基于多元素含量测定与统计学方法鉴别我国不同产地核桃

发布时间：2018-04-18 05:25

本文选题：核桃 + 痕量　；参考：《中国林业科学研究院》2017年硕士论文

【摘要】：本文针对核桃样品建立了ICP-MS多元素测定方法和判别模型,为核桃地理标志产品的原产地保护提供一定的理论参考依据。通过建立微波消解-ICP-MS和微波灰化-ICP-MS方法,测定了核桃中35种元素,结合单因素方差分析、主成分分析(PCA)和线性判别分析(LDA)等方法,建立了不同地区核桃判别模型,并成功对核桃产地进行了鉴别。研究结果表明:(1)通过优化微波消解程序和ICP-MS仪器测定条件,建立了微波消解-ICP-MS测定核桃中19种微量和痕量元素的方法。方法检出限为0.047~78.4μg kg-1,加标回收率在85.7%~109.8%之间,其RSD在0.11%~2.2%之间,豆角标准物质(GBW10021)各元素测定值均在推荐值范围内,表明该方法测定核桃中19种元素可靠、稳定。(2)通过优化微波灰化前处理条件和ICP-MS仪器测定条件,建立了微波灰化-ICP-MS测定核桃中16种稀土元素的方法。16种稀土元素的检出限为0.00059~0.12μg kg-1,加标回收率在73.5%~110.9%之间,RSD范围为0.3%~19.7%之间,大豆标准物质(GBW10013)和豆角标准物质(GBW10021)中稀土元素测定值均在推荐值范围内,表明该方法的检出限和准确度都能满足多种稀土元素的测定。不同核桃样品中稀土元素测定结果表明,16种稀土元素总量为2.7~11.9μg kg-1,并且不同来源的样品中Sc、Y和La等元素含量差异较大。(3)应用微波消解-ICP-MS和微波灰化-ICP-MS方法测定了全国8个核桃主产省128份核桃样品中35种元素含量,对元素含量进行单因素方差分析、主成分分析(PCA)和线性判别分析(LDA)。比较发现,不同地区核桃样品中元素组成存在显著性差异(p0.05)。PCA能够反映出原始变量的大部分信息,但对不同地区核桃分类能力较弱;LDA能够筛选出与产地相关的元素指标,并分别建立了不同产地核桃判别模型和核桃地理标志与非地理标志产品判别模型,判别正确率分别达到99.2%和95.7%。
[Abstract]:In this paper, the multi-element determination method and discriminant model of ICP-MS for walnut samples were established, which provided a certain theoretical reference for the protection of the origin of walnut geographical indication products.The methods of microwave digestion (-ICP-MS) and microwave ashing (-ICP-MS) were established to determine 35 elements in walnut. Combined with the methods of single factor variance analysis, principal component analysis (PCA) and linear discriminant analysis (LDAA), the discriminant models of walnut in different areas were established.The walnut production area was identified successfully.The results showed that the microwave digestion program and the determination conditions of ICP-MS instrument were optimized. A method for the determination of 19 trace and trace elements in walnut by microwave digestion and ICP-MS was established.The detection limit was 0.047 ~ 78.4 渭 g / kg ~ (-1), the recovery rate was between 85.7% and 109.8%, the RSD was between 0.11% and 2.2%, and the determination value of bean bean reference material GBW10021 was within the recommended value, indicating that the method was reliable for the determination of 19 elements in walnut.The method for the determination of 16 rare earth elements in walnut by microwave ashing with ICP-MS was established. The detection limit of 16 rare earth elements was 0.00059 ~ 0.12 渭 g 路kg ~ (-1), and the recoveries were between 73.5% and 19.7%.The determination values of rare earth elements in soybean reference material GBW10013) and soybean standard material GBW10021) were within the recommended value range, which indicated that the detection limit and accuracy of the method could meet the determination of many rare earth elements.The results of determination of rare earth elements in different walnut samples showed that the total amount of 16 rare earth elements was 2.7 ~ 11.9 渭 g 路kg ~ (-1), and the contents of scroy and La in different source samples were quite different.) the total amount of total rare earth elements was determined by microwave digestion-ICP-MS and microwave ashing-ICP-MS.The contents of 35 elements in 128 walnut samples from 8 major producing provinces of China,Single factor ANOVA, principal component analysis (PCA) and linear discriminant analysis (LDAA) were performed for element content.It was found that there were significant differences in elemental composition in walnut samples from different areas. PCA could reflect most of the information of the original variables, but LDA could screen out the elements related to the origin of walnut in different areas.The discriminant models of walnut from different producing areas and the discriminant models of walnut geographical indications and non-geographical indications products were established respectively. The accuracy rates of distinguishing walnut were 99.2% and 95.7% respectively.
【学位授予单位】：中国林业科学研究院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：O657.63;TS255.6

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