Gum Arabic authentication and mixture quantification by near infrared spectroscopy
Research output: Contribution to journal › Journal article › Research › peer-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.
|Number of pages||6|
|Publication status||Published - 2017|
- Acacia senegal, Acacia seyal, Gum Arabic, Near infrared (NIR) spectroscopy, Partial least squares (PLS) regression, Principal component analysis (PCA), Sampling of ‘tears’