Innovative approaches to suppress non-specific adsorption in molecularly imprinted polymers for sensing applications

分子印迹聚合物 吸附 溴化铵 十二烷基硫酸钠 化学 选择性 检出限 聚合物 组合化学 朗缪尔吸附模型 分子识别 分子 色谱法 选择性吸附 化学工程 肺表面活性物质 有机化学 催化作用 工程类 生物化学
作者
Abdelhafid Karrat,Aziz Amine
出处
期刊:Biosensors and Bioelectronics [Elsevier]
卷期号:250: 116053-116053 被引量:3
标识
DOI:10.1016/j.bios.2024.116053
摘要

Molecularly imprinted polymers (MIPs) are synthetic antibodies developed to bind selectively with specific molecules. They function through a particular recognition process involving their cavities and functional groups. Nevertheless, functional groups located outside these cavities are the main cause of can cause non-specific molecule binding thus reducing the effectiveness of MIPs in sensing applications. This work focused on enhancing the selectivity and performance of MIPs through electrostatic modification with surfactants. The study investigates the use of two surfactants, namely sodium dodecyl sulfate (SDS) and cetyl trimethyl ammonium bromide (CTAB), to eliminate non-specific adsorption in MIPs. The binding isotherms of the target molecule sulfamethoxazole (SMX) on MIPs and non-imprinted polymers (NIPs) were analyzed, showing higher adsorption capacity of MIPs due to the specific cavities. The modification with SDS or CTAB effectively eliminated non-specific adsorption in MIPs. The kinetic adsorption behavior further demonstrated the efficacy of MIP+--SDS/CTAB in the selective adsorption of SMX. Calibration curves showcase the methodology's analytical capabilities, achieving low limit of detection for SMX 6 ng.mL−1 using MIP + -SDS. The stability study confirmed that the developed MIP + --SDS/CTAB remains stable even at high temperatures, demonstrating its suitability for on-site applications. The methodology was successfully applied to detect SMX in milk and water samples, achieving promising recoveries. Overall, the electrostatic modification of MIPs with surfactants emerges as a valuable strategy for enhancing selectivity and performance in target molecule recognition and detection.
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