A dual-responsive nanozyme sensor with ultra-high sensitivity and ultra-low cross-interference towards metabolic biomarker monitoring

被引:12
作者
Wang, Xinyu [1 ]
Xia, Zhaoping [1 ]
Fodjo, Essy Kouadio [2 ]
Deng, Wei [1 ]
Li, Dan [1 ]
机构
[1] Shanghai Inst Technol, Sch Chem & Environm Engn, 100 Haiquan Rd, Shanghai 201418, Peoples R China
[2] Felix Houphouet Boigny Univ, Lab Phys Chem, UFR SSMT, 22 BP 582, Abidjan 22, Cote Ivoire
基金
中国国家自然科学基金;
关键词
METAL-ORGANIC FRAMEWORK; GLUCOSE-OXIDASE; PAPER; NANOPARTICLES; FABRICATION; CYSTEINE;
D O I
10.1039/d1tb02796d
中图分类号
TB3 [工程材料学]; R318.08 [生物材料学];
学科分类号
0805 ; 080501 ; 080502 ;
摘要
Accurate, sensitive and selective detection of metabolic biomarkers in biofluids are of vital significance for health self-monitoring and chronic disease prevention. Here, for the first time, a smart dual-responsive nanozyme sensor (DNS) was developed for simultaneous analysis of glucose and caffeine utilizing stimuli-responsive yolk-shell gold nanoparticles (GNPs)-embedded MIL-53 (Al) (GNPs@MIL-53) structures. After the introduction of glucose, GNPs@MIL-53 displays excellent glucose oxidase (GOx)-like activity to induce the conversion of glucose to gluconic acid and H2O2. H2O2 can oxidize 3,3 ',5,5 '-tetramethylbenzidine (TMB) with the generation a bright-blue color, enabling in-field visualization and surface enhanced Raman scattering (SERS) detection of glucose. Upon the addition of caffeine, 2-aminoterephthalic acid modified MIL-53 can react with the caffeine to form intermolecular hydrogen-bonded complexes, leading to strong cyan fluorescence and significant Raman enhancements. The DNS with multi-channel signal outputs can simultaneously determine glucose and caffeine at concentrations of as low as 3 x 10(-8) M and 1.2 x 10(-11) M, respectively. Importantly, the DNS-based analytical system not only enables visual discrimination and accurate assay of glucose and caffeine in biofluids, but also exhibits negligible cross-interference between glucose and caffeine determination. The combined characteristics of high selectivity, enhanced accuracy and superior quantitative performance make our platform suitable for the point-of-care monitoring of chronic-disease-related metabolic biomarkers.
引用
收藏
页码:3023 / 3031
页数:10
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