Detection of Viruses through a Steric Hindrance Aptamer Assay Coupled with Electrochemical Readout

The urgent need for rapid infectious disease tests that effectively combine sensitivity, specificity, speed, and ease of operation is increasingly recognized. Aptamers present a promising solution for the specific identification of infectious disease targets, such as viruses; however, the development of aptamer-based assays poses significant challenges. In the realm of electrochemical readout, these challenges stem from the difficulty of translating target capture into an electrochemical signal, particularly when large viral targets hinder the application of structure-switching aptamers or sandwich assays. In this study, we introduce the steric hindrance aptamer assay, which leverages viral capture to enhance steric hindrance between two complementary DNA strands, thereby modulating the electrochemical signal. This innovative assay achieves a limit of detection of 89 copies/mL in buffer and 1505 copies/mL in saliva for the identification of SARS-CoV-2 Omicron pseudovirus and 364 and 1704 copies/mL for detecting influenza A in buffer and saliva, respectively. Furthermore, this assay is evaluated using 20 clinical samples (10 positives and 10 negatives), successfully identifying patients infected with SARS-CoV-2 with 100% sensitivity and specificity when compared to reverse transcription quantitative polymerase chain reaction. The reported viral analysis is achieved within a timeframe of less than 1 h while maintaining high specificity against other respiratory viruses.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2026-02-13
DOI
https://doi.org/10.1021/acssensors.5c03582
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection of Viruses through a Steric Hindrance Aptamer Assay Coupled with Electrochemical Readout

Payel Sen, Jann Catherine Ang, Matthew S. Miller, Bal Ram Adhikari et al.
ACS Sensors
Advanced biosensing and bioanalysis techniques
article

Detection of Viruses through a Steric Hindrance Aptamer Assay Coupled with Electrochemical Readout

Payel Sen, Jann Catherine Ang, Matthew S. Miller, Bal Ram Adhikari, Leyla Soleymani, A. Akhlaghi, Zijie Zhang, Ehsan Heydarian Dolatabadi, Yingfu Li
article en

Abstract

The urgent need for rapid infectious disease tests that effectively combine sensitivity, specificity, speed, and ease of operation is increasingly recognized. Aptamers present a promising solution for the specific identification of infectious disease targets, such as viruses; however, the development of aptamer-based assays poses significant challenges. In the realm of electrochemical readout, these challenges stem from the difficulty of translating target capture into an electrochemical signal, particularly when large viral targets hinder the application of structure-switching aptamers or sandwich assays. In this study, we introduce the steric hindrance aptamer assay, which leverages viral capture to enhance steric hindrance between two complementary DNA strands, thereby modulating the electrochemical signal. This innovative assay achieves a limit of detection of 89 copies/mL in buffer and 1505 copies/mL in saliva for the identification of SARS-CoV-2 Omicron pseudovirus and 364 and 1704 copies/mL for detecting influenza A in buffer and saliva, respectively. Furthermore, this assay is evaluated using 20 clinical samples (10 positives and 10 negatives), successfully identifying patients infected with SARS-CoV-2 with 100% sensitivity and specificity when compared to reverse transcription quantitative polymerase chain reaction. The reported viral analysis is achieved within a timeframe of less than 1 h while maintaining high specificity against other respiratory viruses.

ACS SensorsVol. 11(2)
Indian Institute of Technology Tirupati (IN), McMaster University (CA)
Good health and well-being
Openalex Percentile: Top 57%
Advanced biosensing and bioanalysis techniques
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.