Journal article
Smartphone-Based Mobile Detection Platform for Molecular Diagnostics and Spatiotemporal Disease Mapping
Analytical chemistry (Washington), v 90(7), pp 4823-4831
03 Apr 2018
PMID: 29542319
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Rapid and quantitative molecular diagnostics in the field, at home, and at remote clinics is essential for evidence-based disease management, control, and prevention. Conventional molecular diagnostics requires extensive sample preparation, relatively sophisticated instruments, and trained personnel, restricting its use to centralized laboratories. To overcome these limitations, we designed a simple, inexpensive, hand-held, smartphone-based mobile detection platform, dubbed "smart-connected cup" (SCC), for rapid, connected, and quantitative molecular diagnostics. Our platform combines bioluminescent assay in real-time and loop-mediated isothermal amplification (BART-LAMP) technology with smartphone-based detection, eliminating the need for an excitation source and optical filters that are essential in fluorescent-based detection. The incubation heating for the isothermal amplification is provided, electricity-free, with an exothermic chemical reaction, and incubation temperature is regulated with a phase change material. A custom Android App was developed for bioluminescent signal monitoring and analysis, target quantification, data sharing, and spatiotemporal mapping of disease. SCC's utility is demonstrated by quantitative detection of Zika virus (ZIKV) in urine and saliva and HIV in blood within 45 min. We demonstrate SCC's connectivity for disease spatiotemporal mapping with a custom-designed website. Such a smart- and connected-diagnostic system does not require any lab facilities and is suitable for use at home, in the field, in the clinic, and particularly in resource-limited settings in the context of Internet of Medical Things (IoMT).
Metrics
Details
- Title
- Smartphone-Based Mobile Detection Platform for Molecular Diagnostics and Spatiotemporal Disease Mapping
- Creators
- Jinzhao Song - University of PennsylvaniaVikram Pandian - University of PennsylvaniaMichael G. Mauk - Univ Penn, Dept Mech Engn & Appl Mech, Philadelphia, PA 19104 USAHaim H. Bau - University of PennsylvaniaSara Cherry - University of PennsylvaniaLaurence C. Tisi - European Bioinformatics InstituteChangchun Liu - University of Pennsylvania
- Publication Details
- Analytical chemistry (Washington), v 90(7), pp 4823-4831
- Publisher
- American Chemical Society; Washington, DC
- Number of pages
- 9
- Grant note
- R21DE026700 / NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Dental & Craniofacial Research (NIDCR) R01EB023607 / NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Biomedical Imaging & Bioengineering (NIBIB) R21TW010625 / FOGARTY INTERNATIONAL CENTER; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Fogarty International Center (FIC) R01CA214072; R01EB023607; R21DE026700; 1R21AI128059-A1; R21TW010625 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA R01CA214072 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) R21AI128059 / NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID) AID-OAA-A-11-00012 / NAS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Engineering Technology
- Web of Science ID
- WOS:000429385800080
- Scopus ID
- 2-s2.0-85045005776
- Other Identifier
- 991020623910904721
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- Collaboration types
- International collaboration
- Web of Science research areas
- Chemistry, Analytical