scholarly journals Picoanalysis of Drugs in Biofluids with Quantitative Label-Free Surface-Enhanced Raman Spectroscopy

Small ◽  
2018 ◽  
Vol 14 (47) ◽  
pp. 1802392 ◽  
Author(s):  
Vladimir Turzhitsky ◽  
Lei Zhang ◽  
Gary L. Horowitz ◽  
Edward Vitkin ◽  
Umar Khan ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Free Surface ◽  
Surface Enhanced Raman Spectroscopy ◽  
Label Free ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Label-free surface-enhanced Raman spectroscopy detection of absorption manner of lysozyme based on nanodots arrays

2020 ◽  
Vol 509 ◽  
pp. 145332 ◽  
Author(s):  
Jiqiang Wang ◽  
Yongda Yan ◽  
Shunyu Chang ◽  
Yimin Han ◽  
Yanquan Geng
Keyword(s):  
Raman Spectroscopy ◽  
Free Surface ◽  
Surface Enhanced Raman Spectroscopy ◽  
Label Free ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

scholarly journals Ultra sensitive label free surface enhanced Raman spectroscopy method for the detection of biomolecules

Talanta ◽  
2014 ◽  
Vol 130 ◽  
pp. 20-25 ◽  
Author(s):  
Juanita Hughes ◽  
Emad L. Izake ◽  
William B. Lott ◽  
Godwin A. Ayoko ◽  
Martin Sillence
Keyword(s):  
Raman Spectroscopy ◽  
Free Surface ◽  
Surface Enhanced Raman Spectroscopy ◽  
Spectroscopy Method ◽  
Label Free ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Detection Of Biomolecules

Rapid detection of TNT in aqueous media by selective label free surface enhanced Raman spectroscopy

Talanta ◽  
2015 ◽  
Vol 134 ◽  
pp. 732-738 ◽  
Author(s):  
Arniza K.M. Jamil ◽  
Emad L. Izake ◽  
Arumugam Sivanesan ◽  
Peter M Fredericks
Keyword(s):  
Raman Spectroscopy ◽  
Free Surface ◽  
Rapid Detection ◽  
Aqueous Media ◽  
Surface Enhanced Raman Spectroscopy ◽  
Label Free ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Selective Label

Bimetallic plasmonic Au@Ag nanocuboids for rapid and sensitive detection of phthalate plasticizers with label-free surface-enhanced Raman spectroscopy

The Analyst ◽  
2019 ◽  
Vol 144 (12) ◽  
pp. 3861-3869 ◽  
Author(s):  
Xiaoyan Hu ◽  
Xinru Wang ◽  
Zipan Ge ◽  
Le Zhang ◽  
Yaru Zhou ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Free Surface ◽  
Human Health ◽  
Food Additives ◽  
Surface Enhanced Raman Spectroscopy ◽  
Sensitive Detection ◽  
Label Free ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Phthalate plasticizers (PAEs) are posing a serious threat to human health, so it is urgent to develop effective and reliable ways to detect the food additives PAEs sensitively.

Label-Free Surface-Enhanced Raman Spectroscopy Detection of DNA with Single-Base Sensitivity

2015 ◽  
Vol 137 (15) ◽  
pp. 5149-5154 ◽  
Author(s):  
Li-Jia Xu ◽  
Zhi-Chao Lei ◽  
Jiuxing Li ◽  
Cheng Zong ◽  
Chaoyong James Yang ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Free Surface ◽  
Surface Enhanced Raman Spectroscopy ◽  
Label Free ◽  
Single Base ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

scholarly journals Extracellular Vesicle Identification Using Label-Free Surface-Enhanced Raman Spectroscopy: Detection and Signal Analysis Strategies

Molecules ◽  
2020 ◽  
Vol 25 (21) ◽  
pp. 5209
Author(s):  
Hyunku Shin ◽  
Dongkwon Seo ◽  
Yeonho Choi
Keyword(s):  
Raman Spectroscopy ◽  
Free Surface ◽  
Signal Analysis ◽  
Surface Enhanced Raman Spectroscopy ◽  
Pattern Identification ◽  
Plasmonic Nanostructures ◽  
Label Free ◽  
Surface Enhanced ◽  
Analysis Strategies ◽  
Surface Enhanced Raman

Extracellular vesicles (EVs) have been widely investigated as promising biomarkers for the liquid biopsy of diseases, owing to their countless roles in biological systems. Furthermore, with the notable progress of exosome research, the use of label-free surface-enhanced Raman spectroscopy (SERS) to identify and distinguish disease-related EVs has emerged. Even in the absence of specific markers for disease-related EVs, label-free SERS enables the identification of unique patterns of disease-related EVs through their molecular fingerprints. In this review, we describe label-free SERS approaches for disease-related EV pattern identification in terms of substrate design and signal analysis strategies. We first describe the general characteristics of EVs and their SERS signals. We then present recent works on applied plasmonic nanostructures to sensitively detect EVs and notable methods to interpret complex spectral data. This review also discusses current challenges and future prospects of label-free SERS-based disease-related EV pattern identification.

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