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首页> 外文期刊>Biological trace element research >Biologically Active Substance Content in Edible Plants of Zakarpattia and Their Elemental Composition Model
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Biologically Active Substance Content in Edible Plants of Zakarpattia and Their Elemental Composition Model

机译:Zakarpattia的可食用植物生物活性物质含量及其元素组成模型

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摘要

Consumption of edible plants satisfies a significant part of human body needs in macro- and micronutrients while biologically active substances contain strong antioxidant properties and reduce the risk of a number of diseases. Balanced nutrition and design of personalized diets and treatment rely on the data on the content of macro- and micronutrients and biologically active substances. We determined polyphenol and anthocyanin content in 22 species of local edible plants using modified spectropho-tometric method with Folin-Ciocalteu reagent as well as chemical elements' content in a mixture of edible plants from 13 regions using standard procedures. We performed correlational analysis of the obtained data and analysis of the main components in OriginLab, developed regional models of chemical elements' content for a mixture of edible plants, and conducted cluster analysis using common tools in Python. The results of biologically active substances' study demonstrated that the highest content of polyphenolic compounds and anthocyanins was found in grape meal of Vitis vinifera L. The study of chemical elements' content demonstrated that edible plants from lowland areas are the best and revealed clear dependences of the elements on each other and geographical conditions. The analysis of the principal components confirmed this finding. Based on the obtained data, a number of regional models of chemical elements' content in a mixture of edible plants were built, tested, and evaluated. Obtained results are the basis for designing various diets, filling composite databases of the region's food, and creating the newest biologics-pharmabiotics.
机译:食用植物能满足人体对宏、微量营养素的大部分需求,而生物活性物质则具有很强的抗氧化性,可以降低许多疾病的风险。均衡营养和个性化饮食和治疗的设计依赖于宏、微量营养素和生物活性物质的含量数据。我们用Folin-Ciocalteu试剂改良分光光度法测定了22种当地食用植物中的多酚和花青素含量,并用标准程序测定了13个地区食用植物混合物中的化学元素含量。我们在OriginLab中对获得的数据进行了相关分析,并对主要成分进行了分析,开发了混合食用植物化学元素含量的区域模型,并使用Python中的常用工具进行了聚类分析。生物活性物质的研究结果表明,葡萄粕中的多酚化合物和花青素含量最高。化学元素含量的研究表明,低地地区的可食用植物是最好的,并且揭示了元素之间以及地理条件之间的明显依赖性。主成分分析证实了这一发现。基于所获得的数据,建立、测试和评估了多种食用植物混合物中化学元素含量的区域模型。所获得的结果是设计各种饮食、填充该地区食物的复合数据库以及创建最新生物制药的基础。

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