Separation of coeluted compounds in capillary gas chromatography: customization via machine learning retention time prediction.

AlAdwan HN, Alkhater MF, Shakhmanov T, Drmosh QA, Suleiman RK, Alsayoud A

Open source

DOI
10.1007/s00216-026-06756-z
Published
2026 Aug 26
Container
Analytical and bioanalytical chemistry
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s00216-026-06756-z,
  title = {Separation of coeluted compounds in capillary gas chromatography: customization via machine learning retention time prediction.},
  author = {AlAdwan HN and Alkhater MF and Shakhmanov T and Drmosh QA and Suleiman RK and Alsayoud A},
  year = {2026},
  journal = {Analytical and bioanalytical chemistry},
  doi = {10.1007/s00216-026-06756-z},
  url = {https://doi.org/10.1007/s00216-026-06756-z}
}

RIS

TY  - JOUR
TI  - Separation of coeluted compounds in capillary gas chromatography: customization via machine learning retention time prediction.
AU  - AlAdwan HN
AU  - Alkhater MF
AU  - Shakhmanov T
AU  - Drmosh QA
AU  - Suleiman RK
AU  - Alsayoud A
PY  - 2026
JO  - Analytical and bioanalytical chemistry
DO  - 10.1007/s00216-026-06756-z
UR  - https://doi.org/10.1007/s00216-026-06756-z
ER  - 

APA

HN, A., MF, A., T, S., QA, D., RK, S., & A, A. (2026). Separation of coeluted compounds in capillary gas chromatography: customization via machine learning retention time prediction.. Analytical and bioanalytical chemistry. https://doi.org/10.1007/s00216-026-06756-z

Source records