Matches in SemOpenAlex for { <https://semopenalex.org/work/W4205272540> ?p ?o ?g. }
- W4205272540 endingPage "120841" @default.
- W4205272540 startingPage "120841" @default.
- W4205272540 abstract "In this study, near infrared (NIR) spectroscopy combined with chemometrics was used for the quantitative analysis of corn oil in binary to hexanary edible blend oil. Sesame oil, soybean oil, rice oil, sunflower oil and peanut oil were mixed with corn oil subsequently to form binary, ternary, quaternary, quinary and hexanary blend oil datasets. NIR spectra for the five order blend oil datasets were measured in a transmittance mode in the range of 12000-4000 cm-1. Partial least square (PLS) was used to build models for the five datasets. Six spectral preprocessing methods and their combinations were investigated to improve the prediction performance. Furthermore, the optimal preprocessing-PLS models were further optimized by uninformative variable elimination (UVE), Monte Carlo uninformative variable elimination (MCUVE) and randomization test (RT) variable selection methods. The optimal models acquire root mean square error of prediction (RMSEP) of 1.7299, 2.2089, 2.3742, 2.5608 and 2.6858 for binary, ternary, quaternary, quinary and hexanary blend oil datasets, respectively. The determination coefficients of prediction set (R2P) and residual predictive deviations (RPDs) for the five datasets are all above 0.93 and 3. Results show that the prediction accuracy is gradually decreased with the increasing of mixture order of blend oil. However, with proper spectral preprocessing and variable selection, the optimal models present good prediction accuracy even for the higher order blend oil. It demonstrates that NIR technology is feasible for determining the pure oil contents in binary to hexanary blend oil." @default.
- W4205272540 created "2022-01-25" @default.
- W4205272540 creator A5013713152 @default.
- W4205272540 creator A5024120345 @default.
- W4205272540 creator A5032377389 @default.
- W4205272540 creator A5061900442 @default.
- W4205272540 creator A5069518764 @default.
- W4205272540 date "2022-04-01" @default.
- W4205272540 modified "2023-10-16" @default.
- W4205272540 title "Near infrared spectroscopy combined with chemometrics for quantitative analysis of corn oil in edible blend oil" @default.
- W4205272540 cites W2017422910 @default.
- W4205272540 cites W2018338598 @default.
- W4205272540 cites W2021525299 @default.
- W4205272540 cites W2036655443 @default.
- W4205272540 cites W2039690454 @default.
- W4205272540 cites W2051275357 @default.
- W4205272540 cites W2162012409 @default.
- W4205272540 cites W2166232961 @default.
- W4205272540 cites W2298145110 @default.
- W4205272540 cites W2308153101 @default.
- W4205272540 cites W2343131276 @default.
- W4205272540 cites W2403991185 @default.
- W4205272540 cites W2511959631 @default.
- W4205272540 cites W2523169181 @default.
- W4205272540 cites W2597825333 @default.
- W4205272540 cites W2626765686 @default.
- W4205272540 cites W2756143861 @default.
- W4205272540 cites W2771222472 @default.
- W4205272540 cites W2774470802 @default.
- W4205272540 cites W2794343989 @default.
- W4205272540 cites W2885475566 @default.
- W4205272540 cites W2896120238 @default.
- W4205272540 cites W2943258573 @default.
- W4205272540 cites W2979893944 @default.
- W4205272540 cites W2981671138 @default.
- W4205272540 cites W2997231073 @default.
- W4205272540 cites W3007197850 @default.
- W4205272540 cites W3011983738 @default.
- W4205272540 cites W3024262385 @default.
- W4205272540 cites W3038340166 @default.
- W4205272540 cites W3042305154 @default.
- W4205272540 cites W3082929602 @default.
- W4205272540 cites W3088427259 @default.
- W4205272540 cites W3089582199 @default.
- W4205272540 cites W3091349910 @default.
- W4205272540 cites W3098968040 @default.
- W4205272540 cites W3115860067 @default.
- W4205272540 cites W3137060398 @default.
- W4205272540 cites W3165595412 @default.
- W4205272540 cites W3195720888 @default.
- W4205272540 doi "https://doi.org/10.1016/j.saa.2021.120841" @default.
- W4205272540 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35033805" @default.
- W4205272540 hasPublicationYear "2022" @default.
- W4205272540 type Work @default.
- W4205272540 citedByCount "20" @default.
- W4205272540 countsByYear W42052725402022 @default.
- W4205272540 countsByYear W42052725402023 @default.
- W4205272540 crossrefType "journal-article" @default.
- W4205272540 hasAuthorship W4205272540A5013713152 @default.
- W4205272540 hasAuthorship W4205272540A5024120345 @default.
- W4205272540 hasAuthorship W4205272540A5032377389 @default.
- W4205272540 hasAuthorship W4205272540A5061900442 @default.
- W4205272540 hasAuthorship W4205272540A5069518764 @default.
- W4205272540 hasConcept C105795698 @default.
- W4205272540 hasConcept C11413529 @default.
- W4205272540 hasConcept C139945424 @default.
- W4205272540 hasConcept C151304367 @default.
- W4205272540 hasConcept C154945302 @default.
- W4205272540 hasConcept C155512373 @default.
- W4205272540 hasConcept C159985019 @default.
- W4205272540 hasConcept C169272836 @default.
- W4205272540 hasConcept C178790620 @default.
- W4205272540 hasConcept C185592680 @default.
- W4205272540 hasConcept C186060115 @default.
- W4205272540 hasConcept C192562407 @default.
- W4205272540 hasConcept C199360897 @default.
- W4205272540 hasConcept C2776124570 @default.
- W4205272540 hasConcept C2776214188 @default.
- W4205272540 hasConcept C2779096019 @default.
- W4205272540 hasConcept C2779885280 @default.
- W4205272540 hasConcept C2780026712 @default.
- W4205272540 hasConcept C2781139463 @default.
- W4205272540 hasConcept C31903555 @default.
- W4205272540 hasConcept C33923547 @default.
- W4205272540 hasConcept C41008148 @default.
- W4205272540 hasConcept C43617362 @default.
- W4205272540 hasConcept C64452783 @default.
- W4205272540 hasConcept C86803240 @default.
- W4205272540 hasConceptScore W4205272540C105795698 @default.
- W4205272540 hasConceptScore W4205272540C11413529 @default.
- W4205272540 hasConceptScore W4205272540C139945424 @default.
- W4205272540 hasConceptScore W4205272540C151304367 @default.
- W4205272540 hasConceptScore W4205272540C154945302 @default.
- W4205272540 hasConceptScore W4205272540C155512373 @default.
- W4205272540 hasConceptScore W4205272540C159985019 @default.
- W4205272540 hasConceptScore W4205272540C169272836 @default.
- W4205272540 hasConceptScore W4205272540C178790620 @default.
- W4205272540 hasConceptScore W4205272540C185592680 @default.