Literature DB >> 24015837

Highly sensitive detection of caspase-3 activities via a nonconjugated gold nanoparticle-quantum dot pair mediated by an inner-filter effect.

Jingwen Li1, Xinming Li, Xiujuan Shi, Xuewen He, Wei Wei, Nan Ma, Hong Chen.   

Abstract

We describe here a simple fluorometric assay for the highly sensitive detection of caspase-3 activities on the basis of the inner-filter effect of gold nanoparticles (AuNPs) on CdTe quantum dots (QDs). The method takes advantage of the high molar absorptivity of the plasmon band of gold nanoparticles as well as the large absorption band shift from 520 to 680 nm upon nanoparticle aggregation. When labeled with a peptide possessing the caspase-3 cleavage sequence (DEVD), the monodispersed Au-Ps (peptide-modified AuNPs) exhibited a tendency to aggregate when exposed to caspase-3, which induced the absorption band transition from 520 to 680 nm and turned on the fluorescence of the CdTe QDs for caspase-3 sensing. Under optimum conditions, a high sensitivity towards caspase-3 was achieved with a detection limit as low as 18 pM, which was much lower than the corresponding assays based on absorbance or other approaches. Overall, we demonstrated a facile and sensitive approach for caspase-3 detection, and we expected that this method could be potentially generalized to design more fluorescent assays for sensing other bioactive entities.

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Year:  2013        PMID: 24015837     DOI: 10.1021/am4029735

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  9 in total

1.  Cell membrane-coated gold nanoparticles for apoptosis imaging in living cells based on fluorescent determination.

Authors:  Xiaojun Hu; Hongjie Li; Xing Huang; Zhikang Zhu; Han Zhu; Yao Gao; Zhongzheng Zhu; Hongxia Chen
Journal:  Mikrochim Acta       Date:  2020-02-18       Impact factor: 5.833

Review 2.  Advances in nanomaterial based optical biosensing and bioimaging of apoptosis via caspase-3 activity: a review.

Authors:  Balal Khalilzadeh; Nasrin Shadjou; Gulsah Saydan Kanberoglu; Hadi Afsharan; Miguel de la Guardia; Hojjatollah Nozad Charoudeh; Alireza Ostadrahimi; Mohammad-Reza Rashidi
Journal:  Mikrochim Acta       Date:  2018-08-29       Impact factor: 5.833

3.  A Novel Fluorescent Biosensor for Detection of Silver Ions Based on Upconversion Nanoparticles.

Authors:  Qian Long; Yanqing Wen; Haitao Li; Youyu Zhang; Shouzhuo Yao
Journal:  J Fluoresc       Date:  2016-10-22       Impact factor: 2.217

4.  Analyte-triggered cyclic autocatalytic oxidation amplification combined with an upconversion nanoparticle probe for fluorometric detection of copper(II).

Authors:  Hongyu Chen; Kaili He; Huan Li; Youyu Zhang; Shouzhuo Yao
Journal:  Mikrochim Acta       Date:  2018-10-01       Impact factor: 5.833

5.  Stimuli-Responsive Plasmonic Assemblies and Their Biomedical Applications.

Authors:  Qinrui Fu; Zhi Li; Fengfu Fu; Xiaoyuan Chen; Jibin Song; Huanghao Yang
Journal:  Nano Today       Date:  2020-11-08       Impact factor: 20.722

6.  A dual-functional lanthanide nanoprobe for both living cell imaging and ICP-MS quantification of active protease.

Authors:  Duan Feng; Fang Tian; Weijie Qin; Xiaohong Qian
Journal:  Chem Sci       Date:  2015-12-15       Impact factor: 9.825

Review 7.  Nanostructures for Biosensing, with a Brief Overview on Cancer Detection, IoT, and the Role of Machine Learning in Smart Biosensors.

Authors:  Aishwaryadev Banerjee; Swagata Maity; Carlos H Mastrangelo
Journal:  Sensors (Basel)       Date:  2021-02-10       Impact factor: 3.576

8.  Fluorescence-tunable copper nanoclusters and their application in hexavalent chromium sensing.

Authors:  Yu-Syuan Lin; Tai-Chia Chiu; Cho-Chun Hu
Journal:  RSC Adv       Date:  2019-03-21       Impact factor: 3.361

9.  Highly photoluminescent and temperature-sensitive P, N, B-co-doped carbon quantum dots and their highly sensitive recognition for curcumin.

Authors:  Bin Wu; Xiaolong Liu; Xiaofeng Shi; Wei Han; Chunru Wang; Li Jiang
Journal:  RSC Adv       Date:  2019-03-13       Impact factor: 4.036

  9 in total

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