A Visual Sensor Array for Pattern Recognition Analysis of Proteins Using Novel Blue-Emitting Fluorescent Gold Nanoclusters

This paper describes a visual sensor array for pattern recognition analysis of proteins based on two different optical signal changes: colorimetric and fluorometric, by using two types of novel blue-emitting collagen protected gold nanoclusters and macerozyme R-10 protected gold nanoclusters with lo...

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Bibliographic Details
Published in:Analytical chemistry (Washington) 2014-12, Vol.86 (23), p.11634-11639
Main Authors: Xu, Shenghao, Lu, Xin, Yao, Chenxi, Huang, Fu, Jiang, Hua, Hua, Wenhao, Na, Na, Liu, Haiyan, Ouyang, Jin
Format: Article
Language:English
Subjects:
Analytical chemistry
Arrays
Biosensing Techniques
Calorimetry
Fluorescence
Gold
Gold - chemistry
Metal Nanoparticles - chemistry
Nanoparticles
Nanostructure
Particle Size
Pattern recognition
Pattern Recognition, Automated
Photoelectron Spectroscopy
Proteins
Proteins - analysis
Sensor arrays
Sensors
Spectrometry, Fluorescence
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Surface chemistry
Visual
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Summary:This paper describes a visual sensor array for pattern recognition analysis of proteins based on two different optical signal changes: colorimetric and fluorometric, by using two types of novel blue-emitting collagen protected gold nanoclusters and macerozyme R-10 protected gold nanoclusters with lower synthetic demands. Eight proteins have been well-discriminated by this visual sensor array, and protein mixtures after one-dimensional polyacrylamide gel electrophoresis also could be well-discriminated. The possible mechanism of this sensor array was illustrated and validated by fluorescence spectra, X-ray photoelectron spectroscopy (XPS), fluorescence lifetime, isothermal titration calorimetry (ITC), and matrix-assisted laser desorption/ionization–time-of-flight mass spectrometry (MALDI-TOF MS) experiments. It was attributed to that the adsorption of proteins onto the surface of gold nanoclusters (Au NCs), forming the protein–Au NCs complex. Furthermore, serums from normal and hepatoma patients were also effectively discriminated by this visual sensor array, showing feasible potential for diagnostic applications.
ISSN:0003-2700
1520-6882
DOI:10.1021/ac502643s