Journal
BIOTECHNOLOGY AND BIOPROCESS ENGINEERING
Volume 21, Issue 5, Pages 627-633Publisher
KOREAN SOC BIOTECHNOLOGY & BIOENGINEERING
DOI: 10.1007/s12257-016-0382-3
Keywords
dopamine; selectivity; biosensors; tyrosinase
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Funding
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT, and Future Planning, Republic of Korea [2013R1A1A2011230]
- National Research Foundation of Korea [2013R1A1A2011230, 22A20130012880] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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Dopamine, the most important neurotransmitter in the human brain, controls various functions. Dopamine deficiency causes fatal neurological disorders such as Parkinson's disease. Even though various types of electrochemical sensors have been studied to measure dopamine levels, they often have poor selectivity for dopamine due to co-existence of interfering substances (e.g. ascorbic acid). Herein, we aimed to develop a highly sensitive dopamine detection method in the co-existence of ascorbic acid, a major interfering substance in real sample by designing an electrochemically pretreated and activated carbon/tyrosinase/NafionA (R)-modified GCE as an amperometric dopamine biosensor. To maximize the biosensor performance, pH, volume of NafionA (R), and scan rate were optimized. This electrochemically pretreated and activated carbon/tyrosinase/ NafionA (R)-modified GCE could detect as low as 50 mu M of dopamine with a wide linear range (50 similar to 1,000 mu M) within a few seconds. In addition, it had a sensitivity of 103mAM/cm(2), which was higher than all previously reported tyrosinasebased dopamine biosensors. In addition, interference effect caused by 4 mM of ascorbic acid was negligible in the co-existence of 1 mM of dopamine. Consequently, this electrochemically pretreated and activated carbon/tyrosinase/ NafionA (R)-modified GCE might be applicable as amperometric biosensor for selective detection of dopamine in real samples with interfering substances.
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