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Title: Enhancing malaria diagnosis through microfluidic cell enrichment and magnetic resonance relaxometry detection
Authors: Fook Kong, Tian
Ye, Weijian
Peng, Weng Kung
Hou, Han Wei
Preiser, Peter Rainer
Nguyen, Nam-Trung
Han, Jongyoon
Issue Date: 2015
Source: Fook Kong, T., Ye, W., Peng, W. K., Hou, H. W., Marcos, Preiser, P. R., et al. (2015). Enhancing malaria diagnosis through microfluidic cell enrichment and magnetic resonance relaxometry detection. Scientific Reports, 5, 11425-.
Series/Report no.: Scientific Reports
Abstract: Despite significant advancements over the years, there remains an urgent need for low cost diagnostic approaches that allow for rapid, reliable and sensitive detection of malaria parasites in clinical samples. Our previous work has shown that magnetic resonance relaxometry (MRR) is a potentially highly sensitive tool for malaria diagnosis. A key challenge for making MRR based malaria diagnostics suitable for clinical testing is the fact that MRR baseline fluctuation exists between individuals, making it difficult to detect low level parasitemia. To overcome this problem, it is important to establish the MRR baseline of each individual while having the ability to reliably determine any changes that are caused by the infection of malaria parasite. Here we show that an approach that combines the use of microfluidic cell enrichment with a saponin lysis before MRR detection can overcome these challenges and provide the basis for a highly sensitive and reliable diagnostic approach of malaria parasites. Importantly, as little as 0.0005% of ring stage parasites can be detected reliably, making this ideally suited for the detection of malaria parasites in peripheral blood obtained from patients. The approaches used here are envisaged to provide a new malaria diagnosis solution in the near future.
ISSN: 2045-2322
DOI: 10.1038/srep11425
Rights: 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
Fulltext Permission: open
Fulltext Availability: With Fulltext
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