The Analyst · 2012 · 275 citations · 27 references
E. ColiEngineeringQuantum ComputingBiosensing SystemsPathogen DetectionE. Coli ParticlesEscherichia ColiLab-on-a-chipBiomedical AnalysisMicrobiologyBiosensorsNanosensorQuantum SensingOptical SensorsQuantum Characterization
The platform can be adapted to detect other pathogens by using different antibodies. The study aims to develop a cell‑phone based Escherichia coli detection platform for screening liquid samples. The system captures E. coli on antibody‑functionalized glass capillaries, labels them with quantum dots, excites the dots with LEDs, and images the fluorescence with a phone camera through a lens to quantify bacterial concentration.
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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Mobile Phone Based Clinical Microscopy for Global Health Applications
David N. Breslauer, Robi N. Maamari, Neil A. Switz et al. · PLoS ONE · 2009 · 700 citations · Full text
Lensfree microscopy on a cellphone
Derek Tseng, Onur Mudanyali, Cetin Oztoprak et al. · Lab on a Chip · 2010 · 485 citations · Full text
Optofluidic Fluorescent Imaging Cytometry on a Cell Phone
Hongying Zhu, Sam Mavandadi, Ahmet F. Coskun et al. · Analytical Chemistry · 2011 · 392 citations