Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891569700> ?p ?o ?g. }
- W2891569700 endingPage "74" @default.
- W2891569700 startingPage "70" @default.
- W2891569700 abstract "In this work, a method to quantify binary and ternary mixtures composed of extra virgin olive oil (protected designation of origin “Siurana”), soybean oil, and sweet almond oil is presented. The analytical approach is based on visible spectroscopy coupled with algorithmic tools of diverse natures (partial least squares and artificial neural networks (ANNs)). In general terms, the combination of absorption spectroscopy and ANNs result in better models than the linear ones tested. Specifically, when using ANN models, the estimation error of the concentration of every component in ternary blends leads to a 28% better accuracy than linear models. Due to the mean absolute error values achieved, this technique is suitable to rapidly verify the composition of mixtures of edible oils and, therefore, it could be used to validate the labels of extra virgin olive oil bottles." @default.
- W2891569700 created "2018-09-27" @default.
- W2891569700 creator A5012624725 @default.
- W2891569700 creator A5031435818 @default.
- W2891569700 creator A5039647597 @default.
- W2891569700 creator A5068756151 @default.
- W2891569700 date "2019-01-01" @default.
- W2891569700 modified "2023-10-14" @default.
- W2891569700 title "Linear and non-linear quantification of extra virgin olive oil, soybean oil, and sweet almond oil in blends to assess their commercial labels" @default.
- W2891569700 cites W1974703442 @default.
- W2891569700 cites W1989548779 @default.
- W2891569700 cites W1989689456 @default.
- W2891569700 cites W1990658019 @default.
- W2891569700 cites W1991426255 @default.
- W2891569700 cites W1996540281 @default.
- W2891569700 cites W2002016471 @default.
- W2891569700 cites W2017877881 @default.
- W2891569700 cites W2022834640 @default.
- W2891569700 cites W2031542643 @default.
- W2891569700 cites W2052469057 @default.
- W2891569700 cites W2055943000 @default.
- W2891569700 cites W2057964704 @default.
- W2891569700 cites W2090483434 @default.
- W2891569700 cites W2101896997 @default.
- W2891569700 cites W2118705731 @default.
- W2891569700 cites W2160339391 @default.
- W2891569700 cites W2164191984 @default.
- W2891569700 cites W2277730524 @default.
- W2891569700 cites W2323969373 @default.
- W2891569700 cites W2343219837 @default.
- W2891569700 cites W2511959631 @default.
- W2891569700 cites W2528530978 @default.
- W2891569700 cites W627058125 @default.
- W2891569700 cites W989691749 @default.
- W2891569700 doi "https://doi.org/10.1016/j.jfca.2018.09.010" @default.
- W2891569700 hasPublicationYear "2019" @default.
- W2891569700 type Work @default.
- W2891569700 sameAs 2891569700 @default.
- W2891569700 citedByCount "11" @default.
- W2891569700 countsByYear W28915697002019 @default.
- W2891569700 countsByYear W28915697002020 @default.
- W2891569700 countsByYear W28915697002021 @default.
- W2891569700 countsByYear W28915697002022 @default.
- W2891569700 countsByYear W28915697002023 @default.
- W2891569700 crossrefType "journal-article" @default.
- W2891569700 hasAuthorship W2891569700A5012624725 @default.
- W2891569700 hasAuthorship W2891569700A5031435818 @default.
- W2891569700 hasAuthorship W2891569700A5039647597 @default.
- W2891569700 hasAuthorship W2891569700A5068756151 @default.
- W2891569700 hasConcept C105795698 @default.
- W2891569700 hasConcept C154945302 @default.
- W2891569700 hasConcept C185592680 @default.
- W2891569700 hasConcept C186060115 @default.
- W2891569700 hasConcept C199360897 @default.
- W2891569700 hasConcept C22354355 @default.
- W2891569700 hasConcept C2779096019 @default.
- W2891569700 hasConcept C2779885280 @default.
- W2891569700 hasConcept C2988377048 @default.
- W2891569700 hasConcept C2994459887 @default.
- W2891569700 hasConcept C31903555 @default.
- W2891569700 hasConcept C33923547 @default.
- W2891569700 hasConcept C41008148 @default.
- W2891569700 hasConcept C48372109 @default.
- W2891569700 hasConcept C50644808 @default.
- W2891569700 hasConcept C64452783 @default.
- W2891569700 hasConcept C86803240 @default.
- W2891569700 hasConcept C94375191 @default.
- W2891569700 hasConceptScore W2891569700C105795698 @default.
- W2891569700 hasConceptScore W2891569700C154945302 @default.
- W2891569700 hasConceptScore W2891569700C185592680 @default.
- W2891569700 hasConceptScore W2891569700C186060115 @default.
- W2891569700 hasConceptScore W2891569700C199360897 @default.
- W2891569700 hasConceptScore W2891569700C22354355 @default.
- W2891569700 hasConceptScore W2891569700C2779096019 @default.
- W2891569700 hasConceptScore W2891569700C2779885280 @default.
- W2891569700 hasConceptScore W2891569700C2988377048 @default.
- W2891569700 hasConceptScore W2891569700C2994459887 @default.
- W2891569700 hasConceptScore W2891569700C31903555 @default.
- W2891569700 hasConceptScore W2891569700C33923547 @default.
- W2891569700 hasConceptScore W2891569700C41008148 @default.
- W2891569700 hasConceptScore W2891569700C48372109 @default.
- W2891569700 hasConceptScore W2891569700C50644808 @default.
- W2891569700 hasConceptScore W2891569700C64452783 @default.
- W2891569700 hasConceptScore W2891569700C86803240 @default.
- W2891569700 hasConceptScore W2891569700C94375191 @default.
- W2891569700 hasLocation W28915697001 @default.
- W2891569700 hasOpenAccess W2891569700 @default.
- W2891569700 hasPrimaryLocation W28915697001 @default.
- W2891569700 hasRelatedWork W2021842175 @default.
- W2891569700 hasRelatedWork W2046550022 @default.
- W2891569700 hasRelatedWork W2356433767 @default.
- W2891569700 hasRelatedWork W2382952044 @default.
- W2891569700 hasRelatedWork W3010249910 @default.
- W2891569700 hasRelatedWork W3015574337 @default.
- W2891569700 hasRelatedWork W3087169848 @default.
- W2891569700 hasRelatedWork W4300415159 @default.
- W2891569700 hasRelatedWork W638176872 @default.
- W2891569700 hasRelatedWork W2520558797 @default.