In-depth analysis of the characteristics of volatile organic compounds in wines: a systematic study integrating intelligent sensory and metabolomics techniques with chemometrics and machine learning models.

Xie R, Liu J, Li Y, Chen Y, Shen T, Xu M, Ju Y, Fang Y, Zhang Z

Open source

DOI
10.1016/j.fochx.2025.103082
Published
2025 Oct
Container
Food chemistry: X
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.fochx.2025.103082,
  title = {In-depth analysis of the characteristics of volatile organic compounds in wines: a systematic study integrating intelligent sensory and metabolomics techniques with chemometrics and machine learning models.},
  author = {Xie R and Liu J and Li Y and Chen Y and Shen T and Xu M and Ju Y and Fang Y and Zhang Z},
  year = {2025},
  journal = {Food chemistry: X},
  doi = {10.1016/j.fochx.2025.103082},
  url = {https://doi.org/10.1016/j.fochx.2025.103082}
}

RIS

TY  - JOUR
TI  - In-depth analysis of the characteristics of volatile organic compounds in wines: a systematic study integrating intelligent sensory and metabolomics techniques with chemometrics and machine learning models.
AU  - Xie R
AU  - Liu J
AU  - Li Y
AU  - Chen Y
AU  - Shen T
AU  - Xu M
AU  - Ju Y
AU  - Fang Y
AU  - Zhang Z
PY  - 2025
JO  - Food chemistry: X
DO  - 10.1016/j.fochx.2025.103082
UR  - https://doi.org/10.1016/j.fochx.2025.103082
ER  - 

APA

R, X., J, L., Y, L., Y, C., T, S., M, X., Y, J., Y, F., & Z, Z. (2025). In-depth analysis of the characteristics of volatile organic compounds in wines: a systematic study integrating intelligent sensory and metabolomics techniques with chemometrics and machine learning models.. Food chemistry: X. https://doi.org/10.1016/j.fochx.2025.103082

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