Machine learning-driven Raman spectroscopy for rapidly detecting type, adulteration, and oxidation of edible oils

Hefei Zhao; Yinglun Zhan; Zheng Xu; Joshua John Nduwamungu; Yuzhen Zhou; Changmou Xu

doi:10.21748/inform.04.2020.12

Machine learning-driven Raman spectroscopy for rapidly detecting type, adulteration, and oxidation of edible oils

Hefei Zhao, Yinglun Zhan, Zheng Xu, Joshua John Nduwamungu, Yuzhen Zhou, Changmou Xu

Research output: Contribution to journal › Comment/debate › peer-review

Original language	English (US)
Pages (from-to)	12-15
Number of pages	4
Journal	INFORM
Volume	31
Issue number	4
DOIs	https://doi.org/10.21748/inform.04.2020.12
State	Published - Apr 2020
Externally published	Yes

ASJC Scopus subject areas

Food Science
Biotechnology
General Chemistry

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10.21748/inform.04.2020.12

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title = "Machine learning-driven Raman spectroscopy for rapidly detecting type, adulteration, and oxidation of edible oils",

author = "Hefei Zhao and Yinglun Zhan and Zheng Xu and Nduwamungu, {Joshua John} and Yuzhen Zhou and Changmou Xu",

year = "2020",

month = apr,

doi = "10.21748/inform.04.2020.12",

language = "English (US)",

volume = "31",

pages = "12--15",

journal = "INFORM",

issn = "1528-9303",

publisher = "American Oil Chemists' Society",

number = "4",

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AU - Zhao, Hefei

AU - Zhan, Yinglun

AU - Xu, Zheng

AU - Nduwamungu, Joshua John

AU - Zhou, Yuzhen

AU - Xu, Changmou

PY - 2020/4

Y1 - 2020/4

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U2 - 10.21748/inform.04.2020.12

DO - 10.21748/inform.04.2020.12

M3 - Comment/debate

AN - SCOPUS:85083972301

SN - 1528-9303

VL - 31

SP - 12

EP - 15

JO - INFORM

JF - INFORM

IS - 4

ER -

Machine learning-driven Raman spectroscopy for rapidly detecting type, adulteration, and oxidation of edible oils

ASJC Scopus subject areas

Online availability

Library availability

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