Evaluation of Ginger adulteration with beans using Attenuated Total Reflectance Fourier Transform Infrared spectroscopy and multivariate analysis

W. Terouzi, A. Oussama

Quantitative analysis of food adulterants is an important for health, wealth and economic issue that needs to be fast, simple and reliable. Attenuated Total Reflectance-Fourier Transform Mid Infrared Spectroscopy (ATR-FTMIR), combined with multivariate analysis, has been used to quantify the Beans content  in a binary mixture with Ginger. Blends of Ginger with different percentages (0–30%) of Beans were measured using ATR-FTMIR spectroscopy. Spectral and reference data were firstly analyzed by principal component analysis (PCA) to check outliers samples. Partial least square regression (PLSR) was used to establish calibration model.  Excellent correlation between ATR-FTIR analysis and studied blend samples was obtained R² = 0.99;  with Root Mean Square Errors of Prediction < 1.102, Limit of Detection 3.305%, and Relative Prediction Errors as low as 0.67. These results indicate that ATR-FTMIR spectroscopy combined with chemometrics (multivariate analysis) can be used for rapid prediction of Beans content in Ginger.