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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/56222
Title: Development of Electrochemical Electrodes Using Carbon Nanotube and Metal Phthalocyanine to Classify Pharmaceutical Drugs
Authors: Sarika Pradhan
Arthit Jityen
Theerasak Juagwon
Asawin Sinsarp
Tanakorn Osotchan
Mahidol University
Keywords: Materials Science
Issue Date: 1-Jan-2020
Citation: Materials Today: Proceedings. Vol.23, (2020), 732-737
Abstract: © 2019 Elsevier Ltd. Electronic tongues are analytical electrochemical technique which mimic human tongue. The taste sensing system like an electronic tongue has been successfully used to distinguish five basic tastes and as quality analysing tool in food and beverages industries. In this study, the chemical electrodes with multiwall carbon nanotube were developed to classify active pharmaceutical ingredients and analyse the capability of sweetener in masking bitterness of these formulation since multiwall carbon nanotube exhibits high electrical conductivity and electrocatalytic behaviour. The electronic tongue system comprises Ag/AgCl as reference electrode, platinum wire as counter electrode and working electrode was modified using four different metal phthalocyanines with multiwall carbon nanotube. The used active metal phthalocyanine powder includes cobalt, iron, zinc and magnesium phthalocyanine. The cyclic voltammogram of various pharmaceutical sample solutions of quinine, amoxicillin, ranitidine and paracetamol were examined between optimized potential range with set constant scan rate. The mapping evaluated from principal component analysis indicated that the metal phthalocyanines mixed with carbon nanotube sensors have potential to classify pharmaceutical drugs. When the pharmaceutical drugs were mixed with sweetener at different concentration, the obtained results indicated that the fabricated working electrode can be used to analyse the suppression of bitterness by sweeteners.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/56222
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084445687&origin=inward
ISSN: 22147853
Appears in Collections:Scopus 2020

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