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.
Mendeley readers
| Title |
Disposable microfluidic micromixers for effective capture of Cryptosporidium parvum oocysts from water samples
|
|---|---|
| Published in |
Journal of Biological Engineering, March 2018
|
| DOI | 10.1186/s13036-018-0095-6 |
| Pubmed ID | |
| Authors |
L. Diéguez, M. Winter, S. Molan, P. Monis, B. King, B. Thierry |
| Abstract |
Protecting drinking water supplies from pathogens such as Cryptosporidium parvum is a major concern for water utilities worldwide. The sensitivity and specificity of current detection methods are largely determined by the effectiveness of the concentration and separation methods used. The purpose of this study is to develop micromixers able to specifically isolate and concentrate Cryptosporidium, while allowing in situ analysis. In this study, disposable microfluidic micromixers were fabricated to effectively isolate Cryptosporidium parvum oocysts from water samples, while allowing direct observation and enabling quantification of oocysts captured in the device using high quality immunofluorescence microscopy. In parallel, quantitative analysis of the capture yield was carried out by analyzing the waste from the microfluidics outlet with an Imaging Flow Cytometer. At the optimal flow rate, capture efficiencies up to 96% were achieved in spiked samples. Scaled microfluidic isolation and detection of Cryptosporidium parvum will provide a faster and more efficient detection method for Cryptosporidium compared to other available laboratory-scale technologies. |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 35% |
| Student > Ph. D. Student | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 16% |
| Engineering | 4 | 13% |
| Chemical Engineering | 2 | 6% |
| Physics and Astronomy | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 8 | 26% |
| Unknown | 9 | 29% |