Different Electrochemical Sensors for Determination of Dopamine as Neurotransmitter in Mixed and Clinical Samples: A Review
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
View: 167
This Paper With 16 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ANALCH-6-1_007
تاریخ نمایه سازی: 16 بهمن 1401
Abstract:
Dopamine (DA) is one of the most important catecholamine neurotransmitters in the human central nervous system in the brain and plays a key role in the functioning of the renal, hormonal, and cardiovascular systems. Abnormal levels of dopamine are related to neurological disorders, such as schizophrenia and Parkinson’s disease and the control and fluctuations of the amount of dopamine are extremely important in monitoring with analytical systems in the human brain. This review covers the different electrochemical sensors for the determination of dopamine as neurotransmitter and points out the advantages and disadvantages of them. The interaction between the functional groups of the sensor’s material and the analyte molecule is discussed, as it is essential for the analytical characteristics obtained. The analytical performances of the voltammetric or amperometric chemical and biochemical sensors (linear range of analytical response, sensitivity etc) are highlightened. The numerous applications of DA electrochemical sensors in fields like pharmaceutical or clinical analysis, where DA represents a key analyte, are also presented.
Keywords:
Authors
Hadi Beitollahi
Environment Department, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran
Mohadeseh Safaei
Environment Department, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran
Somayeh Tajik
NanoBioElectrochemistry Research Center, Bam University of Medical Sciences, Bam, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :