신속한 사과 전분 정량을 위한 영상 분석용 전분지수

길복임¹, 조용진²^,^*

Starch Index Derived from Stained Images for Rapid Quantification of Starch in Apples

Bogim Gil1¹, Yong-Jin Cho²^,^*

¹안양대학교 식품영양학과

²한국식품연구원

¹Department of Food and Nutrition, Anyang University

²Korea Food Research Institute

^*Corresponding author: Yong-Jin Cho, Head, Food Nano-Biotechnology Research Center, Korea Food Research Institute, Seongnam 463-746, Korea. Tel: +82-31-780-9136; Fax: +82-31-780-9257, E-mail: yjcho@kfri.re.kr

ⓒ Copyright 2012 Korean Society for Food Engineering. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Jan 17, 2012; Revised: Feb 03, 2012; Accepted: Feb 03, 2012

Published Online: Feb 28, 2012

Abatract

Starch content in apples is one of important quality parameters to evaluate their maturity or ripeness. This study aimed to develop a rapid and simple method for the quantification of starch content by means of computer vision. In advance, three types, or type I, type II and type III, of starch indices to indicate starch content in apples stained with KI/I₂ solution were proposed. When the proposed starch indices were correlated with total starch content and amylose content, the type I of starch index indicated total starch content of three types of starch indices. The type I index was defined as the ratio of the area with pure blue to the total area in an Hue-Lightness-Saturation (HLS) image for apple stained with KI/I₂. When the total starch content was particularly expressed on a dry basis, the highest correlation coefficient (0.811) was observed.

Keywords: starch index; image; rapid quantification; apple