Regulation of the Structure of Zirconium-Based Porphyrinic Metal–Organic Framework as Highly Electrochemiluminescence Sensing Platform for Thrombin

电化学发光 发光体 化学 检出限 鲁米诺 线性范围 金属有机骨架 卟啉 纳米技术 组合化学 发光 光电子学 色谱法 光化学 材料科学 有机化学 吸附
作者
Peipei Li,Luo Luo,Dan Cheng,Yan Sun,Youyu Zhang,Meiling Liu,Shouzhuo Yao
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (14): 5707-5714 被引量:97
标识
DOI:10.1021/acs.analchem.2c00737
摘要

An electrochemiluminescence (ECL) sensor provides a sensitive and convenient method for early diagnosis of diseases; however, it is still a challenge to develop simple and sensitive sensing platforms based on efficient ECL signals and luminophore groups. Porphyrin-based metal–organic frameworks (MOFs) show great potential in ECL sensing; however, the mechanism and structure–activity relationship, as well as application, are rarely reported. Herein, hydrothermal reactions obtained porphyrin Zr-MOFs (PCN-222) with different specific surface areas, pore sizes, structures, and surface charge states by tuning the reaction time were developed, which served both as the ECL luminophore, coreaction promoter for S 2 O 8 2–, and a connection in the ECL immunoassay. By progressively controlling the condition of the hydrothermal reaction, PCN-222 with large surface area-abundant micropores can be obtained, which has good conductivity and positively charged surfaces, obtaining excellent ECL performance. The ECL performance and the enhancement mechanism were investigated in detail. Using PCN-222-6h with the best ECL intensity as the immobilization matrix for the aptamer, a highly sensitive and selective assay for thrombin was developed. The decrease of the ECL signal was logarithmically linear with the concentration of thrombin in the range from 50 fg mL –1 to 100 pg mL –1 with a low detection limit of 2.48 fg/mL. This proposed strategy provides a brand new approach for tuning of the structures of MOFs as effective ECL signal probes, thus providing wider possibilities for effective ECL immunoassays in the detection of other biomarkers in diagnosis of diseases.
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