Machine Learning‐Assisted Headspace Gas Chromatography Ion Mobility Spectrometry for Characterization and Geographical Authentication of Perillae Folium

Chenyu Wang, Xinyu Yue, Ruizi Shan, Hongjing Dong, Shuang Liu

Open source

DOI: 10.1002/jssc.70525
Published: 2026-09
Container: Journal of Separation Science
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/jssc.70525,
  title = {Machine Learning‐Assisted Headspace Gas Chromatography Ion Mobility Spectrometry for Characterization and Geographical Authentication of Perillae Folium},
  author = {Chenyu Wang and Xinyu Yue and Ruizi Shan and Hongjing Dong and Shuang Liu},
  year = {2026},
  journal = {Journal of Separation Science},
  doi = {10.1002/jssc.70525},
  url = {https://doi.org/10.1002/jssc.70525}
}

RIS

TY  - JOUR
TI  - Machine Learning‐Assisted Headspace Gas Chromatography Ion Mobility Spectrometry for Characterization and Geographical Authentication of Perillae Folium
AU  - Chenyu Wang
AU  - Xinyu Yue
AU  - Ruizi Shan
AU  - Hongjing Dong
AU  - Shuang Liu
PY  - 2026
JO  - Journal of Separation Science
DO  - 10.1002/jssc.70525
UR  - https://doi.org/10.1002/jssc.70525
ER  -

APA

Wang, C., Yue, X., Shan, R., Dong, H., & Liu, S. (2026). Machine Learning‐Assisted Headspace Gas Chromatography Ion Mobility Spectrometry for Characterization and Geographical Authentication of Perillae Folium. Journal of Separation Science. https://doi.org/10.1002/jssc.70525

Source records

crossref · retrieved 2026-09-24T23:23:19.832Z