Prediction of ‘Nules Clementine’ mandarin susceptibility to rind breakdown disorder using Vis/NIR spectroscopy

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dc.contributor.authorMagwaza, Lembe Samukelo
dc.contributor.authorOpara, Umezuruike Linus
dc.contributor.authorTerry, Leon A.
dc.contributor.authorLandahl, Sandra
dc.contributor.authorCronje, Paul J.
dc.contributor.authorNieuwoudt, Helene
dc.contributor.authorMouazen, Abdul Mounem
dc.contributor.authorSaeys, Wouter
dc.contributor.authorNicolai, Bart M.
dc.date.accessioned2016-05-20T11:14:18Z
dc.date.available2016-05-20T11:14:18Z
dc.date.issued2012-07-15
dc.description.abstractThe use of diffuse reflectance visible and near infrared (Vis/NIR) spectroscopy was explored as a non-destructive technique to predict ‘Nules Clementine’ mandarin fruit susceptibility to rind breakdown (RBD) disorder by detecting rind physico-chemical properties of 80 intact fruit harvested from different canopy positions. Vis/NIR spectra were obtained using a LabSpec® spectrophotometer. Reference physico-chemical data of the fruit were obtained after 8 weeks of storage at 8 °C using conventional methods and included RBD, hue angle, colour index, mass loss, rind dry matter, as well as carbohydrates (sucrose, glucose, fructose, total carbohydrates), and total phenolic acid concentrations. Principal component analysis (PCA) was applied to analyse spectral data to identify clusters in the PCA score plots and outliers. Partial least squares (PLS) regression was applied to spectral data after PCA to develop prediction models for each quality attribute. The spectra were subjected to a test set validation by dividing the data into calibration (n = 48) and test validation (n = 32) sets. An extra set of 40 fruit harvested from a different part of the orchard was used for external validation. PLS-discriminant analysis (PLS-DA) models were developed to sort fruit based on canopy position and RBD susceptibility. Fruit position within the canopy had a significant influence on rind biochemical properties. Outside fruit had higher rind carbohydrates, phenolic acids and dry matter content and lower RBD index than inside fruit. The data distribution in the PCA and PLS-DA models displayed four clusters that could easily be identified. These clusters allowed distinction between fruit from different preharvest treatments. NIR calibration and validation results demonstrated that colour index, dry matter, total carbohydrates and mass loss were predicted with significant accuracy, with residual predictive deviation (RPD) for prediction of 3.83, 3.58, 3.15 and 2.61, respectively. The good correlation between spectral information and carbohydrate content demonstrated the potential of Vis/NIR as a non-destructive tool to predict fruit susceptibility to RBD.en_UK
dc.identifier.citationLembe S. Magwaza, Umezuruike Linus Opara, Leon A. Terry, Sandra Landahl, Paul J. Cronje, Hélène Nieuwoudt, Abdul Mounem Mouazen, Wouter Saeys, Bart M. Nicolaï, Prediction of ‘Nules Clementine’ mandarin susceptibility to rind breakdown disorder using Vis/NIR spectroscopy, Postharvest Biology and Technology, Volume 74, December 2012, Pages 1-10en_UK
dc.identifier.issn0925-5214
dc.identifier.urihttp://dx.doi.org/10.1016/j.postharvbio.2012.06.007
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/9905
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-Non-Commercial-No Derivitives 3.0 Unported (CC BY-NC-ND 3.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.en_UK
dc.rights“NOTICE: this is the author’s version of a work that was accepted for publication in Postharvest Biology and Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Postharvest Biology and Technology, VOL 74, 15/07/2012, DOI: 10.1016/j.postharvbio.2012.06.007”en_UK
dc.subjectNon-destructiveen_UK
dc.subjectVis/near infrared spectroscopyen_UK
dc.subjectRind breakdown disorderen_UK
dc.subjectRBDen_UK
dc.subjectCitrusen_UK
dc.subjectNules clementineen_UK
dc.subjectMandarinen_UK
dc.subjectCanopy positionen_UK
dc.titlePrediction of ‘Nules Clementine’ mandarin susceptibility to rind breakdown disorder using Vis/NIR spectroscopyen_UK
dc.typeArticleen_UK

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