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Simultaneous multi-signal quantification for highly precise serodiagnosis utilizing a rationally constructed

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A novel three-channel platform improves acute pancreatitis (AP) serodiagnosis accuracy by simultaneously measuring hydrogen sulfide (H2S) using multiple signals. This multi-signal approach significantly enhances diagnostic precision compared to single methods.

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Medical Diagnostics

Background:

  • Single quantification methods for bio-indicators like hydrogen sulfide (H2S) in acute pancreatitis (AP) diagnosis exhibit high false positive/negative rates.
  • Accurate and precise serodiagnosis is crucial for effective AP management.

Purpose of the Study:

  • To develop and validate a multi-channel platform for simultaneous quantification of H2S.
  • To assess the platform's efficacy in improving the precision of AP serodiagnosis.

Main Methods:

  • Construction of a three-channel platform enabling simultaneous electrochemical, luminescent, and photothermal quantification of H2S.
  • Utilized the specific reaction between the platform and H2S for sensitive and selective detection within biological concentration ranges.
  • Evaluated the platform's ability to differentiate plasma H2S concentrations between AP and normal subjects (mice model).

Main Results:

  • The three-channel platform demonstrated high sensitivity and selectivity for H2S detection.
  • Successfully identified differences in plasma H2S levels between AP and normal subjects.
  • Achieved a significantly improved AP serodiagnosis precision (>99.0%) using the three-signal method, outperforming single- or two-signal methods (79.5%-94.1%).

Conclusions:

  • Multichannel platforms enabling simultaneous multi-signal quantification of bio-indicators are vital for enhancing diagnostic accuracy.
  • The developed three-channel platform offers a rigorous and effective approach to improve the precision of medical serodiagnosis for AP.
  • This study underscores the potential of multi-signal detection strategies in clinical diagnostics.