Detection of Adulteration in Edible Oil Using FT-IR Spectroscopy and Machine Learning
S. A. Antora, M. N. Hossain, M. M. Rahman, M. A. Alim & M. Kamruzzaman · International Journal of Biochemistry Research & Review · 2019
Aims: To detect the adulterant in edible oil rapidly. Study Design: Authenticity and adulteration detection in edible oils are the increasing challenges for researchers, consumers, industries and regulatory agencies. Traditional approaches may not be the most effective option to...