Colorimetric Sensor Array for Identification of Proteins and Classification of Metabolic Profiles under Various...

Area of Science:

• Analytical Chemistry
• Biochemistry
• Nanotechnology

Background:

• Accurate protein detection is crucial for medical diagnostics and disease treatment.
• Current methods for protein identification can be complex and time-consuming.
• Understanding protein behavior in different solutions is key to developing new analytical tools.

Purpose of the Study:

• To develop a simple colorimetric sensor array for differentiating and identifying proteins.
• To investigate the influence of osmolytes on protein conformation and their interaction with silver nanoparticles.
• To explore the potential of the sensor array for analyzing complex biological samples and metabolic profiles.

Main Methods:

• A colorimetric sensor array utilizing silver nanoparticles was designed.
• Proteins were exposed to various osmolyte solutions, inducing conformational changes.
• Differential binding of proteins to silver nanoparticles resulted in unique colorimetric responses.
• The sensor array's performance was validated with individual proteins, mixtures, and biological samples.

Main Results:

• The sensor array successfully differentiated 19 distinct proteins through unique color change patterns.
• Protein identification correlated with molecular weight, offering a novel classification method.
• The array accurately identified protein mixtures, thermally denatured proteins, and unknown samples.
• Analysis of rat plasma and liver samples demonstrated potential for metabolic profile classification.

Conclusions:

• The developed colorimetric sensor array offers a simple, rapid, and efficient method for protein identification.
• The sensor's ability to differentiate proteins based on osmolytes and molecular weight opens new avenues in proteomics.
• This technology shows promise for applications in medical diagnostics, disease treatment, and the analysis of complex biological systems.