Hassan Riyadh Abdulmalek, Abu Hanifah Sharina, Heng Lee Yook
Department of Chemical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, 43600, Selangor, Malaysia; Department of Chemistry, Faculty of Science, Ibb University, Ibb, Republic of Yemen.
Department of Chemical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, 43600, Selangor, Malaysia.
Talanta. 2025 May 15;287:127592. doi: 10.1016/j.talanta.2025.127592. Epub 2025 Jan 13.
The scientific literature on molecularly imprinted polymers (MIPs) has grown significantly in the past decades, reflecting an increasing interest in their potential applications. MIPs are valued for their ability to selectively detect a broad range of analytes and mimic biological recognition in different environmental conditions. This review utilises data (Scopus data from 2010 to 2024) from a bibliometric visualisation with VOSviewer (version 1.6.2) to identify trends and research hotspots in developing MIP-based sensors. The findings from this review indicated notable advancements in molecular imprinting technology (MIT) and the challenges MIP technology faces. It also discusses how various optimisation preparation techniques can be used to overcome the inherent limitations of MIP synthesis. The review also presents a case investigation and suggests classifying MIPs as chemosensors (chemical sensors) rather than biosensors to resolve the confusion and classification difficulties encountered in the existing literature on MIP sensors. It also addresses critical issues regarding the paradoxical lack of MIP-based sensors in the commercial market despite a marked increase in scientific output. The review outlines future research directions to enhance MIP sensor technology further. It emphasises the need for more collaboration between academia and industry to bridge existing gaps and accelerate commercialisation.
在过去几十年中，关于分子印迹聚合物（MIPs）的科学文献显著增加，这反映出人们对其潜在应用的兴趣日益浓厚。MIPs因其能够选择性检测多种分析物并在不同环境条件下模拟生物识别而受到重视。本综述利用VOSviewer（1.6.2版）的文献计量可视化数据（2010年至2024年的Scopus数据），以确定基于MIP的传感器开发中的趋势和研究热点。该综述的结果表明了分子印迹技术（MIT）的显著进展以及MIP技术面临的挑战。它还讨论了如何使用各种优化制备技术来克服MIP合成的固有局限性。该综述还进行了案例研究，并建议将MIPs归类为化学传感器而非生物传感器，以解决现有MIP传感器文献中遇到的混淆和分类困难。它还解决了一个关键问题，即尽管科学产出显著增加，但商业市场上基于MIP的传感器却反常地短缺。该综述概述了进一步提升MIP传感器技术的未来研究方向。它强调学术界和产业界需要加强合作，以弥合现有差距并加速商业化。
