用于传感应用的3d打印微针:新兴主题和未来趋势

Kelcilene B.R. Teodoro , Tamires S. Pereira , Ana Laura M.M. Alves , Francisco V. dos Santos , Fabrício A. dos Santos , Daniel S. Correa
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引用次数: 0

摘要

3d打印微针(MNs)彻底改变了生物医学领域,使其在美容治疗、疫苗输送、诊断和实时生物标志物分析方面的应用成为可能。这些微创结构促进了传感器和生物传感器的发展,用于各种应用,包括人类,兽医,农业和环境领域。最近的趋势倾向于由聚合物和纳米材料制成的纳米颗粒,而不是传统的金属,解决了与成本、生物相容性和可扩展性相关的挑战。在此背景下,本文探讨了3D打印制造的不同mns传感器的最新进展,突出了创新,缺点,并指出了未来扩大其在医疗,农业和环境领域应用的机会。首先,我们讨论了规划高效MN设计的一般方面(包括可能的类型和所需的性能),以及3D打印聚合物MN的材料选择和制造技术。接下来,我们将研究打印技术、制造的MNs及其与传感器的集成之间的关系,然后是探索这种联系的研究示例。关键创新包括使用可生物降解树脂、纳米复合材料、人工智能和机器学习进行设计优化。虽然生物医学应用占主导地位,但我们强调了通过定制制造方法在农业和环境监测方面的mnns的重大机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

3D-printed microneedles for sensing applications: Emerging topics and future trends

3D-printed microneedles for sensing applications: Emerging topics and future trends
3D-printed microneedles (MNs) have revolutionized the biomedical sector, enabling applications in aesthetic treatments, vaccine delivery, diagnostics, and real-time biomarker analysis. These minimally invasive structures advance the development of sensors and biosensors for diverse applications, including human, veterinary, agricultural, and environmental domains. Recent trends favor MNs made from polymers and nanomaterials over traditional metals, addressing challenges related to cost, biocompatibility, and scalability. In this context, this review explores recent advancements on different MNs-based sensors, fabricated by 3D printing, highlighting innovations, shortcomings and also pointing future opportunities to expand their applications in medical, agricultural and environmental domains. Initially, we discuss the general aspects of planning an efficient MN's design (encompassing possible types and required properties), as well as the choice of materials and manufacturing techniques for 3D printing polymeric MNs. Next, we examine the relationship between printing techniques, the manufactured MNs, and their integration with sensors, followed by examples of studies that explore this connection. Key innovations include the use of biodegradable resins, nanocomposites, artificial intelligence, and machine learning for design optimization. While biomedical applications dominate, we highlight significant opportunities for MNs in agriculture and environmental monitoring through tailored manufacturing approaches.
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