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Pattern Recognition of Dopamine, Epinephrine, Norepinephrine, Serotonin, Acethylcholine, GABA, and Glutamate in Biological Samples Using Stochastic Sensing
Pattern Recognition of Dopamine, Epinephrine, Norepinephrine, Serotonin, Acethylcholine, GABA, and Glutamate in Biological Samples Using Stochastic Sensing
Monday, 6 October 2014: 17:50
Sunrise, 2nd Floor, Galactic Ballroom 8 (Moon Palace Resort)
Pattern recognition is essential in chemical analysis of biological fluids. Reliable and sensitive methods for neurotransmitters analysis are needed.
Therefore, we developed for pattern recognition of neurotransmitters dopamine, epinephrine, norepinephrine, serotonin, acethylcholine, GABA, and glutamate a method based on stochastic sensing. Microsensors based on diamond paste modified with 5,10,15,20-tetraphenyl-21H,23H-porphyrine, hemin and protoporphyrin IX in stochastic were designed and characterized.
The proposed method can perform pattern recognition of the seven neurotransmitters on biological fluids at a lower determination level than chromatographic methods. The pattern recognition showed high reliability (RSD<1% for more than 6 months) for the simultaneous determination of the seven neurotransmitters in whole blood, cerebrospinal liquid, urine, zebra fish and snails.
Accordingly with the statistic evaluation of the results at 99.00% confidence level, the proposed sensors can be used for pattern recognition and quantification of neurotransmitters with high reliability. The best stochastic microsensor was the one based on diamond paste modified with protoporphyrin IX.
Therefore, we developed for pattern recognition of neurotransmitters dopamine, epinephrine, norepinephrine, serotonin, acethylcholine, GABA, and glutamate a method based on stochastic sensing. Microsensors based on diamond paste modified with 5,10,15,20-tetraphenyl-21H,23H-porphyrine, hemin and protoporphyrin IX in stochastic were designed and characterized.
The proposed method can perform pattern recognition of the seven neurotransmitters on biological fluids at a lower determination level than chromatographic methods. The pattern recognition showed high reliability (RSD<1% for more than 6 months) for the simultaneous determination of the seven neurotransmitters in whole blood, cerebrospinal liquid, urine, zebra fish and snails.
Accordingly with the statistic evaluation of the results at 99.00% confidence level, the proposed sensors can be used for pattern recognition and quantification of neurotransmitters with high reliability. The best stochastic microsensor was the one based on diamond paste modified with protoporphyrin IX.
Acknowledgements The present work was supported by the European Commission through the DENAMIC project (Contract-No. 282957) and by UEFISCDI, Romania Contract-no. 186/23.10.2012.