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Application of Spectrophotometric Fingerprint in Cluster Analysis for Starch Origin Determination

Nikola Sakač1*orcid tiny, Maja Karnaš2orcid tiny, Jasminka Dobša3orcid tiny, Marija Jozanović4*orcid tiny, Vlatka Gvozdić4orcid tiny, Elvira Kovač-Andrić4orcid tiny, Marija Kraševac Sakač4orcid tiny and Bojan Šarkanj5orcid tiny

1University of Zagreb, Faculty of Geotechnical Engineering, Hallerova 7, HR-42000 Varaždin, Croatia

2Josip Juraj Strossmayer University of Osijek, Faculty of Agriculture, Vladimira Preloga 1, 31000 Osijek, Croatia

3University of Zagreb, Faculty of Organization and Informatics, Pavlinska 2, 42000 Varaždin, Croatia

4Josip Juraj Strossmayer University of Osijek, Department of Chemistry, Cara Hadrijana 8/A, 31000 Osijek, Croatia

5University North, Dr Žarko Dolinar Square 1, 43000 Koprivnica, Croatia

Article history:

Received: 7 February 2019

Accepted: 10 March 2020

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Key words:

starch botanical origin, starch-triiodide complex, cluster analysis


The botanical origin of starch is of importance in industrial applications and food processingbecause it may influence the properties of the final product. Current microscopicmethods are time-consuming. Starch consists of an origin-dependent amylose/amylopectinratio. Triiodide ions bind characteristically to the amylose and amylopectin dependingon the botanical origin of the starch. The absorbance of the starch-triiodide complex wasmeasured for wheat, potato, corn, rye, barley, rice, tapioca and unknown origin starch,and within the different cultivars. Each starch sample had specific parameters: starch-triiodidecomplex peak wavelength maximum (λmax/nm), maximum absorbance change atλmaxA) and λmax shift towards the unknown origin starch sample values. The visible absorptionspectra (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 dataof two clusters, a cereal type cluster and a potato/tapioca/rice starch cluster. The cerealsubclusters extensively distinguished wheat/barley/rye starches from corn starches. Datafor cultivars were mostly in good agreement within the same subclaster. The proposedmethod that combines cluster analysis and visible absorbance data for starch-triiodidecomplex was able to distinguish starch of different botanical origins and cultivars withinthe same species. This method is simpler and more convenient than standard time-consumingmethods.

*Corresponding author: +385915830336

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