期刊
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
卷 132, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.trac.2020.116066
关键词
Carbon nanotubes; Nano-cues; Biosensors; Biomolecules; Drug release carriers; Analytical detection; Environmental and biomedical settings
The architecture of carbon nanotubes (CNTs) demonstrate phenomenal electronic, mechanical, biological and thermal attributes for highly requisite real-time applications. For instance, electronic and biological features of CNTs are surprisingly striking to engineer robust sensing and/or delivery cues for environ-mental, analytical diagnostics, and biomedical settings. With CNTs enforcement, several types of pristine and hybrid nanomaterials have been fabricated, though using different support carriers and synthetic or biological materials and used as sensory items or exploited as drug delivery systems (DDSs). Regardless of intensive research and applied potentialities of CNTs, several concerns, such as biodegradability, biotoxicity, and biosafety remains challenging and should be dealt with care prior to design and fabrication. This is mainly because of the lacking standardized protocols and ramification of pristine CNTs or CNTs-based hybrid nano-constructs on the ecosystem and human body are not well-established. For the futuristic use of these remarkable materials in the environmental, analytical diagnostics, and biomedical settings, their biological attributes and multifunctional characteristics must be elucidated with state-of-the-art. Herein, we reviewed CNTs-assisted analytical detection potentialities at large, and sensing/delivery potentialities of CNTs-based cues, in particular for environmental and biomedical monitoring. Several examples are given with particular emphasis to biosensors, DDSs, and implantations of CNTs-based cues to recognize viruses, cancerous cells, glucose, DNA, volatile organic compounds (VOCs) and various inorganic gases. The review is wrapped-up with concluding notes and brief outlook over the futuristic developments to further insight the CNTs-based robust cues and their perspectives for commercialization. (C) 2020 Elsevier B.V. All rights reserved.
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