Applying machine learning on high-performance thin-layer chromatography using the complementary developing solvents concept-Reference-Cited by-同舟云学术

Applying machine learning on high-performance thin-layer chromatography using the complementary developing solvents concept

Published:2023-11-24 Issue: Volume: Page:1-7
ISSN:1082-6076
Container-title:Journal of Liquid Chromatography & Related Technologies
language:en
Short-container-title:Journal of Liquid Chromatography & Related Technologies

Author:

Do Thi Kieu Tiên¹^ORCID,Trettin Ilona¹,Hänni Mona¹,Reich Eike¹

Affiliation:

1. CAMAG Laboratory, Muttenz, Switzerland

Publisher

Informa UK Limited

Subject

Clinical Biochemistry,Pharmaceutical Science,Biochemistry,Analytical Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10826076.2023.2284707

Reference12 articles.

1. Geiss, F. Fundamentals of Thin Layer Chromatography (Planar Chromatography); Hüthig: Heidelberg, 1987.

2. High-throughput discovery of chemical structure-polarity relationships combining automation and machine-learning techniques

3. European Pharmacopoeia. General Chapter 2.8.25, European Pharmacopeia 10.6; Council of Europe: Strasbourg, 2020.

4. U.S. Pharmacopeia. General Chapter< 203>, United States Pharmacopeia, USP 39–NF 34 Second Supplement; US Pharmacopeial Convention: Rockville, 2016.

5. Development of the first universal mixture for use in system suitability tests for High-Performance Thin Layer Chromatography

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