Use of an NIR MEMS spectrophotometer and visible/NIR hyperspectral imaging systems to predict quality parameters of treated ground peppercorns

DC FieldValueLanguage
dc.contributor.authorEsquerre, Carlos A.-
dc.contributor.authorAchata, Eva M.-
dc.contributor.authorGarcía-Vaquero, Marco-
dc.contributor.authorO'Donnell, C. P. (Colm P.)-
dc.contributor.authoret al.-
dc.date.accessioned2021-02-17T10:54:31Z-
dc.date.available2021-02-17T10:54:31Z-
dc.date.copyright2020 the Authorsen_US
dc.date.issued2020-09-
dc.identifier.citationLWTen_US
dc.identifier.issn0023-6438-
dc.identifier.urihttp://hdl.handle.net/10197/11958-
dc.description.abstractThe aim of this study was to investigate the potential of a micro-electromechanical NIR spectrophotometer (NIR-MEMS) and visible (Vis)/NIR hyperspectral imaging (HSI) systems to predict the moisture content, antioxidant capacity (DPPH, FRAP) and total phenolic content (TPC) of treated ground peppercorns. Partial least squares (PLS) models were developed using spectra from peppercorns treated with hot-air, microwave and cold plasma. The spectra were acquired using three spectroscopy systems: NIR-MEMS (1350–1650 nm), Vis-NIR HSI (450–950 nm) and NIR HSI (957–1664 nm). Very good predictions of TPC (RPD > 3.6) were achieved using NIR-MEMS. The performance of models developed using Vis-NIR HSI and NIR HSI were good or very good for DPPH (RPD > 3.0), FRAP (RPD >2.9) and TPC (RPD > 3.8). This study demonstrated the potential of NIR-MEMS and Vis-NIR/NIR HSI to predict the moisture content, antioxidant capacity and total phenolic content of peppercorns. The spectroscopy technologies investigated are suitable for use as in-line PAT tools to facilitate improved process control and understanding during peppercorn processing.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsPublished by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).en_US
dc.subjectNIR MEMSen_US
dc.subjectHyperspectral imagingen_US
dc.subjectAntioxidant capacityen_US
dc.subjectTotal phenolic contenten_US
dc.subjectPeppercornen_US
dc.titleUse of an NIR MEMS spectrophotometer and visible/NIR hyperspectral imaging systems to predict quality parameters of treated ground peppercornsen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactothermarco.garciavaquero@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume131en_US
dc.citation.otherArticle Number: 109761en_US
dc.identifier.doi10.1016/j.lwt.2020.109761-
dc.neeo.contributorEsquerre|Carlos A.|aut|-
dc.neeo.contributorAchata|Eva M.|aut|-
dc.neeo.contributorGarcía-Vaquero|Marco|aut|-
dc.neeo.contributorO'Donnell|C. P. (Colm P.)|aut|-
dc.neeo.contributoret al.||aut|-
dc.date.updated2020-08-04T10:44:57Z-
dc.rights.licensehttps://creativecommons.org/licenses/by/3.0/ie/en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Biosystems and Food Engineering Research Collection
Agriculture and Food Science Research Collection
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