APPROACHES TO ADULTERATION DETECTION IN INSTANT COFFEES USING INFRARED-SPECTROSCOPY AND CHEMOMETRICS

Fourier transform infrared (FTIR) spectroscopy is examined as a rapid alternative to wet chemistry methods for the detection of adulteration of freeze-dried instant coffees. Spectra have been collected of pure coffees, and of samples adulterated with glucose, starch or chicory in the range 20-100 g kg(-1). Two different FTIR sampling methods have b een employed: diffuse reflectance, and attenuated total reflectance. T hree different statistical treatments of the spectra were carried out. Firstly, the spectra were compressed by principal component analysis and a linear discriminant analysis performed. With this approach, a 98 % successful classification rate was achieved. Secondly, a simultaneou s partial least square regression was carried out for the content of t hree added carbohydrates (xylose, glucose and fructose) in order to as sess the potential of FTIR spectroscopy for determining the carbohydra te profile of instant coffee. Lastly, the discrimination of pure from adulterated coffee was performed using an artificial neural network (A NN). A perfect rate of assignment was obtained. The generalization abi lity of the ANN was tested on an independent validation data set; agai n, 100% correct classifications were achieved.