Ultrasonic real-time monitoring of the process of decomposition of hydrogen peroxide in aqueous solutions

2016 ◽  
Vol 8 (24) ◽  
pp. 4828-4834 ◽  
Author(s):  
Yuelong Li ◽  
Vitaly Buckin
Keyword(s):  
Hydrogen Peroxide ◽  
Aqueous Solutions ◽  
Real Time ◽  
Metal Surfaces ◽  
Ultrasonic Monitoring ◽  
Real Time Monitoring

Ultrasonic monitoring of decomposition of hydrogen peroxide catalyzed by metal surfaces.

scholarly journals Hydrogen Peroxide-Based Fluorometric Assay for Real-Time Monitoring of SAM-Dependent Methyltransferases

2018 ◽  
Vol 6 ◽  
Author(s):  
M. Kalim Akhtar ◽  
Dhanya Vijay ◽  
Saima Umbreen ◽  
Chris J. McLean ◽  
Yizhi Cai ◽  
...  
Keyword(s):  
Hydrogen Peroxide ◽  
Real Time ◽  
Fluorometric Assay ◽  
Real Time Monitoring

scholarly journals Real-time monitoring of hydrogen peroxide vapour decontamination of bacterial spores by means of UV fluorimetry

2021 ◽  
Vol 70 (1) ◽  
pp. 51
Author(s):  
S Babichenko ◽  
H Hakkarainen ◽  
M Kirm ◽  
L Poryvkina ◽  
O Rebane ◽  
...  
Keyword(s):  
Hydrogen Peroxide ◽  
Real Time ◽  
Bacterial Spores ◽  
Real Time Monitoring

Real time monitoring of in situ generated hydrogen peroxide in electrochemical advanced oxidation reactors using an integrated Pt microelectrode

Talanta ◽  
2020 ◽  
Vol 218 ◽  
pp. 121133
Author(s):  
Jorge Leandro Aquino de Queiroz ◽  
Carlos Alberto Martínez-Huitle ◽  
Pollyana Souza Castro
Keyword(s):  
Hydrogen Peroxide ◽  
Real Time ◽  
Advanced Oxidation ◽  
Real Time Monitoring

scholarly journals A near-infrared fluorescent probe for evaluating endogenous hydrogen peroxide during ischemia/reperfusion injury

The Analyst ◽  
2019 ◽  
Vol 144 (8) ◽  
pp. 2556-2564 ◽  
Author(s):  
Runfeng Xu ◽  
Yue Wang ◽  
Huiyan You ◽  
Liangwei Zhang ◽  
Yunqing Wang ◽  
...  
Keyword(s):  
Hydrogen Peroxide ◽  
Reperfusion Injury ◽  
Real Time ◽  
Fluorescent Probe ◽  
Near Infrared ◽  
Ischemia Reperfusion Injury ◽  
Ischemia Reperfusion ◽  
Real Time Monitoring ◽  
In Cells

A fluorescent probe, Cy-ArB, is developed for real-time monitoring of H2O2 fluctuations in cells and in vivo during ischemia/reperfusion processes.

scholarly journals Machine Learning Framework for the Detection of Anomalies in Aqueous Solutions Using Terahertz Waves

2021 ◽  
Author(s):  
ADNAN ZAHID ◽  
Kia Dashtipour ◽  
Ivonne E. Carranza1 ◽  
Hasan Abbas ◽  
Aifeng Ren ◽  
...  
Keyword(s):  
Machine Learning ◽  
Aqueous Solutions ◽  
Real Time ◽  
Absorption Spectra ◽  
Detection System ◽  
Cost Effective ◽  
Support Vector ◽  
Real Time Monitoring ◽  
Molecular Configuration ◽  
Thz Waves

Abstract Water is considered to be the most essential and vital resources to sustaining life. Ensuring its delivery to people with no intrusion of harmful impurities, safe, reliable, and in an affordable manner is one of huge challenge amid to the ongoing climate transformations. This demands to introduce a cost effective and notion of real-time monitoring system that can detect the microbiological contaminants in aqueous solutions in timely manner to protect the public and environment health. In this paper, the prospects of integrating non-invasive terahertz (THz) waves with machine learning (ML) enabled technique is studied. The research explores a method of using Fourier transform Infrared Spectroscopy (FTIR) system to observe the absorption spectra and characteristics of three solvents solution , including salt, sugar and glucose with various quantity in aqueous solutions in the frequency range of 1 THz to 20 THz. In this study, due to the different molecular configuration and vibration modes of substances, distinct absorption spectra peaks were achieved for different concentrations of solvent solutions at certain sensitive THz region. Moreover, using measurements observations data, meaningful features are extracted and incorporated four algorithms such as random forest (RF), support vector machine (SVM), decision tree (D-tree) and k-nearest neighbour (KNN). The results demonstrated that RF obtained a higher accuracy of 84.74% in identifying the substance in aqueous solutions. Moreover, it was also found that RF with 97.98%, outperformed other classifiers for estimation of salts concentration added in aqueous solutions. However, for sugar and glucose concentrations, SVM exhibited a higher accuracy of 93.11% and 96.88%, respectively, compared to other classifiers. Thus, proposed technique incorporating ML with THz waves, may be significant in providing an efficient, cost-effective and real-time monitoring for water quality detection system.

Real-time monitoring of etoposide prodrug activated by hydrogen peroxide with improved safety

2019 ◽  
Vol 7 (47) ◽  
pp. 7548-7557 ◽  
Author(s):  
Jiawen Zhu ◽  
Jingting Chen ◽  
Dongmei Song ◽  
Wenda Zhang ◽  
Jianpeng Guo ◽  
...  
Keyword(s):  
Hydrogen Peroxide ◽  
Cancer Cells ◽  
Real Time ◽  
Real Time Monitoring

A novel H2O2 sensitive prodrug designed for selectively releasing etoposide in cancer cells with fluorescence monitoring and improved safety.

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