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数字胶体增强拉曼光谱学通过单分子计数。

Digital colloid-enhanced Raman spectroscopy by single-molecule counting.

机构信息

State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.

National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.

出版信息

Nature. 2024 Apr;628(8009):771-775. doi: 10.1038/s41586-024-07218-1. Epub 2024 Apr 17.

Abstract

Quantitative detection of various molecules at very low concentrations in complex mixtures has been the main objective in many fields of science and engineering, from the detection of cancer-causing mutagens and early disease markers to environmental pollutants and bioterror agents. Moreover, technologies that can detect these analytes without external labels or modifications are extremely valuable and often preferred. In this regard, surface-enhanced Raman spectroscopy can detect molecular species in complex mixtures on the basis only of their intrinsic and unique vibrational signatures. However, the development of surface-enhanced Raman spectroscopy for this purpose has been challenging so far because of uncontrollable signal heterogeneity and poor reproducibility at low analyte concentrations. Here, as a proof of concept, we show that, using digital (nano)colloid-enhanced Raman spectroscopy, reproducible quantification of a broad range of target molecules at very low concentrations can be routinely achieved with single-molecule counting, limited only by the Poisson noise of the measurement process. As metallic colloidal nanoparticles that enhance these vibrational signatures, including hydroxylamine-reduced-silver colloids, can be fabricated at large scale under routine conditions, we anticipate that digital (nano)colloid-enhanced Raman spectroscopy will become the technology of choice for the reliable and ultrasensitive detection of various analytes, including those of great importance for human health.

摘要

在许多科学和工程领域,从检测致癌诱变剂和早期疾病标志物到环境污染物和生物恐怖剂,对复杂混合物中各种低浓度分子的定量检测一直是主要目标。此外,能够在无需外部标记或修饰的情况下检测这些分析物的技术非常有价值,而且通常更受青睐。在这方面,表面增强拉曼光谱仅基于其固有且独特的振动特征即可检测复杂混合物中的分子种类。然而,由于信号不均匀性不可控和在低分析物浓度下重现性差,迄今为止,表面增强拉曼光谱在这方面的发展一直具有挑战性。在这里,作为概念验证,我们表明,使用数字(纳米)胶体增强拉曼光谱,通过单分子计数,可以常规地以可重现的方式对非常低浓度的广泛目标分子进行定量,这仅受测量过程泊松噪声的限制。由于包括羟胺还原银胶体在内的增强这些振动特征的金属胶体纳米颗粒可以在常规条件下大规模制造,因此我们预计数字(纳米)胶体增强拉曼光谱将成为可靠且超灵敏检测各种分析物的首选技术,包括对人类健康非常重要的分析物。

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