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基于手持式拉曼光谱仪的银纳米片对人汗中肌酐和皮质醇的双重检测。

Hand-Held Raman Spectrometer-Based Dual Detection of Creatinine and Cortisol in Human Sweat Using Silver Nanoflakes.

机构信息

Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Republic of Korea.

Department of Medical Device, Korea Institute of Machinery and Materials (KIMM), Daegu 42994, Republic of Korea.

出版信息

Anal Chem. 2021 Nov 16;93(45):14996-15004. doi: 10.1021/acs.analchem.1c02496. Epub 2021 Nov 4.

DOI:10.1021/acs.analchem.1c02496
PMID:34736319
Abstract

The conventional tissue biopsy method yields isolated snapshots of a narrow region. Therefore, it cannot facilitate comprehensive disease characterization and monitoring. Recently, the detection of tumor-derived components in body fluids─a practice known as liquid biopsy─has attracted increased attention from the biochemical research and clinical application viewpoints. In this vein, surface-enhanced Raman scattering (SERS) has been identified as one of the most powerful liquid-biopsy analysis techniques, owing to its high sensitivity and specificity. Moreover, it affords high-capacity spectral multiplexing for simultaneous target detection and a unique ability to obtain intrinsic biomolecule-fingerprint spectra. This paper presents the fabrication of silver nanosnowflakes (SNSFs) using the polyol method and their subsequent dropping onto a hydrophobic filter paper. The SERS substrate, which comprises the SNSFs and hydrophobic filter paper, facilitates the simultaneous detection of creatinine and cortisol in human sweat using a hand-held Raman spectrometer. The proposed SERS system affords Raman spectrometry to be performed on small sample volumes (2 μL) to identify the normal and at-risk creatinine and cortisol groups.

摘要

传统的组织活检方法只能获取狭窄区域的孤立图像,因此无法全面描述和监测疾病。最近,人们越来越关注从体液中检测肿瘤来源成分的方法,即液体活检。从生物化学研究和临床应用的角度来看,表面增强拉曼散射(SERS)已被确定为最强大的液体活检分析技术之一,因为它具有高灵敏度和特异性。此外,它还具有大容量光谱复用功能,可实现同时检测多个目标,并具有获取固有生物分子指纹图谱的独特能力。本文采用多元醇法制备了银纳米雪花(SNSFs),并将其滴到疏水滤纸表面。SERS 基底由 SNSFs 和疏水滤纸组成,可使用手持式 Raman 光谱仪同时检测人汗中的肌酸酐和皮质醇。所提出的 SERS 系统可在小样本量(2μL)下进行 Raman 光谱分析,以识别正常和高危的肌酸酐和皮质醇组。

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