Original scientific paper
https://doi.org/10.17113/ftb.58.01.20.6239
Application of Spectrophotometric Fingerprint in Cluster Analysis for Starch Origin Determination
Nikola Sakač
; University of Zagreb, Faculty of Geotechnical Engineering, Hallerova 7, HR-42000 Varaždin, Croatia
Maja Karnaš
; Josip Juraj Strossmayer University of Osijek, Faculty of Agriculture, Vladimira Preloga 1, 31000 Osijek, Croatia
Jasminka Dobša
; University of Zagreb, Faculty of Organization and Informatics, Pavlinska 2, 42000 Varaždin, Croatia
Marija Jozanović
; Josip Juraj Strossmayer University of Osijek, Department of Chemistry, Cara Hadrijana 8/A, 31000 Osijek, Croatia
Vlatka Gvozdić
; Josip Juraj Strossmayer University of Osijek, Department of Chemistry, Cara Hadrijana 8/A, 31000 Osijek, Croatia
Elvira Kovač-Andrić
; Josip Juraj Strossmayer University of Osijek, Department of Chemistry, Cara Hadrijana 8/A, 31000 Osijek, Croatia
Marija Kraševac Sakač
; Josip Juraj Strossmayer University of Osijek, Department of Chemistry, Cara Hadrijana 8/A, 31000 Osijek, Croatia
Bojan Šarkanj
; University North, Dr Žarko Dolinar Square 1, 43000 Koprivnica, Croa
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 (λmax/nm), maximum absorbance change at λmax (ΔA) and λmax 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
starch botanical origin; starch-triiodide complex; cluster analysis
Hrčak ID:
237527
URI
Publication date:
28.4.2020.
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