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A visual sensor array for pattern recognition analysis of proteins using novel blue-emitting fluorescent gold
Shenghao Xu1, Xin Lu, Chenxi Yao
1Key Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal University , Beijing 100875, People's Republic of China.
Analytical Chemistry
|November 7, 2014
Summary
This study presents a novel visual sensor array using gold nanoclusters for protein analysis. The array effectively discriminates proteins and patient serums, showing promise for diagnostic applications.
Area of Science:
- Biochemistry
- Nanotechnology
- Analytical Chemistry
Background:
- Protein analysis is crucial for understanding biological processes and disease.
- Developing sensitive and selective methods for protein detection remains a challenge.
- Gold nanoclusters (Au NCs) offer unique optical properties for sensing applications.
Purpose of the Study:
- To develop a visual sensor array for protein pattern recognition using novel gold nanoclusters.
- To discriminate between different proteins and protein mixtures.
- To evaluate the potential of the sensor array for clinical diagnostics.
Main Methods:
- Synthesis of collagen-protected and macerozyme R-10-protected blue-emitting gold nanoclusters.
- Utilizing colorimetric and fluorometric signal changes for detection.
- Employing techniques such as fluorescence spectroscopy, XPS, fluorescence lifetime, ITC, and MALDI-TOF MS for mechanism elucidation.
- Testing the sensor array with individual proteins, protein mixtures, and patient serum samples.
Main Results:
- The visual sensor array successfully discriminated eight different proteins.
- Protein mixtures separated by one-dimensional polyacrylamide gel electrophoresis were also well-discriminated.
- Mechanism confirmed to involve protein adsorption onto gold nanoclusters, forming protein-Au NCs complexes.
- Effective discrimination between serums from normal and hepatoma patients was achieved.
Conclusions:
- The developed visual sensor array based on gold nanoclusters is effective for protein pattern recognition.
- The sensor demonstrates potential for discriminating complex biological samples, including patient serums.
- This technology holds promise for future diagnostic applications in healthcare.
