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A pH-based sensor array for the detection and identification of proteins using CdSe/ZnS quantum dots as an indicator
- Source :
- The Analyst. 144:2891-2897
- Publication Year :
- 2019
- Publisher :
- Royal Society of Chemistry (RSC), 2019.
-
Abstract
- Protein identification is very important in the field of clinical medicine and diagnosis. Here, we report a novel and simple sensor array for the detection and identification of proteins using pH buffer solutions as sensing elements. Different proteins in various pH solutions have different net surface charges including positive, negative or no charge. Such differences may allow a pattern recognition-based sensor array for protein identification. When using negatively charged CdSe/ZnS quantum dots as an indicator, the interactions between a charged protein and quantum dots result in fluorescence changes, generating a differential response pattern for the protein. The result shows that proteins with pI > 7, pI = 7 or pI < 7 can be differentiated successfully. Moreover, complex protein mixtures are also able to be identified and the results demonstrate that surface charge may play an important role in protein sensing. The HSA of different concentrations in water and human urine can also be detected by using the sensor array. It is demonstrated that the proposed sensor array has potential applications in clinical diagnosis and proteomics.
- Subjects :
- Serum Albumin, Human
02 engineering and technology
Sulfides
Mass spectrometry
Proteomics
01 natural sciences
Biochemistry
Fluorescence
Analytical Chemistry
Sensor array
Quantum Dots
Cadmium Compounds
Electrochemistry
Humans
Environmental Chemistry
Surface charge
Selenium Compounds
Spectroscopy
Chemistry
010401 analytical chemistry
Proteins
Charge (physics)
Hydrogen-Ion Concentration
021001 nanoscience & nanotechnology
0104 chemical sciences
Identification (information)
Spectrometry, Fluorescence
Zinc Compounds
Quantum dot
Biophysics
0210 nano-technology
Subjects
Details
- ISSN :
- 13645528 and 00032654
- Volume :
- 144
- Database :
- OpenAIRE
- Journal :
- The Analyst
- Accession number :
- edsair.doi.dedup.....e9afdb0181210fd148555faa03a4c217