Development of real-time assays for impedance-based detection of microbial double-stranded DNA targets: optimization and data analysis
Autor: | Carmen E. Campbell, David R. Evans, Ibrahim Sezan, Vena N. Haynes, George B. Middleton, Holly M. Simon, Dean Messing, Maria W. Smith, Kevin R. Schwarzkopf, Changqing Zhan, Andrei L. Ghindilis, John W. Hartzell, Bruce D. Ulrich, Paul J. Schuele, Michael J. Frasier |
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Rok vydání: | 2011 |
Předmět: |
DNA
Bacterial Microbiological Techniques Biomedical Engineering Biophysics Analytical chemistry Biosensing Techniques Biology Target concentration Signal Polymerase Chain Reaction chemistry.chemical_compound Sensor array Computer Systems Electrochemistry Electric Impedance Equipment Reuse Escherichia coli Electrical impedance Bacteriological Techniques Base Sequence Oligonucleotide General Medicine chemistry Genes Bacterial Data Interpretation Statistical Fixed frequency Biological system Double stranded DNA Biotechnology |
Zdroj: | Biosensorsbioelectronics. 35(1) |
ISSN: | 1873-4235 |
Popis: | A real-time, label free assay was developed for microbial detection, utilizing double-stranded DNA targets and employing the next generation of an impedimetric sensor array platform designed by Sharp Laboratories of America (SLA). Real-time curves of the impedimetric signal response were obtained at fixed frequency and voltage for target binding to oligonucleotide probes attached to the sensor array surface. Kinetic parameters of these curves were analyzed by the integrated data analysis package for signal quantification. Non-specific binding presented a major challenge for assay development, and required assay optimization. For this, differences were maximized between binding curve kinetic parameters for probes binding to complementary targets versus non-target controls. Variables manipulated for assay optimization included target concentration, hybridization temperature, buffer concentration, and the use of surfactants. Our results showed that (i) different target–probe combinations required optimization of specific sets of variables; (ii) for each assay condition, the optimum range was relatively narrow, and had to be determined empirically; and (iii) outside of the optimum range, the assay could not distinguish between specific and non-specific binding. For each target–probe combination evaluated, conditions resulting in good separation between specific and non-specific binding signals were established, generating high confidence in the SLA impedimetric dsDNA assay results. |
Databáze: | OpenAIRE |
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