This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Open AccessArticle
A Study on the Electric Field Degradation of Common Pollutant Gases in Archive Rooms Based on Density Functional Theory
by
Kuang Ao
Kuang Ao 1,2 and
Yuzhu Liu
Yuzhu Liu 2,*
1
Archives, Nanjing University of Information Science and Technology, Nanjing 210044, China
2
State Key Laboratory Cultivation Base of Atmospheric Optoelectronic Detection and Information Fusion, Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Jiangsu Engineering Research Center for Intelligent Optoelectronic Sensing Technology of Atmosphere, Nanjing University of Information Science and Technology, Nanjing 210044, China
*
Author to whom correspondence should be addressed.
Atmosphere 2026, 17(7), 626; https://doi.org/10.3390/atmos17070626 (registering DOI)
Submission received: 11 May 2026
/
Revised: 17 June 2026
/
Accepted: 22 June 2026
/
Published: 23 June 2026
Abstract
According to the “Technical Specification for Air Quality Testing in Archives Repositories,” air pollutants in archives can be categorized into exogenous and endogenous pollutants. Common exogenous pollutants include sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and hydrogen sulfide (H2S), while endogenous pollutants mainly consist of formaldehyde (HCHO) and acetic acid (CH3COOH). This study combines external electric field technology with density functional theory (DFT) and the B3LYP method to theoretically analyze the spectral characteristics and degradation mechanisms of these six pollutant gases. Molecular models of the six gases were constructed using Gaussian software. The configurations of five pollutant gas molecules (SO2, NO2, O3, H2S, and HCHO) were optimized using the B3LYP/6-31G(d) basis set, while the configuration of acetic acid was optimized using the B3LYP/3-21G basis set, yielding their stable structures and spectral information. The study found that characteristic peaks in the spectra shifted under the influence of an electric field. Additionally, by scanning the potential energy surfaces of selected molecular bonds under varying electric field strengths along specific directions, the required external electric field strengths for the degradation of the six common pollutant gases in archives were determined as follows: 0.1050 a.u. for SO2, 0.0975 a.u. for NO2, 0.0925 a.u. for O3, 0.1000 a.u. for H2S, 0.1500 a.u. for HCHO, and 0.0705 a.u. for CH3COOH. The results clarify the degradation thresholds of these six pollutant gases under an external electric field. The findings indicate that acetic acid (0.0705 a.u.) and ozone (0.0925 a.u.) are highly sensitive to electric fields, while formaldehyde requires the strongest electric field (0.1500 a.u.) for degradation. These results provide a reference and theoretical foundation for electric field-assisted degradation technology targeting pollutant gases in archives.
Share and Cite
MDPI and ACS Style
Ao, K.; Liu, Y.
A Study on the Electric Field Degradation of Common Pollutant Gases in Archive Rooms Based on Density Functional Theory. Atmosphere 2026, 17, 626.
https://doi.org/10.3390/atmos17070626
AMA Style
Ao K, Liu Y.
A Study on the Electric Field Degradation of Common Pollutant Gases in Archive Rooms Based on Density Functional Theory. Atmosphere. 2026; 17(7):626.
https://doi.org/10.3390/atmos17070626
Chicago/Turabian Style
Ao, Kuang, and Yuzhu Liu.
2026. "A Study on the Electric Field Degradation of Common Pollutant Gases in Archive Rooms Based on Density Functional Theory" Atmosphere 17, no. 7: 626.
https://doi.org/10.3390/atmos17070626
APA Style
Ao, K., & Liu, Y.
(2026). A Study on the Electric Field Degradation of Common Pollutant Gases in Archive Rooms Based on Density Functional Theory. Atmosphere, 17(7), 626.
https://doi.org/10.3390/atmos17070626
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details
here.
Article Metrics
Article Access Statistics
For more information on the journal statistics, click
here.
Multiple requests from the same IP address are counted as one view.