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1.
Anal Chem ; 94(40): 13810-13819, 2022 10 11.
Article in English | MEDLINE | ID: covidwho-2050235

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.


Subject(s)
COVID-19 , COVID-19/diagnosis , Humans , Least-Squares Analysis , Neural Networks, Computer , Spectroscopy, Fourier Transform Infrared/methods
2.
Applied Physics Letters ; 121(7):1-6, 2022.
Article in English | Academic Search Complete | ID: covidwho-2000995

ABSTRACT

COVID-19 is still pandemic in the world although it has lasted for more than two years, in situ real-time disinfection of curved surfaces in public places is extremely urgent. A flexible plasma film based on surface dielectric barrier discharge is proposed in this study. In situ disinfection effect and the influence of curvature on the performance are studied. The results showed that the film could in situ inactivate a variety of pathogens. Specifically, 10 min plasma treatment results in a log reduction of 3.10, 3.42, and 3.03 for Escherichia coli, Staphylococcus aureus, and vesicular stomatitis virus, respectively. The discharge power and disinfection effect of the film are independent of the curvature, which proves that it can be used for in situ disinfection of curved surfaces. It is speculated that the combined effects of a strong electric field and radical etching physical damage as well as the chemical damage of reactive oxygen and nitrogen species to the protein are the main reasons for the inactivation of pathogens. The inhibition of the film to Omicron type SARS-CoV-2 pseudovirus is 99.3%, and the killing rate to natural bacteria is 94.3%. The film can run for at least 10 h without significant reduction in disinfection effect. In addition, large-scale and digitalization increase the practical potential of a disinfection film. In conclusion, this film is expected to realize in situ real-time disinfection of curved surfaces such as the buttons of the elevator or instrument and door handles, which is of great significance in blocking the spread of COVID-19. [ FROM AUTHOR] Copyright of Applied Physics Letters is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

3.
J Hazard Mater ; 435: 129075, 2022 08 05.
Article in English | MEDLINE | ID: covidwho-1821354

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.


Subject(s)
COVID-19 , Disinfection , Aerosols , COVID-19/prevention & control , Disinfection/methods , Gases , Humans , Ventilation
4.
Microb Pathog ; 166: 105548, 2022 May.
Article in English | MEDLINE | ID: covidwho-1799780

ABSTRACT

Canine coronavirus (CCoV) is generally thought of as a mild, but highly contagious, enteritis of young dogs. This study was to investigate the molecular detection and characteristics of CCoV in Chengdu city, Southwest China. 218 canine fecal samples were collected from four animal hospitals and one animal shelter from 2020 to 2021. Fifty-nine CCoV-positive samples were detected by RT-PCR, including 40 CCoV-I, 25 CCoV-IIa, one CCoV-IIb and 10 untyped. To further analyze the genetic diversity of CCoV, we amplified ten complete spike (S) genes, including four CCoV-I and six CCoV-II strains. The amino acid sequence obtained in this study revealed 85.95% ± 12.55% homology with the reference strains. Moreover, in the N-terminal structural domain, there were two amino acid insertions (17QQ18) in two strains of CCoV-I and four amino acid insertions (95IGTN98) in CCoV-IIb strain. Interestingly, we identified that the S1/S2 cleavage site of the S protein of CCoV strains (SWU-SSX3 and SWU-SSX10) were consistent with feline coronavirus (FCoV). In the evolutionary tree, a strain of CCoV-I (SWU-SSX10) was found to be more closely related to FCoV, while SWU-SSX7 of CCoV-IIb was more closely related to coronavirus from the Chinese ferret badger. In addition, for the first time, recombination in a CCoV-IIb strain was found to occur between two subtypes occurring in the C domain of the S1 subunit, with a breakpoint starting at 2141 nt. The results enriched the epidemiological information of CCoV and provided an important reference for the prevention of CCoV in Chengdu city, Southwest China.


Subject(s)
Coronavirus, Canine , Dog Diseases , Amino Acids/genetics , Animals , Coronavirus, Canine/classification , Coronavirus, Canine/genetics , Dog Diseases/epidemiology , Dog Diseases/virology , Dogs , Phylogeny
5.
Anal Chem ; 93(4): 2191-2199, 2021 02 02.
Article in English | MEDLINE | ID: covidwho-1019731

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.


Subject(s)
COVID-19/diagnosis , Spectroscopy, Fourier Transform Infrared/methods , Case-Control Studies , Diagnosis, Differential , Discriminant Analysis , Feasibility Studies , Humans
6.
Acta Veterinaria et Zootechnica Sinica ; 51(1):109-119, 2020.
Article in Chinese | CAB Abstracts | ID: covidwho-833521

ABSTRACT

Recently, two novel subgroups of porcine epidemic diarrhea virus (PEDV) were identified in Tibetan pigs on the Qinghai-Tibet Plateau. We further investigated if the novel variant PEDV exists or had been prevalent in Sichuan region. One hundred and sixteen fecal and intestinal tissue samples collected in 2018-2019 from diarrheal pigs of Sichuan were detected for PEDV by RT-PCR, and the molecular characteristics of Spike genes (S) of PEDV were further investigated in this study. The results showed that the detection rate of PEDV was 42.2% (49/116, 95%CI=33.1%-51.8%) in diarrhea samples. Thirteen complete S gene sequences were obtained, and they were 4 149-4 170 bp in length, sharing 94.2%-99.9% identities with each other. Interestingly, SWUN-H3-CH-SCYA-2019 shared 97.0%-98.6% nucleotide sequence identities with those of the novel G1 subgroup of Tibetan Pig PEDVs. Phylogenetic and evolutionary analysis showed that the 13 S genes obtained in this study could be divided into G1 and G2 subgroups, one of which (SWUN-H3-CH-SCYA-2019 strain) fell into the novel G1 subgroup of Tibetan Pig PEDVs;the SWUN-19-CH-SCZY-2018, SWUN-4-CH-SCXC-2018, SWUN-1-CH-SCNJ-2019 and SWUN-3CH-CH-SCZG-2019 were clustered into an unique branch of G2 subgroup, and shared high sequence identities with the novel G2 subgroup of Tibetan Pig PEDVs. To further study the evolution process of 13 PEDVs, the BEAST software was used to estimate the divergence time. The results showed that the divergence time of SWUN-H3-CH-SCYA-2019 was about 2012.3 year, earlier than the earliest divergence time of the other novel G1 subgroup strains (2015.7 year), and the divergence time of SWUN-4-CH-SCXC-2018, SWUN-19-CH-SCZY-2018 and SWUN-3CH-CH-SCZG-2019 were about 2014.2 year, earlier than that of the novel G2 subgroup (2014.7 year). The divergence time of Tibetan pig PEDVs was later than that of strains identified in this study. Tibetan Pig PEDVs were first detected in Sichuan region, and we deduced a conclusion from different divergence time that the novel Tibetan Pig PEDVs were originated from Sichuan region. This study will provide the theoretical basis for monitoring the new variation of PEDV.

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