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Mendeley readers
| Title |
Comparison of culture-based, vital stain and PMA-qPCR methods for the quantitative detection of viable hookworm ova
|
|---|---|
| Published in |
Water Science & Technology, March 2017
|
| DOI | 10.2166/wst.2017.142 |
| Pubmed ID | |
| Authors |
P. Gyawali, J. P. S. Sidhu, W. Ahmed, P. Jagals, S. Toze |
| Abstract |
Accurate quantitative measurement of viable hookworm ova from environmental samples is the key to controlling hookworm re-infections in the endemic regions. In this study, the accuracy of three quantitative detection methods [culture-based, vital stain and propidium monoazide-quantitative polymerase chain reaction (PMA-qPCR)] was evaluated by enumerating 1,000 ± 50 Ancylostoma caninum ova in the laboratory. The culture-based method was able to quantify an average of 397 ± 59 viable hookworm ova. Similarly, vital stain and PMA-qPCR methods quantified 644 ± 87 and 587 ± 91 viable ova, respectively. The numbers of viable ova estimated by the culture-based method were significantly (P < 0.05) lower than vital stain and PMA-qPCR methods. Therefore, both PMA-qPCR and vital stain methods appear to be suitable for the quantitative detection of viable hookworm ova. However, PMA-qPCR would be preferable over the vital stain method in scenarios where ova speciation is needed. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 64% |
| Student > Master | 2 | 18% |
| Professor > Associate Professor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 27% |
| Environmental Science | 2 | 18% |
| Engineering | 2 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Immunology and Microbiology | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |