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Response Surface Methodology for Optimization of Food Borne Pathogen Detection in Real Samples Based on Label Free Electrochemical Nucleic Acid Biosensors
Author(s) -
Urkut Z.,
Kara P.,
Goksungur Y.,
Ozsoz M.
Publication year - 2011
Publication title -
electroanalysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 128
eISSN - 1521-4109
pISSN - 1040-0397
DOI - 10.1002/elan.201100310
Subject(s) - nucleic acid , biosensor , foodborne pathogen , nucleic acid detection , chemistry , nucleic acid quantitation , chromatography , nanotechnology , biochemistry , biology , materials science , bacteria , listeria monocytogenes , genetics
The response surface methodology (RSM) is used for optimization of foodborne pathogen detection based on label free electrochemical nucleic acid biosensors. Listeria monocytogenes amplicons obtained from food samples are used as model case. The extent of hybridization is determined by using guanine oxidation signals obtained with Differential Pulse Voltammetry and Electrochemical Impedance Spectroscopy. RSM is used to investigate the effects of hybridization parameters including target and salt concentration and hybridization time on the biosensor selectivity. The ratio of electrochemical transductions after hybridization with complementary and noncomplementary targets is the response of the statistical analysis obtaining a detection limit of 267 pM.