• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   DSpace@IZTECH
  • 9. Araştırma Çıktıları / Research Outputs
  • WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
  • View Item
  •   DSpace@IZTECH
  • 9. Araştırma Çıktıları / Research Outputs
  • WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Rapid detection of green-pea adulteration in pistachio nuts using Raman spectroscopy and chemometrics

Thumbnail

View/Open

Makale (Article) (1.438Mb)

Access

info:eu-repo/semantics/closedAccess

Date

2021-03

Author

Taylan, Osman
Çebi, Nur
Yılmaz, Mustafa Tahsin
Sağdıç, Osman
Özdemir, Durmuş
Balubaid, Mohammed

Metadata

Show full item record

Abstract

BACKGROUND 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.

Source

Journal of The Science of Food And Agriculture

URI

https://doi.org/10.1002/jsfa.10845
https://hdl.handle.net/11147/10109

Collections

  • Chemistry / Kimya [324]
  • PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection [498]
  • Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection [4689]
  • WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection [4802]



DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 




| Policy | Guide | Contact |

DSpace@IZTECH

by OpenAIRE
Advanced Search

sherpa/romeo

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeInstitution AuthorThis CollectionBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeInstitution Author

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 


| Policy | | Guide | Library | idealdspace University | OAI-PMH |

IYTE, İzmir, Turkey
If you find any errors in content, please contact:

Creative Commons License
idealdspace University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

DSpace@IZTECH is member of:



DSpace Release 6.2