Work

Real-time prediction of shelf-life of soymilk using a surface-enhanced Raman spectroscopy (SERS) fiber and convolutional neural networks

Year: 2025

Type: article

Abstract: This study combines SERS headspace analysis and machine learning to predict shelf life in real-time.

Source: Sustainable Food Technology

DOI: 10.1039/d5fb00423c

Authors: Bezalel Adainoo, Zili Gao, Lili He

Institution: University of Massachusetts Amherst

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: diamond

Funders: U.S. Department of Agriculture, National Institute of Food and Agriculture

Awards: G4620328523, G5761329796

OpenAlex ID: W7115690707

FWCI: 0.368

Cites: 39

Cited by: 1

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