Mansouri Sofiene
Department of Biomedical Technology, College of Applied Medical Sciences, Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabiain.
Laboratory of Biophysics and Medical Technologies, University of Tunis El Manar, Higher Institute of Medical Technologies of Tunis, Tunis, Tunisia.
Crit Rev Anal Chem. 2024 May 16:1-16. doi: 10.1080/10408347.2024.2351826.
Biosensors are being studied extensively for their ability to detect and analyze molecules. There has been a growing interest in combining molecular imprinted polymers (MIPs) and aptamers to create hybrid recognition elements that offer advantages such as target binding, sensitivity, selectivity, and stability. These hybrid elements have been successfully used in identifying a wide range of analytes in food samples. However, the application of MIP-based aptasensors in different sensing approaches is still challenging due to the low conductivity of MIPs-aptamers and limited adsorption capacity of MIPs. To address these limitations, researchers have been exploring the use of nanomaterials (NMs) to design efficient multiple-recognition systems that exploit the synergies between aptamers and MIPs. These hybrid systems can enhance the sensitivity and selectivity of MIP-based aptasensors in quantifying analytical samples. This review provides a comprehensive overview of recent advancements in the field of MIP-based aptasensors. It also introduces technologies that combine MIPs and aptamers to achieve higher sensitivity and selectivity in quantifying analytical samples. The review also highlights potential future trends and practical approaches that can be employed to address the limitations of MIP-based aptasensors, including the use of new NMs, the development of new fabrication techniques, and the integration of MIP-based aptasensors with other analytical tools.
生物传感器因其检测和分析分子的能力而受到广泛研究。将分子印迹聚合物（MIP）和适配体结合以创建具有诸如靶标结合、灵敏度、选择性和稳定性等优势的混合识别元件的兴趣与日俱增。这些混合元件已成功用于识别食品样品中的多种分析物。然而，由于MIP-适配体的低导电性以及MIP的有限吸附能力，基于MIP的适配体传感器在不同传感方法中的应用仍然具有挑战性。为了解决这些限制，研究人员一直在探索使用纳米材料（NM）来设计高效的多重识别系统，该系统利用适配体和MIP之间的协同作用。这些混合系统可以提高基于MIP的适配体传感器在定量分析样品中的灵敏度和选择性。本综述全面概述了基于MIP的适配体传感器领域的最新进展。它还介绍了结合MIP和适配体以在定量分析样品中实现更高灵敏度和选择性的技术。该综述还强调了可用于解决基于MIP的适配体传感器局限性的潜在未来趋势和实际方法，包括使用新型纳米材料、开发新的制造技术以及将基于MIP的适配体传感器与其他分析工具集成。
