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...

Full description

Saved in:
Bibliographic Details
Main Authors: Chen, Keren, Yuen, Clement, Aniweh, Yaw, Preiser, Peter, Liu, Quan
Other Authors: School of Biological Sciences
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/87955
http://hdl.handle.net/10220/45583
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-87955
record_format dspace
spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Surface Enhanced Raman Spectroscopy
Malaria Diagnosis
spellingShingle 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
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.
author2 School of Biological Sciences
author_facet School of Biological Sciences
Chen, Keren
Yuen, Clement
Aniweh, Yaw
Preiser, Peter
Liu, Quan
format Article
author Chen, Keren
Yuen, Clement
Aniweh, Yaw
Preiser, Peter
Liu, Quan
author_sort 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
title_fullStr Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy
title_full_unstemmed Towards ultrasensitive malaria diagnosis using surface enhanced Raman spectroscopy
title_sort towards ultrasensitive malaria diagnosis using surface enhanced raman spectroscopy
publishDate 2018
url https://hdl.handle.net/10356/87955
http://hdl.handle.net/10220/45583
_version_ 1759855549812310016