| Title |
A sensitive and selective electrochemical biosensor for the determination of beta-amyloid oligomer by inhibiting the peptide-triggered in situ assembly of silver nanoparticles
|
|---|---|
| Published in |
International Journal of Nanomedicine, April 2017
|
| DOI | 10.2147/ijn.s132776 |
| Pubmed ID | |
| Authors |
Yun Xing, Xiao-Zhen Feng, Lipeng Zhang, Jiating Hou, Guo-Cheng Han, Zhencheng Chen |
| Abstract |
Soluble beta-amyloid (Aβ) oligomer is believed to be the most important toxic species in the brain of Alzheimer's disease (AD) patients. Thus, it is critical to develop a simple method for the selective detection of Aβ oligomer with low cost and high sensitivity. In this paper, we report an electrochemical method for the detection of Aβ oligomer with a peptide as the bioreceptor and silver nanoparticle (AgNP) aggregates as the redox reporters. This strategy is based on the conversion of AgNP-based colorimetric assay into electrochemical analysis. Specifically, the peptide immobilized on the electrode surface and presented in solution triggered together the in situ formation of AgNP aggregates, which produced a well-defined electrochemical signal. However, the specific binding of Aβ oligomer to the immobilized peptide prevented the in situ assembly of AgNPs. As a result, a poor electrochemical signal was observed. The detection limit of the method was found to be 6 pM. Furthermore, the amenability of this method for the analysis of Aβ oligomer in serum and artificial cerebrospinal fluid (aCSF) samples was demonstrated. |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 15% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Bachelor | 8 | 12% |
| Student > Doctoral Student | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 21 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Chemistry | 10 | 15% |
| Engineering | 6 | 9% |
| Agricultural and Biological Sciences | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 27 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 May 2017.
All research outputs
#4,837,286
of 25,382,440 outputs
Outputs from International Journal of Nanomedicine
#393
of 4,122 outputs
Outputs of similar age
#79,504
of 323,961 outputs
Outputs of similar age from International Journal of Nanomedicine
#13
of 100 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,122 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 88% of its peers.
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 323,961 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.