Rapid Authentication of Plant-Based Milk Alternatives by Coupling Portable Raman Spectroscopy With Machine Learning
This study presents a novel method for rapid and nondestructive identification of the plant sources of PBMA (both unprocessed and processed) based on the Raman spectroscopic technique and machine learning algorithms.
Authors
- Yaxi Hu (ORCID: https://orcid.org/0000-0003-2192-7190)
- Jie Gao (ORCID: https://orcid.org/0000-0002-2296-907X)
- Hoang Le (ORCID: https://orcid.org/0000-0002-3532-4369)
- Tianqi Li (ORCID: https://orcid.org/0000-0002-6539-3285)
- Jimena G Villareal
Institutions
- Université Bourgogne Franche-Comté (FR)
- Carleton University (CA)
- Tecnológico de Monterrey (MX)
Publication Details
- Journal
- Journal of AOAC International
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1093/jaoacint/qsaf022
- Citations
- 1
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.75