Literature DB >> 22396952

Quantum dot enabled detection of Escherichia coli using a cell-phone.

Hongying Zhu1, Uzair Sikora, Aydogan Ozcan.   

Abstract

We report a cell-phone based Escherichia coli (E. coli) detection platform for screening of liquid samples. In this compact and cost-effective design attached to a cell-phone, we utilize anti-E. coli O157:H7 antibody functionalized glass capillaries as solid substrates to perform a quantum dot based sandwich assay for specific detection of E. coli O157:H7 in liquid samples. Using battery-powered inexpensive light-emitting-diodes (LEDs) we excite/pump these labelled E. coli particles captured on the capillary surface, where the emission from the quantum dots is then imaged using the cell-phone camera unit through an additional lens that is inserted between the capillary and the cell-phone. By quantifying the fluorescent light emission from each capillary tube, the concentration of E. coli in the sample is determined. We experimentally confirmed the detection limit of this cell-phone based fluorescent imaging and sensing platform as ∼5 to 10 cfu mL(-1) in buffer solution. We also tested the specificity of this E. coli detection platform by spiking samples with different species (e.g., Salmonella) to confirm that non-specific binding/detection is negligible. We further demonstrated the proof-of-concept of our approach in a complex food matrix, e.g., fat-free milk, where a similar detection limit of ∼5 to 10 cfu mL(-1) was achieved despite challenges associated with the density of proteins that exist in milk. Our results reveal the promising potential of this cell-phone enabled field-portable and cost-effective E. coli detection platform for e.g., screening of water and food samples even in resource limited environments. The presented platform can also be applicable to other pathogens of interest through the use of different antibodies.

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Year:  2012        PMID: 22396952      PMCID: PMC3683133          DOI: 10.1039/c2an35071h

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  25 in total

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  54 in total

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2.  Albumin testing in urine using a smart-phone.

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3.  Integrated rapid-diagnostic-test reader platform on a cellphone.

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

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Journal:  Lab Chip       Date:  2013-08-12       Impact factor: 6.799

5.  Sensing with photoluminescent semiconductor quantum dots.

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6.  Applications of smartphone-based near-infrared (NIR) imaging, measurement, and spectroscopy technologies to point-of-care (POC) diagnostics.

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7.  Fluorescent imaging of single nanoparticles and viruses on a smart phone.

Authors:  Qingshan Wei; Hangfei Qi; Wei Luo; Derek Tseng; So Jung Ki; Zhe Wan; Zoltán Göröcs; Laurent A Bentolila; Ting-Ting Wu; Ren Sun; Aydogan Ozcan
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8.  Orthographic projection capillary array fluorescent sensor for mHealth.

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Review 9.  Cellphone-based devices for bioanalytical sciences.

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