文献类型：期刊文献

英文题名：Microfluidics-based determination of diffusion coefficient for gas-liquid reaction system with hydrogen peroxide

作者：Qiu, Junjie[1,2];Bao, Bo[1,2];Zhao, Shuangliang[1,2,3,4];Lu, Xiaohua[5]

机构：[1]East China Univ Sci & Technol, State Key Lab Chem Engn, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Sch Chem Engn, Shanghai 200237, Peoples R China;[3]Guangxi Univ, Guangxi Key Lab Petrochem Resource Proc & Proc In, Nanning 530004, Peoples R China;[4]Guangxi Univ, Sch Chem & Chem Engn, Nanning 530004, Peoples R China;[5]Nanjing Tech Univ, State Key Lab Mat Oriented Chem Engn, Coll Chem Engn, Nanjing 210009, Peoples R China

年份：2021

卷号：231

外文期刊名：CHEMICAL ENGINEERING SCIENCE

收录：;EI(收录号：20204609483157);WOS:【SCI-EXPANDED(收录号:WOS:000609490200011)】；

基金：We gratefully acknowledge the generous support from National Natural Science Foundation of China (Nos. 21808056 and 91934302) and PetroChina Innovation Foundation (2019D-5007-0208).

语种：英文

外文关键词：Microfluidics; Gas-liquid system; Diffusion coefficient; Denitration; Hydrogen peroxide

摘要：In this work, we present a fluorescence-based microfluidic approach to study the transport characteristics in gas-liquid reaction system with hydrogen peroxide (H2O2). A system of nitrogen dioxide (NO2) and H2O2 was served as model to determinate diffusion coefficient of NO2. The diffusion coefficient was quantified through fading of fluorescent signals by increase of pH during the diffusion process. The diffusion coefficients were served as parameters to fit for a diffusion transport model as a function of time and determined to be 8.55 x 10(-9) m(2)/s on average. The thickness of liquid film according to two film theory was obtained as a reasonable value of 180 mu m given by the optimal fitting performance. The experimental operation for measurement of diffusion coefficient took only about 3 min. This paper provides an in situ, time-efficient, sample-saving and non-invasive approach to investigate microscale transport characteristics of gas-liquid systems. (C) 2020 Elsevier Ltd. All rights reserved.