Journal article
Sensitive detection of Escherichia coli O157:H7 using Pt-Au bimetal nanoparticles with peroxidase-like amplification
Biosensors & bioelectronics, Vol.77, pp.687-694
03/15/2016
PMID: 26496223
Abstract
Escherichia coli O157:H7 is one of the most notorious foodborne pathogens causing serious disease at low infectious dose. To protect consumers from deadly foodborne E. coli O157:H7 infection, it is vital to develop a simple, reliable, sensitive and rapid method which can detect low level E. coli O157:H7 in foods at real-time. We have successfully developed a novel immunochromatographic assay (ICA) with enhanced sensitivity for the visual and quantitative detection of E. coli O157:H7. Sandwich-type immunoreactions were performed on the ICA, and Pt-Au bimetal nanoparticles (NPs) were accumulated on the test zone. The signal amplification is based on Pt-Au bimetal NPs possessing high peroxidase activity toward 3,3',5,5'-tetramethylbenzidine, which can produce characteristic colored bands and thus, enable visual detection of E. coli O157:H7 without instrumentation. The innovative aspect of this approach lies in the visualization and quantification of target pathogen through the detection of color intensity. Due to the excellent peroxidase activity of Pt-Au NPs, they emit strong visible color intensity in less than 1 min for visual observation even in low concentration range of E. cali O157:H7. Quantification was performed using a commercial assay meter. The sensitivity was improved more than 1000-folds compared to the conventional test strip based on colored gold-colloids. Although the feasibility was demonstrated using E. coli O157:H7 as a model analyte, this approach could be easily developed to be a universal signal amplification technique and applied to detection of a wide variety of foodborne pathogens and protein biomarkers. (C) 2015 Elsevier B.V. All rights reserved.
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- Title
- Sensitive detection of Escherichia coli O157:H7 using Pt-Au bimetal nanoparticles with peroxidase-like amplification
- Creators
- Tao Jiang - Washington State Univ, Sch Mech & Mat Engn, Pullman, WA 99164 USAYang Song - Washington State UniversityTianxiang Wei - Washington State Univ, Sch Mech & Mat Engn, Pullman, WA 99164 USAHe Li - Washington State UniversityDan Du - Washington State UniversityMei-Jun Zhu - Washington State Univ, Sch Food Sci, Pullman, WA 99164 USAYuehe Lin - Washington State Univ, Sch Mech & Mat Engn, Pullman, WA 99164 USA
- Publication Details
- Biosensors & bioelectronics, Vol.77, pp.687-694
- Academic Unit
- School of Mechanical and Materials Engineering
- Publisher
- Elsevier
- Number of pages
- 8
- Grant note
- 1R21OH010768-01A1 / Centers for Disease Control and Prevention/National Institute for Occupational Safety and Health (CDC/NIOSH); United States Department of Health & Human Services; Centers for Disease Control & Prevention - USA; National Institute for Occupational Safety & Health (NIOSH) R21OH010768 / NATIONAL INSTITUTE FOR OCCUPATIONAL SAFETY AND HEALTH; United States Department of Health & Human Services; Centers for Disease Control & Prevention - USA; National Institute for Occupational Safety & Health (NIOSH)
- Identifiers
- 99901227641701842
- Language
- English
- Resource Type
- Journal article