Application of PLS based NIR spectroscopy as a non destructive technique for recognition of food

Abstract This paper deals with a simple, reliable and non-destructive spectroscopy technique for the recognition of beer samples during the ageing process. One of the major transformations might be the apparition of alcohol in beers that this fact is very important for the consumers. Therefore, there is a necessity for fast, reliable and simple analytical techniques for the goal of a quality control technique. For this purpose, near infrared (NIR) data is coupled to partial least square (PLS) regression to ageing detection of beer samples. Chemometric treatment of mid-infrared spectra is addressed for classification into alcoholic and non alcoholic groups. Based on the experiments, the results were satisfactory, in spite of the similarity of the spectra and this approach demonstrated the application capability of PLS based NIR in beer quality measurement and authentication.