Diethyldithiocarbamate (DDTC) induced formation of positively charged silver nanoparticles for rapid in situ identification of inorganic explosives by surface enhanced Raman spectroscopy

RSC Advances ◽  
2016 ◽  
Vol 6 (57) ◽  
pp. 51823-51829 ◽  
Author(s):  
Juan Chen ◽  
Yu-e Shi ◽  
Min Zhang ◽  
Jinhua Zhan
Keyword(s):  
Raman Spectroscopy ◽  
Silver Nanoparticles ◽  
Surface Enhanced Raman Spectroscopy ◽  
Raman Spectrometer ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Positively Charged ◽  
Portable Raman

Diethyldithiocarbamate could induce the generation of positively charged silver nanoparticles for rapidin situdetection of the explosives with a portable Raman spectrometer.

Simple preparation of positively charged silver nanoparticles for detection of anions by surface-enhanced Raman spectroscopy

The Analyst ◽  
2015 ◽  
Vol 140 (9) ◽  
pp. 2988-2994 ◽  
Author(s):  
A. Stewart ◽  
S. Murray ◽  
S. E. J. Bell
Keyword(s):  
Raman Spectroscopy ◽  
Silver Nanoparticles ◽  
Zeta Potential ◽  
Surface Enhanced Raman Spectroscopy ◽  
Sers Substrates ◽  
Simple Preparation ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Positively Charged

Modification of Ag colloids with thiocholine bromide switches the zeta potential from ca. −50 mV to ca. +50 mV, giving SERS substrates which promote adsorption of anions.

scholarly journals Differentiation of different antifungals with various mechanisms using dynamic surface-enhanced Raman spectroscopy combined with machine learning

2021 ◽  
pp. 2141002
Author(s):  
Hao Li ◽  
Yongbing Cao ◽  
Feng Lu
Keyword(s):  
Machine Learning ◽  
Raman Spectroscopy ◽  
Principal Component ◽  
Surface Enhanced Raman Spectroscopy ◽  
New Drugs ◽  
Dynamic Surface ◽  
Raman Spectrometer ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Portable Raman

With the increase in mortality caused by pathogens worldwide and the subsequent serious drug resistance owing to the abuse of antibiotics, there is an urgent need to develop versatile analytical techniques to address this public issue. Vibrational spectroscopy, such as infrared (IR) or Raman spectroscopy, is a rapid, noninvasive, nondestructive, real-time, low-cost, and user-friendly technique that has recently gained considerable attention. In particular, surface-enhanced Raman spectroscopy (SERS) can provide a highly sensitive readout for bio-detection with ultralow or even trace content. Nevertheless, extra attachment cost, nonaqueous acquisition, and low reproducibility require the conventional SERS (C-SERS) to further optimize the conditions. The emergence of dynamic SERS (D-SERS) sheds light on C-SERS because of the dispensable substrate design, superior enhancement and stability of Raman signals, and solvent protection. The powerful sensitivity enables D-SERS to perform only with a portable Raman spectrometer with moderate spatial resolution and precision. Moreover, the assistance of machine learning methods, such as principal component analysis (PCA), further broadens its research depth through data mining of the information within the spectra. Therefore, in this study, D-SERS, a portable Raman spectrometer, and PCA were used to determine the phenotypic variations of fungal cells Candida albicans (C. albicans) under the influence of different antifungals with various mechanisms, and unknown antifungals were predicted using the established PCA model. We hope that the proposed technique will become a promising candidate for finding and screening new drugs in the future.

Sign in / Sign up

Export Citation Format

Share Document