Application of Spectrophotometric Fingerprint in Cluster Analysis for Starch Origin Determination

Food Technol Biotechnol. 2020 Mar;58(1):5-11. doi: 10.17113/ftb.58.01.20.6239.

Abstract

The botanical origin of starch is of importance in industrial applications and food processing because it may influence the properties of the final product. Current microscopic methods are time-consuming. Starch consists of an origin-dependent amylose/amylopectin ratio. Triiodide ions bind characteristically to the amylose and amylopectin depending on the botanical origin of the starch. The absorbance of the starch-triiodide complex was measured for: wheat, potato, corn, rye, barley, rice, tapioca and unknown origin starch; and within the different cultivars. Each starch sample had specific parameters: starch-triiodide complex peak wavelength maximum (λ max/nm), maximum absorbance change at λ maxA) and λ max shift towards the unknown origin starch sample values. The visible absorption spectra (500-800 nm) for each starch sample were used as a unique fingerprint, and then elaborated by cluster analysis. The cluster analysis managed to distinguish data of two clusters, a cereal type cluster and a potato/tapioca/rice starch cluster. The cereal subclusters extensively distinguished wheat/barley/rye starches from corn starches. Data for cultivars were mostly in good agreement within the same subclaster. The proposed method that combines cluster analysis and visible absorbance data for starch-triiodide complex was able to distinguish starch of different botanical origins and cultivars within the same species. This method is simpler and more convenient than standard time-consuming methods.

Keywords: cluster analysis; starch botanical origin; starch-triiodide complex.