A Real-Time Enzyme-Linked Aptamer Assay (RT-eELAA) for Rapid and Sensitive Detection of Viral Antigens in Saliva Using Electrochemical Readout

Despite the need for reliable rapid antigen tests for infectious disease diagnostics, tests that combine rapid answer-to-result times with high sensitivity and specificity remain elusive. A major challenge in developing such tests is the loss of performance of analytical assays in clinical samples. Herein, we developed a rapid antigen test based on a real-time electrochemical sandwich assay for detecting SARS-CoV-2 and Influenza A in saliva. This assay used aptamers for both target capture and signal transduction and produced limits of detection of 301 and 743 copies/mL for SARS-CoV-2 and Influenza A, respectively. When evaluating this assay with clinical saliva samples, we encountered major issues in distinguishing between positive and negative samples. In response, we developed a revised method to interrogate each clinical sample with a pair of electrochemical detectors modified, respectively, with a functional aptamer or a nonfunctional aptamer mutant. This method enabled us to normalize the signal response measured from each clinical sample with a reference signal, overcoming the previously encountered challenge and resulting in a clinical sensitivity of 100% and a specificity of 100% when analyzing 20 saliva samples that were collected and tested for COVID-19.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-06-13
DOI
https://doi.org/10.1021/acs.analchem.5c02555
Citations
3
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
2.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Real-Time Enzyme-Linked Aptamer Assay (RT-eELAA) for Rapid and Sensitive Detection of Viral Antigens in Saliva Using Electrochemical Readout

Payel Sen, Deborah Yamamura, Bruno J. Salena, Bal Ram Adhikari et al.
3 citations
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
2.42
article

A Real-Time Enzyme-Linked Aptamer Assay (RT-eELAA) for Rapid and Sensitive Detection of Viral Antigens in Saliva Using Electrochemical Readout

Payel Sen, Deborah Yamamura, Bruno J. Salena, Bal Ram Adhikari, Leyla Soleymani, Yingfu Li, Jiuxing Li, Qing Wang, Zijie Zhang, Jimmy Gu
article en
3 citations

Abstract

Despite the need for reliable rapid antigen tests for infectious disease diagnostics, tests that combine rapid answer-to-result times with high sensitivity and specificity remain elusive. A major challenge in developing such tests is the loss of performance of analytical assays in clinical samples. Herein, we developed a rapid antigen test based on a real-time electrochemical sandwich assay for detecting SARS-CoV-2 and Influenza A in saliva. This assay used aptamers for both target capture and signal transduction and produced limits of detection of 301 and 743 copies/mL for SARS-CoV-2 and Influenza A, respectively. When evaluating this assay with clinical saliva samples, we encountered major issues in distinguishing between positive and negative samples. In response, we developed a revised method to interrogate each clinical sample with a pair of electrochemical detectors modified, respectively, with a functional aptamer or a nonfunctional aptamer mutant. This method enabled us to normalize the signal response measured from each clinical sample with a reference signal, overcoming the previously encountered challenge and resulting in a clinical sensitivity of 100% and a specificity of 100% when analyzing 20 saliva samples that were collected and tested for COVID-19.

Analytical ChemistryVol. 97(25)
McMaster University (CA)
Canada Research Chairs, Mitacs, Natural Sciences and Engineering Research Council of Canada
Good health and well-being
Openalex Percentile: Top 11%
Advanced biosensing and bioanalysis techniques
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.