Nanopsychiatry: Advancing psychiatric diagnosis and monitoring through nanotechnology-based detection

被引:0
|
作者
Salatin, Sara [1 ]
Shafiee-Kandjani, Ali Reza [2 ]
Ghobadloo, Parvin Abedi [3 ]
Pakkhesal, Sina [4 ]
Hamidi, Samin [2 ]
机构
[1] Tabriz Univ Med Sci, Neurosci Res Ctr, Tabriz, Iran
[2] Tabriz Univ Med Sci, Res Ctr Psychiat & Behav Sci, Tabriz, Iran
[3] Azarbaijan Shahid Madani Univ, Fac Basic Sci, Dept Chem, Tabriz, Iran
[4] Tabriz Univ Med Sci, Student Res Comm, Tabriz, Iran
关键词
Nanomedicine; Nanosensor; Wearable nanosensors; Neuropsychiatry; Neurotransmitter; CARBON NANOTUBES; ELECTROCHEMICAL BIOSENSORS; ANXIETY DISORDERS; GRAPHENE; DOPAMINE; NANOPARTICLES; CORTISOL; HEALTH; SENSOR; STRESS;
D O I
10.1016/j.cca.2025.120268
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Nanopsychiatry, operating at the nanoscale, leverages engineered nanomaterials and nanodevices to revolutionize psychiatric diagnostics and therapeutics. This review systematically analyzes the implementation of advanced nanomaterials, including quantum dots, carbon nanotubes (CNTs), and metal nanoparticles, in neural interface systems for neurotransmitter detection and drug monitoring. We evaluate the integration of nanoscale architectures in developing high-specificity biosensors for key neurotransmitters such as dopamine, serotonin, and glutamate. The review critically examines recent advances in nanomaterial-based electrochemical and optical sensing platforms, incorporating modified electrodes with conducting polymers, metallic nanocomposites, and functionalized graphene derivatives. These systems demonstrate enhanced sensitivity and selective multi-analyte detection capabilities in complex biological matrices. We analyze how these nanosensors complement conventional neuroimaging techniques, enabling monitoring of neurochemical dynamics in psychiatric conditions with improved spatial and temporal resolution. Furthermore, we assess the development of flexible, nanomaterial-enhanced wearable biosensors incorporating screen-printed electrodes and microfluidic systems. These devices achieve continuous monitoring of neurological biomarkers, facilitating quantitative assessment of psychiatric symptoms and treatment responses. The integration of machine learning algorithms with these nanoscale sensing platforms enables data processing and pattern recognition for personalized psychiatric interventions.
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页数:13
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