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A novel fluorescent biosensor for adrenaline detection and tyrosinase inhibitor screening

Overview of attention for article published in Analytical & Bioanalytical Chemistry, April 2018
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Title
A novel fluorescent biosensor for adrenaline detection and tyrosinase inhibitor screening
Published in
Analytical & Bioanalytical Chemistry, April 2018
DOI 10.1007/s00216-018-1063-1
Pubmed ID
Authors

Ziping Liu, Shasha Liu

Abstract

In this work, a novel simple fluorescent biosensor for the highly sensitive and selective detection of adrenaline was established. Firstly, water-soluble CuInS2 quantum dots (QDs) capped by L-Cys were synthesized via a hydrothermal synthesis method. Then, the positively charged adrenaline was assembled on the surface of CuInS2 QDs due to the electrostatic interactions and hydrogen bonding, which led to the formation of adrenaline-CuInS2 QD (Adr-CuInS2 QD) electrostatic complexes. Tyrosinase (TYR) can catalyze adrenaline to generate H2O2, and additionally oxidize the adrenaline to adrenaline quinone. Both the H2O2 and the adrenaline quinone can quench the fluorescence of the CuInS2 QDs through the electron transfer (ET) process. Thus, the determination of adrenaline could be facilely achieved by taking advantage of the fluorescence "turn off" feature of CuInS2 QDs. Under the optimum conditions, the fluorescence quenching ratio If/If0 (If and If0 were the fluorescence intensity of Adr-CuInS2 QDs in the presence and absence of TYR, respectively) was proportional to the logarithm of adrenaline concentration in the range of 1 × 10-8-1 × 10-4 mol L-1 with the detection limit of 3.6 nmol L-1. The feasibility of the proposed biosensor in real sample assay was also studied and satisfactory results were obtained. Significantly, the proposed fluorescent biosensor can also be utilized to screen TYR inhibitors. Graphical abstract Schematic illustration of the fluorescent biosensor for adrenaline detection (A) and tyrosinase inhibitor screening (B).

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Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Master 2 15%
Researcher 2 15%
Professor 1 8%
Unknown 4 31%
Readers by discipline Count As %
Chemistry 3 23%
Computer Science 1 8%
Chemical Engineering 1 8%
Psychology 1 8%
Materials Science 1 8%
Other 0 0%
Unknown 6 46%
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 22 June 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,543
of 9,619 outputs
Outputs of similar age
#300,436
of 340,618 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#129
of 173 outputs
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