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月季花瓣营养成分评价及主成分和聚类分析
引用本文:张孟琴,徐路,孙亚真,石建辉. 月季花瓣营养成分评价及主成分和聚类分析[J]. 食品与发酵工业, 2021, 0(2): 274-278
作者姓名:张孟琴  徐路  孙亚真  石建辉
作者单位:铜仁学院材料与化学工程学院;洛阳海关综合技术服务中心
基金项目:贵州省科技厅项目基金(黔科合支撑[2019]2383,黔科合平台人才[2020]5009);铜仁市科技平台项目基金(铜市科研[2019]03);贵州省重点实验室项目(黔科合平台人才[2020]2003号);铜仁市科技局科技支撑计划项目(铜市科研[2020]128号)。
摘    要:为探明不同品种月季花瓣营养成分间的差异和相关性,该研究对河南南阳地区10个不同栽培品种月季花瓣中的基本营养成分进行了测定,并结合化学计量学对各营养成分进行了分析评价.结果表明,所测品种中蛋白质和脂肪的平均含量分别为8.93%、1.28%(质量分数);矿物元素K、Ca、Mg、Na、Fe、Mn、Cu、Zn、Se等的平均含量...

关 键 词:月季花  营养成分  变异系数  主成分分析  聚类分析

The evaluation of nutrient component of rose petals and the principal component analysis from different varieties
ZHANG Mengqin,XU Lu,SUN Yazhen,SHI Jianhui. The evaluation of nutrient component of rose petals and the principal component analysis from different varieties[J]. Food and Fermentation Industries, 2021, 0(2): 274-278
Authors:ZHANG Mengqin  XU Lu  SUN Yazhen  SHI Jianhui
Affiliation:(College of Material and Engineering,Tongren University,Tongren 554300,China;Integrated Technical Service Center of Luoyang Customs,Luoyang 471003,China)
Abstract:To investigate the correlation between the nutrient contents of different species of Chinese rose petals,Kjeldahl nitrogen determination,inductively coupled plasma atomic emission spectroscopy(ICP-AES),and acid hydrolysis were employed to measure the principal nutrient contents in ten species of Chinese rose petals from Nanyang in Henan.Principal component analysis(PCA)and hierarchical cluster analysis(HCA)were then utilized to evaluate each nutrient.Using these methods,the average protein and fat levels across ten different species were 8.93%and 1.28%,respectively.The average contents of mineral elements K,Ca,Mg,Na,Fe,Mn,Cu,Zn,Se were 14459.41,2171.43,1692.21,53.04,93.31,30.98,3.70,20.89,0.87μg/g.However,there were statistically significant differences in the concentration of protein,fat,macroelements,and microelements across species.Moreover,the coefficient of variances of difference species were significantly different.PCA of each nutrient content resulted in a four-factor model,and the cumulative contribution rate of the four principal components was 83.24%.The ten species were categorized into 5 groups by PCA,which was consistent with the result obtained using HCA and indicating that PCA and HCA were suitable methods for classification of different Chinese rose species.The study thus provides scientific references and valuable insights for germ plasm screening,quality evaluation,integrated utilization,and product development of Chinese roses.
Keywords:Rosa chinensis  nutritional components  coefficient of variation  principal component analysis  hierarchical cluster analysis
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