Mobile all-in-one malaria molecular diagnosis for field deployment in resource-limited areas

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents a 'sample-in-answer-out' molecular diagnostic system (AnyMDx) for blood-born malaria detection at the point of care, especially in resource-limiting settings. AnyMDx consists of a microfluidic reagent compact disk incorporating seamlessly integrated steps of DNA extraction, purification, elution, and amplification, as well as a mobile battery-powered analyzer. Low power thermal module and novel fluorescence sensing module are integrated into the analyzer for real-time monitoring of loop-mediated isothermal nucleic acid amplification (LAMP). The AnyMDx has an assay detection limit of ∼0.6 parasites/μL against blood P. falciparum parasites, much lower than conventional microscope-based method (∼50 parasites/μL) and immunoassay based RTD (∼100 parasites/μL). AnyMDx is fully automated and thus is easily accessible to non-specialist with minimal molecular training. The sample-to-answer turnaround time for AnyMDx is less than 40 minutes.

Original languageEnglish (US)
Title of host publication2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages212-215
Number of pages4
ISBN (Electronic)9781509011667
DOIs
StatePublished - Dec 27 2016
Event2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016 - Cancun, Mexico
Duration: Nov 9 2016Nov 11 2016

Publication series

Name2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016

Other

Other2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
CountryMexico
CityCancun
Period11/9/1611/11/16

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Medicine (miscellaneous)

Cite this

Choi, G., Song, D., Miao, J., Cui, L., & Guan, W. (2016). Mobile all-in-one malaria molecular diagnosis for field deployment in resource-limited areas. In 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016 (pp. 212-215). [7797734] (2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HIC.2016.7797734