excellent performance in predicting crude protein.•Models for protein digestibility can achieve approximate quantitative prediction.•Spectral preprocessing and wavelengths can affect the performance of models.•Amide I is more important than amide II in predicting protein digestibility. 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 (R2 = 0.98); the best MIR model also gave an excellent prediction performance (R2 = 0.96). Regarding to IPD, the best model obtained by NIR technique showed approximate quantitative predictive ability (R2 = 0.68), and the best model generated by MIR technique obtained similar prediction performance (R2 = 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.
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2018.08.075