Literature DB >> 23995895

Albumin testing in urine using a smart-phone.

Ahmet F Coskun1, Richie Nagi, Kayvon Sadeghi, Stephen Phillips, Aydogan Ozcan.   

Abstract

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.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23995895      PMCID: PMC3810448          DOI: 10.1039/c3lc50785h

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  51 in total

1.  Measurement of microalbuminuria--what the nephrologist should know.

Authors:  Josep Redon
Journal:  Nephrol Dial Transplant       Date:  2005-12-29       Impact factor: 5.992

2.  Smart-phone based computational microscopy using multi-frame contact imaging on a fiber-optic array.

Authors:  Isa Navruz; Ahmet F Coskun; Justin Wong; Saqib Mohammad; Derek Tseng; Richie Nagi; Stephen Phillips; Aydogan Ozcan
Journal:  Lab Chip       Date:  2013-08-12       Impact factor: 6.799

3.  Lensfree microscopy on a cellphone.

Authors:  Derek Tseng; Onur Mudanyali; Cetin Oztoprak; Serhan O Isikman; Ikbal Sencan; Oguzhan Yaglidere; Aydogan Ozcan
Journal:  Lab Chip       Date:  2010-05-06       Impact factor: 6.799

4.  Detection of chronic kidney disease with creatinine, cystatin C, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality.

Authors:  Carmen A Peralta; Michael G Shlipak; Suzanne Judd; Mary Cushman; William McClellan; Neil A Zakai; Monika M Safford; Xiao Zhang; Paul Muntner; David Warnock
Journal:  JAMA       Date:  2011-04-11       Impact factor: 56.272

5.  Evaluation of measures of urinary albumin excretion.

Authors:  Ronald T Gansevoort; Jacoline Brinkman; Stephan J L Bakker; Paul E De Jong; Dick de Zeeuw
Journal:  Am J Epidemiol       Date:  2006-08-25       Impact factor: 4.897

6.  Use of single voided urine samples to estimate quantitative proteinuria.

Authors:  J M Ginsberg; B S Chang; R A Matarese; S Garella
Journal:  N Engl J Med       Date:  1983-12-22       Impact factor: 91.245

7.  Optofluidic fluorescent imaging cytometry on a cell phone.

Authors:  Hongying Zhu; Sam Mavandadi; Ahmet F Coskun; Oguzhan Yaglidere; Aydogan Ozcan
Journal:  Anal Chem       Date:  2011-08-02       Impact factor: 6.986

8.  A personalized food allergen testing platform on a cellphone.

Authors:  Ahmet F Coskun; Justin Wong; Delaram Khodadadi; Richie Nagi; Andrew Tey; Aydogan Ozcan
Journal:  Lab Chip       Date:  2013-02-21       Impact factor: 6.799

9.  Chronic kidney disease as a global public health problem: approaches and initiatives - a position statement from Kidney Disease Improving Global Outcomes.

Authors:  A S Levey; R Atkins; J Coresh; E P Cohen; A J Collins; K-U Eckardt; M E Nahas; B L Jaber; M Jadoul; A Levin; N R Powe; J Rossert; D C Wheeler; N Lameire; G Eknoyan
Journal:  Kidney Int       Date:  2007-06-13       Impact factor: 10.612

10.  Plasma lipid and coagulation factor concentrations in insulin dependent diabetics with microalbuminuria.

Authors:  S L Jones; C F Close; M B Mattock; R J Jarrett; H Keen; G C Viberti
Journal:  BMJ       Date:  1989-02-25
View more
  29 in total

1.  Quantification of plant chlorophyll content using Google Glass.

Authors:  Bingen Cortazar; Hatice Ceylan Koydemir; Derek Tseng; Steve Feng; Aydogan Ozcan
Journal:  Lab Chip       Date:  2015-02-11       Impact factor: 6.799

2.  3D-Printed Fluidic Devices for Nanoparticle Preparation and Flow-Injection Amperometry Using Integrated Prussian Blue Nanoparticle-Modified Electrodes.

Authors:  Gregory W Bishop; Jennifer E Satterwhite; Snehasis Bhakta; Karteek Kadimisetty; Kelsey M Gillette; Eric Chen; James F Rusling
Journal:  Anal Chem       Date:  2015-05-01       Impact factor: 6.986

3.  Automated 3D-printed unibody immunoarray for chemiluminescence detection of cancer biomarker proteins.

Authors:  C K Tang; A Vaze; J F Rusling
Journal:  Lab Chip       Date:  2017-01-31       Impact factor: 6.799

Review 4.  Current state of the art for enhancing urine biomarker discovery.

Authors:  Michael Harpole; Justin Davis; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2016-06       Impact factor: 3.940

Review 5.  Novel developments in mobile sensing based on the integration of microfluidic devices and smartphones.

Authors:  Ke Yang; Hagit Peretz-Soroka; Yong Liu; Francis Lin
Journal:  Lab Chip       Date:  2016-02-22       Impact factor: 6.799

6.  Smartphone-based diagnostic for preeclampsia: an mHealth solution for administering the Congo Red Dot (CRD) test in settings with limited resources.

Authors:  Stephan Michael Jonas; Thomas Martin Deserno; Catalin Sorin Buhimschi; Jennifer Makin; Michael Andrew Choma; Irina Alexandra Buhimschi
Journal:  J Am Med Inform Assoc       Date:  2015-05-29       Impact factor: 4.497

7.  Automated 3-D Printed Arrays to Evaluate Genotoxic Chemistry: E-Cigarettes and Water Samples.

Authors:  Karteek Kadimisetty; Spundana Malla; James F Rusling
Journal:  ACS Sens       Date:  2017-05-02       Impact factor: 7.711

8.  3D-printed supercapacitor-powered electrochemiluminescent protein immunoarray.

Authors:  Karteek Kadimisetty; Islam M Mosa; Spundana Malla; Jennifer E Satterwhite-Warden; Tyler M Kuhns; Ronaldo C Faria; Norman H Lee; James F Rusling
Journal:  Biosens Bioelectron       Date:  2015-09-11       Impact factor: 10.618

9.  Automated 3D-Printed Microfluidic Array for Rapid Nanomaterial-Enhanced Detection of Multiple Proteins.

Authors:  Karteek Kadimisetty; Spundana Malla; Ketki S Bhalerao; Islam M Mosa; Snehasis Bhakta; Norman H Lee; James F Rusling
Journal:  Anal Chem       Date:  2018-05-31       Impact factor: 6.986

10.  Measurement of serum phosphate levels using a mobile sensor.

Authors:  Aniruddha Ray; Sarah Esparza; Dimei Wu; Mark R Hanudel; Hyou-Arm Joung; Barbara Gales; Derek Tseng; Isidro B Salusky; Aydogan Ozcan
Journal:  Analyst       Date:  2020-03-02       Impact factor: 4.616

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.