Sample-to-answer mobile malaria molecular diagnositstic system for resource-limiting areas

Gihoon Choi; Daniel Song; Sony Shrestha; Jun Miao; Liwang Cui; Weihua Guan

doi:10.1109/MEMSYS.2017.7863449

Sample-to-answer mobile malaria molecular diagnositstic system for resource-limiting areas

Gihoon Choi
, Daniel Song
, Sony Shrestha
, Jun Miao
, Liwang Cui
, Weihua Guan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This work reports a field-deployable 'sample-to-answer' molecular diagnostic system (AnyMDx) for species-specific malaria detection at the point of need. The portable nucleic acid diagnostic system uses a disposable microfluidic disc, which incorporates integrated sample preparation steps of DNA extraction, purification, elution, and amplification. Built on our previous success with highly sensitive singleplex P. falciparum detection (low detection limit of ∼0.6 parasites/μl) [1], here we report the specificity performances of AnyMDx for distinguishing two of the most common endemic malaria species (P. falciparum and P. vivax). The AnyMDx system is fully automated and delivers real-time multiplexed species-specific molecular answers directly from the raw blood samples within 40 minutes without any requirement of laboratory infrastructures.

Original language	English (US)
Title of host publication	2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	486-489
Number of pages	4
ISBN (Electronic)	9781509050789
DOIs	https://doi.org/10.1109/MEMSYS.2017.7863449
State	Published - Feb 23 2017
Event	30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017 - Las Vegas, United States Duration: Jan 22 2017 → Jan 26 2017

Publication series

Name	Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
ISSN (Print)	1084-6999

Other

Other	30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017
Country/Territory	United States
City	Las Vegas
Period	1/22/17 → 1/26/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Mechanical Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/MEMSYS.2017.7863449

Cite this

Choi, G., Song, D., Shrestha, S., Miao, J., Cui, L., & Guan, W. (2017). Sample-to-answer mobile malaria molecular diagnositstic system for resource-limiting areas. In 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017 (pp. 486-489). Article 7863449 (Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEMSYS.2017.7863449

Choi, Gihoon ; Song, Daniel ; Shrestha, Sony et al. / Sample-to-answer mobile malaria molecular diagnositstic system for resource-limiting areas. 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 486-489 (Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)).

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title = "Sample-to-answer mobile malaria molecular diagnositstic system for resource-limiting areas",

abstract = "This work reports a field-deployable 'sample-to-answer' molecular diagnostic system (AnyMDx) for species-specific malaria detection at the point of need. The portable nucleic acid diagnostic system uses a disposable microfluidic disc, which incorporates integrated sample preparation steps of DNA extraction, purification, elution, and amplification. Built on our previous success with highly sensitive singleplex P. falciparum detection (low detection limit of ∼0.6 parasites/μl) [1], here we report the specificity performances of AnyMDx for distinguishing two of the most common endemic malaria species (P. falciparum and P. vivax). The AnyMDx system is fully automated and delivers real-time multiplexed species-specific molecular answers directly from the raw blood samples within 40 minutes without any requirement of laboratory infrastructures.",

author = "Gihoon Choi and Daniel Song and Sony Shrestha and Jun Miao and Liwang Cui and Weihua Guan",

year = "2017",

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series = "Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)",

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booktitle = "2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017",

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note = "30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017 ; Conference date: 22-01-2017 Through 26-01-2017",

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Choi, G, Song, D, Shrestha, S, Miao, J, Cui, L & Guan, W 2017, Sample-to-answer mobile malaria molecular diagnositstic system for resource-limiting areas. in 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017., 7863449, Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS), Institute of Electrical and Electronics Engineers Inc., pp. 486-489, 30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017, Las Vegas, United States, 1/22/17. https://doi.org/10.1109/MEMSYS.2017.7863449

Sample-to-answer mobile malaria molecular diagnositstic system for resource-limiting areas. / Choi, Gihoon; Song, Daniel; Shrestha, Sony et al.
2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 486-489 7863449 (Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Sample-to-answer mobile malaria molecular diagnositstic system for resource-limiting areas

AU - Choi, Gihoon

AU - Song, Daniel

AU - Shrestha, Sony

AU - Miao, Jun

AU - Cui, Liwang

AU - Guan, Weihua

PY - 2017/2/23

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N2 - This work reports a field-deployable 'sample-to-answer' molecular diagnostic system (AnyMDx) for species-specific malaria detection at the point of need. The portable nucleic acid diagnostic system uses a disposable microfluidic disc, which incorporates integrated sample preparation steps of DNA extraction, purification, elution, and amplification. Built on our previous success with highly sensitive singleplex P. falciparum detection (low detection limit of ∼0.6 parasites/μl) [1], here we report the specificity performances of AnyMDx for distinguishing two of the most common endemic malaria species (P. falciparum and P. vivax). The AnyMDx system is fully automated and delivers real-time multiplexed species-specific molecular answers directly from the raw blood samples within 40 minutes without any requirement of laboratory infrastructures.

AB - This work reports a field-deployable 'sample-to-answer' molecular diagnostic system (AnyMDx) for species-specific malaria detection at the point of need. The portable nucleic acid diagnostic system uses a disposable microfluidic disc, which incorporates integrated sample preparation steps of DNA extraction, purification, elution, and amplification. Built on our previous success with highly sensitive singleplex P. falciparum detection (low detection limit of ∼0.6 parasites/μl) [1], here we report the specificity performances of AnyMDx for distinguishing two of the most common endemic malaria species (P. falciparum and P. vivax). The AnyMDx system is fully automated and delivers real-time multiplexed species-specific molecular answers directly from the raw blood samples within 40 minutes without any requirement of laboratory infrastructures.

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Choi G, Song D, Shrestha S, Miao J, Cui L, Guan W. Sample-to-answer mobile malaria molecular diagnositstic system for resource-limiting areas. In 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 486-489. 7863449. (Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)). doi: 10.1109/MEMSYS.2017.7863449

Sample-to-answer mobile malaria molecular diagnositstic system for resource-limiting areas

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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