Quantitative Detection of Uric Acid by Electrochemical-Surface Enhanced Raman Spectroscopy Using a Multilayered Au/Ag Substrate

2014 ◽  
Vol 87 (1) ◽  
pp. 441-447 ◽  
Author(s):  
Lili Zhao ◽  
Jonathan Blackburn ◽  
Christa L. Brosseau
Keyword(s):  
Raman Spectroscopy ◽  
Uric Acid ◽  
Surface Enhanced Raman Spectroscopy ◽  
Quantitative Detection ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Ag Substrate

Multivariate Analysis Aided Surface-Enhanced Raman Spectroscopy (MVA-SERS) Multiplex Quantitative Detection of Trace Fentanyl in Illicit Drug Mixtures Using a Handheld Raman Spectrometer

2021 ◽  
pp. 000370282110329
Author(s):  
Ling Wang ◽  
Mario O. Vendrell-Dones ◽  
Chiara Deriu ◽  
Sevde Doğruer ◽  
Peter de B. Harrington ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Principal Component ◽  
Surface Enhanced Raman Spectroscopy ◽  
Quantitative Detection ◽  
Least Squares Regression ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Sers Detection ◽  
Current Screening

Recently there has been upsurge in reports that illicit seizures of cocaine and heroin have been adulterated with fentanyl. Surface-enhanced Raman spectroscopy (SERS) provides a useful alternative to current screening procedures that permits detection of trace levels of fentanyl in mixtures. Samples are solubilized and allowed to interact with aggregated colloidal nanostars to produce a rapid and sensitive assay. In this study, we present the quantitative determination of fentanyl in heroin and cocaine using SERS, using a point-and-shoot handheld Raman system. Our protocol is optimized to detect pure fentanyl down to 0.20 ± 0.06 ng/mL and can also distinguish pure cocaine and heroin at ng/mL levels. Multiplex analysis of mixtures is enabled by combining SERS detection with principal component analysis and super partial least squares regression discriminate analysis (SPLS-DA), which allow for the determination of fentanyl as low as 0.05% in simulated seized heroin and 0.10% in simulated seized cocaine samples.

Electrostatic-driven solid phase microextraction coupled with surface enhanced Raman spectroscopy for rapid analysis of pentachlorophenol

2017 ◽  
Vol 9 (3) ◽  
pp. 459-464 ◽  
Author(s):  
Weiwei Bian ◽  
Sha Zhu ◽  
Mingying Qi ◽  
Lanlan Xiao ◽  
Zhen Liu ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Surface Charge ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Surface Enhanced Raman Spectroscopy ◽  
Rapid Analysis ◽  
Positive Surface Charge ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Ag Substrate

Rapid analysis of pentachlorophenol by electrostatic-driven SPME–SERS on a nanoporous Ag substrate with positive surface charge.

scholarly journals Dual-triggered nanoaggregates of cucurbit[7]uril and gold nanoparticles for multi-spectroscopic quantification of creatinine in urinalysis

2020 ◽  
Vol 8 (21) ◽  
pp. 7051-7058
Author(s):  
Weng-I Katherine Chio ◽  
Suresh Moorthy ◽  
Jayakumar Perumal ◽  
Dinish U. S. ◽  
Ivan P. Parkin ◽  
...  
Keyword(s):  
Gold Nanoparticles ◽  
Raman Spectroscopy ◽  
Surface Enhanced Raman Spectroscopy ◽  
Quantitative Detection ◽  
Vis Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

A novel nanosensing platform was developed for the quantitative detection of creatinine of clinically relevant concentrations via UV-Vis spectroscopy and surface-enhanced Raman spectroscopy.

Fabrication of sensitive silver-decorated cotton swabs for SERS quantitative detection of mixed pesticide residues in bitter gourds

2020 ◽  
Vol 44 (29) ◽  
pp. 12779-12784
Author(s):  
Lili Kong ◽  
Meizhen Huang ◽  
Jie Chen ◽  
Mengshi Lin
Keyword(s):  
Raman Spectroscopy ◽  
Pesticide Residues ◽  
Rapid Detection ◽  
Environmentally Friendly ◽  
Surface Enhanced Raman Spectroscopy ◽  
Quantitative Detection ◽  
Fabrication Method ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

This study developed a simple, efficient and environmentally friendly fabrication method for surface-enhanced Raman spectroscopy (SERS) wipers for the rapid detection of individual and mixed pesticide residues in actual samples.

Sign in / Sign up

Export Citation Format

Share Document