Publication
Microbiological contamination assessment in higher education institutes
dc.contributor.author | Viegas, Carla | |
dc.contributor.author | Pimenta, Raquel | |
dc.contributor.author | Dias, Marta | |
dc.contributor.author | Gomes, Bianca | |
dc.contributor.author | Brito, Miguel | |
dc.contributor.author | Caetano, Liliana Aranha | |
dc.contributor.author | Carolino, Elisabete | |
dc.contributor.author | Gomes, Anita Q. | |
dc.date.accessioned | 2021-09-02T17:39:15Z | |
dc.date.available | 2021-09-02T17:39:15Z | |
dc.date.issued | 2021-08 | |
dc.description | IPL_MOMENTO ZERO (ESTeSL/IPL/2020) | pt_PT |
dc.description | FCT_UIDB/05608/2020 | pt_PT |
dc.description | FCT_UIDP/05608/2020 | pt_PT |
dc.description.abstract | The higher education sector represents a unique environment and it acts as a work environment, a learning environment for students, and frequently, also a home environment. The aim of this study was to determine the microbial contamination (SARS-CoV-2, fungi, and bacteria) in Higher Education Facilities (HEI) by using active and passive sampling methods and combining culture-based methods with molecular tools targeting Aspergillus section Fumigati. In addition, the resistance to azole profile was also assessed. Surface samples showed a range of total bacterial contamination between 1 × 103 to 3.1 × 106 CFU·m−2, while Gram-negative bacteria ranged from 0 to 1.9 × 104 CFU·m−2. Fungal contamination ranged from 2 × 103 to 1.8 × 105 CFU·m−2 on MEA and from 5 × 103 to 1.7 × 105 CFU·m−2 on DG18. The most prevalent species found on both media was Cladosporium sp. (47.36% MEA; 32.33% DG18). Aspergillus genera were observed on MEA (3.21%) and DG18 (14.66%), but not in the supplemented media used for the azole screening. Aspergillus section Fumigati was detected in 2 air samples (2.22%, 2 out of 90 samples) by qPCR. When testing for SARS-CoV-2 all results were negative. The present study showed that although cleaning and disinfection procedures are done regularly due to the COVID-19 pandemic, being effective in eliminating SARS-CoV-2, surfaces were often contaminated with microorganisms other than SARS-CoV-2. This can be a result of increasing resistance to biocides, and to the wide range of environmental factors that can contribute to the dissemination of microbial contamination indoors. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Viegas C, Pimenta R, Brito M, Caetano LA, Carolino E, Gomes AQ, et al. Microbiological contamination assessment in higher education institutes. Atmosphere. 2021;12(8):1079. | pt_PT |
dc.identifier.doi | 10.3390/atmos12081079 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.21/13668 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.relation | Project IPL_MOMENTO ZERO (ESTeSL/IPL/2020) | pt_PT |
dc.relation | FCT_UIDB/05608/2020 | pt_PT |
dc.relation | FCT_UIDP/05608/2020 | pt_PT |
dc.relation.publisherversion | https://www.mdpi.com/2073-4433/12/8/1079 | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
dc.subject | Occupational health | pt_PT |
dc.subject | Occupational exposure | pt_PT |
dc.subject | Microbiological contamination | pt_PT |
dc.subject | Active and passive sampling | pt_PT |
dc.subject | Fungi | pt_PT |
dc.subject | Bacteria | pt_PT |
dc.subject | Azole resistance screening | pt_PT |
dc.subject | Aspergillus spp | pt_PT |
dc.subject | Aspergillus fumigatus | pt_PT |
dc.subject | IPL_MOMENTO ZERO (ESTeSL/IPL/2020) | pt_PT |
dc.subject | FCT_UIDB/05608/2020 | pt_PT |
dc.subject | FCT_UIDP/05608/2020 | pt_PT |
dc.title | Microbiological contamination assessment in higher education institutes | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.issue | 8 | pt_PT |
oaire.citation.startPage | 1079 | pt_PT |
oaire.citation.title | Atmosphere | pt_PT |
oaire.citation.volume | 12 | pt_PT |
person.familyName | Viegas | |
person.familyName | Brito | |
person.familyName | Aranha Caetano | |
person.familyName | Carolino | |
person.familyName | Gomes | |
person.givenName | Carla | |
person.givenName | Miguel | |
person.givenName | Liliana | |
person.givenName | Elisabete | |
person.givenName | Anita | |
person.identifier.ciencia-id | EE1E-C639-D70F | |
person.identifier.ciencia-id | 231F-F341-7E93 | |
person.identifier.ciencia-id | 9716-9DAC-532A | |
person.identifier.ciencia-id | 1216-EFA3-1E0F | |
person.identifier.ciencia-id | 4B10-E015-52B7 | |
person.identifier.orcid | 0000-0002-1545-6479 | |
person.identifier.orcid | 0000-0001-6394-658X | |
person.identifier.orcid | 0000-0003-1496-2609 | |
person.identifier.orcid | 0000-0003-4165-7052 | |
person.identifier.orcid | 0000-0002-3348-0448 | |
person.identifier.rid | B-7217-2013 | |
person.identifier.rid | A-7970-2016 | |
person.identifier.rid | F-1012-2015 | |
person.identifier.rid | C-3580-2014 | |
person.identifier.scopus-author-id | 55443609700 | |
person.identifier.scopus-author-id | 35224551000 | |
person.identifier.scopus-author-id | 25821697000 | |
person.identifier.scopus-author-id | 7202386033 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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relation.isAuthorOfPublication.latestForDiscovery | 4252d8e0-800c-4d67-8b13-0b711d860669 |
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