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A graphene-based physiometer array for the analysis of single biological cells.

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Graphene biosensors act as nanoscale pH sensors to measure cellular metabolic activity. This technology enables subcellular detection of proton excretion and differentiates cell types, paving the way for advanced biosensing applications.

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Analytical Chemistry

Background:

  • Graphene's unique properties enable the development of advanced biosensor platforms.
  • Physiometers measure cellular metabolic activity by detecting local acidification rates.
  • Subcellular detection of cellular processes requires high-resolution sensing technologies.

Purpose of the Study:

  • To develop and demonstrate a nanoscale graphene-based micro-physiometer for cellular metabolic activity measurement.
  • To investigate the interaction of protons with graphene and its impact on sensor performance.
  • To assess the capability of the graphene physiometer for cell type differentiation and phenotypic analysis.

Main Methods:

  • Fabrication of a graphene biosensor array functioning as independent pH sensors.
  • Utilizing Raman spectroscopy to analyze proton doping and graphene's pKa values.
  • Measuring local acidification rates for cellular metabolic activity assessment.
  • Differentiating immunoglobulin (IgG)-producing human embryonic kidney (HEK) cells from control cells.

Main Results:

  • Graphene acts as a matrix of pH sensors, enabling subcellular detection of proton excretion.
  • Raman spectroscopy confirmed proton doping of graphene with two distinct pKa values (2.9 and 14.2).
  • The graphene physiometer achieved micron spatial resolution and successfully differentiated HEK cells based on IgG production.
  • The platform demonstrated potential for detecting other analytes, such as dopamine.

Conclusions:

  • Graphene biosensors offer a unique platform for (sub)cellular interrogation due to their nanoscale sensing capabilities.
  • The developed graphene physiometer provides high-resolution metabolic activity measurements and cell phenotyping.
  • This technology holds promise for advancing biosensing and cellular analysis in various biological and medical applications.