Efficient Quantification of Milk Metabolites from ¹H NMR Spectra Using the Signature Mapping (SigMa) Approach:...

Area of Science:

• Analytical Chemistry
• Metabolomics
• Veterinary Science

Background:

• Cow milk analysis is crucial for human nutrition and animal health monitoring.
• Fourier transform infrared spectroscopy provides bulk composition but limited metabolite information.
• Proton (¹H) NMR spectroscopy offers higher sensitivity for detailed milk metabolome analysis.

Purpose of the Study:

• To develop a standardized, reproducible methodology for analyzing the milk metabolome using ¹H NMR spectroscopy.
• To create a comprehensive chemical shift library for milk metabolites.
• To implement and validate a spectral analysis tool for quantitative metabolome data.

Main Methods:

• Development of standard operating procedures for milk ¹H NMR spectral screening.
• Creation of a chemical shift library containing 63 milk metabolites.
• Implementation of the Signature Mapping (SigMa) software for spectral data analysis.
• Testing the methodology on various milk types (whole, skim, ultrafiltered) and colostrum samples.

Main Results:

• A reproducible methodology for milk metabolome screening using ¹H NMR was established.
• The SigMa software, coupled with a 63-metabolite library, effectively transforms ¹H NMR spectra into quantitative data.
• The method demonstrated applicability across different milk matrices and was tested on 88 ultrafiltered colostrum samples.

Conclusions:

• The developed ¹H NMR-based methodology provides efficient and reproducible quantification of milk metabolites.
• This approach enables enhanced monitoring of cow health and milk quality.
• Metabolic profiling of colostrum may serve as an indicator of the dairy cow's metabolic status.