Journal article
Comprehensive Detection and Discrimination of Campylobacter Species by Use of Confocal Micro-Raman Spectroscopy and Multilocus Sequence Typing
Journal of clinical microbiology, Vol.50(9), pp.2932-2946
09/2012
Handle:
https://hdl.handle.net/2376/104366
PMCID: PMC3421791
PMID: 22740711
Abstract
A novel strategy for the rapid detection and identification of traditional and emerging
Campylobacter
strains based upon Raman spectroscopy (532 nm) is presented here. A total of 200 reference strains and clinical isolates of 11 different
Campylobacter
species recovered from infected animals and humans from China and North America were used to establish a global Raman spectroscopy-based dendrogram model for
Campylobacter
identification to the species level and cross validated for its feasibility to predict
Campylobacter
-associated food-borne outbreaks. Bayesian probability coupled with Monte Carlo estimation was employed to validate the established Raman classification model on the basis of the selected principal components, mainly protein secondary structures, on the
Campylobacter
cell membrane. This Raman spectroscopy-based typing technique correlates well with multilocus sequence typing and has an average recognition rate of 97.21%. Discriminatory power for the Raman classification model had a Simpson index of diversity of 0.968. Intra- and interlaboratory reproducibility with different instrumentation yielded differentiation index values of 4.79 to 6.03 for wave numbers between 1,800 and 650 cm
−1
and demonstrated the feasibility of using this spectroscopic method at different laboratories. Our Raman spectroscopy-based partial least-squares regression model could precisely discriminate and quantify the actual concentration of a specific
Campylobacter
strain in a bacterial mixture (regression coefficient, >0.98; residual prediction deviation, >7.88). A standard protocol for sample preparation, spectral collection, model validation, and data analyses was established for the Raman spectroscopic technique. Raman spectroscopy may have advantages over traditional genotyping methods for bacterial epidemiology, such as detection speed and accuracy of identification to the species level.
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Details
- Title
- Comprehensive Detection and Discrimination of Campylobacter Species by Use of Confocal Micro-Raman Spectroscopy and Multilocus Sequence Typing
- Creators
- Xiaonan Lu - Key Laboratory of Food Nutrition and Safety, Ministry of Education of China, Tianjin University of Science and Technology, Tianjin, ChinaQian Huang - Institute of Photoelectronics, Nankai University, Tianjin, ChinaWilliam G Miller - Produce Safety and Microbiology Research Unit, USDA Agricultural Research Service, Western Regional Research Center, Albany, California, USAD. Eric Aston - Department of Chemical Engineering and Materials Engineering, University of Idaho, Moscow, Idaho, USAJie Xu - Department of Mechanical Engineering, Washington State University, Vancouver, Washington, USAFeng Xue - Animal, Plant & Food Inspection Center, Jiangsu Entry-Exit Inspection and Quarantine Bureau, Jiangsu, ChinaHongwei Zhang - Animal, Plant & Food Inspection Center, Tianjin Entry-Exit Inspection and Quarantine Bureau, Tianjin, ChinaBarbara A Rasco - School of Food Science, Washington State University, Pullman, Washington, USAShuo Wang - Key Laboratory of Food Nutrition and Safety, Ministry of Education of China, Tianjin University of Science and Technology, Tianjin, ChinaMichael E Konkel - School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA
- Publication Details
- Journal of clinical microbiology, Vol.50(9), pp.2932-2946
- Academic Unit
- Food Science, School of; Molecular Biosciences, School of
- Publisher
- American Society for Microbiology; 1752 N St., N.W., Washington, DC
- Identifiers
- 99900546759701842
- Language
- English
- Resource Type
- Journal article