Recent trends in analytical approaches for detecting neurotransmitters in Alzheimer's disease

Abstract

Alzheimer's disease is a progressive neurodegenerative disease that involves loss of memory, thinking, and reasoning and several behavioral characteristics. Alzheimer's disease affects an individual in a drastic manner by exhibiting its impact on the individual's daily routine. A completely accurate diagnosis can be achieved only after the death of a patient by observing the plaques and tangles in the brain. Hence, it is important that researchers develop robust diagnostic tools for detecting Alzheimer's disease. Neurotransmitters are suitable biomarkers for various neurological disorders, such as Parkinson's disease, Alzheimer's disease, and depression. In recent years, various analytical techniques for the detection of neurotransmitters have emerged. In this review article, we discuss the recent trends of such techniques and their limitations in the detection of various biomarkers involved in Alzheimer's disease. Furthermore, we investigate the recent progress in nanotechnology-based methods and future perspectives for the detection of neurotransmitters. (C) 2018 Elsevier B.V. All rights reserved.