EXPRESS:主动表面增强拉曼光谱(SERS):利用外部扰动增强复杂基质中信号对比度的新概念。

IF 2.2 3区 化学 Q2 INSTRUMENTS & INSTRUMENTATION Applied Spectroscopy Pub Date : 2024-08-07 DOI:10.1177/00037028241267898
Sara Mosca, Megha Mehta, William H Skinner, Benjamin Gardner, Francesca Palombo, Nicholas Stone, Pavel Matousek
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引用次数: 0

摘要

无创检测组织深层的表面增强拉曼光谱(SERS)信号是许多生物和临床应用(包括疾病诊断和治疗监测)中面临的共同挑战。这些信号通常很微弱,不易从通常大得多的拉曼和荧光背景信号(如来自周围组织的信号)中分辨出来。因此,在这些情况下,SERS 信号的检测灵敏度往往达不到最佳水平。在其他漫散射样品和复杂基质中进行 SERS 测量时也会出现类似问题。在这里,我们提出了一个新概念--主动 SERS,用于从生物组织等复杂基质深处有效地检索 SERS 信号,从而缓解这些问题。它依靠对样品施加外部扰动来改变来自基质深处纳米粒子(NPs)的 SERS 信号。在有这种扰动的情况下和没有这种扰动的情况下,或者在这种扰动之前和之后进行测量,可以提供强大的对比数据,从而有效地消除基质信号,更清晰地显示所需的 SERS 信号,而不受干扰背景和相关伪影的影响。我们使用超声波(US)作为外部扰动源,并将 SERS NPs 深入异质组织模型中,模拟在小目标病灶中积累的 NPs 簇,对这一概念进行了演示。通过消除在异质组织样本的邻近空间位置进行传统测量时出现的减法伪影,施加的 US 扰动引起的 SERS 信号强度总体下降了 21%,SERS 信号对比度也大大提高。虽然这项技术是用带有标准拉曼标签的 SERS 金 NPs 演示的,但我们设想可以专门设计有源 SERS NPs(包括纳米级金属几何形状和拉曼标签),使其对外部刺激产生增强响应,从而进一步增强可实现的 SERS 信号对比度,并进一步提高检测灵敏度。该方法使用透射拉曼光谱进行了演示;不过,它也适用于其他拉曼实现方法,包括空间偏移拉曼光谱和在复杂基质的深度和表面进行的传统拉曼光谱。
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Active Surface-Enhanced Raman Spectroscopy (SERS): A Novel Concept for Enhancing Signal Contrast in Complex Matrices Using External Perturbation.

Noninvasive detection of surface-enhanced Raman spectroscopy (SERS) signals from deep within tissue represents a common challenge in many biological and clinical applications including disease diagnosis and therapy monitoring. Such signals are typically weak and not readily discernible from often much larger Raman and fluorescence background signals (e.g., from surrounding tissue). Consequently, suboptimal sensitivity in the detection of SERS signals is often achieved in these situations. Similar issues can arise in SERS measurements in other diffusely scattering samples and complex matrices. Here, we propose a novel concept, active SERS, for the efficient retrieval of SERS signals from deep within complex matrices such as biological tissues that mitigates these issues. It relies on applying an external perturbation to the sample to alter the SERS signal from nanoparticles (NPs) deep inside the matrix. A measurement with and without, or before and after, such perturbation then can provide powerful contrasting data enabling an effective elimination of the matrix signals to reveal more clearly the desired SERS signal without the interfering background and associated artifacts. The concept is demonstrated using ultrasound (US) as an external source of perturbation and SERS NPs inserted deep within a heterogeneous tissue phantom mimicking a cluster of NPs accumulated within a small target lesion. The overall SERS signal intensity induced by the applied US perturbation decreased by ∼21% and the SERS signal contrast was considerably improved by eliminating subtraction artifacts present in a conventional measurement performed at a neighboring spatial location in a heterogeneous tissue sample. Although the technique was demonstrated with SERS gold NPs with a standard Raman label, it is envisaged that active SERS NPs (both the nanoscale metal geometry and Raman label) could be specifically designed to deliver an augmented response to the external stimulus to further enhance the achievable SERS signal contrast and yield even greater improvement in detection sensitivity. The method was demonstrated using transmission Raman spectroscopy; however, it is also applicable to other Raman implementations including spatially offset Raman spectroscopy and conventional Raman spectroscopy performed both at depth and at surfaces of complex matrices.

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来源期刊
Applied Spectroscopy
Applied Spectroscopy 工程技术-光谱学
CiteScore
6.60
自引率
5.70%
发文量
139
审稿时长
3.5 months
期刊介绍: Applied Spectroscopy is one of the world''s leading spectroscopy journals, publishing high-quality peer-reviewed articles, both fundamental and applied, covering all aspects of spectroscopy. Established in 1951, the journal is owned by the Society for Applied Spectroscopy and is published monthly. The journal is dedicated to fulfilling the mission of the Society to “…advance and disseminate knowledge and information concerning the art and science of spectroscopy and other allied sciences.”
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