AI-assisted sustainable pharmaceutical bioanalysis: critical review of LC-MS, matrix effects, and white analytical chemistry.
- DOI
- 10.1039/d6ay01554a
- Published
- 2026 Sep 8
- Container
- Analytical methods : advancing methods and applications
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1039/d6ay01554a,
title = {AI-assisted sustainable pharmaceutical bioanalysis: critical review of LC-MS, matrix effects, and white analytical chemistry.},
author = {Barzani HAH and Omer RA and Barzani KIS and Othman HO and Noaman AS and Issa KD and Sulaiman SH},
year = {2026},
journal = {Analytical methods : advancing methods and applications},
doi = {10.1039/d6ay01554a},
url = {https://doi.org/10.1039/d6ay01554a}
}RIS
TY - JOUR TI - AI-assisted sustainable pharmaceutical bioanalysis: critical review of LC-MS, matrix effects, and white analytical chemistry. AU - Barzani HAH AU - Omer RA AU - Barzani KIS AU - Othman HO AU - Noaman AS AU - Issa KD AU - Sulaiman SH PY - 2026 JO - Analytical methods : advancing methods and applications DO - 10.1039/d6ay01554a UR - https://doi.org/10.1039/d6ay01554a ER -
APA
HAH, B., RA, O., KIS, B., HO, O., AS, N., KD, I., & SH, S. (2026). AI-assisted sustainable pharmaceutical bioanalysis: critical review of LC-MS, matrix effects, and white analytical chemistry.. Analytical methods : advancing methods and applications. https://doi.org/10.1039/d6ay01554a
Source records
- pubmed · retrieved 2026-09-25T12:56:59.332Z
- europe-pmc · retrieved 2026-09-25T12:56:59.348Z