LC-HRMS Known- and Unknown-Feature Prioritization Based on Machine-Learning-Predicted Ready Biodegradability
- DOI
- 10.1021/acs.analchem.6c02844
- Published
- 2026-09-23
- Container
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.analchem.6c02844,
title = {LC-HRMS Known-
and Unknown-Feature Prioritization
Based on Machine-Learning-Predicted Ready Biodegradability},
author = {Tobias Hulleman and Saer Samanipour and Viktoriia Turkina and Jinglong Li and Cassandra Rauert and Elvis D. Okoffo and Kevin V. Thomas and Jake W. O’Brien},
year = {2026},
journal = {Analytical Chemistry},
doi = {10.1021/acs.analchem.6c02844},
url = {https://doi.org/10.1021/acs.analchem.6c02844}
}RIS
TY - JOUR TI - LC-HRMS Known- and Unknown-Feature Prioritization Based on Machine-Learning-Predicted Ready Biodegradability AU - Tobias Hulleman AU - Saer Samanipour AU - Viktoriia Turkina AU - Jinglong Li AU - Cassandra Rauert AU - Elvis D. Okoffo AU - Kevin V. Thomas AU - Jake W. O’Brien PY - 2026 JO - Analytical Chemistry DO - 10.1021/acs.analchem.6c02844 UR - https://doi.org/10.1021/acs.analchem.6c02844 ER -
APA
Hulleman, T., Samanipour, S., Turkina, V., Li, J., Rauert, C., Okoffo, E. D., Thomas, K. V., & O’Brien, J. W. (2026). LC-HRMS Known- and Unknown-Feature Prioritization Based on Machine-Learning-Predicted Ready Biodegradability. Analytical Chemistry. https://doi.org/10.1021/acs.analchem.6c02844
Source records
- crossref · retrieved 2026-11-08T15:34:16.206Z