Stimuli-Responsive Carbon Nanotubes for On-Demand Cancer Therapy: A Review.
1/5 보강
Stimuli-responsive carbon nanotubes (CNTs) have emerged as transformative nanocarriers in precision oncology due to their unique physicochemical, optical, and mechanical properties, enabling controlle
APA
Radha M, Chaudhari RS, et al. (2026). Stimuli-Responsive Carbon Nanotubes for On-Demand Cancer Therapy: A Review.. AAPS PharmSciTech, 27(3). https://doi.org/10.1208/s12249-026-03391-w
MLA
Radha M, et al.. "Stimuli-Responsive Carbon Nanotubes for On-Demand Cancer Therapy: A Review.." AAPS PharmSciTech, vol. 27, no. 3, 2026.
PMID
41813937 ↗
Abstract 한글 요약
Stimuli-responsive carbon nanotubes (CNTs) have emerged as transformative nanocarriers in precision oncology due to their unique physicochemical, optical, and mechanical properties, enabling controlled, targeted drug delivery. This review presents a comprehensive analysis of CNT-based systems engineered to respond to specific internal (pH, redox, and enzymatic) and external (light, temperature, magnetic, and ultrasound) stimuli for on-demand cancer therapy. The discussion covers synthesis methods, structural differences between single- and multi-walled CNTs, and diverse functionalization strategies that enhance solubility, biocompatibility, and stimuli responsiveness. The crucial advances in CNT-based delivery systems demonstrate their ability to achieve spatiotemporal control over drug release, improve tumour penetration, and minimize systemic toxicity through mechanisms such as pH-triggered drug detachment, GSH-mediated redox cleavage, and NIR-induced photothermal ablation. Integrating CNTs with polymers, peptides, and metal nanoparticles further enables multimodal applications, including chemo-photothermal, chemo-immuno, and gene therapies. Despite remarkable progress, challenges remain in understanding long-term pharmacokinetics, immunogenicity, and biodistribution, as well as in establishing standardized synthesis and regulatory frameworks. The review highlights emerging trends such as AI-driven CNT design, predictive pharmacokinetic modelling, and personalized nanomedicine, emphasizing their potential to revolutionize cancer treatment by achieving precise, adaptive, and patient-specific therapy.
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