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Optimization of DNA Sensor Model Based Nanostructured Graphene Using Particle Swarm Optimization Technique
Joint Authors
Karimi, H.
Yusof, Rubiyah
Rahmani, Rasoul
Ahmadi, Mohammad Taghi
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
It has been predicted that the nanomaterials of graphene will be among the candidate materials for postsilicon electronics due to their astonishing properties such as high carrier mobility, thermal conductivity, and biocompatibility.
Graphene is a semimetal zero gap nanomaterial with demonstrated ability to be employed as an excellent candidate for DNA sensing.
Graphene-based DNA sensors have been used to detect the DNA adsorption to examine a DNA concentration in an analyte solution.
In particular, there is an essential need for developing the cost-effective DNA sensors holding the fact that it is suitable for the diagnosis of genetic or pathogenic diseases.
In this paper, particle swarm optimization technique is employed to optimize the analytical model of a graphene-based DNA sensor which is used for electrical detection of DNA molecules.
The results are reported for 5 different concentrations, covering a range from 0.01 nM to 500 nM.
The comparison of the optimized model with the experimental data shows an accuracy of more than 95% which verifies that the optimized model is reliable for being used in any application of the graphene-based DNA sensor.
American Psychological Association (APA)
Karimi, H.& Yusof, Rubiyah& Rahmani, Rasoul& Ahmadi, Mohammad Taghi. 2013. Optimization of DNA Sensor Model Based Nanostructured Graphene Using Particle Swarm Optimization Technique. Journal of Nanomaterials،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031557
Modern Language Association (MLA)
Karimi, H.…[et al.]. Optimization of DNA Sensor Model Based Nanostructured Graphene Using Particle Swarm Optimization Technique. Journal of Nanomaterials No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1031557
American Medical Association (AMA)
Karimi, H.& Yusof, Rubiyah& Rahmani, Rasoul& Ahmadi, Mohammad Taghi. Optimization of DNA Sensor Model Based Nanostructured Graphene Using Particle Swarm Optimization Technique. Journal of Nanomaterials. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031557
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031557