Bioassay: A novel approach in antipsychotic pharmacology.


Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 08 04 2020
revised: 07 05 2020
accepted: 11 05 2020
pubmed: 7 6 2020
medline: 26 5 2021
entrez: 7 6 2020
Statut: ppublish

Résumé

Accurate identification and measurement of antipsychotic drugs in in-vivo and in-vitro environment has a key role in the development and design of drugs, as any slight change in their dosage can affect the treatment process. Determination of antipsychotics in physiological fluids such as blood, plasma and urine are important in drug tablets and medical approaches. Chromatography is the main method used in the determination of antipsychotic drugs but this technique, despite its relative sensitivity, is a costly and complicated method. Biosensors, as simple, low-cost and highly sensitive and specific tools, can be the best alternative to eliminate the drawbacks of routine methods. For this purpose, various biosensors have been extensively developed in the recent years. The main objective of the present study is to introduce and collect recently developed biosensors for the measurement and detection of antipsychotic drugs. Therapeutic drug monitoring (TDM) is a fundamental principle in pharmaceuticals, with the primary goal being to reduce and eliminate the side effects of drugs. This study shows that biosensors can be a modern and novel approach in the field of TDM.

Identifiants

pubmed: 32504638
pii: S0009-8981(20)30220-5
doi: 10.1016/j.cca.2020.05.025
pii:
doi:

Substances chimiques

Antipsychotic Agents 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

30-35

Informations de copyright

Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ahmad Mobed (A)

Research Center of Psychiatry and Behavioral Sciences, Faculty of Medicine Tabriz University of Medical Sciences, Iran; Aging Research Institute, Faculty of Medicine, Tabriz University of Medical Sciences, Iran. Electronic address: Mobeda@tbzmed.ac.ir.

Ali Ahmadalipour (A)

Research Center of Psychiatry and Behavioral Sciences, Faculty of Medicine Tabriz University of Medical Sciences, Iran; Aging Research Institute, Faculty of Medicine, Tabriz University of Medical Sciences, Iran.

Ali Fakhari (A)

Research Center of Psychiatry and Behavioral Sciences, Faculty of Medicine Tabriz University of Medical Sciences, Iran.

Shakouri Seyed Kazem (SS)

Aging Research Institute, Faculty of Medicine, Tabriz University of Medical Sciences, Iran.

Ghazal Koohkan Saadi (GK)

Research Center of Psychiatry and Behavioral Sciences, Faculty of Medicine Tabriz University of Medical Sciences, Iran; Aging Research Institute, Faculty of Medicine, Tabriz University of Medical Sciences, Iran.

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Classifications MeSH