Visible Light-Driven Self-Powered Device Based on a Straddling Nano-Heterojunction and Bio-Application for the Quantitation of Exosomal RNA.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 30672682.
- Also identified by DOI 10.1021/acsnano.8b07944 and PMC identifier 6613566.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
This paper reports the design and fabrication of a self-powered biosensing device based on TiO<sub>2</sub> nanosilks (NSs)@MoS<sub>2</sub> quantum dots (QDs) and demonstrates a bioapplication for the quantitative detection of exosomal RNA ( Homo sapiens HOXA distal transcript antisense RNA, HOTTIP). This self-powered device features enhanced power output compared to TiO<sub>2</sub> NSs alone. This is attributed to the formation of a heterojunction structure with suitable band offset derived from the hybridization between TiO<sub>2</sub> NSs and MoS<sub>2</sub> QDs, i.e., the straddling (Type I) band alignment. The sensitization effect and excellent visible light absorption provided by MoS<sub>2</sub> QDs can prolong interfacial carrier lifetime and improve energy conversion efficiency. This self-powered biosensing device has been successfully applied in quantitative HOTTIP detection through effective hybridization between a capture probe and HOTTIP. The successful capture of HOTTIP leads to a sequential decrease in power output, which is utilized for ultrasensitive quantitative HOTTIP detection, with a linear relationship of power output change versus the logarithm of HOTTIP concentration ranging from 5 fg/mL to 50 000 ng/mL and a detection limit as low as 5 fg/mL. This TiO<sub>2</sub> NSs@MoS<sub>2</sub> QDs-based nanomaterial has excellent potential for a superior self-powered device characterized by economical and portable self-powered biosensing. Moreover, this self-powered, visible-light-driven device shows promising applications for cancer biomarker quantitative detection.
Medical subject headings
- Exosomes
- Light
- Nanostructures
- RNA