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Synthesis of two-dimensional graphene oxide-fluorescent nanoprobe for ultrasensitive and multiplex immunochromatographic detection of respiratory bacteria.

Authors :
Cheng, Xiaodan
Zheng, Shuai
Wang, Wenqi
Han, Han
Yang, Xingsheng
Shen, Wanzhu
Wang, Chongwen
Wang, Shengqi
Source :
Chemical Engineering Journal. Dec2021, Vol. 426, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

[Display omitted] • Two-dimensional GO-QD nanoflakes were fabricated as flexible nanoprobes for bacteria. • GO-based nanoprobe with fluorescence-enhanced ability was firstly introduced into ICA strip. • The developed biosensor detected S. pneumoniae and S. aureus with LOD values of 13 and 20 cells/mL, respectively. • This is the first work to achieve two respiratory bacteria simultaneous detection via ICA. Respiratory pathogens including a variety of bacteria and viruses are highly infectious to human, cause similar clinical symptoms, and pose serious threats to public health globally. Early and accurate identification of respiratory bacteria from other pathogens is crucial for guiding the rational use of antibiotics and controlling the epidemic spread. Here, we developed a multiplexed fluorescent immunochromatographic assay (ICA) for ultrasensitive qualification of respiratory bacteria in biological samples with high accuracy. A novel two-dimensional graphene oxide (GO)-based quantum dot (QD) nanoflake was designed as film-like immunoprobe to efficiently and closely stick onto target bacteria surface, which not only provide superior fluorescence signal but also ensure the liquidity of the captured bacteria for ICA detection. By combining the GO-QD nanoflakes and ICA strip, the proposed method enables the simultaneous detection of two common respiratory bacteria, namely Streptococcus pneumoniae (S. pneumoniae) and Staphylococcus aureus (S. aureus) in biological samples with low detection limit (13, 20 cells/mL), fast detection speed (20 min), good reproducibility (RSD < 4.2 %), and high specificity. The excellent performance of our proposed GO-QD-ICA suggests its great potential for rapid and ultrasensitive diagnosis of real respiratory tract samples. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13858947
Volume :
426
Database :
Academic Search Index
Journal :
Chemical Engineering Journal
Publication Type :
Academic Journal
Accession number :
153371506
Full Text :
https://doi.org/10.1016/j.cej.2021.131836