Literature DB >> 24162816

Smartphone quantifies Salmonella from paper microfluidics.

Tu San Park1, Wenyue Li, Katherine E McCracken, Jeong-Yeol Yoon.   

Abstract

Smartphone-based optical detection is a potentially easy-to-use, handheld, true point-of-care diagnostic tool for the early and rapid detection of pathogens. Paper microfluidics is a low-cost, field-deployable, and easy-to-use alternative to conventional microfluidic devices. Most paper-based microfluidic assays typically utilize dyes or enzyme-substrate binding, while bacterial detection on paper microfluidics is rare. We demonstrate a novel application of smartphone-based detection of Salmonella on paper microfluidics. Each paper microfluidic channel was pre-loaded with anti-Salmonella Typhimurium and anti-Escherichia coli conjugated submicroparticles. Dipping the paper microfluidic device into the Salmonella solutions led to the antibody-conjugated particles that were still confined within the paper fibers to immunoagglutinate. The extent of immunoagglutination was quantified by evaluating Mie scattering from the digital images taken at an optimized angle and distance with a smartphone. A smartphone application was designed and programmed to allow the user to position the smartphone at an optimized angle and distance from the paper microfluidic device, and a simple image processing algorithm was implemented to calculate and display the bacterial concentration on the smartphone. The detection limit was single-cell-level and the total assay time was less than one minute.

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Year:  2013        PMID: 24162816     DOI: 10.1039/c3lc50976a

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


  39 in total

1.  A low-cost smartphone-based platform for highly sensitive point-of-care testing with persistent luminescent phosphors.

Authors:  Andrew S Paterson; Balakrishnan Raja; Vinay Mandadi; Blane Townsend; Miles Lee; Alex Buell; Binh Vu; Jakoah Brgoch; Richard C Willson
Journal:  Lab Chip       Date:  2017-03-14       Impact factor: 6.799

2.  Automated screening of sickle cells using a smartphone-based microscope and deep learning.

Authors:  Kevin de Haan; Hatice Ceylan Koydemir; Yair Rivenson; Derek Tseng; Elizabeth Van Dyne; Lissette Bakic; Doruk Karinca; Kyle Liang; Megha Ilango; Esin Gumustekin; Aydogan Ozcan
Journal:  NPJ Digit Med       Date:  2020-05-22

Review 3.  Reducing Uncertainty for Acute Febrile Illness in Resource-Limited Settings: The Current Diagnostic Landscape.

Authors:  Matthew L Robinson; Yukari C Manabe
Journal:  Am J Trop Med Hyg       Date:  2017-06       Impact factor: 2.345

Review 4.  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

5.  In situ, dual-mode monitoring of organ-on-a-chip with smartphone-based fluorescence microscope.

Authors:  Soohee Cho; Argel Islas-Robles; Ariana M Nicolini; Terrence J Monks; Jeong-Yeol Yoon
Journal:  Biosens Bioelectron       Date:  2016-07-07       Impact factor: 10.618

Review 6.  A review on wax printed microfluidic paper-based devices for international health.

Authors:  S Altundemir; A K Uguz; K Ulgen
Journal:  Biomicrofluidics       Date:  2017-08-30       Impact factor: 2.800

7.  Label-free Mie Scattering Identification of Tumor Tissue Using an Angular Photodiode Array.

Authors:  Matthew V Bills; Jeong-Yeol Yoon
Journal:  IEEE Sens Lett       Date:  2020-06-11

Review 8.  Paper-based analytical devices for clinical diagnosis: recent advances in the fabrication techniques and sensing mechanisms.

Authors:  Mazhar Sher; Rachel Zhuang; Utkan Demirci; Waseem Asghar
Journal:  Expert Rev Mol Diagn       Date:  2017-04       Impact factor: 5.225

9.  Smartphone Detection of UV LED-Enhanced Particle Immunoassay on Paper Microfluidics.

Authors:  Tu San Park; Soohee Cho; Tigran G Nahapetian; Jeong-Yeol Yoon
Journal:  SLAS Technol       Date:  2016-07-10       Impact factor: 3.047

10.  Integrated, DC voltage-driven nucleic acid diagnostic platform for real sample analysis: Detection of oral cancer.

Authors:  Zdenek Slouka; Satyajyoti Senapati; Sunny Shah; Robin Lawler; Zonggao Shi; M Sharon Stack; Hsueh-Chia Chang
Journal:  Talanta       Date:  2015-05-06       Impact factor: 6.057

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