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...
Open access
Research Article
10.9734/ijbcrr/2019/v26i130085