Prediction of some internal quality parameters of apricot using FT-NIR spectroscopy

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dc.contributor.authorBuyukcan, M. Burak
dc.contributor.authorKavdir, Ismail
dc.date.accessioned2025-01-27T20:47:22Z
dc.date.available2025-01-27T20:47:22Z
dc.date.issued2017
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractThe characteristics of internal quality attributes (firmness, soluble solids content and color values) of the Tokaloglu apricot cultivar (Prunus armeniaca L.) were predicted nondestructively using Fourier Transform-Near Infrared (FT-NIR) spectroscopy. Calibration methods were developed between the physical parameters, which were measured using standard methods, and the spectral measurements (in reflectance mode between 780 and 2500 nm) using Partial Least Squares method (PLS). Good correlations were obtained in calibration and validation procedures for Magness-Taylor (MT) maximum force, with a coefficient of determination (R-2) of 0.82 (RMSEE = 4.45) in calibration and 0.80 (RMSECV = 4.68) in validation for multiple-harvest (MH) apricot group. The coefficient of determination (R-2) for predicting MT slope was 0.79 (RMSEE = 0.83) in calibration and 0.77 (RMSECV = 0.88) in validation for the MH apricot group while it was 0.56 (RMSEE = 0.69) in calibration and 0.47 (RMSECV = 0.80) in validation for single-harvest (SH) apricot group. Good correlations were obtained for MT area with the coefficient of determination (R-2) of 0.75 (RMSEE = 20.1) in calibration and R-2 = 0.71 (RMSECV = 21) in validation for MH group. Good prediction values were obtained for soluble solids content for both applications (MH and SH) using FT-NIR spectroscopy: the best coefficient of determination was obtained for MH application with 0.77 (RMSEE = 1.45) in calibration and 0.75 (RMSECV = 1.51) in validation. Correlation values for prediction of chroma and hue were low for MH application, with R-2 = 0.55 (RMSECV = 3.38) for chroma and with R-2 = 0.16 (RMSECV = 0.49) for hue. The results showed that NIR spectroscopy has a good potential to predict internal quality of apricots non-destructively, however it has a limited ability to predict color features.
dc.description.sponsorshipCanakkale Onsekiz Mart University Council of Scientific Research Projects (COMU-BAP) [2007/31]
dc.description.sponsorshipThe authors acknowledge the financial support of Canakkale Onsekiz Mart University Council of Scientific Research Projects (COMU-BAP, project 2007/31) for this study.
dc.identifier.doi10.1007/s11694-016-9434-9
dc.identifier.endpage659
dc.identifier.issn2193-4126
dc.identifier.issn2193-4134
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84992212962
dc.identifier.scopusqualityQ1
dc.identifier.startpage651
dc.identifier.urihttps://doi.org/10.1007/s11694-016-9434-9
dc.identifier.urihttps://hdl.handle.net/20.500.12428/24862
dc.identifier.volume11
dc.identifier.wosWOS:000400385000030
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofJournal of Food Measurement and Characterization
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectFT-NIR spectroscopy
dc.subjectApricot
dc.subjectFirmness
dc.subjectSSC
dc.subjectColor
dc.titlePrediction of some internal quality parameters of apricot using FT-NIR spectroscopy
dc.typeArticle

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