scholarly journals Inhibiting Analyte Theft in Surface-Enhanced Raman Spectroscopy Substrates: Subnanomolar Quantitative Drug Detection

ACS Sensors ◽  
2019 ◽  
Vol 4 (11) ◽  
pp. 2988-2996 ◽  
Author(s):  
Bart de Nijs ◽  
Cloudy Carnegie ◽  
István Szabó ◽  
David-Benjamin Grys ◽  
Rohit Chikkaraddy ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Surface Enhanced Raman Spectroscopy ◽  
Drug Detection ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

scholarly journals Progress of the applications of surface-enhanced Raman spectroscopy in illicit drug detection

2020 ◽  
Vol 51 (3) ◽  
pp. 294-309
Author(s):  
Ronglu Dong ◽  
Shaofei Li ◽  
Dongyue Lin ◽  
Hui Chen ◽  
Liangbao Yang
Keyword(s):  
Raman Spectroscopy ◽  
Illicit Drug ◽  
Surface Enhanced Raman Spectroscopy ◽  
Drug Detection ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Branched gold nanoparticles on ZnO 3D architecture as biomedical SERS sensors

RSC Advances ◽  
2015 ◽  
Vol 5 (113) ◽  
pp. 93644-93651 ◽  
Author(s):  
S. Picciolini ◽  
N. Castagnetti ◽  
R. Vanna ◽  
D. Mehn ◽  
M. Bedoni ◽  
...  
Keyword(s):  
Gold Nanoparticles ◽  
Raman Spectroscopy ◽  
Cancer Cells ◽  
Biomedical Application ◽  
Surface Enhanced Raman Spectroscopy ◽  
Drug Detection ◽  
3D Surface ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
3D Architecture

We present a new 3D surface-enhanced Raman spectroscopy substrate made of branched gold nanoparticles supported on ZnO tetrapods that was proved to be effective in different biomedical application such as drug detection and cancer cells analysis.

scholarly journals Novel Surface-Enhanced Raman Spectroscopy Techniques for DNA, Protein and Drug Detection

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1712 ◽  
Author(s):  
Chuanpin Chen ◽  
Wenfang Liu ◽  
Sanping Tian ◽  
Tingting Hong
Keyword(s):  
Raman Spectroscopy ◽  
Surface Enhanced Raman Spectroscopy ◽  
Spectroscopic Technique ◽  
Machine Learning Techniques ◽  
Drug Detection ◽  
Learning Techniques ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Sers Detection ◽  
Scattering Signal

Surface-enhanced Raman spectroscopy (SERS) is a vibrational spectroscopic technique in which the Raman scattering signal strength of molecules, absorbed by rough metals or the surface of nanoparticles, experiences an exponential growth (103–106 times and even 1014–1015 times) because of electromagnetic or chemical enhancements. Nowadays, SERS has attracted tremendous attention in the field of analytical chemistry due to its specific advantages, including high selectivity, rich informative spectral properties, nondestructive testing, and the prominent multiplexing capabilities of Raman spectroscopy. In this review, we present the applications of state-of-the-art SERS for the detection of DNA, proteins and drugs. Moreover, we focus on highlighting the merits and mechanisms of achieving enhanced SERS signals for food safety and clinical treatment. The machine learning techniques, combined with SERS detection, are also indicated herein. This review concludes with recommendations for future studies on the development of SERS.

Optimization of Surface-Enhanced Raman Spectroscopy Conditions for Implementation into a Microfluidic Device for Drug Detection

2016 ◽  
Vol 88 (21) ◽  
pp. 10513-10522 ◽  
Author(s):  
Neal D. Kline ◽  
Ashish Tripathi ◽  
Rustin Mirsafavi ◽  
Ian Pardoe ◽  
Martin Moskovits ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Microfluidic Device ◽  
Surface Enhanced Raman Spectroscopy ◽  
Drug Detection ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Bacterial detection and differentiation via direct volatile organic compound sensing with surface enhanced Raman spectroscopy

2017 ◽  
Author(s):  
Caitlin S. DeJong ◽  
David I. Wang ◽  
Aleksandr Polyakov ◽  
Anita Rogacs ◽  
Steven J. Simske ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Bacterial Infections ◽  
Direct Detection ◽  
Point Of Care ◽  
Surface Enhanced Raman Spectroscopy ◽  
E Coli ◽  
Recent Emergence ◽  
Surface Enhanced ◽  
Volatile Organic ◽  
Surface Enhanced Raman

Through the direct detection of bacterial volatile organic compounds (VOCs), via surface enhanced Raman spectroscopy (SERS), we report here a reconfigurable assay for the identification and monitoring of bacteria. We demonstrate differentiation between highly clinically relevant organisms: <i>Escherichia coli</i>, <i>Enterobacter cloacae</i>, and <i>Serratia marcescens</i>. This is the first differentiation of bacteria via SERS of bacterial VOC signatures. The assay also detected as few as 10 CFU/ml of <i>E. coli</i> in under 12 hrs, and detected <i>E. coli</i> from whole human blood and human urine in 16 hrs at clinically relevant concentrations of 10<sup>3</sup> CFU/ml and 10<sup>4</sup> CFU/ml, respectively. In addition, the recent emergence of portable Raman spectrometers uniquely allows SERS to bring VOC detection to point-of-care settings for diagnosing bacterial infections.

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