Multi-scale benchtop H-1 NMR spectroscopy for milk analysis


Soyler A., Cikrikci S., Cavdaroglu C., Bouillaud D., Farjon J., Giraudeau P., ...More

LWT-FOOD SCIENCE AND TECHNOLOGY, vol.139, 2021 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 139
  • Publication Date: 2021
  • Doi Number: 10.1016/j.lwt.2020.110557
  • Journal Name: LWT-FOOD SCIENCE AND TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded, Scopus, Academic Search Premier, PASCAL, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Food Science & Technology Abstracts, Veterinary Science Database
  • Keywords: Benchtop NMR spectroscopy, Milk, Lactose hydrolysis, Classification, Flow NMR, Artificial neural network (ANN), NMR-SPECTROSCOPY, NEURAL-NETWORK, LACTOSE, GLYCEROL, MEAT

Abstract

Benchtop NMR systems offers various advantages such as being easy to use, not requiring constant maintenance and being available at affordable prices. In this study, multiple aspects of benchtop NMR spectroscopy were explored to analyze milk in an industrial context, either regarding the quality of production or regarding the differentiation of the final product. The first part focuses on the production conditions of lactose hydrolysis in milk and quantitative online NMR spectroscopy was adapted to follow lactose hydrolysis in milk in continuous flow mode. The second part focuses on differentiating milk samples having different properties. 36 milk samples from France and Turkey were analysed and glycerol, fat and sugar contents were measured from the NMR spectra. Combination of spectroscopic data with a proposed Artificial Neural Network model enabled to classify milk of different origins and different properties. This study shows that benchtop NMR spectroscopy is a versatile non-destructive control method that can help controlling milk quality both during and after production.