Quantum/carbon dots-based fluorescent assays for enzyme activity

被引：55
作者：
Tong, Xia [1 ]
Shi, Shuyun [1 ]
Tong, Chaoying [1 ]
Iftikhar, Ali [2 ]
Long, Ruiqing [1 ]
Zhu, Yongfeng [1 ]
机构：
[1] Cent South Univ, Coll Chem & Chem Engn, Changsha 410083, Peoples R China
[2] Karakoram Int Univ, Dept Chem, Gilgit 15100, Pakistan
来源：
TRAC-TRENDS IN ANALYTICAL CHEMISTRY | 2020年 / 131卷
基金：
中国国家自然科学基金;
关键词：
Quantum dots; Carbon dots; Enzyme activity; Fluorescent assay; Design strategy; Sensing mechanism; Application; RESONANCE ENERGY-TRANSFER; ALKALINE-PHOSPHATASE ACTIVITY; HIGHLY SENSITIVE DETECTION; DOPED CARBON DOTS; INNER-FILTER; GLUCOSIDASE ACTIVITY; TYROSINASE ACTIVITY; ACID-PHOSPHATASE; BIOMEDICAL APPLICATIONS; TRANSFER MECHANISMS;
D O I：
10.1016/j.trac.2020.116008
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Enzymes, as biocatalysts, speed up chemical reactions to reach equilibrium in living organisms. The abnormal enzyme activity is closely related to many diseases, and they are regarded as biomarkers in clinical medicine. Thus, determination of enzyme activity has considerable importance. Among the developed methods, quantum/carbon dots (QDs/CDs)-based fluorescent sensors provide alternative platforms to monitor enzyme activity. Both quantum dots (QDs) and carbon dots (CDs) as excellent fluorescent materials possess outstanding photostability, tunable emission spectra and better biocompatibility. Thus, they present incomparable advantages in sensing. This review summarizes the advances in fluorescent assays design, sensing mechanism and corresponding applications of QDs/CDs-based fluorescent sensors for enzyme activity detection. Finally, challenges and development trends of QDs/CDs as enzymatic sensors are also discussed. We believe that this review will provide an insight for the development of novel fluorescent sensors for detection of enzyme activity. (C) 2020 Elsevier B.V. All rights reserved.
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页数：15
相关论文
共 129 条
[41]   Review of Carbon and Graphene Quantum Dots for Sensing [J].
Li, Meixiu ;
Chen, Tao ;
Gooding, J. Justin ;
Liu, Jingquan .
ACS SENSORS, 2019, 4 (07) :1732-1748
[42]   Graphene quantum dots for ultrasensitive detection of acetylcholinesterase and its inhibitors [J].
Li, Nan ;
Wang, Xuewan ;
Chen, Jie ;
Sun, Lei ;
Chen, Peng .
2D MATERIALS, 2015, 2 (03)
[43]   Graphene quantum dot-rare earth upconversion nanocages with extremely high efficiency of upconversion luminescence, stability and drug loading towards controlled delivery and cancer theranostics [J].
Li Ruiyi ;
Li Zaijun ;
Sun Xiulan ;
Ji Jan ;
Liu Lin ;
Gu Zhiguo ;
Wang Guangli .
CHEMICAL ENGINEERING JOURNAL, 2020, 382
[44]  
Li T., 2019, EFOOD, V1, P165
[45]   Cetyltrimethyl ammonium mediated enhancement of the red emission of carbon dots and an advanced method for fluorometric determination of iron(III) [J].
Li, Te ;
Xie, Lianwu ;
Long, Ruiqing ;
Tong, Chaoying ;
Guo, Ying ;
Tong, Xia ;
Shi, Shuyun ;
Lin, Qinlu .
MICROCHIMICA ACTA, 2019, 186 (12)
[46]   Self-assembled graphene quantum dots induced by cytochrome c: a novel biosensor for trypsin with remarkable fluorescence enhancement [J].
Li, Xing ;
Zhu, Shoujun ;
Xu, Bin ;
Ma, Ke ;
Zhang, Junhu ;
Yang, Bai ;
Tian, Wenjing .
NANOSCALE, 2013, 5 (17) :7776-7779
[47]   Probing Energy and Electron Transfer Mechanisms in Fluorescence Quenching of Biomass Carbon Quantum Dots [J].
Liang, Zicheng ;
Kang, Mijeong ;
Payne, Gregory F. ;
Wang, Xiaohui ;
Sun, Runcang .
ACS APPLIED MATERIALS & INTERFACES, 2016, 8 (27) :17478-17488
[48]   Carbon quantum dots and their applications [J].
Lim, Shi Ying ;
Shen, Wei ;
Gao, Zhiqiang .
CHEMICAL SOCIETY REVIEWS, 2015, 44 (01) :362-381
[49]   An inner filter effect based sensor of tetracycline hydrochloride as developed by loading photoluminescent carbon nanodots in the electrospun nanofibers [J].
Lin, Min ;
Zou, Hong Yan ;
Yang, Tong ;
Liu, Ze Xi ;
Liu, Hui ;
Huang, Cheng Zhi .
NANOSCALE, 2016, 8 (05) :2999-3007
[50]   Construction of biomass carbon dots based fluorescence sensors and their applications in chemical and biological analysis [J].
Liu, Haochi ;
Ding, Jie ;
Zhang, Kun ;
Ding, Lan .
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2019, 118 :315-337
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