Polypyrrole merged zirconium-based metal-organic framework NU-1000 for detection of levodopa,Microchimica Acta

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Polypyrrole merged zirconium-based metal-organic framework NU-1000 for detection of levodopa
Microchimica Acta ( IF 5.3 ) Pub Date : 2020-11-17 , DOI: 10.1007/s00604-020-04622-y
Sudip Biswas ₁ , Yuling Chen ₁ , Yao Xie ₁ , Xin Sun ₁ , Yang Wang ₁

Affiliation

A post-synthetic integration of polypyrrole onto NU-1000 MOF (PPy@NU-1000) was done by pyrrole adsorption, followed by oxidative polymerization. The synthesized materials were characterized by XRD, SEM, BET, and FTIR. The ultra-high specific surface area with high-density catalytic sites of NU-1000 (2223 m2 g−1) was combined with the electrical conductivity of PPy (2–100 S cm−1). PPy@NU-1000 provides superior electrocatalytic activity and charge transfer properties compared to an individual component. The PPy@NU-1000-modified GCE was applied to detect the biomolecule Levodopa (LD). The DPV oxidation peak of LD was strongest at 272 ± 10 mV vs. Ag/AgCl reference electrode. Under the optimized experimental condition, the fabricated electrochemical sensor exhibited a wide quantification range of 0.005–70 μM with a sub-nanomolar detection limit of 0.0001 μM (S/N 3). The described sensor exhibits high sensitivity (2.08 μA μM−1 cm−2) with reasonable stability, reproducibility, and selectivity for the detection LD in the presence of potentially interfering compounds. Furthermore, human serum analysis showed excellent recovery values within the range 99.3–101.6%. Validation of the method was performed against HPLC. Graphical abstract

中文翻译：

聚吡咯合并锆基金属有机骨架 NU-1000 用于检测左旋多巴

聚吡咯在 NU-1000 MOF (PPy@NU-1000) 上的后合成整合是通过吡咯吸附完成的，然后是氧化聚合。通过XRD、SEM、BET和FTIR对合成材料进行了表征。NU-1000 (2223 m2 g-1) 的超高比表面积和高密度催化位点与 PPy (2-100 S cm-1) 的电导率相结合。与单个组件相比，PPy@NU-1000 具有出色的电催化活性和电荷转移性能。PPy@NU-1000 修饰的 GCE 用于检测生物分子左旋多巴 (LD)。LD 的 DPV 氧化峰在 272 ± 10 mV 与 Ag/AgCl 参比电极上最强。在优化的实验条件下，制备的电化学传感器具有0.005-70 μM的宽量化范围，亚纳摩尔检测限为0。0001 μM (S/N 3)。所述传感器表现出高灵敏度（2.08 μA μM-1 cm-2），在存在潜在干扰化合物的情况下具有合理的稳定性、重现性和检测 LD 的选择性。此外，人血清分析显示在 99.3-101.6% 范围内具有出色的回收率值。该方法的验证是针对 HPLC 进行的。图形概要

更新日期：2020-11-17

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