Construction of a prediction model for anthocyanin content in red onion based on the CIELab color quantification system
KUAI Jialin
ZHANG Yuxin
MA Yanxia
CAI Zilong
CAO Yajun
YU Qingwen
Abstract：The types and accumulation levels of anthocyanins in red onion bulbs are different,so the appearance character-istics are different.In order to achieve a digital description of the color of red onion bulbs and establish a method for pre-dicting the anthocyanin content,this study utilized the CIELab color quantification system.By comparatively analyzing the relationship between color quantification indices and anthocyanin content in 30 long-day red onion bulbs,it was found that there was a highly significant positive correlation(p≤0.001)between the anthocyanin content of the bulbs and the color quantification indices Chroma and CIRG value.There was a highly positive correlation(p≤0.01)between the antho-cyanin content and the color quantification index a of the bulbs.There was a highly significant negative correlation(p≤0.001)between the anthocyanin content and the color quantification indices L and Hue of the bulbs.Based on these find-ings,an optimal regression model Y=1.552e1231Xfor rapidly predicting the anthocyanin content of onion bulbs was estab-lished.
Keywords：Red onionColor quantificationAnthocyaninPrediction model
Publication Date：2025-11-05
Online Publishing Date：2025-12-04(First online date of this platform, not the publication date of the document)
Pages：6( 127-132 )