College of Agriculture and Bioresources, The University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada; College of Life Science and Technology, Southwest Minzu University, Chengdu, Sichuan 610041, China; College of Life Science and Engineering, Foshan University, Guangdong, China.
College of Agriculture and Bioresources, The University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Food Chem. 2019 Jan 30;272:507-513. doi: 10.1016/j.foodchem.2018.08.075. Epub 2018 Aug 18.
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 (R = 0.98); the best MIR model also gave an excellent prediction performance (R = 0.96). Regarding to IPD, the best model obtained by NIR technique showed approximate quantitative predictive ability (R = 0.68), and the best model generated by MIR technique obtained similar prediction performance (R = 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.
评估了近红外（NIR）和傅里叶变换中红外（ATR-FT/MIR）光谱法在测定小麦肠道粗蛋白（CP）消化率（IPD）方面的潜力。对于 CP，最佳的近红外模型显示出优异的预测性能（R=0.98）；最佳的 MIR 模型也给出了优异的预测性能（R=0.96）。关于 IPD，通过 NIR 技术获得的最佳模型显示出近似定量预测能力（R=0.68），而通过 MIR 技术生成的最佳模型获得了相似的预测性能（R=0.67）。NIR 模型通常显示出比 MIR 模型更好的预测能力，这可能是由于 MIR 光谱记录基本分子振动，并且更容易受到多种干扰的影响。酰胺 I 和 II 带在 CP 和 IPD 的 PLS 模型的发展中发挥了重要作用。本研究结果表明，IR 光谱法在预测营养物质消化率方面具有潜力，但需要进一步努力来提高 NIR 和 ATR-FT/MIR 光谱在预测小麦 IPD 方面的性能。
