van den Hurk Rick S, Pirok Bob W J, Bos Tijmen S
Analytical Chemistry Group, Van't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands.
Centre for Analytical Sciences Amsterdam (CASA), Amsterdam, The Netherlands.
Chromatographia. 2025;88(5):357-363. doi: 10.1007/s10337-025-04406-7. Epub 2025 Apr 4.
The application of artificial intelligence (AI) and machine learning (ML) is rapidly expanding and has begun to make a significant impact on polymer development and characterization. This perspective article explores the current state of AI in this field and highlights areas where its potential remains underutilized. While the optimization of polymer synthesis to achieve desired properties and the classification of polymer types are well-established, opportunities for AI integration in detailed characterization, analytical method development, and data processing remain largely untapped. Greater automation of the analytical laboratory, whether through dedicated algorithms or AI-driven solutions, will enable analytical chemists to focus more on addressing research questions and interpreting results, rather than on method development and routine measurements.
人工智能(AI)和机器学习(ML)的应用正在迅速扩展,并已开始对聚合物的开发和表征产生重大影响。这篇观点文章探讨了该领域人工智能的现状,并强调了其潜力尚未得到充分利用的领域。虽然优化聚合物合成以实现所需性能以及聚合物类型的分类已经成熟,但在详细表征、分析方法开发和数据处理中整合人工智能的机会在很大程度上仍未被挖掘。无论是通过专用算法还是人工智能驱动的解决方案,提高分析实验室的自动化程度,将使分析化学家能够更多地专注于解决研究问题和解释结果,而不是方法开发和常规测量。