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用于早期癌症检测的免疫传感器设计中的前沿3D打印技术。

Cutting-edge 3D printing in immunosensor design for early cancer detection.

作者信息

Kothawade Sachin, Padwal Vijaya

机构信息

Department of Pharmaceutics, SCSSS's Sitabai, Thite College of Pharmacy, Shirur-412210, Dist-Pune, Maharashtra, India.

出版信息

Mikrochim Acta. 2024 Dec 30;192(1):42. doi: 10.1007/s00604-024-06880-6.

Abstract

Cancer is a major cause of death globally, and early detection is a key to improving outcomes. Traditional diagnostic methods have limitations such as being invasive and lacking sensitivity. Immunosensors, which detect cancer biomarkers using antibodies, offer a solution with high sensitivity and selectivity. When combined with 3D printing, these immunosensors can be customized to detect specific cancer markers, creating rapid, cost-effective, and scalable diagnostic tools. The article reviews the principles behind immunosensors, different 3D fabrication methods such as Fused Deposition Modeling (FDM) and Stereolithography (SLA), and discusses how functionalization strategies, such as surface modifications, can enhance the sensitivity of these devices. The integration of 3D printing allows for the creation of complex sensor structures, offering advantages such as customization, rapid prototyping, and multi-material printing. These advancements make immunosensors arrays highly promising for early cancer detection, tumor profiling, and personalized medicine. The article also explores challenges like scalability, material biocompatibility, and the need for clinical validation. Future perspectives suggest the potential of integrating nanomaterials, multiplexed detection, and wearable technology to further improve the performance and accessibility of these diagnostic tools.

摘要

癌症是全球主要的死亡原因之一,早期检测是改善治疗结果的关键。传统诊断方法存在诸如具有侵入性和缺乏敏感性等局限性。免疫传感器利用抗体检测癌症生物标志物,提供了一种具有高灵敏度和选择性的解决方案。当与3D打印相结合时,这些免疫传感器可以定制以检测特定的癌症标志物,从而创建快速、经济高效且可扩展的诊断工具。本文回顾了免疫传感器背后的原理、诸如熔融沉积建模(FDM)和立体光刻(SLA)等不同的3D制造方法,并讨论了诸如表面修饰等功能化策略如何能够提高这些设备的灵敏度。3D打印的集成允许创建复杂的传感器结构,具有定制化、快速原型制作和多材料打印等优势。这些进展使得免疫传感器阵列在早期癌症检测、肿瘤分析和个性化医疗方面极具前景。本文还探讨了诸如可扩展性、材料生物相容性以及临床验证需求等挑战。未来展望表明,整合纳米材料、多重检测和可穿戴技术有可能进一步提高这些诊断工具的性能和可及性。

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