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Proteolytic Bacillus sp. Isolation and Identification from Tannery Alkaline Baths

datacite.subject.fosEngenharia e Tecnologia::Engenharia Química
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg13:Ação Climática
dc.contributor.authorLageiro, Maria Manuela
dc.contributor.authorSimões, Fernanda
dc.contributor.authorAlvarenga, Nuno
dc.contributor.authorDelgado dos Reis, Alberto José
dc.date.accessioned2025-11-07T16:15:10Z
dc.date.available2025-11-07T16:15:10Z
dc.date.issued2025-09
dc.description.abstractABSTRACT: The application of microbial alkaline proteases holds significant potential for eco-sustainable industrial processes by reducing chemical usage and lowering the costs of effluent treatment. In the search for novel proteases with industrial relevance, several microbial strains were isolated from alkaline baths of the Portuguese tannery agroindustry. The most promising protease-producing strains were selected for identification and further study. Two isolates demonstrated the highest proteolytic activity, reaching 0.51 +/- 0.01 U mL-1 and 0.70 +/- 0.01 U mL-1 after 7.5 h of submerged cultivation in nutrient broth. Based on API biochemical tests, molecular biology techniques, and GC-FAME analysis of membrane lipids, the isolates were identified as Bacillus subtilis and incorporated into INIAV's collection of industrial microbial cultures as B. subtilis CCMI 1253 (BMR2) and B. subtilis CCMI 1254 (BMR1). The most promising protease producer, B. subtilis CCMI 1253 (BMR2), exhibited a maximum specific growth rate of 0.88 +/- 0.10 h-1. The proteases produced exhibited good extracellular proteolytic activity, with adaptability to industrial conditions, indicating their suitability for agroindustry applications such as leather making, detergent formulations and the treatment of effluents and protein residues. The results support the potential of microbial proteases as valuable tools in the bioeconomy and green chemistry.eng
dc.identifier.citationLageiro, M., Simões, F., Alvarenga, N., & Reis, A. (2025). Proteolytic Bacillus sp. Isolation and Identification from Tannery Alkaline Baths. In: Molecules, 2025, vol. 30(17), article 3632. https://doi.org/10.3390/molecules30173632
dc.identifier.doi10.3390/molecules30173632
dc.identifier.eissn1420-3049
dc.identifier.urihttp://hdl.handle.net/10400.9/6139
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relationGeoBioSciences GeoTechnologies and GeoEngineering
dc.relation.hasversionhttps://www.mdpi.com/1420-3049/30/17/3632
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBacillus subtilis
dc.subjectEnzymatic activity
dc.subjectStain removal
dc.subjectBioeconomy
dc.subjectGreen chemistry
dc.titleProteolytic Bacillus sp. Isolation and Identification from Tannery Alkaline Bathseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleGeoBioSciences GeoTechnologies and GeoEngineering
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04035%2F2020/PT
oaire.citation.issue17
oaire.citation.titleMolecules
oaire.citation.volume30
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLageiro
person.familyNameSimões
person.familyNameAlvarenga
person.familyNameDelgado dos Reis
person.givenNameMaria Manuela
person.givenNameFernanda
person.givenNameNuno
person.givenNameAlberto José
person.identifier.ciencia-idE317-E8DB-14E3
person.identifier.orcid0000-0002-8683-6217
person.identifier.orcid0000-0001-8503-7563
person.identifier.orcid0000-0003-0625-0687
person.identifier.orcid0000-0002-1405-9981
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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relation.isAuthorOfPublication81bcdd6d-692a-434b-a209-7d9da5f9bb86
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relation.isAuthorOfPublication.latestForDiscovery6f5924b9-71c0-4061-a58b-09fda880f8a7
relation.isProjectOfPublication56330161-8ae0-4805-8bcc-0f102c8fc4e9
relation.isProjectOfPublication.latestForDiscovery56330161-8ae0-4805-8bcc-0f102c8fc4e9

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