La(OH)3 Multi-Walled Carbon Nanotube/Carbon Paste-Based Sensing Approach for the Detection of Uric Acid-A Product of Environmentally Stressed Cells

Biosensors (Basel). 2022 Sep 1;12(9):705. doi: 10.3390/bios12090705.

Abstract

This paper aims to develop an amperometric, non-enzymatic sensor for detecting and quantifying UA as an alert signal induced by allergens with protease activity in human cell lines (HEK293 and HeLa). Uric acid (UA) has been classified as a damage-associated molecular pattern (DAMP) molecule that serves a physiological purpose inside the cell, while outside the cell it can be an indicator of cell damage. Cell damage or stress can be caused by different health problems or by environmental irritants, such as allergens. We can act and prevent the events that generate stress by determining the extent to which cells are under stress. Amperometric calibration measurements were performed with a carbon paste electrode modified with La(OH)3@MWCNT, at the potential of 0.3 V. The calibration curve was constructed in a linear operating range from 0.67 μM to 121 μM UA. The proposed sensor displayed good reproducibility with an RSD of 3.65% calculated for five subsequent measurements, and a low detection limit of 64.28 nM, determined using the 3 S/m method. Interference studies and the real sample analysis of allergen-treated cell lines proved that the proposed sensing platform possesses excellent sensitivity, reproducibility, and stability. Therefore, it can potentially be used to evaluate stress factors in medical research and clinical practice.

Keywords: DAMP molecule; La(OH)3@MWCNT; cell damage; electrochemical sensor; stress; uric acid.

MeSH terms

  • Allergens
  • Electrochemical Techniques / methods
  • Electrodes
  • HEK293 Cells
  • Humans
  • Irritants / analysis
  • Nanotubes, Carbon*
  • Peptide Hydrolases
  • Reproducibility of Results
  • Uric Acid* / analysis

Substances

  • Allergens
  • Irritants
  • Nanotubes, Carbon
  • Uric Acid
  • Peptide Hydrolases

Grants and funding

This work was supported by Ministry of Education, Science and Technological Development of Republic of Serbia Contract number: 451-03-68/2022-14/200168, and the research was funded by Ministry of Science and Higher Education of the Russian Federation (agreement No. 075-15-2022-1135) and South Ural State University.