The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Rapid electrochemical detection on a mobile phone
Abstract
We present a compact mobile phone platform for rapid, quantitative biomolecular detection. This system consists of an embedded circuit for signal processing and data analysis, and disposable microfluidic chips for fluidic handling and biosensing. Capillary flow is employed for sample loading, processing, and pumping to enhance operational portability and simplicity. Graphical step-by-step instructions displayed on the phone assists the operator through the detection process. After the completion of each measurement, the results are displayed on the screen for immediate assessment and the data is automatically saved to the phone's memory for future analysis and transmission. Validation of this device was carried out by detecting Plasmodium falciparum histidine-rich protein 2 (PfHRP2), an important biomarker for malaria, with a lower limit of detection of 16 ng mL(-1) in human serum. The simple detection process can be carried out with two loading steps and takes 15 min to complete each measurement. Due to its compact size and high performance, this device offers immense potential as a widely accessible, point-of-care diagnostic platform, especially in remote and rural areas. In addition to its impact on global healthcare, this technology is relevant to other important applications including food safety, environmental monitoring and biosecurity.
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Citations
Cites
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Self-citationLab-on-a-chip devices for global health: Past studies and future opportunities
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Turning the Page: Advancing Paper-Based Microfluidics for Broad Diagnostic Application
Gong, M. M., & Sinton, D. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00024 · Cited by 573
Smartphone-based biosensors: A critical review and perspectives
Roda, A., Michelini, E., Zangheri, M., Di Fusco, M., Calabria, D., & Simoni, P. (2016) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2015.10.019 · Cited by 520
Mobile phones democratize and cultivate next-generation imaging, diagnostics and measurement tools
Ozcan, A. (2014) · Lab Chip · doi:10.1039/c4lc00010b · Cited by 364
Recent advances in cortisol sensing technologies for point-of-care application
Kaushik, A., Vasudev, A., Arya, S. K., Pasha, S. K., & Bhansali, S. (2014) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2013.09.060 · Cited by 316
Cellphone-based devices for bioanalytical sciences
Vashist, S. K., Mudanyali, O., Schneider, E. M., Zengerle, R., & Ozcan, A. (2014) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-013-7473-1 · Cited by 305
Metadata
- Authors
- Lillehoj, P. B., Huang, M.-C., Truong, N., & Ho, C.-M.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 13
- Issue
- 15
- Pages
- 2950
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W1989792472
- Cited by
- 259
- References
- 24
- FWCI
- 17.01
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
