TY - GEN
T1 - Machine learning approach to study the effect of oxidation in edible almond oils using combined spectroscopy and principal component analysis
AU - Raju, Gagan
AU - Banik, Soumyabrata
AU - Melanthota, Sindhoora Kaniyala
AU - Baycerova, Yana
AU - Kistenev, Yury
AU - Mazumder, Nirmal
N1 - Funding Information:
We thank Indian Council of Medical Research ICMR (Project No.: 5/3/8/60/2020-ITR), Govt. of India, India for funding. We thank Manipal Academy of Higher Education (MAHE), Manipal School of Life Sciences, Manipal, Karnataka, India for providing infrastructure and facilities.
Publisher Copyright:
© 2022 The Author(s)
PY - 2022
Y1 - 2022
N2 - Oxidative deterioration of edible oils makes it unfit for consumption and poses several serious health hazards on mankind. Present study employs PCA based machine learning along with spectroscopy to investigate the effect of oxidation on edible oils.
AB - Oxidative deterioration of edible oils makes it unfit for consumption and poses several serious health hazards on mankind. Present study employs PCA based machine learning along with spectroscopy to investigate the effect of oxidation on edible oils.
UR - http://www.scopus.com/inward/record.url?scp=85146801409&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:85146801409
T3 - Optics InfoBase Conference Papers
BT - Frontiers in Optics, FiO 2022
PB - Optica Publishing Group (formerly OSA)
T2 - Frontiers in Optics, FiO 2022
Y2 - 17 October 2022 through 20 October 2022
ER -