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Ultrasensitive and rapid count of Escherichia coli using magnetic nanoparticle probe under dark-field microscope

Overview of attention for article published in BMC Microbiology, September 2018
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Title
Ultrasensitive and rapid count of Escherichia coli using magnetic nanoparticle probe under dark-field microscope
Published in
BMC Microbiology, September 2018
DOI 10.1186/s12866-018-1241-5
Pubmed ID
Authors

Haixu Xu, Fang Tang, Jianjun Dai, Chengming Wang, Xin Zhou

Abstract

Escherichia coli (E. coli) is one of the best-known zoonotic bacterial species, which pathogenic strain can cause infections in humans and animals. However, existing technologies or methods are deficient for quickly on-site identifying infection of E. coli before they breakout. Herein, we present an ultrasensitive and on-site method for counting E. coli using magnetic nanoparticle (MNP) probe under a dark-field in 30 min. The antibodies functionalized MNP, binding to E. coli to form a golden ring-like structure under a dark-field microscope, allowing for counting E. coli. This method via counting MNP-conjugated E. coli under dark-field microscope demonstrated the sensitivity of 6 CFU/μL for E. coli detection. Importantly, due to the advantages such as time-saving (only 30 min) and almost free of instrument (only require a portable microscope), our MNP-labeled dark-field counting strategy has the potential of being a universal tool for on-site quantifying a variety of pathogens with size ranges from a few hundreds of nanometers to a few micrometers. In summary, the MNP-labeled dark-field counting strategy is a rapid, simple, sensitive as well as low-cost assay strategy, which has the potential of being a universal tool for on-site quantification of micrometer-size pathogens like E. coli.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Student > Bachelor 3 12%
Lecturer 2 8%
Student > Master 2 8%
Professor 1 4%
Other 3 12%
Unknown 7 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 24%
Physics and Astronomy 2 8%
Materials Science 2 8%
Immunology and Microbiology 2 8%
Agricultural and Biological Sciences 2 8%
Other 6 24%
Unknown 5 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 September 2018.
All research outputs
#20,532,290
of 23,102,082 outputs
Outputs from BMC Microbiology
#2,708
of 3,217 outputs
Outputs of similar age
#292,299
of 335,675 outputs
Outputs of similar age from BMC Microbiology
#49
of 58 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,217 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.