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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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Detalles Bibliográficos
Autores principales: Chen, Keren, Yuen, Clement, Aniweh, Yaw, Preiser, Peter, Liu, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746575/
https://www.ncbi.nlm.nih.gov/pubmed/26858127
http://dx.doi.org/10.1038/srep20177
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author Chen, Keren
Yuen, Clement
Aniweh, Yaw
Preiser, Peter
Liu, Quan
author_facet Chen, Keren
Yuen, Clement
Aniweh, Yaw
Preiser, Peter
Liu, Quan
author_sort Chen, Keren
collection PubMed
description 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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spelling pubmed-47465752016-02-17 Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy Chen, Keren Yuen, Clement Aniweh, Yaw Preiser, Peter Liu, Quan Sci Rep Article 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. Nature Publishing Group 2016-02-09 /pmc/articles/PMC4746575/ /pubmed/26858127 http://dx.doi.org/10.1038/srep20177 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ 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/
spellingShingle Article
Chen, Keren
Yuen, Clement
Aniweh, Yaw
Preiser, Peter
Liu, Quan
Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy
title Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy
title_full Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy
title_fullStr Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy
title_full_unstemmed Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy
title_short Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy
title_sort towards ultrasensitive malaria diagnosis using surface enhanced raman spectroscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746575/
https://www.ncbi.nlm.nih.gov/pubmed/26858127
http://dx.doi.org/10.1038/srep20177
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