The Prospects of the in situ and ex situ Use of Aqueous Solutions of Hydrogen Peroxide Electrogenerated from Oxygen

Kornienko, V. L.; Kolyagin, G. A.; Kornienko, G. V.; Кенова, Т. А.

doi:10.1134/s1023193520050067

Cited by 8 publications

(9 citation statements)

References 59 publications

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“…Therefore, the concept of mobile computers and mobile databases was born, which became the new research direction of the international database community. Due to the characteristics and characteristics of the mobile computer environment, the distributed database and C/S (client/server) database in the database field cannot effectively support the mobile computer environment [16,17]. To fully support portability, the computer needs to be improved or redesigned and upgraded to a new mobile database.…”

Section: Prediction Methods Of Mineralizationmentioning

confidence: 99%

Prediction of Mineralization Prospects Based on Geological Semantic Model and Mobile Computer Machine Learning

Zhao

Zhang

et al. 2021

Wireless Communications and Mobile Computing

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Mineral resources are indispensable in the development of human society and are the foundation of national economic development. As the prospecting target shifts from outcrop ore to concealed ore, from shallow to deep, the difficulty of prospecting becomes more and more difficult. Therefore, the prediction of mineralization prospects is of great significance. This paper is aimed at completing the prediction of mineralization prospects by constructing geological semantic models and using mobile computer learning to improve the accuracy of prediction of mineralization prospects and expanding the application of semantic mobile computing. We use five different semantic relations to build a semantic knowledge library, realize semantic retrieval, complete information extraction of geological text data, and study mineral profiles. Through the distributed database of mobile computing, the association rules and random forest algorithm are used to describe the characteristics of minerals and the ore-controlling elements, find the association rules, and finally combine the geological and mineral data of the area and use the random forest algorithm to realize the prospect of mineralization district forecast. The geological semantic model constructed in the article uses the knowledge library for associative search to achieve an accuracy rate of 87.9% and a recall rate of 96.5%. The retrieval effect is much higher than that of traditional keyword retrieval methods. The maximum value of the posterior result of the mineralization prospect is 0.9027, the average value is 0.0421, and the standard deviation is 0.1069. The picture is brighter, and the probability of mineralization is higher.

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Section: Prediction Methods Of Mineralizationmentioning

confidence: 99%

Prediction of Mineralization Prospects Based on Geological Semantic Model and Mobile Computer Machine Learning

Zhao

Zhang

et al. 2021

Wireless Communications and Mobile Computing

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“…[60,61] More complex designs could feed H2O2 into a secondary reactor, where oxidation to value-added products would take place. [62] This would be suitable for systems where the oxidation target would interfere with H2O2 electrosynthesis.…”

Section: Latest Developments For H 2 O 2 Electrosynthesismentioning

confidence: 99%

Future perspectives for the advancement of electrochemical hydrogen peroxide production

Perry

Mavrikis

Wang

et al. 2021

Current Opinion in Electrochemistry

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H2O2 is an important chemical with multiple uses across domestic and industrial settings. A global need for wider adoption of green synthetic methods, there has been a growing interest in the electrochemical synthesis of H2O2 from oxygen reduction or water oxidation. State of the art catalyst and reactor developments are beginning to advance to a stage where electrochemical synthesis is discussed as a viable alternative to current industrial methods. In this review, we highlight some of the most promising candidates for H2O2 electrosynthesis technologies, and what further advancements are needed before the electrochemical route could challenge the ubiquitous anthraquinone process.

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“…Analogously, another appealing concept is to integrate the electrocatalytic synthesis of H 2 O 2 (via two‐electron O 2 reduction or water oxidation) in tandem with selective oxidation reactions to produce value‐added organic and inorganic chemicals [43, 149–154] . This in situ utilization route presents an ideal vision for the application of H 2 O 2 electrosynthesis without separation, concentration, and transport.…”

Section: Tandem Electrocatalytic Reactionsmentioning

confidence: 99%

“…Besides, a high concentration of H 2 O 2 can be facilely obtained at the local electrode surface to drive the oxidation process, which would be more difficult and dangerous to achieve in the bulk phase [43] . To date, several reactions have been performed with this system, such as epoxidation of propylene to propylene oxide, [155] oxidation of acetic acid to peroxyacetic acid (R‐17 in Figure 7 d), [156] and oxidation of formaldehyde to formic acid [152] . More systematic study and in‐depth understanding of the complex reaction mechanisms is needed to efficiently promote the selective oxidation in tandem processes.…”

Section: Tandem Electrocatalytic Reactionsmentioning

confidence: 99%

Electrocatalytic Refinery for Sustainable Production of Fuels and Chemicals

et al. 2021

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Compared to modern fossil‐fuel‐based refineries, the emerging electrocatalytic refinery (e‐refinery) is a more sustainable and environmentally benign strategy to convert renewable feedstocks and energy sources into transportable fuels and value‐added chemicals. A crucial step in conducting e‐refinery processes is the development of appropriate reactions and optimal electrocatalysts for efficient cleavage and formation of chemical bonds. However, compared to well‐studied primary reactions (e.g., O2 reduction, water splitting), the mechanistic aspects and materials design for emerging complex reactions are yet to be settled. To address this challenge, herein, we first present fundamentals of heterogeneous electrocatalysis and some primary reactions, and then implement these to establish the framework of e‐refinery by coupling in situ generated intermediates (integrated reactions) or products (tandem reactions). We also present a set of materials design principles and strategies to efficiently manipulate the reaction intermediates and pathways.

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The Prospects of the in situ and ex situ Use of Aqueous Solutions of Hydrogen Peroxide Electrogenerated from Oxygen

Cited by 8 publications

References 59 publications

Prediction of Mineralization Prospects Based on Geological Semantic Model and Mobile Computer Machine Learning

Prediction of Mineralization Prospects Based on Geological Semantic Model and Mobile Computer Machine Learning

Future perspectives for the advancement of electrochemical hydrogen peroxide production

Electrocatalytic Refinery for Sustainable Production of Fuels and Chemicals

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