Issue 24, 2020

Light-accelerating oxidase-mimicking activity of black phosphorus quantum dots for colorimetric detection of acetylcholinesterase activity and inhibitor screening

Abstract

A feasible and sensitive colorimetric platform was established for the assay of acetylcholinesterase (AChE) activity and evaluation of its inhibitor screening, based upon the light-accelerating oxidase-mimicking activity of black phosphorus quantum dots (BP QDs). The BP QDs were synthesized through a thermal exfoliation method and characterized using various techniques. The BP QDs exhibit oxidase-mimicking catalytic activity on dissolved oxygen-mediating oxidation of 3,3′,5,5′-tetramethylbenzidine, a typical substrate of oxidase. This results in a transformation of 3,3′,5,5′-tetramethylbenzidine into its blue oxidized product, which has a visible absorption peak at 652 nm. The exposure of 365 nm light irradiation significantly accelerates the oxidase-mimicking activity of the BP QDs and speeds up the reaction efficiency. AChE can specifically catalyze the decomposition of its substrate acetylthiocholine chloride to thiocholine. Thiocholine has reducing capacity and can thus reduce the oxidase-mimicking activity of the BP QDs. As a result, the oxidation of 3,3′,5,5′-tetramethylbenzidine is hindered and the blue solution becomes paler. This gives a linear response for AChE ranging from 0.5 to 10.0 mU mL−1 and a detection limit of 0.17 mU mL−1. The assay was successfully applied to evaluate inhibitor screening with neostigmine as the model.

Graphical abstract: Light-accelerating oxidase-mimicking activity of black phosphorus quantum dots for colorimetric detection of acetylcholinesterase activity and inhibitor screening

Supplementary files

Article information

Article type
Paper
Submitted
24 Sep 2020
Accepted
02 Oct 2020
First published
05 Oct 2020

Analyst, 2020,145, 8022-8029

Light-accelerating oxidase-mimicking activity of black phosphorus quantum dots for colorimetric detection of acetylcholinesterase activity and inhibitor screening

L. Ren, H. Li, M. Liu and J. Du, Analyst, 2020, 145, 8022 DOI: 10.1039/D0AN01917H

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