Two-stage sample-to-answer system based on nucleic acid amplification approach for detection of malaria parasites

Two-stage sample-to-answer system based on nucleic acid amplification approach for detection of malaria parasites
Title:
Two-stage sample-to-answer system based on nucleic acid amplification approach for detection of malaria parasites
Other Titles:
Biosensors and Bioelectronics
Keywords:
Publication Date:
22 March 2016
Citation:
Qing Liu, Jeonghun Nam, Sangho Kim, Chwee Teck Lim, Mi Kyoung Park, Yong Shin, Two-stage sample-to-answer system based on nucleic acid amplification approach for detection of malaria parasites, Biosensors and Bioelectronics, Volume 82, 15 August 2016, Pages 1-8, ISSN 0956-5663, http://dx.doi.org/10.1016/j.bios.2016.03.050.
Abstract:
Rapid, early,and accurate diagnosis of malaria is essential for effective disease management and surveillance, and can reduce morbidity and mortality associated with the disease. Although significant advances have been achieved for the diagnosis of malaria, these technologies are still far from ideal, being time consuming, complex and poorly sensitive as well as requiring separate eassays for sample processing and detection. Therefore, the development of a fast and sensitive method that can integrate sample processing with detection of malarial infection is desirable. Here, we report a two-stage sample-to-answer system based on nucleic acid amplification approach for detection of malaria parasites. It combines the Dimethyl adipimidate (DMA)/Thin film Sample processing (DTS) technique as a first stage and the Mach-Zehnder Interferometer-Isothermal solid-phase DNA Amplification (MZI-IDA) sensing technique as a second stage. The system can extract DNA from malarial parasites using DTS technique in a closed system, not only reducing sample loss and contamination, but also facilitating the multiplexed malarial DNA detection using the fast and accurate MZI-IDA technique. Here, we demonstrated that this systemc an deliver results within 60 min (including sample processing, amplification and detection) with high sensitivity(o1 parasite μL 1) in a label-free and real-time manner. The developed system would be of great potential for better diagnosis of malaria in low-resource settings.
License type:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Funding Info:
Description:
ISSN:
0956-5663
1873-4235
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