A portable smart-phone device for rapid and sensitive detection of E. coli O157:H7 in Yoghurt and Egg.

The detection of E. coli O157:H7 in foods has held the attention of many researchers because of the seriousness attributed to this pathogen. In this study, we present a simple, sensitive, rapid and portable smartphone based fluorescence device for E. coli O157:H7 detection. This field-portable fluorescent imager on the smartphone involves a compact laser-diode-based photosource, a long-pass (LP) thin-film interference filter and a high-quality insert lenses. The design of the device provided a low noise to background imaging system. Based on a sandwich ELISA and the specific recognition of antibody to E. coli O157:H7, the sensitive detection of E. coli O157:H7 were realized both in standard samples and real matrix in yoghurt and egg on our device. The detection limit are 1 CFU/mL and 10 CFU/mL correspondingly. Recovery percentages of spiked yogurt and egg samples with 103, 104 and 105 CFU/mL E. coli O157:H7 were 106.98, 96.52 and 102.65 (in yogurt) and 107.37, 105.64 and 93.84 (in egg) samples using our device, respectively. Most importantly, the entire process could be quickly completed within two hours. This smartphone based device provides a simple, rapid, sensitive detection platform for fluorescent imaging which applied in pathogen detection for food safety monitoring.

[1]  G. K. Abdel-Latef,et al.  Public health risk of some milk borne pathogens , 2014 .

[2]  Derek K. Tseng,et al.  Imaging and sizing of single DNA molecules on a mobile phone. , 2014, ACS nano.

[3]  Xuemin Zhou,et al.  Fe₃O₄@rGO doped molecularly imprinted polymer membrane based on magnetic field directed self-assembly for the determination of amaranth. , 2014, Talanta.

[4]  Aldo Roda,et al.  A simple and compact smartphone accessory for quantitative chemiluminescence-based lateral flow immunoassay for salivary cortisol detection. , 2015, Biosensors & bioelectronics.

[5]  B. M. Jaffar Ali,et al.  Smartphone based bacterial detection using biofunctionalized fluorescent nanoparticles , 2014, Microchimica Acta.

[6]  Nathaniel C. Cady,et al.  Nucleic Acid-based Detection of Bacterial Pathogens Using Integrated Microfluidic Platform Systems , 2009, Sensors.

[7]  J. Morris,et al.  Emerging foodborne pathogens: Escherichia coli O157:H7 as a model of entry of a new pathogen into the food supply of the developed world. , 1996, Epidemiologic reviews.

[8]  Takahiro Tomoyasu Improvement of the Immunomagnetic Separation Method Selective for Escherichia coli O157 Strains , 1998, Applied and Environmental Microbiology.

[9]  Nuno M Reis,et al.  Portable smartphone quantitation of prostate specific antigen (PSA) in a fluoropolymer microfluidic device. , 2015, Biosensors & bioelectronics.

[10]  C. Siddons,et al.  A comparison of immunomagnetic separation and direct culture for the isolation of verocytotoxin-producing Escherichia coli O157 from bovine faeces. , 1994, Journal of medical microbiology.

[11]  R. Betts,et al.  The isolation and detection of Escherichia coli O157 by use of immunomagnetic separation and immunoassay procedures , 1996, Letters in applied microbiology.

[12]  Nobuyasu Yamaguchi,et al.  Rapid detection of respiring Escherichia coli O157:H7 in apple juice, milk, and ground beef by flow cytometry , 2003, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[13]  Thusitha S. Gunasekera,et al.  A Flow Cytometry Method for Rapid Detection and Enumeration of Total Bacteria in Milk , 2000, Applied and Environmental Microbiology.

[14]  T. J. Fang,et al.  Evaluation of DAS™ kits for the detection of food-borne pathogens in chicken- and meat-based street-vended foods , 2013 .

[15]  S. Santra,et al.  Emerging nanotechnology-based strategies for the identification of microbial pathogenesis. , 2010, Advanced drug delivery reviews.

[16]  I D Ogden,et al.  A sensitive microsphere coagulation ELISA for Escherichia coli O157:H7 using Russell's viper venom. , 2000, FEMS microbiology letters.

[17]  N. Yamaguchi,et al.  Viability of Escherichia coli O157:H7 in natural river water determined by the use of flow cytometry , 2000, Journal of applied microbiology.

[18]  R. Fieve,et al.  Letter: How blind is the double-blind?: an assessment in a lithium-prophylaxis study. , 1974, Lancet.

[19]  Aydogan Ozcan,et al.  Albumin testing in urine using a smart-phone. , 2013, Lab on a chip.

[20]  David J. You,et al.  Cell-phone-based measurement of TSH using Mie scatter optimized lateral flow assays. , 2013, Biosensors & bioelectronics.

[21]  Eleonora Petryayeva,et al.  Multiplexed homogeneous assays of proteolytic activity using a smartphone and quantum dots. , 2014, Analytical chemistry.

[22]  M. Petric,et al.  SPORADIC CASES OF HAEMOLYTIC-URAEMIC SYNDROME ASSOCIATED WITH FAECAL CYTOTOXIN AND CYTOTOXIN-PRODUCING ESCHERICHIA COLI IN STOOLS , 1983, The Lancet.

[23]  M. Griffiths,et al.  Yogurt containing bioactive molecules produced by Lactobacillus acidophilus La-5 exerts a protective effect against enterohemorrhagic Escherichia coli in mice. , 2012, Journal of food protection.

[24]  Yuehe Lin,et al.  Rapid and sensitive detection of microRNA via the capture of fluorescent dyes-loaded albumin nanoparticles around functionalized magnetic beads. , 2017, Biosensors & bioelectronics.

[25]  P. Desmarchelier,et al.  Enumeration of Escherichia coli O157 in cattle faeces using most probable number technique and automated immunomagnetic separation , 2004, Letters in applied microbiology.

[26]  Yong Tang,et al.  A Portable Smart-Phone Readout Device for the Detection of Mercury Contamination Based on an Aptamer-Assay Nanosensor , 2016, Sensors.

[27]  T. Matsunaga,et al.  Detection and removal of Escherichia coli using fluorescein isothiocyanate conjugated monoclonal antibody immobilized on bacterial magnetic particles. , 1993, Analytical chemistry.