Detection of carbon nanotubes in bovine raw milk through Fourier transform Raman spectroscopy

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dc.creatorPhilipe Nunes
dc.creatorÁlan Borges
dc.creatorMariana Almeida
dc.creatorFlávia Pacheco
dc.creatorC. Fantini
dc.creatorClascidia Furtado
dc.creatorLuiz Ladeira
dc.creatorAdo Jorio de Vasconcelos
dc.creatorAntônio Júnior
dc.creatorRenato Santos
dc.date.accessioned2025-02-20T21:05:17Z
dc.date.accessioned2025-09-09T01:28:23Z
dc.date.available2025-02-20T21:05:17Z
dc.date.issued2023-11-02
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.3168/jds.2023-23481
dc.identifier.issn0022-0302
dc.identifier.urihttps://hdl.handle.net/1843/80283
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofJournal of Dairy Science
dc.rightsAcesso Aberto
dc.subjectVacas
dc.subjectMedicina veterinária
dc.subjectVeterinária
dc.subjectBovinos
dc.subjectLeite
dc.subjectCarbono
dc.subject.otherCarbon nanotube
dc.subject.otherCow
dc.subject.otherMilk
dc.subject.otherPartial least squares-discriminant
dc.subject.otherAnalysis
dc.subject.otherRaman spectroscopy
dc.titleDetection of carbon nanotubes in bovine raw milk through Fourier transform Raman spectroscopy
dc.typeArtigo de periódico
local.citation.epage2689
local.citation.issue5
local.citation.spage2681
local.citation.volume107
local.description.resumoThe potential use of carbon-based methodologies for drug delivery and reproductive biology in cows raises concerns about residues in milk and food safety. This study aimed to assess the potential of Fourier transform Raman spectroscopy and discriminant analysis using partial least squares (PLS-DA) to detect functionalized multiwalled carbon nanotubes (MWCNT) in bovine raw milk. Oxidized MWCNT were diluted in milk at different concentrations from 25.00 to 0.01 µg/mL. Raman spectroscopy measurements and PLS-DA were performed to identify low concentrations of MWCNT in milk samples. The PLS-DA model was characterized by the analysis of the variable importance in projection (VIP) scores. All the training samples were correctly classified by the model, resulting in no false-positive or false-negative classifications. For test samples, only one false-negative result was observed, for 0.01 µg/mL MWCNT dilution. The association between Raman spectroscopy and PLS-DA was able to identify MWCNT diluted in milk samples up to 0.1 µg/mL. The PLS-DA model was built and validated using a set of test samples and spectrally interpreted based on the highest VIP scores. This allowed the identification of the vibrational modes associated with the D and G bands of MWCNT, as well as the milk bands, which were the most important variables in this analysis.
local.identifier.orcidhttps://orcid.org/0000-0001-7906-3837
local.identifier.orcidhttps://orcid.org/0000-0002-2612-068X
local.identifier.orcidhttps://orcid.org/0000-0001-7812-4319
local.identifier.orcidhttps://orcid.org/0000-0002-5978-2735
local.identifier.orcidhttps://orcid.org/0000-0002-4830-0470
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA QUÍMICA
local.publisher.departmentICX - DEPARTAMENTO DE FÍSICA
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S0022030223007634?via%3Dihub

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