UPM Institutional Repository

Determination of set potential voltages for cucumber mosaic virus detection using screen printed carbon electrode


Citation

Uda, Muhammad Nur Aiman and Che Man, Hasfalina and Abd Aziz, Samsuzana and Salam, Faridah and Abd Rahman, Rafidah and Hashim, Uda and Ariffin, Shahrul Aizzam and Gopinath, Subash Chandra Bose (2015) Determination of set potential voltages for cucumber mosaic virus detection using screen printed carbon electrode. In: 11th Asian Conference on Chemical Sensors (ACCS2015), 16-18 Nov. 2015, Penang, Malaysia. (pp. 1-5).

Abstract

Cucumber Mosaic Virus (CMV) is a most dangerous pathogen among the cucurbit plant which it striking cucumbers, zucchinis, squashes, watermelons but it also striking to non-cucurbit such as peppers, tobaccos, celeries, beans and tomatoes. Symptoms shown by this virus when they starting to strike are very significant and at the end can kill the hosts they infected. In order to detect these viruses, biosensor such as screen-printed carbon electrode (SPCE) is developed and fixes a set potential voltage is defined using Chronoamperometry (CM) immunosensor technique. For short introduction, CM is a process which is a constant applied potential voltage between the working and reference electrode is maintained in order to create an electrons transfer for the oxidation or reduction species taking place at the surface of working electrode is measured and in this manuscript, complete details about measurement were used to finding the stable set potential voltages will be pointed out.


Download File

[img]
Preview
PDF (Abstract)
Determination of set potential voltages for cucumber mosaic virus detection using screen printed carbon electrode.pdf

Download (35kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1063/1.4975289
Publisher: AIP Publishing
Keywords: Cucumber mosaic virus; Screen printed carbon electrode; Immunosensor
Depositing User: Nabilah Mustapa
Date Deposited: 24 Oct 2017 05:32
Last Modified: 24 Oct 2017 05:32
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1063/1.4975289
URI: http://psasir.upm.edu.my/id/eprint/57572
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item