Integration of nanobiosensors into organ-on-chip systems for monitoring viral infections

IF 13.4 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Nano Convergence Pub Date : 2024-11-26 DOI:10.1186/s40580-024-00455-0
Jiande Zhang, Min-Hyeok Kim, Seulgi Lee, Sungsu Park
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Abstract

The integration of nanobiosensors into organ-on-chip (OoC) models offers a promising advancement in the study of viral infections and therapeutic development. Conventional research methods for studying viral infection, such as two-dimensional cell cultures and animal models, face challenges in replicating the complex and dynamic nature of human tissues. In contrast, OoC systems provide more accurate, physiologically relevant models for investigating viral infections, disease mechanisms, and host responses. Nanobiosensors, with their miniaturized designs and enhanced sensitivity, enable real-time, continuous, in situ monitoring of key biomarkers, such as cytokines and proteins within these systems. This review highlights the need for integrating nanobiosensors into OoC systems to advance virological research and improve therapeutic outcomes. Although there is extensive literature on biosensors for viral infection detection and OoC models for replicating infections, real integration of biosensors into OoCs for continuous monitoring remains unachieved. We discuss the advantages of nanobiosensor integration for real-time tracking of critical biomarkers within OoC models, key biosensor technologies, and current OoC systems relevant to viral infection studies. Additionally, we address the main technical challenges and propose solutions for successful integration. This review aims to guide the development of biosensor-integrated OoCs, paving the way for precise diagnostics and personalized treatments in virological research.

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将纳米生物传感器集成到用于监测病毒感染的片上器官系统中
将纳米生物传感器集成到片上器官(OoC)模型中为病毒感染研究和治疗开发提供了一个前景广阔的进步。研究病毒感染的传统方法,如二维细胞培养和动物模型,在复制人体组织的复杂性和动态性方面面临挑战。相比之下,OoC 系统为研究病毒感染、疾病机制和宿主反应提供了更准确、更贴近生理的模型。纳米生物传感器具有微型化设计和更高的灵敏度,可对这些系统中的细胞因子和蛋白质等关键生物标记物进行实时、连续和原位监测。本综述强调了将纳米生物传感器集成到 OoC 系统中以推进病毒学研究和改善治疗效果的必要性。尽管有大量文献介绍了用于病毒感染检测的生物传感器和用于复制感染的 OoC 模型,但真正将生物传感器集成到 OoC 中进行连续监测的工作仍未实现。我们讨论了在 OoC 模型中实时跟踪关键生物标记物的纳米生物传感器集成的优势、关键生物传感器技术以及与病毒感染研究相关的当前 OoC 系统。此外,我们还讨论了主要的技术挑战,并提出了成功集成的解决方案。本综述旨在指导生物传感器集成 OoC 的开发,为病毒学研究中的精确诊断和个性化治疗铺平道路。
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来源期刊
Nano Convergence
Nano Convergence Engineering-General Engineering
CiteScore
15.90
自引率
2.60%
发文量
50
审稿时长
13 weeks
期刊介绍: Nano Convergence is an internationally recognized, peer-reviewed, and interdisciplinary journal designed to foster effective communication among scientists spanning diverse research areas closely aligned with nanoscience and nanotechnology. Dedicated to encouraging the convergence of technologies across the nano- to microscopic scale, the journal aims to unveil novel scientific domains and cultivate fresh research prospects. Operating on a single-blind peer-review system, Nano Convergence ensures transparency in the review process, with reviewers cognizant of authors' names and affiliations while maintaining anonymity in the feedback provided to authors.
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