On-Site Measurement of Fat and Protein Contents in Milk Using Mobile NMR Technology

Morten K. Sørensen*, Nicholas M. Balsgart, Michael Beyer, Ole N. Jensen, Niels Chr Nielsen*

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

5 Citations (Scopus)

Abstract

Robust and easy-to-use NMR sensor technology is proposed for accurate, on-site determination of fat and protein contents in milk. The two parameters are determined using fast consecutive1 H and35 Cl low-field NMR experiments on milk samples upon the 1:1 addition of a low-cost contrast solution. Reliable and accurate measurements are obtained without tedious calibrations and the need for extensive database information and may readily be conducted by non-experts in production site environments. This enables on-site application at farms or dairies, or use in laboratories harvesting significant reductions in costs and time per analysis as compared to wet-chemistry analysis. The performance is demonstrated for calibration samples, various supermarket milk products, and raw milk samples, of which some were analyzed directly in the milking room. To illustrate the wide application range, the supermarket milk products included both conventionally/organically produced, lactose-free milk, cow’s, sheep’s and goat’s milk, homogenized and unhomogenized milk, and a broad nutrient range (0.1–9% fat, 1–6% protein). Excellent agreement between NMR measurements and reference values, without corrections or changes in calibration for various products and during extensive periods of experiment conduction (4 months) demonstrates the robustness of the procedure and instrumentation. For the raw milk samples, correlations between NMR and IR, NMR and wetchemistry, as well as IR and wet-chemistry results, show that NMR, in terms of accuracy, compares favorably with the other methods.

Original languageEnglish
Article number583
JournalMolecules
Volume27
Issue3
Number of pages10
ISSN1420-3049
DOIs
Publication statusPublished - 18 Jan 2022

Keywords

  • Benchtop NMR
  • Contrast agent
  • Fat
  • Low-field NMR
  • Magnetic resonance
  • Milk
  • On-farm analysis
  • Protein
  • Quantification

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