DC FieldValueLanguage
dc.contributorDepartment of Applied Biology and Chemical Technologyen_US
dc.creatorLi, Sen_US
dc.creatorNg, TTen_US
dc.creatorYao, ZPen_US
dc.date.accessioned2021-05-13T08:31:40Z-
dc.date.available2021-05-13T08:31:40Z-
dc.identifier.issn0308-8146en_US
dc.identifier.urihttp://hdl.handle.net/10397/89841-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectBlended oilsen_US
dc.subjectMass spectrometryen_US
dc.subjectMatrix-assisted laser desorption/ionizationen_US
dc.subjectPartial least squares regressionen_US
dc.subjectQuantitationen_US
dc.titleQuantitative analysis of blended oils by matrix-assisted laser desorption/ionization mass spectrometry and partial least squares regressionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume334en_US
dc.identifier.doi10.1016/j.foodchem.2020.127601en_US
dcterms.abstractQuantitative labeling of oil compositions has become a trend to ensure the quality and safety of blended oils in the market. However, methods for rapid and reliable quantitation of blended oils are still not available. In this study, matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) was used to profile triacylglycerols in blended oils, and partial least squares regression (PLS-R) was applied to establish quantitative models based on the acquired MALDI-MS spectra. We demonstrated that this new method allowed simultaneous quantitation of multiple compositions, and provided good quantitative results of binary, ternary and quaternary blended oils, enabling good limits of detection (e.g., detectability of 1.5% olive oil in sunflower seed oil). Compared with the conventional GC–FID method, this new method could allow direct analysis of blended oils, analysis of one blended oil sample within minutes, and accurate quantitation of low-abundance oil compositions and blended oils with similar fatty acid contents.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationFood chemistry, 1 Jan. 2021, v. 334, 127601en_US
dcterms.isPartOfFood chemistryen_US
dcterms.issued2021-01-
dc.identifier.scopus2-s2.0-85088372258-
dc.identifier.pmid32712491-
dc.identifier.artn127601en_US
dc.description.validate202105 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera0762-n01-
dc.identifier.SubFormID1469-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextP0020384en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2021.12.31en_US
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