Identifying Key Odorant Compounds and Assessing Odor Additivity in Complex Mixtures via Machine Learning: A Multi-Regional Case Study in China
- DOI
- 10.1016/j.envpol.2026.129461
- Published
- 2026-11
- Container
- Environmental Pollution
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.envpol.2026.129461,
title = {Identifying Key Odorant Compounds and Assessing Odor Additivity in Complex Mixtures via Machine Learning: A Multi-Regional Case Study in China},
author = {Xi Chen and Long Wang and Jianjun Liu and Hao Han and Jiarui Zhang and Weihang Shen and Cheng Wu and Han Liao and Chen Yu and Yaxi Liu and Mei Li},
year = {2026},
journal = {Environmental Pollution},
doi = {10.1016/j.envpol.2026.129461},
url = {https://doi.org/10.1016/j.envpol.2026.129461}
}RIS
TY - JOUR TI - Identifying Key Odorant Compounds and Assessing Odor Additivity in Complex Mixtures via Machine Learning: A Multi-Regional Case Study in China AU - Xi Chen AU - Long Wang AU - Jianjun Liu AU - Hao Han AU - Jiarui Zhang AU - Weihang Shen AU - Cheng Wu AU - Han Liao AU - Chen Yu AU - Yaxi Liu AU - Mei Li PY - 2026 JO - Environmental Pollution DO - 10.1016/j.envpol.2026.129461 UR - https://doi.org/10.1016/j.envpol.2026.129461 ER -
APA
Chen, X., Wang, L., Liu, J., Han, H., Zhang, J., Shen, W., Wu, C., Liao, H., Yu, C., Liu, Y., & Li, M. (2026). Identifying Key Odorant Compounds and Assessing Odor Additivity in Complex Mixtures via Machine Learning: A Multi-Regional Case Study in China. Environmental Pollution. https://doi.org/10.1016/j.envpol.2026.129461
Source records
- crossref · retrieved 2026-11-05T10:37:55.759Z