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中国精品科技期刊2020
孟然,张晓东,杨雅华,等. 基于多元统计分析的曹妃甸区24份盐地碱蓬成分指标综合评价[J]. 食品工业科技,2021,42(15):78−84. doi: 10.13386/j.issn1002-0306.2020120135.
引用本文: 孟然,张晓东,杨雅华,等. 基于多元统计分析的曹妃甸区24份盐地碱蓬成分指标综合评价[J]. 食品工业科技,2021,42(15):78−84. doi: 10.13386/j.issn1002-0306.2020120135.
MENG Ran, ZHANG Xiaodong, YANG Yahua, et al. Comprehensive Evaluation of Component Indexes of 24 Samples of Suaeda salsa in Caofeidian District Based on Multivariate Statistical Analysis[J]. Science and Technology of Food Industry, 2021, 42(15): 78−84. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020120135.
Citation: MENG Ran, ZHANG Xiaodong, YANG Yahua, et al. Comprehensive Evaluation of Component Indexes of 24 Samples of Suaeda salsa in Caofeidian District Based on Multivariate Statistical Analysis[J]. Science and Technology of Food Industry, 2021, 42(15): 78−84. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020120135.

基于多元统计分析的曹妃甸区24份盐地碱蓬成分指标综合评价

Comprehensive Evaluation of Component Indexes of 24 Samples of Suaeda salsa in Caofeidian District Based on Multivariate Statistical Analysis

  • 摘要: 目的:以来自唐山市曹妃甸不同区域盐地碱蓬为研究对象,探究土壤盐分、速效养分与品质之间的关系,对盐地碱蓬成分指标进行综合评价。方法:通过测定水分、抗坏血酸、蛋白质、氨基酸、亚硝酸盐、总黄酮含量,进行了相关性分析、主成分分析以及聚类分析。结果:不同区域盐地碱蓬成分指标存在明显差异,其中亚硝酸盐含量差异最大,变异系数大于50%,水分含量差异最小,变异系数仅为1.83%。主成分分析结果表明抗坏血酸、黄酮和氨基酸含量是影响碱蓬品质的核心指标。系统聚类结果可知,曹妃甸8个区域盐地碱蓬可划分为3类,其中南堡区、一场及七场的盐地碱蓬品质较好,二场的盐地碱蓬品质最差。结合土壤盐分和速效养分结果分析,表明土壤盐分、速效钾含量高,能够显著提升盐地碱蓬蛋白质和亚硝酸盐含量,但抑制了总黄酮含量的积累。结论:建议盐地碱蓬栽培发展中着重关注土壤盐分和速效养分含量,本试验可为曹妃甸区盐地碱蓬质量评价提供可靠的分析方法与参考依据。

     

    Abstract: Objective: Taking Suaeda salsa from different areas of Caofeidian in Tangshan City as the research object to explore the relationship between soil salinity, available nutrients and quality, and evaluate the composition indexes of Suaeda salsa comprehensively. Methods: By measuring the content of water, ascorbic acid, protein, amino acid, nitrite, total flavonoids, correlation analysis, principal component analysis and cluster analysis were performed. Results: There were significant differences in the compositional indicators of Suaeda salsa in different regions. Among them, the content of nitrite had the largest difference, with a coefficient of variation greater than 50%, and the difference in content of water was the smallest, with a coefficient of variation of only 1.83%. The results of principal component analysis showed that the content of ascorbic acid, flavonoids and amino acids were the core indicators that affect the quality of Suaeda salsa. Combined with the results of hierarchical clustering, the 8 regions of Suaeda salsa in Caofeidian could be divided into 3 categories. Among them, the quality of Suaeda salsa in Nanpu District, No. 1 and No. 7 fields was better, and the quality of Suaeda salsa in No. 2 field was the worst. Combined with the analysis of the results of soil salt and available nutrients, it showed that the content of soil salt and available potassium were high, which could significantly increase the content of protein and nitrite of Suaeda salsa, but inhibited the accumulation of total flavonoids. Conclusion: It is suggest that the development of Suaeda salsa should pay more attention to content of soil salinity and available nutrient, and this research providing a reliable analysis method and reference basis for the quality evaluation of Suaeda salsa in Caofeidian district.

     

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