A rapid extended-gate field-effect transistor-type biosensor composed of a truncated DNA aptamer and UiO-66 metal–organic framework nanoparticles for HPIV detection in bronchoalveolar lavage fluid
Abstract
The human parainfluenza virus (HPIV), an RNA virus similar to SARS-CoV-2, is a leading cause of both upper and lower respiratory diseases, with potentially fatal outcomes. Thus, early diagnosis of HPIV is crucial. However, current HPIV diagnostic methods face certain limitations. Here, we developed a rapid extended-gate field-effect transistor (R-EGFET)-based biosensor consisting of an HPIV aptamer and UiO-66 metal–organic framework (MOF) nanoparticles, which are capable of rapid and specific detection of HPIV. We synthesized an aptamer that selectively detects HPIV hemagglutinin-neuraminidase (HN protein) using systematic evolution of ligands by the exponential enrichment (SELEX) method. Then, the truncation process was achieved to reduce the aptamer production cost. In addition, the UiO-66 MOF nanoparticle is suitable as a biosensor due to its enhanced electrical sensitivity. The R-EGFET was selected as the detection platform because of its compact design, low cost, and high sensitivity. In addition, incorporating alternating-current electrothermal flow (ACEF) technology reduced the target binding time to 10 min, enabling rapid detection. Thereby, HPIV was detected based on electrical signal changes across the extended-gate membrane using Au microelectrodes. The limit of detection (LOD) of the HPIV HN protein was 22.254 fM in buffer and 36.202 fM in human serum. In clinically relevant samples, the sensor achieved LODs of 9.961 PFU per mL in artificial saliva and 15.273 PFU per mL in bronchoalveolar lavage fluid (BALF), highlighting its potential for practical diagnostic applications. Owing to its rapid detection and high selectivity, the proposed biosensor is expected to be useful for the clinical diagnosis of HPIV.
- This article is part of the themed collection: Optical nanomaterials for biomedical and environmental applications