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An effective established biosensor of bifunctional probes-labeled AuNPs combined with LAMP for detection of fish pathogen Streptococcus iniae

Overview of attention for article published in Applied Microbiology and Biotechnology, April 2018
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Title
An effective established biosensor of bifunctional probes-labeled AuNPs combined with LAMP for detection of fish pathogen Streptococcus iniae
Published in
Applied Microbiology and Biotechnology, April 2018
DOI 10.1007/s00253-018-9016-3
Pubmed ID
Authors

Ya Zhou, Jingfan Xiao, Xin Ma, Qiyao Wang, Yuanxing Zhang

Abstract

In purpose of valid Streptococcus iniae detection, we established a colorimetric biosensor using gold nanoparticles (AuNPs) labeled with dual functional probes and along with loop-mediated isothermal amplification (LAMP) assay (LAMP-AuNPs). Based on the characteristics of self-aggregation and bio-conjugation with ligands, AuNPs were chosen for observable color change in tandem with LAMP amplification method to reach high sensitivity and easy operation. Meanwhile, the improvement of dual probes that could fully utilize the LAMP product gave the biosensor a stable result exhibition. LAMP-AuNPs targeting gene ftsB, one of the ATP transporter-related genes, turned out favorable specificity in cross reaction among other fish pathogens. The detect limit of 102 CFU revealed a better sensitivity compared with polymerase chain reaction (PCR) method and AuNPs lateral flow test strip (LFTS). It was also proved to be effective by zebrafish infection model trials with less than 2-h time consumption and nearly no devices which make it a convenient biosensor for point-to-care S. iniae detection.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 14%
Student > Bachelor 7 12%
Student > Master 7 12%
Student > Ph. D. Student 6 11%
Student > Postgraduate 2 4%
Other 5 9%
Unknown 22 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 21%
Agricultural and Biological Sciences 8 14%
Chemical Engineering 2 4%
Unspecified 2 4%
Engineering 2 4%
Other 6 11%
Unknown 25 44%