The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Smartphone based health accessory for colorimetric detection of biomarkers in sweat and saliva
Abstract
The mobile health market is rapidly expanding and portable diagnostics tools offer an opportunity to decrease costs and increase the availability of healthcare. Here we present a smartphone based accessory and method for the rapid colorimetric detection of pH in sweat and saliva. Sweat pH can be correlated to sodium concentration and sweat rate in order to indicate to users the proper time to hydrate during physical exercise and avoid the risk of muscle cramps. Salivary pH below a critical threshold is correlated with enamel decalcification, an acidic breakdown of calcium in the teeth. We conduct a number of human trials with the device on a treadmill to demonstrate the ability to monitor changes in sweat pH due to exercise and electrolyte intake and predict optimal hydration. Additionally, we perform trials to measure salivary pH over time to monitor the effects of diet on oral health risks.
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Cites
Variations in Regional Sweat Composition in Normal Human Males
Patterson, M. J., Galloway, S. D. R., & Nimmo, M. A. (2000) · Experimental Physiology · doi:10.1111/j.1469-445x.2000.02058.x · Cited by 438
Acute effects of dehydration on sweat composition in men during prolonged exercise in the heat
Morgan, R. M., Patterson, M. J., & Nimmo, M. A. (2004) · Acta Physiologica Scandinavica · doi:10.1111/j.1365-201x.2004.01305.x · Cited by 192
Sodium ion concentration vs. sweat rate relationship in humans
Buono, M. J., Ball, K. D., & Kolkhorst, F. W. (2007) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00015.2007 · Cited by 186
Cited by
Wearable biosensors for healthcare monitoring
Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373
A soft, wearable microfluidic device for the capture, storage, and colorimetric sensing of sweat
Koh, A., Kang, D., Xue, Y., Lee, S., Pielak, R. M., Kim, J., Hwang, T., Min, S., Banks, A., Bastien, P., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf2593 · Cited by 1,308
Sonner, Z., Wilder, E., Heikenfeld, J., Kasting, G., Beyette, F., Swaile, D., Sherman, F., Joyce, J., Hagen, J., Kelley-Loughnane, N., et al. (2015) · Biomicrofluidics · doi:10.1063/1.4921039 · Cited by 724
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
Martín, A., Kim, J., Kurniawan, J. F., Sempionatto, J. R., Moreto, J. R., Tang, G., Campbell, A. S., Shin, A., Lee, M. Y., Liu, X., et al. (2017) · ACS Sensors · doi:10.1021/acssensors.7b00729 · Cited by 475
Metadata
- Authors
- Oncescu, V., O'Dell, D., & Erickson, D.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 13
- Issue
- 16
- Pages
- 3232
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2130329278
- Cited by
- 362
- References
- 3
- FWCI
- 19.49
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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