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DOI 10.1021/acsomega.5c04527

Медицинская библиотека · ACS omega · 2026

Development and Optimization of a Quantum Dot-Based Lateral Flow Assay for Hepatitis B Surface Antigen Detection.

Abu Norhidayah, Saari Norhafizah, Abdullah Jaafar, Shueb Rafidah Hanim

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Аннотация

Early detection of hepatitis B virus (HBV) is essential for effective disease management, particularly in cases involving low viral loads where timely intervention can prevent chronic progression and liver-related complications. Although enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR) are considered the gold standards for HBV detection, their reliance on specialized infrastructure limits their accessibility in resource-limited settings. This study reports the development and optimization of a cadmium quantum dots-based lateral flow assay (cadmiumQDs-LFA) for the detection of hepatitis B surface antigen (HBsAg), harnessing the superior fluorescence properties of cadmiumQDs to improve analytical performance. Compared to conventional gold nanoparticles (AuNPs)-based LFA, cadmiumQDs exhibit higher fluorescence intensity and stability, enabling improved sensitivity for detecting low-abundance biomarkers. Commercially sourced cadmiumQDs were functionalized with mercaptopropionic acid (MPA) to introduce carboxyl (-COOH) functional groups for bioconjugation. The optimized cadmiumQDs conjugates were integrated into an LFA, achieving a limit of detection (LOD) of 15.6 ng/mL for HBsAg. Performance evaluation using 244 clinical serum samples yielded a sensitivity of 86.5%, specificity of 95.9%, positive predictive value (PPV) of 98% and negative predictive value (NPV) of 75.3%. Comparative analysis with a commercial LFA demonstrated enhanced detection of low HBsAg levels, addressing a key limitation of conventional methods.

Для цитирования: Abu Norhidayah, Saari Norhafizah, Abdullah Jaafar, Shueb Rafidah Hanim. Development and Optimization of a Quantum Dot-Based Lateral Flow Assay for Hepatitis B Surface Antigen Detection.. ACS omega. 2026. DOI: 10.1021/acsomega.5c04527.
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