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Quantitative Structure–Retention Relationships with Non-Linear Programming for Prediction of Chromatographic Elution Order
In this work, we employed a non-linear programming (NLP) approach via quantitative structure–retention relationships (QSRRs) modelling for prediction of elution order in reversed phase-liquid chromatography. With our rapid and efficient approach, error in prediction of retention time is sacrificed i...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678770/ https://www.ncbi.nlm.nih.gov/pubmed/31336981 http://dx.doi.org/10.3390/ijms20143443 |