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Label-Free Surface-Enhanced Raman Spectroscopy Biosensor for On-Site Breast Cancer Detection Using Human Tears.
ACS Applied Materials & Interfaces ( IF 8.3 ) Pub Date : 2020-02-04 , DOI: 10.1021/acsami.9b19421
Soogeun Kim 1 , Tae Gi Kim 2 , Soo Hyun Lee 3 , Wansun Kim 1 , Ayoung Bang 1 , Sang Woong Moon 2 , Jeongyoon Song 4 , Jae-Ho Shin 2 , Jae Su Yu 3 , Samjin Choi 1
Affiliation  

Surface-enhanced Raman scattering (SERS) is an ultrasensitive molecular screening technique with greatly enhanced Raman scattering signals from trace amounts of analytes near plasmonic nanostructures. However, research on the development of a sensor that balances signal enhancement, reproducibility, and uniformity has not yet been proposed for practical applications. In this study, we demonstrate the potential of the practical application for detecting or predicting asymptomatic breast cancer from human tears using a portable Raman spectrometer with an identification algorithm based on multivariate statistics. This potentiality was realized through the fabrication of a plasmonic SERS substrate equipped with a well-aligned, gold-decorated, hexagonal-close-packed polystyrene (Au/HCP-PS) nanosphere monolayer that provided femtomole-scale detection, giga-scale enhancement, and <5% relative standard deviation for reliability and reproducibility, regardless of the measuring site. Our results can provide a first step toward developing a noninvasive, real-time screening technology for detecting asymptomatic tumors and preventing tumor recurrence.

中文翻译:

无标记表面增强拉曼光谱生物传感器,用于使用人眼泪液进行现场乳腺癌检测。

表面增强拉曼散射(SERS)是一种超灵敏的分子筛查技术,可大大增强来自等离激元纳米结构附近痕量分析物的拉曼散射信号。然而,尚未提出对平衡信号增强,再现性和均匀性的传感器的开发的研究以用于实际应用。在这项研究中,我们展示了使用便携式拉曼光谱仪和基于多元统计量的识别算法从人的眼泪中检测或预测无症状乳腺癌的实际应用潜力。这种潜力是通过制造等离子SERS基板实现的,该基板配备了排列整齐的,金饰的,六方密堆积的聚苯乙烯(Au / HCP-PS)纳米球单层,可提供飞摩尔规模的检测,千兆级增强功能,可靠性和可重复性的相对标准偏差小于5%,而与测量位置无关。我们的结果可以为开发无创,实时筛查技术以检测无症状肿瘤和预防肿瘤复发提供第一步。
更新日期:2020-02-06
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