Original scientific paper

https://doi.org/10.5513/JCEA01/18.4.1978

Nondestructive detection and biochemical quantification of buckwheat leaves using visible (VIS) and near-infrared (NIR) hyperspectral reflectance imaging

Oksana SYTAR ; Department of Plant Physiology, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovak Republic2SRL
Klaudia BRÜCKOVÁ ; Department of Plant Physiology, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovak Republic
Marek KOVÁR ; Department of Plant Physiology, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovak Republic
Marek ŽIVČÁK ; Department of Plant Physiology, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovak Republic
Irene HEMMERICH ; Department of Food Biotechnology and Food Process Engineering, Institute of Food Technology and Food Chemistry TU Berlin, Königin-Luise Str. 22, 14195 Berlin, Germany
Marián BRESTIČ ; Department of Plant Physiology, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovak Republic

Abstract

The present experimental study has been investigated way of use methodology of nondestructive detection with hyperspectral reflectance imaging together with wet chemistry quantitative analysis based on correlation analysis of receiving data. Higher correlation from reflectance of hyperspectral imaging analysis and total polyphenol and anthocyanin content has been observed for carotenoid reflectance index-2 compared to the carotenoid reflectance index-1. It was found that high total polyphenols content is related with high values of hyperspectral indices which characterize chlorophyll concentration and parameters of vegetation. In experimental buckwheat cultivars presence of vanillic, methoxycinnamic, cinnamic acids can be expressing by anthocyanin reflectance index, modified anthocyanin reflectance index and carotenoid reflectance index-2 because high correlation coefficient. Changes of chlorogenic acid during the vegetative period of plant growth can be studied with normalized difference vegetation index and normalized difference vegetation index-2 which found to have a positive correlation with this phenolic acid content.

Keywords

anthocyanins; hyperspectral index; hyperspectral reflectance imaging; phenolic acids, polyphenols

Hrčak ID:

189838

URI

https://hrcak.srce.hr/189838

Publication date:

1.12.2017.

Article data in other languages: slovak

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