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Near infrared spectrometry for rapid non-invasive modelling of Aspergillus-contaminated maturing kernels of maize (Zea mays L.)

dc.contributor.authorFalade, T.D.O.
dc.contributor.authorSultanbawa, Y.
dc.contributor.authorFletcher, M.T.
dc.contributor.authorFox, G.
dc.date.accessioned2019-12-04T11:10:50Z
dc.date.available2019-12-04T11:10:50Z
dc.date.issued2017-09-19
dc.identifier.citationFalade, T.D.O., Sultanbawa, Y., Fletcher, M.T. & Fox, G. (2017). Near infrared spectrometry for rapid non-invasive modelling of Aspergillus-contaminated maturing kernels of maize (Zea mays L.). Agriculture, 7(9), 1-13.
dc.identifier.issn2077-0472
dc.identifier.urihttps://hdl.handle.net/20.500.12478/2279
dc.descriptionOpen Access Journal
dc.description.abstractAflatoxin-producing Aspergillus spp. produce carcinogenic metabolites that contaminate maize. Maize kernel absorbance patterns of near infrared (NIR) wavelengths (800–2600 nm) were used to non-invasively identify kernels of milk-, dough- and dent-stage maturities with four doses of Aspergillus sp. contamination. Near infrared spectrometry (NIRS) spectral data was pre-processed using first derivative Savitzky-Golay (1d-SG) transformation and multiplicative scatter correction on spectral data. Contaminated kernels had higher absorbance between 800–1134 nm, while uninoculated samples had higher absorbance above 1400 nm. Dose and maturity clusters seen in Principal Component Analysis (PCA) score plots were due to bond stretches of combination bands, CH and C=O functional groups within grain macromolecules. The regression model at 2198 nm separated uninoculated and inoculated kernels (p < 0.0001, R2 = 0.88, root mean square error = 0.15). Non-invasive identification of Aspergillus-contaminated maize kernels using NIR spectrometry was demonstrated in kernels of different maturities.
dc.description.sponsorshipDepartment of Foreign Affairs and Trade, Australia
dc.description.sponsorshipCapacity and Action for Aflatoxin reduction in Eastern Africa
dc.format.extent1-13
dc.language.isoen
dc.subjectMaize
dc.subjectAspergillus
dc.subjectKarnels
dc.subjectAflatoxins
dc.subjectNear Infrared
dc.titleNear infrared spectrometry for rapid non-invasive modelling of Aspergillus-contaminated maturing kernels of maize (Zea mays L.)
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.crpMaize
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversity of Queensland
cg.coverage.regionAcp
cg.coverage.regionSouth America
cg.coverage.countryAustralia
cg.creator.identifierTitilayo Falade: 0000-0001-5562-7861
cg.researchthemeSOCIAL SCIENCE & AGRIBUSINESS
cg.identifier.urlhttp://www.mdpi.com/journal/agriculture
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectAflatoxin
cg.iitasubjectAgribusiness
cg.iitasubjectMaize
cg.journalAgriculture
cg.howpublishedFormally Published
cg.accessibilitystatusOpen Access
local.dspaceid91887
cg.targetaudienceScientists
cg.identifier.doihttp://dx.doi.org/10.3390/agriculture7090077


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