Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy
We report two methods of surface enhanced Raman spectroscopy (SERS) for hemozoin detection in malaria infected human blood. In the first method, silver nanoparticles were synthesized separately and then mixed with lysed blood; while in the second method, silver nanoparticles were synthesized directl...
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sg-ntu-dr.10356-879552023-02-28T16:58:17Z Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy Chen, Keren Yuen, Clement Aniweh, Yaw Preiser, Peter Liu, Quan School of Biological Sciences Surface Enhanced Raman Spectroscopy Malaria Diagnosis We report two methods of surface enhanced Raman spectroscopy (SERS) for hemozoin detection in malaria infected human blood. In the first method, silver nanoparticles were synthesized separately and then mixed with lysed blood; while in the second method, silver nanoparticles were synthesized directly inside the parasites of Plasmodium falciparum. It was observed that the first method yields a smaller variation in SERS measurements and stronger correlation between the estimated contribution of hemozoin and the parasitemia level, which is preferred for the quantification of the parasitemia level. In contrast, the second method yields a higher sensitivity to a low parasitemia level thus could be more effective in the early malaria diagnosis to determine whether a given blood sample is positive. MOE (Min. of Education, S’pore) Published version 2018-08-17T03:44:58Z 2019-12-06T16:52:52Z 2018-08-17T03:44:58Z 2019-12-06T16:52:52Z 2016 Journal Article Chen, K., Yuen, C., Aniweh, Y., Preiser, P., & Liu, Q. (2016). Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy. Scientific Reports, 6, 20177-. 2045-2322 https://hdl.handle.net/10356/87955 http://hdl.handle.net/10220/45583 10.1038/srep20177 26858127 en Scientific Reports © 2017 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ 10 p. application/pdf |
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Surface Enhanced Raman Spectroscopy Malaria Diagnosis Chen, Keren Yuen, Clement Aniweh, Yaw Preiser, Peter Liu, Quan Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy |
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We report two methods of surface enhanced Raman spectroscopy (SERS) for hemozoin detection in malaria infected human blood. In the first method, silver nanoparticles were synthesized separately and then mixed with lysed blood; while in the second method, silver nanoparticles were synthesized directly inside the parasites of Plasmodium falciparum. It was observed that the first method yields a smaller variation in SERS measurements and stronger correlation between the estimated contribution of hemozoin and the parasitemia level, which is preferred for the quantification of the parasitemia level. In contrast, the second method yields a higher sensitivity to a low parasitemia level thus could be more effective in the early malaria diagnosis to determine whether a given blood sample is positive. |
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School of Biological Sciences |
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School of Biological Sciences Chen, Keren Yuen, Clement Aniweh, Yaw Preiser, Peter Liu, Quan |
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Article |
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Chen, Keren Yuen, Clement Aniweh, Yaw Preiser, Peter Liu, Quan |
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Chen, Keren |
title |
Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy |
title_short |
Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy |
title_full |
Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy |
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Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy |
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Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy |
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towards ultrasensitive malaria diagnosis using surface enhanced raman spectroscopy |
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2018 |
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https://hdl.handle.net/10356/87955 http://hdl.handle.net/10220/45583 |
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1759855549812310016 |