Automated Feature Mining for Two-Dimensional Liquid Chromatography Applied to Polymers Enabled by Mass Remainder Analysis

[Image: see text] A fast algorithm for automated feature mining of synthetic (industrial) homopolymers or perfectly alternating copolymers was developed. Comprehensive two-dimensional liquid chromatography–mass spectrometry data (LC × LC–MS) was utilized, undergoing four distinct parts within the al...

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Detalles Bibliográficos
Autores principales: Molenaar, Stef R.A., van de Put, Bram, Desport, Jessica S., Samanipour, Saer, Peters, Ron A.H., Pirok, Bob W.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008690/
https://www.ncbi.nlm.nih.gov/pubmed/35343683
http://dx.doi.org/10.1021/acs.analchem.1c05336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008690/
https://www.ncbi.nlm.nih.gov/pubmed/35343683
http://dx.doi.org/10.1021/acs.analchem.1c05336

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