Literature DB >> 35289640

Mathematical Modeling for Evaluating Inherent Parameters Affecting UVC Decontamination of Indicator Bacteria.

Phetcharat Jaiaue1, Jirabhorn Piluk2, Kanokon Sawattrakool3, Jesnipit Thammakes1, Chacriya Malasuk4, Sitanan Thitiprasert2, Nuttha Thongchul2, Siwaruk Siwamogsatham4.   

Abstract

UV light is a tool associated with the denaturation of cellular components, DNA damage, and cell disruption. UV treatment is widely used in the decontamination process; however, predicting a sufficient UV dose by using traditional methods is doubtful. In this study, an in-house UVC apparatus was designed to investigate the process of the inactivation of five indicator bacteria when the initial cell concentrations and irradiation intensities varied. Both linear and nonlinear mathematical models were applied to predict the inactivation kinetics. In comparison with the Weibull and modified Chick-Watson models, the Chick-Watson model provided a good fit of the experimental data for five bacteria, Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Streptococcus faecalis, and Bacillus subtilis. The specific death rate (kd) significantly increased when the irradiation intensity (I) increased from 1.41 W/m2 to 3.02 W/m2 and 4.83 W/m2 (P < 0.05). Statistical analysis revealed no significant difference in the kd values among the groups of tested Gram-positive bacteria, Gram-negative bacteria, and B. subtilis spores, but the kd values differed among groups (P < 0.05). The death rate coefficient (k) varied from species to species. The k values of the tested Gram-positive bacteria were higher than those of the Gram-negative bacteria. The thick peptidoglycan layer in the Gram-positive membrane was responsible for UVC resistance. The high guanine-cytosine (GC) content in bacteria also contributed to UV resistance due to the less photoreactive sites on the nucleotides. This investigation provides a good understanding of bacterial inactivation induced by UVC treatment. IMPORTANCE Prevention and control measures for microbial pathogens have attracted worldwide attention due to the recent coronavirus disease 2019 pandemic. UV treatments are used as a commercial control to prevent microbial contamination in diverse applications. Microorganisms exhibit different UV sensitivities, which are often measured by the UV doses required for decreasing the number of microbial contaminants in the logarithmic order. The maximum efficacy of UV is usually observed at 254 nm (residing in the UVC range of the light spectrum). UV technology is a nonthermal physical decontamination measure that does not require any chemicals and consumes low levels of energy while leaving insignificant amounts of chemical residues or toxic compounds. Therefore, obtaining the microbial death kinetics and their intrinsic parameters provided in this study together with the UV photoreaction rate enables advancement in the design of UV treatment systems.

Entities:  

Keywords:  Chick-Watson inactivation model; UVC inactivation; Weibull model; death kinetic rate constant; indicator bacteria; modified Chick-Watson model

Mesh:

Year:  2022        PMID: 35289640      PMCID: PMC9004376          DOI: 10.1128/aem.02148-21

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   5.005


  13 in total

1.  Structural analysis of Bacillus subtilis spore peptidoglycan during sporulation.

Authors:  J Meador-Parton; D L Popham
Journal:  J Bacteriol       Date:  2000-08       Impact factor: 3.490

2.  Recent advances on the application of UV-LED technology for microbial inactivation: Progress and mechanism.

Authors:  Yasmine Kebbi; Aliyu Idris Muhammad; Anderson S Sant'Ana; Leonardo do Prado-Silva; Donghong Liu; Tian Ding
Journal:  Compr Rev Food Sci Food Saf       Date:  2020-10-11       Impact factor: 12.811

3.  Modeling inactivation kinetics of liquid egg white exposed to UV-C irradiation.

Authors:  Sevcan Unluturk; Mehmet R Atilgan; A Handan Baysal; Mehmet S Unluturk
Journal:  Int J Food Microbiol       Date:  2010-07-15       Impact factor: 5.277

4.  The cluster model of ultraviolet disinfection explains tailing kinetics.

Authors:  W J Kowalski; W P Bahnfleth; M Raguse; R Moeller
Journal:  J Appl Microbiol       Date:  2019-12-11       Impact factor: 3.772

5.  Comparative evaluation of operating room terminal cleaning by two methods: Focused multivector ultraviolet (FMUV) versus manual-chemical disinfection.

Authors:  Donna Armellino; Kristine Goldstein; Linti Thomas; Thomas J Walsh; Vidmantas Petraitis
Journal:  Am J Infect Control       Date:  2019-11-30       Impact factor: 2.918

6.  Mechanisms investigation on bacterial inactivation through combinations of UV wavelengths.

Authors:  Kai Song; Madjid Mohseni; Fariborz Taghipour
Journal:  Water Res       Date:  2019-07-16       Impact factor: 11.236

7.  Inactivation kinetics and efficiencies of UV-LEDs against Pseudomonas aeruginosa, Legionella pneumophila, and surrogate microorganisms.

Authors:  Surapong Rattanakul; Kumiko Oguma
Journal:  Water Res       Date:  2017-11-23       Impact factor: 11.236

8.  UV-Heat Treatments for the Control of Foodborne Microbial Pathogens in Chicken Broth.

Authors:  M Gouma; E Gayán; J Raso; S Condón; I Álvarez
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

9.  Inactivation of airborne bacteria using different UV sources: Performance modeling, energy utilization, and endotoxin degradation.

Authors:  Can Wang; Siyi Lu; Zhiwei Zhang
Journal:  Sci Total Environ       Date:  2018-11-20       Impact factor: 7.963

10.  The efficacy of vacuum-ultraviolet light disinfection of some common environmental pathogens.

Authors:  Wai Szeto; W C Yam; Haibao Huang; Dennis Y C Leung
Journal:  BMC Infect Dis       Date:  2020-02-11       Impact factor: 3.090

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