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

ACS Sens. 2023 Jan 27;8(1):133-140. doi: 10.1021/acssensors.2c01847. Epub 2023 Jan 11.

Abstract

Rapid and efficient detection and identification of proteins hold great promise in medical diagnostics, treatment of different diseases, and proteomics. Here, we present a simple colorimetric sensor array for the differentiation of proteins in various osmolyte solutions. Osmolytes have different influences on the conformation of proteins, which have differential binding to silver nanoparticles, resulting in color changes. The sensor array shows unique color change patterns for each of the 19 proteins, allowing unambiguous identification. Very interestingly, the differentiation of 19 proteins is related to their molecular weight. Moreover, the sensor array can be used to identify protein mixtures, thermal denaturized proteins, and unknown protein samples. Finally, the sensor array can also analyze the plasma or liver samples of the four groups of salt-sensitive rats fed with different diets, indicating that it has the potential for the classification of metabolic profiles.

Keywords: colorimetric sensor array; metabolic profile classification; osmolytes; protein identification; silver nanoparticles.

MeSH terms

  • Animals
  • Colorimetry / methods
  • Metabolome
  • Metal Nanoparticles* / chemistry
  • Proteins
  • Rats
  • Silver / chemistry

Substances

  • Silver
  • Proteins