A silver/graphene oxide nanocomposite film as a flexible SERS substrate for reliable quantitative analysis using high-speed spiral scanning spectrometry

2017 ◽  
Vol 53 (73) ◽  
pp. 10108-10111 ◽  
Author(s):  
Yejung Choi ◽  
Si Won Song ◽  
Wytse Hooch Antink ◽  
Hyung Min Kim ◽  
Yuanzhe Piao
Keyword(s):  
Graphene Oxide ◽  
Quantitative Analysis ◽  
Nanocomposite Film ◽  
High Speed ◽  
Scanning System ◽  
Adhesive Tape ◽  
Sers Substrate ◽  
Spiral Scanning ◽  
System P

Excellent uniformity (∼1.5% RSD) in SERS signals was obtained from an Ag/GO decorated adhesive tape on a simple in-house cylindrical scanning system.

A novel sensitive and stable surface enhanced Raman scattering substrate based on a MoS2 quantum dot/reduced graphene oxide hybrid system

2018 ◽  
Vol 6 (46) ◽  
pp. 12547-12554 ◽  
Author(s):  
Di Wu ◽  
Jianli Chen ◽  
Yaner Ruan ◽  
Kai Sun ◽  
Kehua Zhang ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Molecular Detection ◽  
Sers Substrate ◽  
Stable Surface ◽  
System P ◽  
Reduced Graphene ◽  
Highly Sensitive ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

A MoS2 QD/rGO nanocomposite is synthesized as a novel highly sensitive and stable surface SERS substrate for dye molecular detection.

An automatic high-speed scanner for moiré fringe techniques

1972 ◽  
Vol 7 (2) ◽  
pp. 151-156 ◽  
Author(s):  
D J Hitchings ◽  
A R Luxmoore
Keyword(s):  
High Speed ◽  
Peak Detection ◽  
Optical Signal ◽  
Single Line ◽  
Scanning System ◽  
Moiré Fringes ◽  
Moire Fringe ◽  
Scanning Line ◽  
Moiré Fringe

A high-speed scanning system has been developed to locate the centres of moiré fringes along any single line. The system comprises a rotating-mirror scanner for conversion of an optical signal to electrical; this conversion is followed by peak detection, storage, and print-out electronics. Up to 20 fringes can be scanned in 1 ms. The results are printed in terms of fringe separations along the scanning line.

scholarly journals A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis

2021 ◽  
pp. 1-15
Author(s):  
Andreas M. Kist ◽  
Pablo Gómez ◽  
Denis Dubrovskiy ◽  
Patrick Schlegel ◽  
Melda Kunduk ◽  
...  
Keyword(s):  
Neural Networks ◽  
Quantitative Analysis ◽  
High Speed ◽  
Voice Disorders ◽  
Vocal Folds ◽  
Video Data ◽  
Audio Data ◽  
Fully Automatic ◽  
Video And Audio

Purpose High-speed videoendoscopy (HSV) is an emerging, but barely used, endoscopy technique in the clinic to assess and diagnose voice disorders because of the lack of dedicated software to analyze the data. HSV allows to quantify the vocal fold oscillations by segmenting the glottal area. This challenging task has been tackled by various studies; however, the proposed approaches are mostly limited and not suitable for daily clinical routine. Method We developed a user-friendly software in C# that allows the editing, motion correction, segmentation, and quantitative analysis of HSV data. We further provide pretrained deep neural networks for fully automatic glottis segmentation. Results We freely provide our software Glottis Analysis Tools (GAT). Using GAT, we provide a general threshold-based region growing platform that enables the user to analyze data from various sources, such as in vivo recordings, ex vivo recordings, and high-speed footage of artificial vocal folds. Additionally, especially for in vivo recordings, we provide three robust neural networks at various speed and quality settings to allow a fully automatic glottis segmentation needed for application by untrained personnel. GAT further evaluates video and audio data in parallel and is able to extract various features from the video data, among others the glottal area waveform, that is, the changing glottal area over time. In total, GAT provides 79 unique quantitative analysis parameters for video- and audio-based signals. Many of these parameters have already been shown to reflect voice disorders, highlighting the clinical importance and usefulness of the GAT software. Conclusion GAT is a unique tool to process HSV and audio data to determine quantitative, clinically relevant parameters for research, diagnosis, and treatment of laryngeal disorders. Supplemental Material https://doi.org/10.23641/asha.14575533

Combination of a graphene SERS substrate and magnetic solid phase micro-extraction used for the rapid detection of trace illegal additives

The Analyst ◽  
2018 ◽  
Vol 143 (4) ◽  
pp. 883-890 ◽  
Author(s):  
Shihua Yu ◽  
Zhigang Liu ◽  
Hongwei Li ◽  
Jianpo Zhang ◽  
Xin-xin Yuan ◽  
...  
Keyword(s):  
Solid Phase ◽  
Structural Information ◽  
Sample Pretreatment ◽  
Sers Substrate ◽  
Solid Phase Micro Extraction ◽  
System P ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering ◽  
Magnetic Solid

Surface enhanced Raman scattering (SERS) is an ultra-sensitive spectroscopy technique, which can provide rich structural information for a great number of molecules, while solid phase micro-extraction (SPME) is an efficient method for sample pretreatment in analytical chemistry, particularly in a micro-system.

SERS quantitative analysis of trace ferritin based on immunoreaction regulation of graphene oxide catalytic nanogold reaction

2018 ◽  
Vol 263 ◽  
pp. 183-189 ◽  
Author(s):  
Chongning Li ◽  
Yuyao Liu ◽  
Aihui Liang ◽  
Zhiliang Jiang
Keyword(s):  
Graphene Oxide ◽  
Quantitative Analysis
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