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Quantifying Plant Soluble Protein and Digestible Carbohydrate Content, Using Corn (Zea mays) As an Exemplar
Published on: August 6, 2018
Development and validation of a spectroscopic method to predict wheat protein digestibility
L F Wang1, M L Swift, R T Zijlstra
1University of Alberta, Edmonton, AB, Canada.
This study introduces a rapid, non-destructive spectroscopic method to predict crude protein (CP) digestibility. Fourier transform mid-infrared (FTIR) spectroscopy accurately estimates apparent ileal digestibility (AID) of CP in wheat-based diets.
Area of Science:
- Animal Nutrition
- Analytical Chemistry
- Spectroscopy
Background:
- Traditional crude protein (CP) digestibility measurement relies on chemical analysis.
- Spectroscopy offers a rapid, non-destructive alternative for chemical information.
- Predicting CP digestibility using spectral data is a potential advancement.
Purpose of the Study:
- To develop and validate a spectroscopic method for predicting in vivo CP digestibility.
- To assess the accuracy of Fourier transform mid-infrared (FTIR) spectroscopy for CP digestibility prediction.
- To correlate spectral data with measured apparent ileal digestibility (AID) of CP.
Main Methods:
- Developed a spectroscopic method based on Beer's law.
- Scanned digesta and diet samples of wheat grain using FTIR spectroscopy.
- Calculated AID of CP from spectral peak intensities and marker concentrations.
- Compared predicted AID of CP with in vivo measurements.
Main Results:
- The FTIR method accurately predicted AID of CP in wheat-based diets with a deviation of 0.68 ± 0.86%.
- Predicted AID of CP ranged from 60.4% to 87.8%.
- Functional group digestibility, particularly the Amide I region (1,643 cm(-1)), strongly correlated with in vivo AID of CP (r ≥ 0.99).
Conclusions:
- CP digestibility can be accurately predicted directly from FTIR spectra.
- Spectroscopic analysis offers a faster and non-destructive alternative to traditional chemical analyses.
- This method holds potential for routine application in animal nutrition and feed analysis.
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