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Authordc.contributor.authorYoplac, Ives 
Authordc.contributor.authorAvila-George, H. 
Authordc.contributor.authorMardones Vargas, Luis Alejandro 
Authordc.contributor.authorRobert Canales, Paz 
Authordc.contributor.authorCastro, Wilson 
Admission datedc.date.accessioned2019-10-22T03:10:10Z
Available datedc.date.available2019-10-22T03:10:10Z
Publication datedc.date.issued2019
Cita de ítemdc.identifier.citationHeliyon, Volumen 5, Issue 7, 2019,
Identifierdc.identifier.issn24058440
Identifierdc.identifier.other10.1016/j.heliyon.2019.e02122
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/171881
Abstractdc.description.abstractThis work evaluates near-infrared (NIR) spectroscopy coupled with chemometric tools for determining the superficial content of citral (SCCt) on microparticles. To perform this evaluation, using spray drying, citral was encapsulated in a matrix of dextrin using twelve combinations of citral:dextrin ratios (CDR) and inlet air temperatures (IAT). From each treatment, six samples were extracted, and their SCCt and NIR absorption spectral profiles were measured. Then, the spectral profiles, pretreated and randomly divided into modeling and validation datasets, were used to build the following prediction models: principal component analysis-multilinear regression (PCA-MLR), principal component analysis-artificial neural network (PCA-ANN), partial least squares regression (PLSR) and an artificial neural network (ANN). During the validation stage, the models showed R2 values from 0.73 to 0.96 and a root mean squared error (RMSE) range of [0.061–0.140]. Moreover, when the models were compared, the full and optimized ANN models showed the best fits. According to this study, NIR coupled with chemometric tools has the potential for application in determining SCCt on microparticles, particularly when using ANN models.
Lenguagedc.language.isoen
Publisherdc.publisherElsevier Ltd
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceHeliyon
Keywordsdc.subjectANN
Keywordsdc.subjectChemometrics
Keywordsdc.subjectFood analysis
Keywordsdc.subjectFood chemistry
Keywordsdc.subjectFood composition
Keywordsdc.subjectFood science
Keywordsdc.subjectMLR
Keywordsdc.subjectPCA
Keywordsdc.subjectPLSR
Keywordsdc.subjectPrediction
Keywordsdc.subjectSpectroscopy
Títulodc.titleDetermination of the superficial citral content on microparticles: An application of NIR spectroscopy coupled with chemometric tools
Document typedc.typeArtículo de revista
dcterms.accessRightsdcterms.accessRightsAcceso Abierto
Catalogueruchile.catalogadorSCOPUS
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile