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Rapid determination of fructooligosaccharide in solar‑dried banana syrup by using near‑infrared spectroscopy

dc.contributor.authorUdomkun, P.
dc.contributor.authorRungpichayapichet, P.
dc.contributor.authorPhuangcheen, N.
dc.contributor.authorInnawong, B.
dc.date.accessioned2021-06-08T14:21:05Z
dc.date.available2021-06-08T14:21:05Z
dc.date.issued2021
dc.identifier.citationUdomkun, P., Rungpichayapichet, P., Phuangcheen, N. & Innawong, B. (2021). Rapid determination of fructooligosaccharide in solar-dried banana syrup by using near-infrared spectroscopy. Journal of Food Measurement and Characterization, 1-11.
dc.identifier.issn1932-7587
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7128
dc.description.abstractThe transformation of value-added solar-dried banana to banana syrup, which contains very high levels of fructooligosaccharides (FOS), is attractive. It has promising economic potential for the nutraceutical and functional food industry. In this study, the near-infrared (NIR) spectroscopy was used for the detection of 1-kestose (GF2), nystose (GF3), 1F-fructofuranosylnystose (GF4), and total FOS in solar-dried banana syrup in the spectral region of 4000–12,000 cm−1. Partial Least Squares (PLS) were applied to build the regression models. Considering the highest coefficient of determination (R2) and the lowest root mean square error (RMSE) of prediction, the prediction model of GF2 and GF3 yielded the greatest when original spectra at the optimization wavelength region was used. At the same time, the SNV procedure exhibited the best for the prediction model of GF4 and total FOS. Therefore, NIR spectroscopy with the PLS technique can be suitably applied for the rapid detection of FOS in solar-dried banana syrup.
dc.format.extent1-11
dc.language.isoen
dc.subjectNear Infrared Spetroscopy
dc.subjectBananas
dc.subjectSyrup
dc.subjectDetection
dc.subjectsolar drying
dc.titleRapid determination of fructooligosaccharide in solar‑dried banana syrup by using near‑infrared spectroscopy
dc.typeJournal Article
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationPanyapiwat Institute of Management
cg.contributor.affiliationSilpakorn University Food Innovation Hub
cg.coverage.regionAfrica
cg.coverage.regionAsia
cg.coverage.regionSoutheast Asia
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.countryThailand
cg.coverage.hubCentral Africa Hub
cg.researchthemeNutrition and Human Health
cg.identifier.bibtexciteidUDOMKUN:2021
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectBanana
cg.iitasubjectFood Science
cg.iitasubjectFood Security
cg.iitasubjectFood Systems
cg.iitasubjectNutrition
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Health
cg.iitasubjectPlant Production
cg.journalJournal of Food Measurement and Characterization
cg.notesPublished online: 20 April 2021
cg.accessibilitystatusLimited Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCopyrighted; all rights reserved
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1007/s11694-021-00911-z
cg.iitaauthor.identifierPatchimaporn Udomkun: 0000-0003-0115-1997
cg.futureupdate.requiredNo
cg.contributor.acknowledgementsThe authors gratefully acknowledge the Department of Food Technology, Silpakorn University and the International Institute of Tropical Agriculture (IITA) for giving the opportunity to prepare this article.


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