Kim Minwoo, Park Daeil, Park Joohyung, Park Jinsung
Department of Biomechatronic Engineering, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Biomimetics (Basel). 2023 Jul 1;8(3):282. doi: 10.3390/biomimetics8030282.
This paper presents a comprehensive investigation of the various parameters involved in the fabrication of a molecularly imprinted polymer (MIP) sensor for the detection of cortisol. Parameters such as monomer concentration, electropolymerization cycles, pH, monomer-template ratio, template removal technique, and rebinding time were optimized to establish a more consistent and effective method for the fabrication of MIP sensors. Under the optimized conditions, the MIP sensor demonstrated a proportional decrease in differential pulse voltammetry peak currents with increasing cortisol concentration in the range of 0.1 to 100 nM. The sensor exhibited excellent sensitivity, with a limit of detection of 0.036 nM. Selectivity experiments using a non-imprinted polymer sensor confirmed the specific binding affinity of the MIP sensor for cortisol, distinguishing it from other steroid hormones. This study provides crucial insights into the development of a reliable and sensitive strategy for cortisol detection using O-PD-based MIPs. These findings laid the foundation for further advancements in MIP research.
本文对用于检测皮质醇的分子印迹聚合物(MIP)传感器制备过程中涉及的各种参数进行了全面研究。对诸如单体浓度、电聚合循环次数、pH值、单体与模板比例、模板去除技术和再结合时间等参数进行了优化,以建立一种更一致、有效的MIP传感器制备方法。在优化条件下,MIP传感器在0.1至100 nM范围内,随着皮质醇浓度增加,差分脉冲伏安法峰电流呈比例下降。该传感器表现出优异的灵敏度,检测限为0.036 nM。使用非印迹聚合物传感器进行的选择性实验证实了MIP传感器对皮质醇具有特异性结合亲和力,使其与其他甾体激素区分开来。本研究为使用基于邻苯二胺的MIPs开发可靠、灵敏的皮质醇检测策略提供了关键见解。这些发现为MIP研究的进一步发展奠定了基础。