Abstract
A carbon nanofiber enriched 8-channel screen-printed electrochemical array was used for the impedimetric detection of SNP related to Factor V Leiden (FV Leiden) mutation, which is the most common inherited form of thrombophilia. FV Leiden mutation sensing was carried out in three steps: solution-phase nucleic acid hybridization between zip nucleic acid probe (Z-probe) and mutant type DNA target, followed by the immobilization of the hybrid on the working electrode area of array, and measurement by electrochemical impedance spectroscopy (EIS). The selectivity of the assay was tested against mutation-free DNA sequences and synthetic polymerase chain reaction (PCR) samples. The developed biosensor was a trustful assay for FV Leiden mutation diagnosis, which can effectively discriminate wild type and mutant type even in PCR samples.
Highlights
Laboratory analyzers are suited for a hospital setting and requires trained personnel to operate the analyzer and interpret the results accurately
A great demand for accurate monitoring of biomarkers related to important diseases is the driving force toward the development of novel analytical tools for diagnostics [1,2]
8-channel screen-printed electrochemical arrays can be found in the Supplementary Materials
Summary
Laboratory analyzers are suited for a hospital setting and requires trained personnel to operate the analyzer and interpret the results accurately. Biosensors have many advantages since they are user-friendly and provide results rapidly with high sensitivity. A great demand for accurate monitoring of biomarkers related to important diseases is the driving force toward the development of novel analytical tools for diagnostics [1,2]. Many researchers are interested in the development of fast screening tools for clinical use. These tools are mostly based on optical or spectroscopic techniques. Electrochemical biosensors provide direct analysis of various analytes within minutes. Electrochemical biosensors can be considered as the most appropriate tool for clinical diagnosis by means of their superior features as above-mentioned. Our group developed sensitive biosensors for the detection of protein, microRNA, and SNPs [10,11,12,13,14,15]
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