The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Albumin testing in urine using a smart-phone
Open accessAbstract
We demonstrate a digital sensing platform, termed Albumin Tester, running on a smart-phone that images and automatically analyses fluorescent assays confined within disposable test tubes for sensitive and specific detection of albumin in urine. This light-weight and compact Albumin Tester attachment, weighing approximately 148 grams, is mechanically installed on the existing camera unit of a smart-phone, where test and control tubes are inserted from the side and are excited by a battery powered laser diode. This excitation beam, after probing the sample of interest located within the test tube, interacts with the control tube, and the resulting fluorescent emission is collected perpendicular to the direction of the excitation, where the cellphone camera captures the images of the fluorescent tubes through the use of an external plastic lens that is inserted between the sample and the camera lens. The acquired fluorescent images of the sample and control tubes are digitally processed within one second through an Android application running on the same cellphone for quantification of albumin concentration in the urine specimen of interest. Using a simple sample preparation approach which takes ~5 min per test (including the incubation time), we experimentally confirmed the detection limit of our sensing platform as 5-10 μg mL(-1) (which is more than 3 times lower than the clinically accepted normal range) in buffer as well as urine samples. This automated albumin testing tool running on a smart-phone could be useful for early diagnosis of kidney disease or for monitoring of chronic patients, especially those suffering from diabetes, hypertension, and/or cardiovascular diseases.
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Cites
Prevalence of Chronic Kidney Disease in the United States
Coresh, J., Selvin, E., Stevens, L. A., Manzi, J., Kusek, J. W., Eggers, P., Van Lente, F., & Levey, A. S. (2007) · JAMA · doi:10.1001/jama.298.17.2038 · Cited by 4,895
Serum Albumin Level and Physical Disability as Predictors of Mortality in Older Persons
Corti, M.-C. (1994) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1994.03520130074036 · Cited by 672
Integrated rapid-diagnostic-test reader platform on a cellphone
Mudanyali, O., Dimitrov, S., Sikora, U., Padmanabhan, S., Navruz, I., & Ozcan, A. (2012) · Lab on a Chip · doi:10.1039/c2lc40235a · Cited by 426
Cited by
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
Point-of-Care Diagnostics: Recent Developments in a Connected Age
Nayak, S., Blumenfeld, N. R., Laksanasopin, T., & Sia, S. K. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.6b04630 · Cited by 508
Mobile phones democratize and cultivate next-generation imaging, diagnostics and measurement tools
Ozcan, A. (2014) · Lab Chip · doi:10.1039/c4lc00010b · Cited by 364
Self-citationLab-on-chip technology for chronic disease diagnosis
Wu, J., Dong, M., Rigatto, C., Liu, Y., & Lin, F. (2018) · npj Digital Medicine · doi:10.1038/s41746-017-0014-0 · Cited by 170
The Current State of Optical Sensors in Medical Wearables
Vavrinsky, E., Esfahani, N. E., Hausner, M., Kuzma, A., Rezo, V., Donoval, M., & Kosnacova, H. (2022) · Biosensors · doi:10.3390/bios12040217 · Cited by 103
Metadata
- Authors
- Coskun, A. F., Nagi, R., Sadeghi, K., Phillips, S., & Ozcan, A.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 13
- Issue
- 21
- Pages
- 4231
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2161994473
- Cited by
- 208
- References
- 3
- FWCI
- 14.35
- Type
- journal article
- Language
- en
- Open access
- green
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