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  • 标题:Application of Spectrophotometric Fingerprint in Cluster Analysis for Starch Origin Determination
  • 本地全文:下载
  • 作者:Sakač, Nikola ; Karnaš, Maja ; Dobša, Jasminka
  • 期刊名称:Food Technology and Biotechnology
  • 印刷版ISSN:1330-9862
  • 电子版ISSN:1334-2606
  • 出版年度:2020
  • 卷号:58
  • 期号:1
  • 页码:5-11
  • DOI:10.17113/ftb.58.01.20.6239
  • 出版社:Sveuciliste u Zagrebu - Faculty of Food
  • 摘要: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.
  • 关键词:starch botanical origin; starch;triiodide complex; cluster analysis
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