4.8 Article

Nanosensor Composed of Nitrogen-Doped Carbon Dots and Gold Nanoparticles for Highly Selective Detection of Cysteine with Multiple Signals

Journal

ANALYTICAL CHEMISTRY
Volume 87, Issue 4, Pages 2195-2203

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ac503595y

Keywords

-

Funding

  1. National Natural Science Foundation of China [21375037, 21305042, 21275051, 21475043]
  2. Scientific Research Fund of Hunan Provincial Science and Technology Department and Education Department [13JJ2020, 14B116]
  3. Ministry of Education of China [20134306110006]

Ask authors/readers for more resources

Biological thiols play a critical role in biological processes and are involved in a variety of diseases. The discrimination detection of biological thiols is of increasing importance in clinical diagnosis. In this paper, a novel nanosensor was developed to discriminate cysteine (Cys) from homocysteine (Hcy) and glutathione (GSH) with multiple signals: colorimetric, photoluminescence (PL), and up-conversional photoluminescence (UCP). The nanosensor (NC-dots/AuNPs) was constructed by nitrogen-doped carbon dots (NC-dots) and gold nanoparticles (AuNPs) through assembling NC-dots shell on AuNPs and showed the obvious different response to Cys, Hcy, and GSH with colorimetric, PL, and UCP signals. The discrimination effect for Cys is originated from conformations and interaction difference of the thiols groups in Cys and Hcy and/or GSH with AuNPs. Among them, only Cys can quickly penetrate into the NC-dots shell of the composite and induce the dispersing of the aggregated NC-dots/AuNPs, which lead to the color change from purple to red and the recovery of PL and UCP of NC-dots. This assay was successfully applied for the detection of Cys in human serum with the detection limit of 4 nM.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available