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Quantitative probability estimation of light-induced inactivation of SARS-CoV-2

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dc.contributor.authorQuintana, Jaime
dc.contributor.authorAlda, Irene
dc.contributor.authorAlda, Javier
dc.contributor.funderUniversidad Complutense de Madrid
dc.contributor.funderComunidad de Madrid
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.available2024-07-08T13:14:57Z
dc.date.issued2024
dc.description.abstractDuring the COVID pandemic caused by the SARS-CoV-2 virus,studies have shown the efficiency of deactivating this virus via ultraviolet light. The damage mechanism is well understood: UV light disturbs the integrity of the RNA chain at those locations where specific nucleotide neighbors occur. In this contribution,we present a model to address certain gaps in the description of the interaction between UV photons and the RNA sequence for virus inactivation. We begin by exploiting the available information on the pathogen’s morphology,physical,and genomic characteristics,enabling us to estimate the average number of UV photons required to photochemically damage the virus’s RNA. To generalize our results,we have numerically generated random RNA sequences and checked that the distribution of pairs of nucleotides susceptible of damage for the SARS-CoV-2 is within the expected values for a random-generated RNA chain. After determining the average number of photons reaching the RNA for a preset level of fluence (or photon density),we applied the binomial probability distribution to evaluate the damage of nucleotide pairs in the RNA chain due to UV radiation. Our results describe this interaction in terms of the probability of damaging a single pair of nucleotides,and the number of available photons. The cumulative probability exhibits a steep sigmoidal shape,implying that a relatively small change in the number of affected pairs may trigger the inactivation of the virus. Our light-RNA interaction model quantitatively describes how the fraction of affected pairs of nucleotides in the RNA sequence depends on the probability of damaging a single pair and the number of photons impinging on it. A better understanding of the underlying inactivation mechanism would help in the design of optimum experiments and UV sanitization methods. Although this paper focuses on SARS-CoV-2,these results can be adapted for any other type of pathogen susceptible of UV damage. © The Author(s) 2024.
dc.description.fundingtypeThis work has been partially supported by Project COV20-01244-CM funded by the Comunidad de Madrid. This study was also funded by a REACT-EU Grant from the Comunidad de Madrid to the ANTICIPA project of Complutense University of Madrid. The funders had no role in study design, data collection and analysis, preparation of the manuscript or decision to publish. The authors are very grateful to Dr. Gerard Conangla for his valuable analysis of the computational realization of randomly generated RNA chains and for his critical reading.
dc.description.keywordLight-virus interaction
dc.description.keywordOptical disinfection
dc.description.keywordUltraviolet light
dc.formatapplication/pdf
dc.identifier.citationQuintana, J., Alda, I., & Alda, J. (2024). Quantitative probability estimation of light-induced inactivation of SARS-CoV-2. Scientific reports, 14(1), 33-86.
dc.identifier.doihttps://doi.org/10.1038/s41598-024-54006-y
dc.identifier.issn20452322
dc.identifier.officialurlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85184726975&doi=10.1038%2fs41598-024-54006-y&partnerID=40&md5=e8d03f2d8fd1857d29a968dea511562a
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3107
dc.issue.number1
dc.journal.titleScientific Reports
dc.language.isoeng
dc.publisherNature Research
dc.relation.departmentApplied Mathematics
dc.relation.entityIE University
dc.relation.schoolIE School of Science & Technology
dc.rightsAttribution 4,0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectLight-virus interaction; Optical disinfection; Ultraviolet light
dc.subject.keywordLight-virus interaction
dc.subject.keywordOptical disinfection
dc.subject.keywordUltraviolet light
dc.titleQuantitative probability estimation of light-induced inactivation of SARS-CoV-2
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number14
dspace.entity.typePublication
person.identifier.scopus-author-id57345695800
person.identifier.scopus-author-id58879349100
person.identifier.scopus-author-id7007155487
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