↓ Skip to main content

Electrochemical bacterial detection using poly(3-aminophenylboronic acid)-based imprinted polymer

Overview of attention for article published in Biosensors & Bioelectronics, September 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
119 Dimensions

Readers on

mendeley
144 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Electrochemical bacterial detection using poly(3-aminophenylboronic acid)-based imprinted polymer
Published in
Biosensors & Bioelectronics, September 2016
DOI 10.1016/j.bios.2016.09.088
Pubmed ID
Authors

Mohsen Golabi, Filiz Kuralay, Edwin W H Jager, Valerio Beni, Anthony P F Turner

Abstract

Biosensors can deliver the rapid bacterial detection that is needed in many fields including food safety, clinical diagnostics, biosafety and biosecurity. Whole-cell imprinted polymers have the potential to be applied as recognition elements in biosensors for selective bacterial detection. In this paper, we report on the use of 3-aminophenylboronic acid (3-APBA) for the electrochemical fabrication of a cell-imprinted polymer (CIP). The use of a monomer bearing a boronic acid group, with its ability to specifically interact with cis-diol, allowed the formation of a polymeric network presenting both morphological and chemical recognition abilities. A particularly beneficial feature of the proposed approach is the reversibility of the cis-diol-boronic group complex, which facilitates easy release of the captured bacterial cells and subsequent regeneration of the CIP. Staphylococcus epidermidis was used as the model target bacteria for the CIP and electrochemical impedance spectroscopy (EIS) was explored for the label-free detection of the target bacteria. The modified electrodes showed a linear response over the range of 10(3)-10(7)cfu/mL. A selectivity study also showed that the CIP could discriminate its target from non-target bacteria having similar shape. The CIPs had high affinity and specificity for bacterial detection and provided a switchable interface for easy removal of bacterial cell.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 <1%
Unknown 143 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 22%
Student > Master 26 18%
Researcher 23 16%
Student > Bachelor 6 4%
Student > Doctoral Student 5 3%
Other 14 10%
Unknown 38 26%
Readers by discipline Count As %
Chemistry 30 21%
Engineering 16 11%
Materials Science 14 10%
Biochemistry, Genetics and Molecular Biology 12 8%
Agricultural and Biological Sciences 6 4%
Other 21 15%
Unknown 45 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 March 2017.
All research outputs
#15,168,964
of 25,371,288 outputs
Outputs from Biosensors & Bioelectronics
#4,140
of 6,846 outputs
Outputs of similar age
#182,583
of 330,638 outputs
Outputs of similar age from Biosensors & Bioelectronics
#64
of 126 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,846 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.