| Title |
Development of a protein sensing device utilizing interactions between polyaniline and a polymer acid dopant
|
|---|---|
| Published in |
Biomedical Microdevices, February 2010
|
| DOI | 10.1007/s10544-010-9400-y |
| Pubmed ID | |
| Authors |
Carolyn L. Bayer, Alper A. Konuk, Nicholas A. Peppas |
| Abstract |
Human disease processes are often characterized by a deviation from the normal physiological concentration of critical biomarkers. The detection of disease biomarkers requires the development of novel sensing methods which are sensitive, specific, efficient and low-cost. To address this need, the ability of a device, which incorporates a film of polymer acid doped polyaniline, to respond to proteins at physiological pH and ionic strength was assessed. The conductive polymer was found to respond by changing conductivity in the presence of biomolecules, demonstrating a direct chemical to electronic transduction method. In future work, specificity can be incorporated into the system by integrating the conductive polymer with a protein selective film. The demonstration of a conductive polymer which is responsive to proteins at physiological conditions is a step towards the integration of these materials into implantable sensing systems. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 29% |
| Researcher | 4 | 29% |
| Student > Master | 3 | 21% |
| Professor | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 5 | 36% |
| Chemical Engineering | 2 | 14% |
| Engineering | 2 | 14% |
| Chemistry | 2 | 14% |
| Agricultural and Biological Sciences | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 14% |
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 01 September 2014.
All research outputs
#18,376,927
of 22,761,738 outputs
Outputs from Biomedical Microdevices
#611
of 746 outputs
Outputs of similar age
#84,921
of 93,839 outputs
Outputs of similar age from Biomedical Microdevices
#13
of 13 outputs
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