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dc.contributor.authorTijjani, Adam
dc.contributor.authorAeshah M., Mohammed
dc.contributor.authorMohammed, Mohammed
dc.contributor.authorOmar S., Dahham
dc.contributor.authorUda, Hashim
dc.contributor.authorNik Noriman, Zulkepli
dc.date.accessioned2020-12-14T04:33:23Z
dc.date.available2020-12-14T04:33:23Z
dc.date.issued2018
dc.identifier.citationIOP Conference Series: Materials Science and Engineering, vol.454, 2018, 7 pagesen_US
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/68992
dc.descriptionLink to publisher's homepage at https://iopscience.iop.org/en_US
dc.description.abstractThe student presented theoretically interaction of organic and inorganic based on the electrostatic interaction created by the ssDNA interaction with sensor active surface, the ssDNA strand was immobilised on silicon-based sensor to create binding chemistry with subsequent target molecule. The sensor is influenced by the ability of the attached probe ssDNA to recognise it complements through matched and mismatched. Upon interaction, the electrical response of the sensor was calculated based on density functional. A growth exponential functional model was established with 5nA rate of growth indicating complementary reactive and the model equally generated revised degenerative mode with mismatched produce decaying exponential model, thus, with excellent prediction capability. The organic and in-organic material interactive model developed could be employed to test the experimental model to validate and predict the selectivity and sensitive of Nano based biosensors.en_US
dc.language.isoenen_US
dc.publisherIOP Publishingen_US
dc.relation.ispartofseries1st International Conference on Materials Engineering and Science (IConMEAS 2018);
dc.subjectBiosensorsen_US
dc.subjectssDNAen_US
dc.subjectInteractionen_US
dc.subjectSensorsen_US
dc.titleModelling Simulation of Organic and Inorganic Interaction Based on First Principle Calculationen_US


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