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Carbon Nanodots as Dual-Mode Nanosensors for Selective Detection of Hydrogen Peroxide

Overview of attention for article published in Discover Nano, July 2017
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Title
Carbon Nanodots as Dual-Mode Nanosensors for Selective Detection of Hydrogen Peroxide
Published in
Discover Nano, July 2017
DOI 10.1186/s11671-017-2214-6
Pubmed ID
Authors

Cheng-Long Shen, Li-Xia Su, Jin-Hao Zang, Xin-Jian Li, Qing Lou, Chong-Xin Shan

Abstract

Hydrogen peroxide (H2O2) is an important product of oxidase-based enzymatic reactions, such as glucose/glucose oxidase (GOD) reaction. Therefore, the probing of generated H2O2 for achieving the detection of various carbohydrates and their oxidases is very significative. Herein, we report one kind of dual-emission carbon nanodots (CDs) that can serve as novel dual-mode nanosensors with both fluorometric and colorimetric output for the selective detection of H2O2. The dual-model nanosensors are established only by the undecorated dual-emission CDs, where significant fluorometric and colorimetric changes are observed with the addition of different concentrations of H2O2 in the CD solution, which benefit to the achievement of the naked-eye detection for H2O2. The mechanism of the nanosensors can be attributed to the fact that the external chemical stimuli like hydroxyl radicals from H2O2 bring about the change of surface properties and the aggregation of CDs, which dominate the emission and absorption of CDs. The constructed dual-mode nanosensors exhibit good biocompatibility and high selectivity toward H2O2 with a linear detection range spanning from 0.05 to 0.5 M and allow the detection of H2O2 as low as 14 mM.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Ph. D. Student 3 11%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 10 37%
Readers by discipline Count As %
Chemistry 11 41%
Biochemistry, Genetics and Molecular Biology 2 7%
Physics and Astronomy 1 4%
Chemical Engineering 1 4%
Unknown 12 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Discover Nano
#802
of 1,149 outputs
Outputs of similar age
#285,535
of 326,018 outputs
Outputs of similar age from Discover Nano
#16
of 20 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,149 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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