材料科学
分子印迹聚合物
循环伏安法
介电谱
傅里叶变换红外光谱
聚合
检出限
生物传感器
电化学气体传感器
电极
聚合物
化学工程
纳米技术
电化学
复合材料
有机化学
色谱法
化学
选择性
催化作用
工程类
物理化学
作者
Souradeep Roy,Shalini Nagabooshanam,Nidhi Chauhan,Ranjit Kumar,Shikha Wadhwa,Ashish Mathur
标识
DOI:10.1016/j.surfin.2021.101310
摘要
In this work, we report the development of a novel flexible electrochemical sensor based on molecular imprinting on over-oxidized poly-pyrrole, for monitoring DFUs (Diabetic Foot Ulcers). The latter are characterized by slow or non-healing chronic wounds which place a severe burden on day-to-day activities of affected patients. Given the drastic elevation of l-tyrosine concentrations in such circumstances, there lies a substantial demand for monitoring the quantity of this bio-marker via flexible sensing platforms for assessing the chronicity of foot ulcers in order to avoid co-morbidity, amputations and commencement of gross symptoms. The flexible molecularly imprinted sensor was fabricated on carbon screen-printed PET (Poly-ethylene Terephthalate) substrates, by electro-polymerization of pyrrole followed by templating of l-tyrosine in the polymer matrix. Microstructural characterizations of sensing surface were performed by FTIR (Fourier Transform Infrared Spectroscopy) and contact angle measurements; while the biomarker monitoring performance and its binding mechanism were evaluated by CV (Cyclic Voltammetry) studies. Further insights onto charge transfer kinetics at electrode-electrolyte interface, were obtained from EIS (Electrochemical Impedance Spectroscopy) and circuit simulation. The developed sensor demonstrated linear characteristics within a wide tyrosine concentration of 10 pM – 1 mM. The LoD (Limit of Detection) and sensitivity of the sensor were found to be 12.50 pM and 6.01 nA/pM/mm2 respectively with response time of less than a minute. The developed sensor was found to be highly selective towards tyrosine, owing to over-oxidized nature of templated poly-pyrrole, and was found to possess a shelf life of 3 months thereby fitting well within future connected health platform for DFU monitoring.
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