| Title |
Biofluid pretreatment using gradient insulator-based dielectrophoresis: separating cells from biomarkers
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, August 2017
|
| DOI | 10.1007/s00216-017-0582-5 |
| Pubmed ID | |
| Authors |
Jie Ding, Christine Woolley, Mark A. Hayes |
| Abstract |
Blood is one of the most important biofluids used for clinical diagnostics. Cells and proteins in the blood can provide a rich source of information for the evaluation of human health. Efficient separation of blood components is a necessary process in order to minimize the interference of unwanted components during sensing, separation, and detection. In this paper, an insulator-based gradient dielectrophoretic device has been applied to separate red blood cells from model protein biomarkers for myocardial infarction in buffer. Within one min, red blood cells are largely depleted regardless of the minimum adherence on the channel wall. Considering the adhered red blood cells will not be transported further, a purified protein solution can be delivered for potential downstream processing or detection. Graphical Abstract ᅟ. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 41% |
| Student > Bachelor | 3 | 14% |
| Student > Master | 2 | 9% |
| Researcher | 2 | 9% |
| Professor | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 55% |
| Chemistry | 2 | 9% |
| Materials Science | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 5% |
| Chemical Engineering | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 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 18 October 2017.
All research outputs
#22,764,772
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Outputs from Analytical & Bioanalytical Chemistry
#7,543
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Outputs of similar age
#284,296
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Outputs of similar age from Analytical & Bioanalytical Chemistry
#110
of 172 outputs
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