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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...
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| Опубликовано в: : | Int J Mol Sci |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6678770/ https://ncbi.nlm.nih.gov/pubmed/31336981 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms20143443 |
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