Sensors and Biosensors Group, Department of Chemistry, Universitat Autònoma de Barcelona, Edifici Cn, 08193, Bellaterra, Barcelona, Spain.
Sensors and Biosensors Group, Department of Chemistry, Universitat Autònoma de Barcelona, Edifici Cn, 08193, Bellaterra, Barcelona, Spain.
Biosens Bioelectron. 2022 Feb 15;198:113807. doi: 10.1016/j.bios.2021.113807. Epub 2021 Nov 17.
The combination of chemometrics and electrochemical sensors modified with molecularly imprinted polymers (MIPs) towards the development of MIP-based electronic tongues (ETs) was explored herein. To demonstrate the potential of such an approach, the simultaneous determination of paracetamol, ascorbic acid and uric acid mixtures in pharmaceutical samples was evaluated. To this aim, MIP-based sensors for the different compounds were prepared by in situ electropolymerization of pyrrole in the presence of p-toluenesulfonate anion (pTS), which acted as functional doping ion of the polypyrrole (PPy) MIP backbone. Morphological characterization of the MIPs was done by scanning electron microscopy (SEM), while functionalization of the electrodes was monitored electrochemically. Under the optimized measuring conditions, the developed sensors showed a good performance, with good linearity at the μM level (R > 0.992, limits of detection between 1 and 24 μM) as well as good repeatability (intra- and inter-day RSD values between 3 and 6% over 30 consecutive measurements). Finally, the quantification of the individual substances in different pharmaceutical samples was achieved by an artificial neural networks (ANNs) model, showing satisfactory agreement between expected and obtained values (R > 0.987).
本文探索了将化学计量学与电化学传感器与分子印迹聚合物 (MIP) 结合,开发基于 MIP 的电子舌 (ET)。为了展示这种方法的潜力,评估了在药物样品中同时测定扑热息痛、抗坏血酸和尿酸混合物的方法。为此,通过在对甲苯磺酸阴离子 (pTS) 的存在下原位聚合吡咯,制备了用于不同化合物的基于 MIP 的传感器,pTS 作为聚吡咯 (PPy) MIP 主链的功能掺杂离子。通过扫描电子显微镜 (SEM) 对 MIP 进行了形态表征,同时通过电化学监测了电极的功能化。在优化的测量条件下,开发的传感器表现出良好的性能,在 μM 水平具有良好的线性(R>0.992,检测限在 1 至 24 μM 之间),并且具有良好的重复性(在 30 次连续测量中,日内和日间 RSD 值在 3%至 6%之间)。最后,通过人工神经网络 (ANN) 模型实现了不同药物样品中各物质的定量,预期值和获得值之间具有令人满意的一致性(R>0.987)。