Nowadays,detection of a single-base polymorphism is thought to be the key for diagnosis of about 400 genetic diseases and,realization of personalized medicine in order to develop therapeutics.The other hand,the integration of new emerging nanomaterials(graphene)with sensors and devices have revealed an enormous potential for the future application of highly sensitive and selective DNA biosensors.All these approaches open up the routes for genetic researchers to understand the progression and early screening of diseases,or forensic analysis by tailoring the electrical properties of graphene,which make the controlled design of these sensors essential.In this research study, numerical model of the graphene-based liquid-gated sensors with DNA sensing application is developed to help in understanding the sensing mechanism of these sensors which is the matter of dispute these days.The results are compared with the experimental work and an acceptable agreement is observed. We found that numerical modeling needs optimization to be closer to the realistic results.So, particle swarm optimization technique is used to achieve a more accurate and reliable model for DNA hybridization detection.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays,detection of a single-base polymorphism is thought to be the key for diagnosis of about 400 genetic diseases and,realization of personalized medicine in order to develop therapeutics.The other hand,the integration of new emerging nanomaterials(graphene)with sensors and devices have revealed an enormous potential for the future application of highly sensitive and selective DNA biosensors.All these approaches open up the routes for genetic researchers to understand the progression and early screening of diseases,or forensic analysis by tailoring the electrical properties of graphene,which make the controlled design of these sensors essential.In this research study, numerical model of the graphene-based liquid-gated sensors with DNA sensing application is developed to help in understanding the sensing mechanism of these sensors which is the matter of dispute these days.The results are compared with the experimental work and an acceptable agreement is observed. We found that numerical modeling needs optimization to be closer to the realistic results.So, particle swarm optimization technique is used to achieve a more accurate and reliable model for DNA hybridization detection. 88 pp. Englisch. N° de réf. du vendeur 9783659590238
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. N° de réf. du vendeur zk3659590231
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Karimi Feizabadi HediyehDr. Hediyeh Karimi received the B.Sc. degree in Electrical Engineering- Electronics from the IAU university, Iran, in 2008 and M.Sc. and Ph.D. degrees in Electrical Engineering from school of Malaysia-Japan In. N° de réf. du vendeur 5167046
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nowadays,detection of a single-base polymorphism is thought to be the key for diagnosis of about 400 genetic diseases and,realization of personalized medicine in order to develop therapeutics.The other hand,the integration of new emerging nanomaterials(graphene)with sensors and devices have revealed an enormous potential for the future application of highly sensitive and selective DNA biosensors.All these approaches open up the routes for genetic researchers to understand the progression and early screening of diseases,or forensic analysis by tailoring the electrical properties of graphene,which make the controlled design of these sensors essential.In this research study, numerical model of the graphene-based liquid-gated sensors with DNA sensing application is developed to help in understanding the sensing mechanism of these sensors which is the matter of dispute these days.The results are compared with the experimental work and an acceptable agreement is observed. We found that numerical modeling needs optimization to be closer to the realistic results.So, particle swarm optimization technique is used to achieve a more accurate and reliable model for DNA hybridization detection.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. N° de réf. du vendeur 9783659590238
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays,detection of a single-base polymorphism is thought to be the key for diagnosis of about 400 genetic diseases and,realization of personalized medicine in order to develop therapeutics.The other hand,the integration of new emerging nanomaterials(graphene)with sensors and devices have revealed an enormous potential for the future application of highly sensitive and selective DNA biosensors.All these approaches open up the routes for genetic researchers to understand the progression and early screening of diseases,or forensic analysis by tailoring the electrical properties of graphene,which make the controlled design of these sensors essential.In this research study, numerical model of the graphene-based liquid-gated sensors with DNA sensing application is developed to help in understanding the sensing mechanism of these sensors which is the matter of dispute these days.The results are compared with the experimental work and an acceptable agreement is observed. We found that numerical modeling needs optimization to be closer to the realistic results.So, particle swarm optimization technique is used to achieve a more accurate and reliable model for DNA hybridization detection. N° de réf. du vendeur 9783659590238
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA82936595902316
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