Nanophotonics: An Emerging and Promising Approach for COVID-19 Diagnostic Technology

Authors

  • Annmaria Antony The Harker School
  • Eileen Chen Los Gatos High School
  • Shreya Kakhandiki Lynbrook High School
  • Ahsan Habib University of California, Santa Cruz

DOI:

https://doi.org/10.47611/jsrhs.v11i1.2475

Keywords:

nanophotonics, ring resonator, covid-19, coronavirus, diagnosis, diagnostic technology, pandemic, virus, pcr, polymerase chain reaction, biosensor, anitbody, antigen

Abstract

The public health crisis initiated by the emergence of the COVID-19 pandemic emphasizes the need for rapid and accurate diagnostic tests to monitor large populations through community mass testing. Many testing techniques have been implemented to prevent disease spread, critical to pandemic control. Polymerase chain reaction (PCR) tests for detecting viral RNA and immunoassay tests for detecting SARS-CoV-2 antibodies are currently used to diagnose COVID-19. PCR tests are time-consuming, with a 24–48 hours turnaround time. Samples undergoing PCR detection must also be sent to a laboratory to be processed by highly specialized workers, preventing a point-of-care diagnosis from being provided. Popular immunoassay tests have drawbacks as well. Enzyme-linked immunosorbent assays (ELISAs) are extremely labor-intensive and expensive, whereas lateral flow assays (LFAs) are primarily used for antigen detection. In this work, we propose a photonic SARS-CoV-2 detection method based on a ring resonator. We calculate the sensor performance using the finite-difference eigenmode (FDE) method. The sensor sensitivity in ring resonator resonance frequency is 29 nm/RIU, with an intrinsic detection level (iLOD) of 6.89 × 10-5 RIU. We envision ring resonator-based lab-on-chip devices being widely used for applications such as early diagnosis, with the added benefit of being ultra-compact and easily handled by non-specialists.

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Author Biography

Ahsan Habib, University of California, Santa Cruz

Mentor

References or Bibliography

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Published

02-28-2022

How to Cite

Antony, A., Chen, E., Kakhandiki, S. ., & Habib, A. (2022). Nanophotonics: An Emerging and Promising Approach for COVID-19 Diagnostic Technology. Journal of Student Research, 11(1). https://doi.org/10.47611/jsrhs.v11i1.2475

Issue

Section

HS Research Articles