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dc.contributor.authorTaylan, Osman
dc.contributor.authorÇebi, Nur
dc.contributor.authorYılmaz, Mustafa Tahsin
dc.contributor.authorSağdıç, Osman
dc.contributor.authorÖzdemir, Durmuş
dc.contributor.authorBalubaid, Mohammed
dc.date.accessioned2021-02-12T18:47:17Z
dc.date.available2021-02-12T18:47:17Z
dc.date.issued2021-03
dc.identifier.issn0022-5142
dc.identifier.issn1097-0010
dc.identifier.urihttps://doi.org/10.1002/jsfa.10845
dc.identifier.urihttps://hdl.handle.net/11147/10109
dc.descriptionPubMed: 33006383en_US
dc.description.abstractBACKGROUND Ground pistachio nut is prone to adulteration because of its high economic value and wide usage. Green pea is known as the main adulterant in frauds involving pistachio nuts. The present study developed a new, rapid, reliable and low-cost methodology by using a portable Raman spectrometer in combination with chemometrics for the detection of green pea in pistachio nuts. RESULTS Three different methods of Raman spectroscopy-based chemometrics analysis were developed for the determination of green-pea adulteration in pistachio nuts. The first method involved the development of hierarchical cluster analysis (HCA) and principal component analysis (PCA), which differentiated authentic pistachio nuts from green pea and green pea-adulterated samples. The best classification pattern was observed in the adulteration range of 20-80% (w/w). In addition to classification methods, partial least squares regression (PLSR) and genetic algorithm-based inverse least squares (GILS) were also used to develop multivariate calibration models to determine quantitatively the degree of green-pea adulteration in grounded pistachio nuts. The spectral range of 1790-283 cm(-1)was used in the case of multivariate data analysis. A green-pea adulteration level of 5-80% (w/w) was successfully identified by PLSR and GILS. The correlation coefficient of determination (R-2) was determined as 0.91 and 0.94 for the PLSR and GILS analyses, respectively. CONCLUSION A Raman spectrometer combined with chemometrics has a high capability with regard to the detection of adulteration in pistachio nuts, combined with low cost, strong reliability, a high level of accuracy, rapidity of analysis, and minimum sample preparation.en_US
dc.description.sponsorshipDeanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah [D1441-14-135]en_US
dc.description.sponsorshipThis project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant no. (D1441-14-135). The authors, therefore, acknowledge with thanks, DSR technical and financial support.en_US
dc.language.isoengen_US
dc.publisherWILEYen_US
dc.relation.isversionof10.1002/jsfa.10845en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPortable Ramanen_US
dc.subjectPistachio nuten_US
dc.subjectHierarchical cluster analysis (HCA)en_US
dc.subjectPrincipal component analysis (PCA)en_US
dc.subjectPartial least squares (PLSR)en_US
dc.subjectGenetic inverse least squares (GILS)en_US
dc.titleRapid detection of green-pea adulteration in pistachio nuts using Raman spectroscopy and chemometricsen_US
dc.typearticleen_US
dc.contributor.institutionauthorÖzdemir, Durmuş
dc.relation.journalJournal of The Science of Food And Agricultureen_US
dc.contributor.departmentIzmir Institute of Technology. Chemistryen_US
dc.identifier.wosWOS:000579892700001
dc.identifier.scopusSCOPUS:2-s2.0-85092929428
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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