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Article details
Title
Ultrasensitive Plasmonic Biosensors for Real-Time Parallel Detection of Alpha-L-Fucosidase and Cardiac-Troponin‑I in Whole Human Blood
Published in
Analytical Chemistry, June 2018
DOI 10.1021/acs.analchem.8b01816
Pubmed ID
Authors
Abstract

Cancers and many other diseases, such as hepatocellular carcinoma (HCC) and cardiovascular diseases (CVD), have threatened human lives for centuries. Therefore, a novel technique for such disease prediction, therefore, is in an urgent demand for timely treatment. Biomarkers - alpha-L-fucosidase (AFU) for HCC and cardiac troponin I (cTnI) for CVD - have proven to be essential in the role of disease detection. Herein, we report on an ultrasensitive plasmonic biosensor that converts plasmonic absorption to electrical current in order to detect AFU and cTnI using whole human blood in a real-time and parallel fashion. The detection limit was calculated to be 0.016 U/L for AFU and 0.015 ng/mL for cTnI, respectively. Combined with the versatility of the strategies for different biomarkers, these results demonstrate that the developed biosensor exhibits a promising application for the prediction of cancers and many other diseases.

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 6 21%
Student > Ph. D. Student 5 18%
Other 2 7%
Student > Bachelor 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 9 32%
Readers by discipline
Readers by discipline Count As %
Chemistry 6 21%
Physics and Astronomy 2 7%
Engineering 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 15 54%
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 16 June 2018.
All research outputs
#25,387,639
of 28,205,437 outputs
Outputs from Analytical Chemistry
#27,476
of 30,033 outputs
Outputs of similar age
#305,806
of 346,497 outputs
Outputs of similar age from Analytical Chemistry
#311
of 333 outputs
Altmetric has tracked 28,205,437 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 30,033 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 346,497 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 333 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.