As chromatography continues to evolve, emerging technologies like artificial intelligence (AI) and machine learning (ML) are poised to have big impacts on data analysis. In a forward-looking discussion, the founders of the International Women in Chromatography group; Jacqueline Hamilton, Caroline Gauchotte-Lindsay, and Diane Turner, delved into the trends that most excite them. From managing the immense complexity of environmental samples to rethinking fundamental approaches to data analysis, the potential is vast. Hamilton sees ML as a key to unlocking patterns in non-target analysis, while Gauchotte-Lindsay envisions a paradigm shift from analyzing individual compounds to viewing samples, and understanding how they are changing. However, this high-tech future comes with a critical caveat from Turner, who warns that advanced tools are useless without impeccable data quality. This balance between cutting-edge innovation and foundational analytical rigor defines the future of chromatography.

Read the full article here: The Future of Chromatography: AI, Data Quality, and Paradigm Shifts | LCGC International