| Literature DB >> 32892935 |
Tao Li1, Gaozhi Ou2, Xuliang Chen3, Zheyu Li1, Rui Hu1, Ying Li4, Yunhuang Yang5, Maili Liu1.
Abstract
Fast and sensitive detection of E.coli O157: H7 is significantly essential for clinical management as well as for transmission prevention during disease outbreaks. Though many types of detection strategies have been implemented for measuring E.coli O157: H7, most of them still rely on complex instruments or tedious/laborious setups, which restrict their applications in resource-limited scenarios. Herein, we introduce an eye-based microfluidic aptasensor (EA-Sensor) for fast detection of E.coli O157: H7 without the assist of any instruments. We demonstrate the perfect coupling of aptamer sensing, hybridization chain reaction (HCR)-amplification and a distance-based visualized readout to quantitatively determine the pathogen concentration. We first used gel-electrophoresis assay to evaluate the system and the results proved that E.coli O157: H7 was well recognized by the aptamer and HCR could increase the signal by about 100 folds. In addition, the Aptamer specificity and signal-amplification ability were verified on the EA-Sensor for sensing E.coli O157: H7 by naked eyes. Furthermore, we demonstrated that E.coli O157: H7 in milk could be accurately and conveniently measured with good performance. With the benefits of operation integration and strategy integration, our EA-Sensor shows advantages of high specificity, easy operation, efficient amplification and visualized readout, which offers a favorable point-of-care tool for E.coli O157: H7 or other pathogen detection in resource-constrained settings.Entities:
Keywords: Aptasensor; E.coli O157; H7; Hybridization chain reaction; Microfluidics; Point-of-care detection
Mesh:
Year: 2020 PMID: 32892935 DOI: 10.1016/j.aca.2020.07.031
Source DB: PubMed Journal: Anal Chim Acta ISSN: 0003-2670 Impact factor: 6.558