A Review on Artificial Intelligence in High Performance Liquid Chromatography

Artificial Intelligence (AI) has emerged as a transformative force, revolutionizing fields such as analytical chemistry and HighPerformance Liquid Chromatography (HPLC). AI comprises computational methods that allow machines to simulate human intelligence, learn from data, and make autonomous decisions) (1) In HPLC, AI offers significant potential for enhancing analytical performance, improving workflows, and unlocking powerful new tools for data analysis. One of AI’s central roles in HPLC is automating data interpretation. Traditional chromatographic analysis depends heavily on manual review, which can be time-consuming and prone to errors)(2). Machine learning and deep learning algorithms can streamline tasks such as peak detection, integration, and compound identification, enabling faster, more accurate analysis of complex chromatographic data (3)