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Related Experiment Video

Updated: Aug 16, 2025

Author Spotlight: Advancing Pathogen Diagnostics with Standardized LAMP

Author Spotlight: Advancing Pathogen Diagnostics with Standardized LAMP

Published on: September 8, 2023

SARS-CoV-2 detecting rapid metasurface-based sensor.

Shobhit K Patel¹, Jaymit Surve², Juveriya Parmar³

¹Department of Computer Engineering, Marwadi University, Rajkot, Gujarat - 360003, India.

Diamond and Related Materials

|December 28, 2022

Summary

This summary is machine-generated.

A new method detects COVID-19 by identifying ethyl butanoate in breath using a specialized refractive index sensor (RIS). This biosensor offers high sensitivity for early detection of SARS-CoV-2 infection.

Keywords:

Ethyl butanoate Graphene Metasurface SARS-CoV-2

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Area of Science:

Nanotechnology
Biosensing
Medical Diagnostics

Background:

COVID-19 diagnosis relies on methods with varying sensitivity and speed.
Volatile organic compounds (VOCs) in breath can indicate infection.
Ethyl butanoate is a VOC found in higher concentrations in COVID-19 patients' breath.

Purpose of the Study:

To develop a novel, highly sensitive biosensor for detecting COVID-19.
To utilize a metasurface-based slotted T-shape refractive index sensor (RIS) for ethyl butanoate detection.
To optimize sensor structure for enhanced performance in identifying SARS-CoV-2 infection markers.

Main Methods:

Proposed a refractive index sensor (RIS) incorporating a metasurface-based slotted T-shape perfect absorber.
Optimized sensor structure by adjusting parameters like length, thickness, and resonator dimensions.
Evaluated sensor performance using metrics including sensitivity, Q factor, figure of merit (FOM), and detection limit.

Main Results:

Achieved a maximum sensitivity of 2500 nm/RIU.
Obtained a Q factor of 131.06.
Reached a figure of merit (FOM) of 131.58 RIU^-1 and a detection limit of 0.0224 RIU.

Conclusions:

The proposed slotted T-shape RIS demonstrates high sensitivity and accuracy for detecting ethyl butanoate.
This novel approach shows potential for rapid and non-invasive COVID-19 diagnosis.
The optimized sensor design offers a promising tool for early SARS-CoV-2 detection in exhaled breath.