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  1. Article ; Online: In-duct grating-like dielectric barrier discharge system for air disinfection.

    Zhang, Liyang / Guo, Yuntao / Chang, Xuanyu / Yao, Zenghui / Wei, Xiaodong / Feng, Zihao / Zhang, Dongheyu / Zhou, Qun / Wang, Xinxin / Luo, Haiyun

    Journal of hazardous materials

    2022  Volume 435, Page(s) 129075

    Abstract: In the context of spreading Coronavirus disease 2019 (COVID-19), the combination of heating, ventilation, and air-conditioning (HVAC) system with air disinfection device is an effective way to reduce transmissible infections. Atmospheric-pressure non- ... ...

    Abstract In the context of spreading Coronavirus disease 2019 (COVID-19), the combination of heating, ventilation, and air-conditioning (HVAC) system with air disinfection device is an effective way to reduce transmissible infections. Atmospheric-pressure non-equilibrium plasma is an emerging technique for fast pathogen aerosol abatement. In this work, in-duct disinfectors based on grating-like dielectric barrier discharge (DBD) plasmas with varied electrode arrangements were established and evaluated. The highest airborne bacterial inactivation efficiency was achieved by 'vertical' structure, namely when aerosol was in direct contact with the discharge region, at a given discharge power. For all reactors, the efficiency was linearly correlated to the discharge power (R
    MeSH term(s) Aerosols ; COVID-19/prevention & control ; Disinfection/methods ; Gases ; Humans ; Ventilation
    Chemical Substances Aerosols ; Gases
    Language English
    Publishing date 2022-05-06
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1491302-1
    ISSN 1873-3336 ; 0304-3894
    ISSN (online) 1873-3336
    ISSN 0304-3894
    DOI 10.1016/j.jhazmat.2022.129075
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: In-duct grating-like dielectric barrier discharge system for air disinfection

    Zhang, Liyang / Guo, Yuntao / Chang, Xuanyu / Yao, Zenghui / Wei, Xiaodong / Feng, Zihao / Zhang, Dongheyu / Zhou, Qun / Wang, Xinxin / Luo, Haiyun

    Journal of hazardous materials. 2022 Aug. 05, v. 435

    2022  

    Abstract: In the context of spreading Coronavirus disease 2019 (COVID-19), the combination of heating, ventilation, and air-conditioning (HVAC) system with air disinfection device is an effective way to reduce transmissible infections. Atmospheric-pressure non- ... ...

    Abstract In the context of spreading Coronavirus disease 2019 (COVID-19), the combination of heating, ventilation, and air-conditioning (HVAC) system with air disinfection device is an effective way to reduce transmissible infections. Atmospheric-pressure non-equilibrium plasma is an emerging technique for fast pathogen aerosol abatement. In this work, in-duct disinfectors based on grating-like dielectric barrier discharge (DBD) plasmas with varied electrode arrangements were established and evaluated. The highest airborne bacterial inactivation efficiency was achieved by ‘vertical’ structure, namely when aerosol was in direct contact with the discharge region, at a given discharge power. For all reactors, the efficiency was linearly correlated to the discharge power (R² =0.929–0.994). The effects of environmental factors were examined. Decreased airflow rates boosted the efficiency, which reached 99.8% at the velocity of 0.5 m/s with an aerosol residence time of ~3.6 ms. Increasing humidity (relative humidity (RH)=20–60%) contributed to inactivation efficacy, while high humidity (RH=70%−90%) led to a saturated efficiency, possibly due to the disruption of discharge uniformity. As suggested by the plasma effluent treatment and scavenger experiments, gaseous short-lived chemical species or charged particles were concluded as the major agents accounting for bacterial inactivation. This research provides new hints for air disinfection by DBD plasmas.
    Keywords COVID-19 infection ; aerosols ; air ; air flow ; atmospheric pressure ; chemical species ; direct contact ; disinfection ; electrodes ; heat ; humidity ; pathogens
    Language English
    Dates of publication 2022-0805
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1491302-1
    ISSN 1873-3336 ; 0304-3894
    ISSN (online) 1873-3336
    ISSN 0304-3894
    DOI 10.1016/j.jhazmat.2022.129075
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: The Agronomic Traits, Alkaloids Analysis, FT-IR and 2DCOS-IR Spectroscopy Identification of the Low-Nicotine-Content Nontransgenic Tobacco Edited by CRISPR-Cas9.

    Zhang, Jianduo / Zhou, Qun / Zhang, Dongheyu / Yang, Guangyu / Zhang, Chengming / Wu, Yuping / Xu, Yong / Chen, Jianhua / Kong, Weisong / Kong, Guanghui / Wang, Jin

    Molecules (Basel, Switzerland)

    2022  Volume 27, Issue 12

    Abstract: In this study, the agricultural traits, alkaloids content and Fourier transform infrared spectroscopy (FT-IR) and two-dimensional correlation infrared spectroscopy (2DCOS-IR) analysis of the tobacco after Berberine Bridge Enzyme-Like Proteins (BBLs) ... ...

    Abstract In this study, the agricultural traits, alkaloids content and Fourier transform infrared spectroscopy (FT-IR) and two-dimensional correlation infrared spectroscopy (2DCOS-IR) analysis of the tobacco after Berberine Bridge Enzyme-Like Proteins (BBLs) knockout were investigated. The knockout of BBLs has limited effect on tobacco agricultural traits. After the BBLs knockout, nicotine and most alkaloids are significantly reduced, but the content of myosmine and its derivatives increases dramatically. In order to identify the gene editing of tobacco, principal component analysis (PCA) was performed on the FT-IR and 2DCOS-IR spectroscopy data. The results showed that FT-IR can distinguish between tobacco roots and leaves but cannot classify the gene mutation tobacco from the wild one. 2DCOS-IR can enhance the characteristics of the samples due to the increased apparent resolution of the spectra. Using the autopeaks in the synchronous map for PCA analysis, we successfully identified the mutants with an accuracy of over 90%.
    MeSH term(s) CRISPR-Cas Systems/genetics ; Nicotine ; Spectrophotometry, Infrared ; Spectroscopy, Fourier Transform Infrared/methods ; Nicotiana/genetics
    Chemical Substances Nicotine (6M3C89ZY6R)
    Language English
    Publishing date 2022-06-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules27123817
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Fast Screening and Primary Diagnosis of COVID-19 by ATR-FT-IR.

    Zhang, Liyang / Xiao, Meng / Wang, Yao / Peng, Siqi / Chen, Yu / Zhang, Dong / Zhang, Dongheyu / Guo, Yuntao / Wang, Xinxin / Luo, Haiyun / Zhou, Qun / Xu, Yingchun

    Analytical chemistry

    2021  Volume 93, Issue 4, Page(s) 2191–2199

    Abstract: The outbreak of coronavirus disease 2019 (COVID-19) has led to substantial infections and mortality around the world. Fast screening and diagnosis are thus crucial for quick isolation and clinical intervention. In this work, we showed that attenuated ... ...

    Abstract The outbreak of coronavirus disease 2019 (COVID-19) has led to substantial infections and mortality around the world. Fast screening and diagnosis are thus crucial for quick isolation and clinical intervention. In this work, we showed that attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FT-IR) can be a primary diagnostic tool for COVID-19 as a supplement to in-use techniques. It requires only a small volume (∼3 μL) of the serum sample and a shorter detection time (several minutes). The distinct spectral differences and the separability between normal control and COVID-19 were investigated using multivariate and statistical analysis. Results showed that ATR-FT-IR coupled with partial least squares discriminant analysis was effective to differentiate COVID-19 from normal controls and some common respiratory viral infections or inflammation, with the area under the receiver operating characteristic curve (AUROC) of 0.9561 (95% CI: 0.9071-0.9774). Several serum constituents including, but not just, antibodies and serum phospholipids could be reflected on the infrared spectra, serving as "chemical fingerprints" and accounting for good model performances.
    MeSH term(s) COVID-19/diagnosis ; Case-Control Studies ; Diagnosis, Differential ; Discriminant Analysis ; Feasibility Studies ; Humans ; Spectroscopy, Fourier Transform Infrared/methods
    Language English
    Publishing date 2021-01-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.0c04049
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Integrated System for On-Site Rapid and Safe Screening of COVID-19.

    Zhang, Dongheyu / Guo, Yuntao / Zhang, Liyang / Wang, Yao / Peng, Siqi / Duan, Simeng / Geng, Lin / Zhang, Xiao / Wang, Wei / Yang, Mengjie / Wu, Guizhen / Chen, Jiayi / Feng, Zihao / Wang, Xinyuan / Wu, Yue / Jiang, Haotian / Zhang, Qikang / Sun, Jingjun / Li, Shenwei /
    He, Yuping / Xiao, Meng / Xu, Yingchun / Wang, Hongqiu / Liu, Peipei / Zhou, Qun / Luo, Haiyun

    Analytical chemistry

    2022  Volume 94, Issue 40, Page(s) 13810–13819

    Abstract: Since the outbreak of coronavirus disease 2019 (COVID-19), the epidemic has been spreading around the world for more than 2 years. Rapid, safe, and on-site detection methods of COVID-19 are in urgent demand for the control of the epidemic. Here, we ... ...

    Abstract Since the outbreak of coronavirus disease 2019 (COVID-19), the epidemic has been spreading around the world for more than 2 years. Rapid, safe, and on-site detection methods of COVID-19 are in urgent demand for the control of the epidemic. Here, we established an integrated system, which incorporates a machine-learning-based Fourier transform infrared spectroscopy technique for rapid COVID-19 screening and air-plasma-based disinfection modules to prevent potential secondary infections. A partial least-squares discrimination analysis and a convolutional neural network model were built using the collected infrared spectral dataset containing 857 training serum samples. Furthermore, the sensitivity, specificity, and prediction accuracy could all reach over 94% from the results of the field test regarding 968 blind testing samples. Additionally, the disinfection modules achieved an inactivation efficiency of 99.9% for surface and airborne tested bacteria. The proposed system is conducive and promising for point-of-care and on-site COVID-19 screening in the mass population.
    MeSH term(s) COVID-19/diagnosis ; Humans ; Least-Squares Analysis ; Neural Networks, Computer ; Spectroscopy, Fourier Transform Infrared/methods
    Language English
    Publishing date 2022-10-02
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.2c02337
    Database MEDical Literature Analysis and Retrieval System OnLINE

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