Optimizing of electrochemical nano-biosensor based on the label-free DNA and modified nanomaterial to detect Fig Mosaic Virus
Today, electrochemical biosensors are highly regarded due to their high sensitivity and accuracy in tracking target nucleic acids. On the other hand, due to the economic importance of fig trees, rapid and accurate diagnosis of its diseases, including Fig Mosaic Disease (FMD), which is one of the most important and destructive viral diseases of fig trees plays an effective role in the management and control of this disease. In this study, a novel label free electrochemical DNA-based biosensor was optimized to qualitatively and quantitatively identify the presence of FMV in the infected samples. In this regard, in order to optimize and improve the performance of the designed biosensor, the concentration parameters of the DNA probe to form self-assembled monolayers and the time required to perform the hybridization process in the biological range with the greatest impact on the DNA biosensor were investigated. According to the data of the calibration curve, the first linear range at -3 μM to 3 μM was obtained with the equation of the line y= 4.81x+34.58 and the detection coefficient (R2= 0.9967). In this research, the omtimized biosensor to detect a stable, high selective, easy and fast FMV-DNA, promises a diagnostic method with high efficiency and accuracy.
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Genome-Wide Association Mapping Revealed SNP Alleles Associated with Resistance to Cereal Cyst Nematode (Heterodera filipjevi) in Wheat
Z. Majd Taheri*, Z. Tanha Maafi, K. Nazari, K. Zaynali Nezhad, F. Rakhshandehroo, A. Dababat
Journal of Agricultural Science and Technology, Jul 2024 -
Detection of Citrus Psorosis Virus by dsRNA and molecular hybridization
Faezeh Falaki, *, Vahid Alavi
Journal of Microbial World,