Unraveling the relationship between key aroma components and sensory properties of fragrant peanut oils based on flavoromics and machine learning.

Hu B, Zhang C, Chu B, Gu P, Zhu B, Qian W, Chang X, Yu M, Zhang Y, Wang X

Open source

DOI
10.1016/j.fochx.2023.100880
Published
2023 Dec 30
Container
Food chemistry: X
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.fochx.2023.100880,
  title = {Unraveling the relationship between key aroma components and sensory properties of fragrant peanut oils based on flavoromics and machine learning.},
  author = {Hu B and Zhang C and Chu B and Gu P and Zhu B and Qian W and Chang X and Yu M and Zhang Y and Wang X},
  year = {2023},
  journal = {Food chemistry: X},
  doi = {10.1016/j.fochx.2023.100880},
  url = {https://doi.org/10.1016/j.fochx.2023.100880}
}

RIS

TY  - JOUR
TI  - Unraveling the relationship between key aroma components and sensory properties of fragrant peanut oils based on flavoromics and machine learning.
AU  - Hu B
AU  - Zhang C
AU  - Chu B
AU  - Gu P
AU  - Zhu B
AU  - Qian W
AU  - Chang X
AU  - Yu M
AU  - Zhang Y
AU  - Wang X
PY  - 2023
JO  - Food chemistry: X
DO  - 10.1016/j.fochx.2023.100880
UR  - https://doi.org/10.1016/j.fochx.2023.100880
ER  -

APA

B, H., C, Z., B, C., P, G., B, Z., W, Q., X, C., M, Y., Y, Z., & X, W. (2023). Unraveling the relationship between key aroma components and sensory properties of fragrant peanut oils based on flavoromics and machine learning.. Food chemistry: X. https://doi.org/10.1016/j.fochx.2023.100880

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