Influence of relative humidity on heterogeneous kinetics of NO2 on kaolin and hematite

Literature Information

Publication Date 2015-06-12
DOI 10.1039/C5CP02223A
Impact Factor 3.676
Authors

Yongchun Liu, Chong Han, Jinzhu Ma, Xiaolei Bao, Hong He


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Abstract

In order to obtain reliable kinetic parameters, it is required to measure the reaction kinetics of important heterogeneous reactions at ambient relative humidity (RH). In this study, the uptake coefficients and HONO yields for the heterogeneous reaction of NO2 on kaolin and hematite were measured at RH from 7% to 74% and at ambient pressure in the dark using a coated-wall flow tube reactor. The initial true uptake coefficient (γt,ini) of NO2 at RH 7% was measured to be (1.44 ± 0.10) × 10−7 and (1.58 ± 0.13) × 10−6 on kaolin and hematite, respectively, while it decreased notably on both minerals, accompanied by an increase of HONO yields, as RH increased. The average γt,ini at 32–74% RH was (4.42 ± 1.17) × 10−8 and (2.83 ± 0.84) × 10−7 on kaolin and hematite, respectively. The corresponding mean HONO yield was (36.0 ± 16.1)% and (75.9 ± 3.32)%, respectively.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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