微流控 SERS 设备:照亮生物分析的未来。

Discover Materials Pub Date : 2022-01-01 Epub Date: 2022-12-15 DOI:10.1007/s43939-022-00033-3
Maria João Oliveira, Ana Dalot, Elvira Fortunato, Rodrigo Martins, Hugh J Byrne, Ricardo Franco, Hugo Águas
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引用次数: 0

摘要

表面增强拉曼光谱(SERS)在生物医学领域的应用开辟了一条新途径,这主要归功于 SERS 标签所具有的显著优势。SERS 标签具有丰富而高度特异的光谱指纹信息、高灵敏度和出色的复用潜力,可间接识别分析物,因此在体外和体内检测中非常有用。纳米材料科学、新型拉曼报告器和新兴生物共轭协议的最新创新进展,帮助开发了超亮 SERS 标签,使其成为基于 SERS 的多重检测和诊断应用的强大工具。然而,要将 SERS 平台应用于实际问题,必须解决一些挑战,尤其是临床应用方面的挑战。本综述介绍了目前对影响 SERS 标签质量的因素的理解,以及为不仅提高光谱质量,而且提高分析物与目标配体相互作用的特异性和可重复性而通常采用的策略。报告还进一步探讨了将 SERS 与微流控技术相结合用于生物医学应用的一些最常见的方法。文章强调并探讨了了解微流控生产和表征的重要性,以便在确保高通量生产的同时获得出色的设备质量,随后介绍了为发挥基于 SERS 的微流控技术的潜力所面临的挑战和开发的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Microfluidic SERS devices: brightening the future of bioanalysis.

A new avenue has opened up for applications of surface-enhanced Raman spectroscopy (SERS) in the biomedical field, mainly due to the striking advantages offered by SERS tags. SERS tags provide indirect identification of analytes with rich and highly specific spectral fingerprint information, high sensitivity, and outstanding multiplexing potential, making them very useful in in vitro and in vivo assays. The recent and innovative advances in nanomaterial science, novel Raman reporters, and emerging bioconjugation protocols have helped develop ultra-bright SERS tags as powerful tools for multiplex SERS-based detection and diagnosis applications. Nevertheless, to translate SERS platforms to real-world problems, some challenges, especially for clinical applications, must be addressed. This review presents the current understanding of the factors influencing the quality of SERS tags and the strategies commonly employed to improve not only spectral quality but the specificity and reproducibility of the interaction of the analyte with the target ligand. It further explores some of the most common approaches which have emerged for coupling SERS with microfluidic technologies, for biomedical applications. The importance of understanding microfluidic production and characterisation to yield excellent device quality while ensuring high throughput production are emphasised and explored, after which, the challenges and approaches developed to fulfil the potential that SERS-based microfluidics have to offer are described.

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来源期刊
Discover Materials
Discover Materials materials-
CiteScore
3.30
自引率
0.00%
发文量
10
审稿时长
23 days
期刊介绍: Discover Materials is part of the Discover journal series committed to providing a streamlined submission process, rapid review and publication, and a high level of author service at every stage. It is a broad, open access journal publishing research from across all fields of materials research. Discover Materials covers all areas where materials are activators for innovation and disruption, providing cutting-edge research findings to researchers, academicians, students, and engineers. It considers the whole value chain, ranging from fundamental and applied research to the synthesis, characterisation, modelling and application of materials. Moreover, we especially welcome papers connected to so-called ‘green materials’, which offer unique properties including natural abundance, low toxicity, economically affordable and versatility in terms of physical and chemical properties. They are the activators of an eco-sustainable economy serving all innovation sectors. Indeed, they can be applied in numerous scientific and technological applications including energy, electronics, building, construction and infrastructure, materials science and engineering applications and pollution management and technology. For instance, biomass-based materials can be developed as a source for biodiesel and bioethanol production, and transformed into advanced functionalized materials for applications such as the transformation of chitin into chitosan which can be further used for biomedicine, biomaterials and tissue engineering applications. Green materials for electronics are also a key vector concerning the integration of novel devices on conformable, flexible substrates with free-of-form surfaces for innovative product development. We also welcome new developments grounded on Artificial Intelligence to model, design and simulate materials and to gain new insights into materials by discovering new patterns and relations in the data.
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