Via entropy analysis (EA) and systematic cluster analysis (SCA), multi-index chemometric analysis of 20 amino acids, trace elements, etc., of five green teas from Guizhou, China.

IF 4.3 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Libing Zhou, Chunli Huang
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引用次数: 0

Abstract

Background: Using a stoichiometric method, this study conducted a comprehensive evaluation of tea quality and categorization based on nutritional indicators such as amino acids and trace elements. Based on multiple indicators, including amino acids, trace elements, etc., the nutritional analysis of five green teas, namely Fanjingshan green tea, Guizhou green tea, Meitan green tea, Tiangui green tea and Xixiu green tea from Guizhou, China, was performed to determine the combustion heat, combustion stability, fat, crude fiber, ash, trace elements and amino acids of five kinds of green tea.

Results: The results showed that the order of combustion heat of the five types of green tea was Fanjingshan green tea > Xixiu green tea > Guizhou green tea > Meitan green tea > Tiangui green tea. The combustion heat of the five types of green tea was 3707.968-8670.937 J/g, among which the average combustion heat of Fanjingshan green tea was 8670.937 J/g and the energy was the highest. The results of gray pattern recognition were as follows: Guizhou green tea > Fanjingshan green tea > Tiangui green tea > Meitan green tea > Xixiu green tea. The crude fiber content (%) ranged from 11.13 to 14.63%, with an average content of 12.9975%, followed by Guizhou green tea, Fanjingshan green tea, Meitan green tea, Xixiu green tea, and Tiangui green tea. The fat content (%) was between 0.48% and 1.37%, with an average of 0.8635%, followed by Fanjingshan green tea > Guizhou green tea > Meitan green tea > Xixiu green tea > Tiangui green tea. The ash content (%) was between 4.83% and 5.53%, with an average content of 5.2182%, and decreased in the following order: Fanjingshan green tea > Tiangui green tea > Xixiu green tea > Guizhou green tea > Meitan green tea. Principal component analysis (PCA) revealed that the cumulative contribution ratio of the first three principal components was 88% >85%, and the first three principal components were selected to represent 88% of the 13 trace elements in the five types of green tea.Factor analysis (FA) revealed that the order of the contents of 19 amino acids, namely, CySO3H, Asp, Thr, Ser, Glu, Gly, Ala, (Cys)2, Val, Met, Ile, Leu, Tyr, Phe, His, Lys, NH4, Arg and Pro, in the 5 green teas was Tiangui green tea > Fanjingshan green tea > Meitan green tea > Guizhou green tea > Xixiu green tea. The ratio of essential amino acid content to total amino acid content was 10.61-18.14%, and the ratio of essential amino acid content to nonessential amino acid content was 11.87-22.15%. Tiangui green tea had the highest amino acid content. The order of comprehensive evaluation of food nutrition using the entropy method (EA) was as follows: Fanjingshan green tea > Tiangui green tea > Guizhou green tea > Meitan green tea > Xixiu green tea. According to the analysis of these indicators, the most common food source was Fanjingshan green tea. Systematic cluster analysis (SCA) of the samples revealed that the five green teas were clustered into three classes. Systematic cluster analysis (SCA) for variables based on different indicators revealed that the 37 variables could be categorized into five groups. This study has important theoretical and practical significance for the determination and comprehensive evaluation of multiple indicators for green tea, which can provide a scientific basis and research significance for nutritional, health, and classification studies of green tea in Guizhou, China.

通过熵分析(EA)和系统聚类分析(SCA),对中国贵州5种绿茶的20种氨基酸和微量元素等进行了多指标化学计量分析。
背景:本研究采用化学计量学方法,基于氨基酸、微量元素等营养指标对茶叶品质进行综合评价和分类。基于氨基酸、微量元素等多项指标,对中国贵州的樊井山绿茶、贵州绿茶、梅坛绿茶、天桂绿茶、西秀绿茶等5种绿茶进行了营养分析,测定了5种绿茶的燃烧热、燃烧稳定性、脂肪、粗纤维、灰分、微量元素和氨基酸。结果:5种绿茶的燃烧热大小顺序为梵净山绿茶、西秀绿茶、贵州绿茶、梅坛绿茶、天桂绿茶。五种绿茶的燃烧热为3707.968-8670.937 J/g,其中梵净山绿茶的平均燃烧热为8670.937 J/g,能量最高。灰色模式识别结果为:贵州绿茶bb0梵净山绿茶bb1天桂绿茶bb2梅坛绿茶bb3西秀绿茶bb3。粗纤维含量(%)为11.13 ~ 14.63%,平均含量为12.9975%,其次为贵州绿茶、梵净山绿茶、湄潭绿茶、西秀绿茶和天桂绿茶。脂肪含量(%)在0.48% ~ 1.37%之间,平均为0.8635%,其次为梵净山绿茶bb0贵州绿茶bb1梅坛绿茶bb2西秀绿茶bb3天桂绿茶。灰分含量(%)在4.83% ~ 5.53%之间,平均含量为5.2182%,灰分含量的递减顺序为:梵净山绿茶bb0天桂绿茶bb1西秀绿茶bb2贵州绿茶bb3梅坛绿茶。主成分分析(PCA)表明,前3个主成分的累积贡献率为88% ~ 85%,选择前3个主成分代表了5种绿茶中13种微量元素的88%。因子分析(FA)显示,5种绿茶中CySO3H、Asp、Thr、Ser、Glu、Gly、Ala、(Cys)2、Val、Met、Ile、Leu、Tyr、Phe、His、Lys、NH4、Arg、Pro 19种氨基酸的含量顺序为天桂绿茶、Fanjingshan绿茶、bb1美坛绿茶、bb2贵州绿茶、bb3西秀绿茶。必需氨基酸含量与总氨基酸含量之比为10.61 ~ 18.14%,必需氨基酸含量与非必需氨基酸含量之比为11.87 ~ 22.15%。其中,天桂绿茶氨基酸含量最高。采用熵值法(EA)对食品营养进行综合评价的顺序为:梵净山绿茶、天桂绿茶、贵州绿茶、梅坛绿茶、西秀绿茶。根据这些指标分析,最常见的食物来源是梵净山绿茶。样品的系统聚类分析(SCA)显示,这五种绿茶被聚为三类。根据不同指标对变量进行系统聚类分析(SCA),将37个变量划分为5类。本研究对绿茶多项指标的确定和综合评价具有重要的理论和现实意义,可为贵州绿茶的营养、保健和分类研究提供科学依据和研究意义。
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来源期刊
BMC Chemistry
BMC Chemistry Chemistry-General Chemistry
CiteScore
5.30
自引率
2.20%
发文量
92
审稿时长
27 weeks
期刊介绍: BMC Chemistry, formerly known as Chemistry Central Journal, is now part of the BMC series journals family. Chemistry Central Journal has served the chemistry community as a trusted open access resource for more than 10 years – and we are delighted to announce the next step on its journey. In January 2019 the journal has been renamed BMC Chemistry and now strengthens the BMC series footprint in the physical sciences by publishing quality articles and by pushing the boundaries of open chemistry.
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