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Prediction Model of Secondary Substances in Anthocyanins Synthesis of Purple Corn
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作者 朱敏 史振声 +1 位作者 李凤海 王志斌 《Agricultural Science & Technology》 CAS 2010年第8期153-156,182,共5页
The aim of this study was to assay the polyphenols,flavonoid,polyphenol oxidase and phenylalnine ammonialyase which were relative to the anthocyanins synthesis of purple corn. The optimization of multiple linear regre... The aim of this study was to assay the polyphenols,flavonoid,polyphenol oxidase and phenylalnine ammonialyase which were relative to the anthocyanins synthesis of purple corn. The optimization of multiple linear regression model of anthocyanins synthesis was y=4.383 86-0.205 45x1+5.479 638x2+0.195 575x4. According to standard partial regression coefficient testing,the result indicated that polyphenols content was negatively correlated with anthocyanins and the relative influence to anthocyanins synthesis was-42.7%; flavonoid content and activity of polyphenol oxidase were positively correlated with anthocyanins of purple corn and the relative influence to anthocyanins synthesis were 71.45% and 73.32% respectively. There was no positive correlation between the activity of phenylalnine ammonialyase and anthocyanins of purple corn. The establishment of multiple linear regression model of anthocyanins synthesis was to provide theory foundation of producing anthocyanins in laboratory. 展开更多
关键词 Anthocyanins Flavonoid Multiple linear regression model Purple corn POLYPHENOLS Polyphenol oxidase Phenylalnine ammonialyase
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