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Research Paper | Synapse
March 3, 2026
Open Access
Rapid detection of milk adulteration using AI-driven portable colorimetric spectroscopy
AS
Arun Sharma
National Institute of Food Technology Entrepreneurship and Management
MY
Malay Yadav
Tata Consultancy Services (India)
NK
Nishant Kumar
Amity University
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Key Points
Effective detection of milk adulteration enhances food safety, using AI-driven methods.
Precision of colorimetric spectroscopy allows for quick and portable testing solutions, achieving reliable results.
Portable detection technology streamlines the process of identifying impurities in milk samples, improving consumer confidence.
This advancement may enable broader applications across food quality assurance, strengthening regulatory frameworks.
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Sharma et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75f04c6e9836116a2a19d
https://doi.org/https://doi.org/10.1007/s44187-026-00855-7