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Updated: May 31, 2026

Development of a Lateral Flow Immunochromatographic Strip for Rapid and Quantitative Detection of Small Molecule Compounds
Published on: November 13, 2021
A lateral flow immunoassay combining HCV antigen and antibody detection for improved early diagnosis
Lay Sin Teoh1, Kaosalya Murali2, Muhammad Firdaus Bin Md Ibrahim2
1Department of Research and Development, MP Biomedicals Asia Pacific Pte Ltd, Singapore, Singapore.
Background:
Rapid and accurate detection of hepatitis C virus (HCV) infection is essential for early diagnosis, timely intervention, and cost-effective disease management. Conventional antibody-based assays may fail to detect infection during the acute phase, highlighting the need for diagnostic tools capable of identifying both HCV antibodies and antigens.
Methods:
A total of 2501 serum and plasma specimens (778 HCV-positive, 1723 HCV-negative) were evaluated using the ASSURE HCV Ab/Ag Rapid Test. Diagnostic performance was assessed against reference assays, including an independent clinical evaluation in Malaysia. Analytical sensitivity, cross-reactivity, interference, seroconversion performance and specimen equivalency were also examined.
Results:
The assay demonstrated 100% sensitivity (778/778), 99.83% specificity (1720/1723), and near-perfect agreement with reference assays (Kappa = 0.998). Analytical evaluation confirmed robust antibody and antigen detection across serial dilutions. No cross-reactivity was observed across 30 antibody panels, and no interference was detected from 19 endogenous or exogenous substances. Seroconversion analysis identified infection ∼17 days earlier than antibody-only comparators. Performance was fully equivalent across serum, plasma, venous whole blood, and finger-prick whole blood.
Conclusions:
The ASSURE HCV Ab/Ag Rapid Test demonstrated high sensitivity and specificity for HCV screening, combining antibody and antigen detection to support earlier diagnosis including acute-phase infections, though prospective real-world validation is warranted before population-level deployment.

