Intelligent Recommendation Systems Powered by Consensus Neural Networks: The Ultimate Solution for Finding Suitable Chiral Chromatographic Systems?-Reference-Cited by-同舟云学术

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Intelligent Recommendation Systems Powered by Consensus Neural Networks: The Ultimate Solution for Finding Suitable Chiral Chromatographic Systems?

Published:2024-07-10 Issue:29 Volume:96 Page:12205-12212
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Sagrado Salvador¹²^ORCID,Pardo-Cortina Carlos¹^ORCID,Escuder-Gilabert Laura¹^ORCID,Medina-Hernández María José¹^ORCID,Martín-Biosca Yolanda¹^ORCID

Affiliation:

1. Departamento de Química Analítica, Universitat de València, Burjassot, E- 46100 Valencia, Spain

2. Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Universitat de València, E-46100 Valencia, Spain

Funder

Universitat de Val?ncia

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.4c02656

Reference39 articles.

1. Chiral chromatography method screening strategies: Past, present and future

2. Chiral recognition in separation sciences. Part I: Polysaccharide and cyclodextrin selectors

3. Effect of the solute molecular structure on its enantioresolution on cellulose tris(3,5-dimethylphenylcarbamate)☆

4. Enantioseparation of novel anti-inflammatory chiral sulfoxides with two cellulose dichlorophenylcarbamate-based chiral stationary phases and polar-organic mobile phase(s)

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