Analytical Methods for Tetracyclic Antidepressants: A Comprehensive Review

Author:

Shetty Sharan R.1,Rathore Seema S.1ORCID,Leno Jenita Josephine1ORCID

Affiliation:

1. Department of Pharmaceutics College of Pharmaceutical Sciences Dayananda Sagar University Bengaluru Karnataka India

Abstract

ABSTRACTDepression is a mental illness that affects patients’ behavior, and it impacts approximately 264 million people globally. Tetracyclic antidepressants (TeCAs) are one class of medication that is available for the treatment of depression. These medications work by modifying hormones such as serotonin, norepinephrine, and dopamine. TeCAs, such as setiptiline, amoxapine, mianserin, maprotiline, and mirtazapine, are four ring‐based compounds that assist in preventing the brain from reabsorbing the neurotransmitters norepinephrine and serotonin. Each of these medications interacts with adrenergic (α1 and α2) and serotonin (5HT1 and 5HT2) receptors independently. Using biological samples (plasma, blood, and urine) and pharmaceutical formulations, this review focuses on providing a complete overview of the various analytical conditions maintained for the medications in the above class and their metabolites. Major analytical methods such as mass spectrometry, gas chromatography, and high‐performance liquid chromatography are used to quantify and determine the drugs. This review provides a thorough understanding of impurity identification, pharmacokinetic and stability evaluations, and structural degradation quantification. It provides valuable and reliable information for research, enhancing their understanding of the subject matter.

Publisher

Wiley

Reference104 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3