Compressed chromatographic fingerprint of Artemisiae argyi Folium empowered by 1D-CNN: Reduce mobile phase consumption using chemometric algorithm.

Journal: Journal of chromatography. A

PMID: 40101658

Abstract

INTRODUCTION: High-Performance Liquid Chromatography (HPLC) is widely used for its high sensitivity, stability, and accuracy. Nonetheless, it often involves lengthy analysis times and considerable solvent consumption, especially when dealing with complex systems and quality control, posing challenges to green and eco-friendly analytical practices.

Authors

Wennan Nie

College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, PR China.
Jiahe Qian

College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Cunhao Li

College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Shule Zhang

College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Wenlong Li

Institute of Clinical Pharmacology, Qilu Hospital, Shandong University, Jinan, China.

Keywords

Algorithms Artemisia Chemometrics Chromatography, High Pressure Liquid Drugs, Chinese Herbal Neural Networks, Computer Reproducibility of Results

External Resources

View on PubMed Access via DOI PubMed (40101658)

Compressed chromatographic fingerprint of Artemisiae argyi Folium empowered by 1D-CNN: Reduce mobile phase consumption using chemometric algorithm.

Abstract

Authors

Keywords

External Resources

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