Literature DB >> 27196253

Facile and ultrasensitive fluorescence sensor platform for tumor invasive biomaker β-glucuronidase detection and inhibitor evaluation with carbon quantum dots based on inner-filter effect.

Shuaimin Lu1, Guoliang Li2, Zhengxian Lv1, Nannan Qiu3, Weiheng Kong1, Peiwei Gong1, Guang Chen1, Lian Xia1, Xiaoxi Guo1, Jinmao You4, Yongning Wu5.   

Abstract

Early detection and diagnosis have great practical significances for the effective prevention and treatment of cancer. In this study, we developed a novel, facile and ultra-sensitive fluorescence assay for the determination of tumor invasive biomarker β-glucuronidase (GLU) based on the inner-filter effect (IFE). The nitrogen-doped carbon quantum dots (N-CQDs) with green photoluminescence were employed as the fluorophore in IFE, and 4-nitrophenyl-β-D-glucuronide (PNPG) was used to act as GLU substrate, and GLU catalytic product (p-nitrophenol (PNP)) was capable of acting as the robust absorber in IFE to turn off the fluorescence of N-CQDs due to the complementary overlap between the absorption of PNP and the excitation of N-CQDs. Thus, signal of GLU activity could be recorded by the fluorescence intensity of N-CQDs. Unlike other fluorescence sensing mechanism such as fluorescence resonance energy transfer (FRET) or photoinduced electron transfer (PET), IFE has no requirement for electron or energy transfer process or any chemical modification of fluorophore, which makes our assay more flexible and simple. The proposed method exhibited a good linear relationship from 1UL(-1) to 60UL(-1) (R(2)=0.9967) with a low detection limit of 0.3UL(-1). This method was also successfully applied to the analysis of serum samples and the inhibitor screening from natural product. The developed sensor platform was proven to be reliable, facile, sensitive, and selective, making it promising as a candidate for GLU activity detection in clinic tumor diagnose and anti-tumor drug screening.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anti-tumor drug screening; Inner-filter effect; Nitrogen-doped carbon quantum dots; β-glucuronidase

Mesh:

Substances:

Year:  2016        PMID: 27196253     DOI: 10.1016/j.bios.2016.05.021

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  6 in total

1.  A lateral flow immunoassay for straightforward determination of fumonisin mycotoxins based on the quenching of the fluorescence of CdSe/ZnS quantum dots by gold and silver nanoparticles.

Authors:  Laura Anfossi; Fabio Di Nardo; Simone Cavalera; Cristina Giovannoli; Giulia Spano; Elena S Speranskaya; Irina Y Goryacheva; Claudio Baggiani
Journal:  Mikrochim Acta       Date:  2018-01-10       Impact factor: 5.833

Review 2.  Recent advances of sensing strategies for the detection of β-glucuronidase activity.

Authors:  Tong Li; Guoliang Li; Zhuoqun Su; Jianghua Liu; Panxue Wang
Journal:  Anal Bioanal Chem       Date:  2022-03-01       Impact factor: 4.142

Review 3.  Therapeutic significance of β-glucuronidase activity and its inhibitors: A review.

Authors:  Paul Awolade; Nosipho Cele; Nagaraju Kerru; Lalitha Gummidi; Ebenezer Oluwakemi; Parvesh Singh
Journal:  Eur J Med Chem       Date:  2019-12-04       Impact factor: 6.514

4.  Determination of the activity of γ-glutamyl transpeptidase and of its inhibitors by using the inner filter effect on the fluorescence of nitrogen-doped carbon dots.

Authors:  Xia Tong; Te Li; Ruiqing Long; Ying Guo; Lihui Wu; Shuyun Shi
Journal:  Mikrochim Acta       Date:  2020-02-21       Impact factor: 5.833

5.  Silver Nanoparticle-Based Fluorescence-Quenching Lateral Flow Immunoassay for Sensitive Detection of Ochratoxin A in Grape Juice and Wine.

Authors:  Hu Jiang; Xiangmin Li; Ying Xiong; Ke Pei; Lijuan Nie; Yonghua Xiong
Journal:  Toxins (Basel)       Date:  2017-02-28       Impact factor: 4.546

6.  Infrared Plasmonic Refractive Index Sensor with Ultra-High Figure of Merit Based on the Optimized All-Metal Grating.

Authors:  Ruifang Li; Dong Wu; Yumin Liu; Li Yu; Zhongyuan Yu; Han Ye
Journal:  Nanoscale Res Lett       Date:  2017-01-03       Impact factor: 4.703

  6 in total

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