Gum Arabic authentication and mixture quantification by near infrared spectroscopy

Research output: Contribution to journalJournal articleResearchpeer-review

A rapid and reliable method is developed for Gum Arabic authentication based on Near Infrared (NIR) spectroscopy and chemometric methods. On a large industrial collection of authentic gum Arabics, the two major Acacia gum species, Acacia senegal and Acacia seyal could be assigned perfectly by the NIR spectroscopic method. In addition, a partial least squares (PLS) regression model is calibrated to predict the blending percentage of the two pure gum types, producing an accuracy, root mean square error of cross validation (RMSECV) of 2.8%. Sampling of the Gum Arabic ‘tears’ is discussed, and it was determined that subsamples from three ‘tears’ is required for a representative result. It is concluded that NIR spectroscopy is a very powerful and reliable method for authenticity testing of Gum Arabic species.

Original languageEnglish
JournalFood Control
Pages (from-to)144-149
Number of pages6
Publication statusPublished - 2017

    Research areas

  • Acacia senegal, Acacia seyal, Gum Arabic, Near infrared (NIR) spectroscopy, Partial least squares (PLS) regression, Principal component analysis (PCA), Sampling of ‘tears’

ID: 176653574