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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


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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

https://hrcak.srce.hr/237527

Publication date:

28.4.2020.

Article data in other languages: croatian

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