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Uncu, Oguz; Ozen, Banu; Tokatli, Figen
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/70381</identifier> <creators> <creator> <creatorName>Uncu, Oguz</creatorName> <givenName>Oguz</givenName> <familyName>Uncu</familyName> <affiliation>Izmir Inst Technol, Dept Food Engn, Urla Izmir, Turkey</affiliation> </creator> <creator> <creatorName>Ozen, Banu</creatorName> <givenName>Banu</givenName> <familyName>Ozen</familyName> <affiliation>Izmir Inst Technol, Dept Food Engn, Urla Izmir, Turkey</affiliation> </creator> <creator> <creatorName>Tokatli, Figen</creatorName> <givenName>Figen</givenName> <familyName>Tokatli</familyName> <affiliation>Izmir Inst Technol, Dept Food Engn, Urla Izmir, Turkey</affiliation> </creator> </creators> <titles> <title>Use Of Ftir And Uv-Visible Spectroscopy In Determination Of Chemical Characteristics Of Olive Oils</title> </titles> <publisher>Aperta</publisher> <publicationYear>2019</publicationYear> <dates> <date dateType="Issued">2019-01-01</date> </dates> <resourceType resourceTypeGeneral="Text">Journal article</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/70381</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.talanta.2019.03.116</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract">It was aimed to predict fatty acid ethyl ester (FAEE), wax, diacylglycerol (DAG) and color pigment contents of olive oils by using rapid and non-destructive spectroscopic techniques (FTIR and UV-vis) individually and in combination. Prediction models were constructed by using partial least squares (PLS) regression with cross and external validation. FAEEs were estimated best with FTIR + UV-Vis spectroscopy (R-cv.(2) = 0.84, R-pred(2) = 0.90, and RPD = 3.0). PLS model with R-cv.(2) = 0.79, R-pred(2) = 0.71, and RPD = 1.9 was obtained for the estimation of 1,2 DAG using FTIR spectral data. Major pigments, lutein, pheophytin a and their derivatives and total xanthophylls were quantified successfully by FTIR + UV-Vis with a range of R-cv.(2) of 0.71-0.85, R-pred(2) of 0.70-0.84, and RPD = 1.5-2.5 values but the prediction of the rest of the pigments were poor (R-cv(2) = 0.60-0.76, R-pred(2) = 0.42-0.62, and RPD = 1.2-1.5). Combination of two spectral data resulted in average prediction of wax content of oils (R-cal(2) = 0.95, R-pred(2) = 0.75, and RPD = 1.9). FTIR and UV-vis spectroscopic techniques in combination with PLS regression provided promising results for the prediction of several chemical parameters of olive oils; therefore, they could be alternatives to traditional analysis methods.</description> </descriptions> </resource>
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