4.7 Article

Albumin testing in urine using a smart-phone

期刊

LAB ON A CHIP
卷 13, 期 21, 页码 4231-4238

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c3lc50785h

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资金

  1. Presidential Early Career Award for Scientists and Engineers (PECASE)
  2. Army Research Office (ARO) Life Sciences Division
  3. ARO Young Investigator Award
  4. National Science Foundation (NSF) CAREER Award
  5. NSF CBET Biophotonics Program
  6. Office of Naval Research (ONR) Young Investigator Award
  7. National Institutes of Health (NIH) Director's New Innovator Award from the Office of the Director, National Institutes of Health [DP2OD006427]
  8. Directorate For Engineering [0954482] Funding Source: National Science Foundation
  9. Div Of Chem, Bioeng, Env, & Transp Sys [0954482] Funding Source: National Science Foundation

向作者/读者索取更多资源

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 similar to 5 min per test (including the incubation time), we experimentally confirmed the detection limit of our sensing platform as 5-10 mu g 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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