D2.2 - Quality assessment of raw fresh milk from several sources by no-destructive Raman sensor
- Event
- SMSI 2025
2025-05-06 - 2025-05-08
Nürnberg - Band
- Lectures
- Chapter
- D2 - Sensors for Agrifood Quality
- Author(s)
- I. Petrignani, S. Almaviva, A. Lai - ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Frascati (Italy)
- Pages
- 190 - 191
- DOI
- 10.5162/SMSI2025/D2.2
- ISBN
- 978-3-910600-06-5
- Price
- free
Abstract
Raman spectroscopy has emerged as a powerful, non-destructive tool for assessing the quality and authenticity of dairy products, particularly fresh milk from a variety of sources. By producing detailed molecular 'fingerprints' in the 200-2000 cm-¹ range, Raman spectroscopy enables rapid identification of milk composition and detection of potential adulterants, offering significant advantages such as faster analysis times, reduced costs and minimal sample preparation. Combined with multivariate sta-tistical analysis, Raman spectroscopy offers a promising solution for authenticating milk and ensuring quality control throughout the dairy supply chain. In this study, Raman spectra of different milk types (cow, sheep) were collected and compared, revealing unique and common spectral features related to their composition. Although not aimed at detecting adulteration, this analysis highlights the potential of Raman spectroscopy as a tool for differentiating milk types based on their spectral characteristics, suggesting a potential application in milk quality control.