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Highly Selective and Quantitative Point-of-Care Diagnostic Method for Adrenaline.

Sudeep Koppayithodi1, Palash Jana1, Subhajit Bandyopadhyay1

  • 1Department of Chemical Sciences, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, Nadia, 741246, India.

Chemistry (Weinheim an Der Bergstrasse, Germany)
|March 30, 2023
PubMed
Summary
This summary is machine-generated.

A novel organic probe enables naked-eye detection of epinephrine (adrenaline) by producing a distinct color change. This method offers a selective, sensitive, and accessible point-of-care diagnostic tool for this crucial neurotransmitter.

Keywords:
Stenhouse adductscolorimetric detectiondonor-acceptor systemsepinephrinemachine learningmultivariate analysis

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Chemical Sensing

Background:

  • Epinephrine (adrenaline) is a vital neurotransmitter and hormone crucial for diagnostics.
  • Existing detection methods like electrochemical and fluorescent techniques lack selectivity among catecholamines.
  • Distinguishing epinephrine from similar neurotransmitters presents a significant analytical challenge.

Purpose of the Study:

  • To develop a highly selective and sensitive method for detecting epinephrine.
  • To create a simple, visual, and accessible diagnostic tool for epinephrine.
  • To overcome the limitations of low selectivity in current catecholamine detection techniques.

Main Methods:

  • Synthesis of a small-molecule organic probe featuring an activated furfural moiety.
  • Exploitation of epinephrine's nucleophilicity to form a colored donor-acceptor Stenhouse adduct.
  • Colorimetric analysis using UV/Vis spectroscopy and visual inspection under various conditions (solution, droplet, paper strips).
  • Validation of selectivity against nine common neurotransmitters and analogues.
  • Application of machine-learning techniques with smartphone integration for concentration determination.

Main Results:

  • The probe exhibited high selectivity, with only epinephrine inducing a unique, visible color change among nine tested compounds.
  • A low detection limit of 1.37 nM and a limit of quantitation of 4.37 nM were achieved via UV/Vis methods.
  • Sub-ppm level sensing was demonstrated under visual conditions.
  • The colorimetric response was observable and reliable across solution, droplet, and paper strip formats.
  • Smartphone-based analysis using machine learning enabled quantitative determination of epinephrine.

Conclusions:

  • A novel, highly selective organic probe for epinephrine detection has been developed.
  • The probe facilitates simple, naked-eye, colorimetric measurements, suitable for point-of-care applications.
  • This approach offers an accessible and cost-effective alternative to complex diagnostic machinery for epinephrine monitoring.