• 中文核心期刊
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乌龙茶和绿茶成分分析标准物质复研制

Redevelopment of Oolong Tea and Green Tea Component Analysis Reference Materials

  • 摘要: 20世纪80年代至今,中国已研制了9种茶叶成分标准物质。中国地质调查局于2004年下达中国地质科学院地球物理地球化学勘查研究所研制的一套适用于覆盖区农业生态地球化学评价的生物地球化学系列标准物质,其中包括两种茶叶标准物质,定值组分60余项,包括植物营养元素、有毒、有害元素和重金属污染元素以及人们关心的一些微量营养元素等,满足了相关食品卫生安全及生物样品成分检验分析的需要,取得了显著的社会效益。随着农业生态地质调查工作全面部署和展开,对生物样品的分析测试任务加大,对相应地球化学标准物质的需求也随之增加。本文复制了GBW10016a和GBW10052a两种茶叶标准物质,候选物分别为福建武夷山乌龙茶和江西上饶市婺源绿茶。研制过程严格按照JJG 1006—1994、JJF 1343—2012和JJF1646—2017等相关规范要求,侯选物经粗碎、干燥、细碎、过筛、混匀等步骤制备而成,经统计学检验,样品均匀,稳定性良好,定值采用多家实验室合作定值的方式进行,优选国内技术实力较强、仪器设备先进、且有相关标准物质定值测试经验的11家实验室,采用电感耦合等离子体质谱/发射光谱法(ICP-MS/OES)、原子荧光光谱法(AFS)等准确可靠的方法共分析61项指标。GBW10016a最终给出认定值54项,参考值3项;GBW10052a定值57项,参考值3项。本次研制的茶叶标准物质定值成分多样、量值准确可靠,符合国家一级标准物质的要求。与原批次标准物质相比,GBW10016a定值指标增加了Ag和Sn,Ge和Tl由原批次的参考值升级为标准值;GBW10052a增加了Al、Ag、Cl、I、N、S、Sb、Sc、Si及Sn由原批次的参考值升级为标准值。本次复研制的标准物质,在同类型中占据重要地位,研制过程严格按照相关规范执行,测试方法经典可靠,定值结果准确度高,于2019年被审批为国家一级标准物质,能够有效支撑农业生态环境地球化学调查与评价、生物样品的分析及食品与农产品分析测试的需要。

     

    Abstract:
    BACKGROUND With the comprehensive development of the agricultural ecological geological survey and the improvement of people's attention to the ecological environment in our country, the demand for biogeochemical reference materials in biological analysis food analysis and agricultural products analysis is increasing. The existing biogeochemical reference materials are in short supply, and there is an urgent need to develop new reference materials. With the full deployment and development of agro-ecological geological surveys, the demand for biogeochemical reference materials is increasing.
    OBJECTIVES To reproduce tea composition reference materials (GBW10016a & GBW10052a) to take the place of old tea composition reference materials (GBW10016 & GBW10052).
    METHODS According to the development needs of geological surveys, the focus of this paper is on the preparation of two tea reference materials, GBW10016a and GBW10052a. The progress includes sampling, processing and preparation, particle size test, uniformity test, stability test, content test, and calculation of identification value and uncertainty.In the sampling process, the sample collection locations are Wuyishan City, Fujian Province and Wuyuan County, Shangrao City, Jiangxi Province. The candidates are oolong tea and green tea. The tea samples both weigh 400kg.In the processing and preparation, the samples were cleaned, freeze-dried, heated and dried, ball milled, screened, sub-packed and inactivated. In the particle size test, the BT-9000s laser particle size distributor was used to test the particle size of the samples. The particle size of GBW10016a & GBW10052a centrally distributed in the range of 75μm to 200μm, and the cumulative distribution content reached 98% in the range of 175μm to 200μm.In the uniformity testing process, 15 bottles of samples were randomly selected for analysis of more than 30 elements. The analysis results show that the relative standard deviation of the elements is less than 7%, the measured values F in the variance test are less than the critical value F. It shows that the uniformity of the samples is acceptable.In the stability testing process, the short-term and long- term stability of the samples are good according to the analysis and testing in different time periods.In the content testing process, a total of 61 indicators were analyzed by accurate and reliable methods such as inductively coupled plasma-mass spectrometry/optical emission spectrometry (ICP-MS/OES) and atomic fluorescence spectrometry (AFS) in multiple laboratories.In the process of calculation of identification value and uncertainty, the Grubbs algorithm and the Dixon algorithm were carried out to check and exclude individual out-group data in the group at the first step. The Cochrane algorithm was used to carry out precision testing at the second step. The Shapiro-Wilk algorithm was used to complete the data normality test.The whole preparation process of the tea reference materials follow three specifications: Technical Norm of Primary Reference Materials (JJG 1006—1994), General and Statistical Principles for Characterization of Reference Materials (JJF 1343—2012) and The Production of Reference Materials for Geoanalysis(JJF 1646—2017).
    RESULTS GBW10016a (GSB-7a) and GBW10052a (GSB-30a) tea reference materials are successfully reproduced, and have been approved as national first-class reference materials. The GBW10016a (GSB-7a) and GBW10052a (GSB-30a) are characterized by strong representativeness, multi-component planting, and accurate and reliable customization results. A total of 61 indicators are involved in this reproduction: Ag, Al, As, B, Ba, Be, Bi, Br, Ca, Cd, Ce, Cl, Co, Cr, Cs, Cu, Dy, Er, Eu, F, Fe, Gd, Ge, Hf, Hg, Ho, I, K, La, Li, Lu, Mg, Mn, Mo, N, Na, Nb, Nd, Ni, P, Pb, Pr, Rb, S, Sb, Sc, Se, Si, Sm, Sn, Sr, Tb, Th, Ti, Tl, Tm, U, V, Y, Yb, Zn. GBW10016a (GSB-7a) contains 54 elements with certified values and uncertainties, and 3 elements with reference values. GBW10052a (GSB-30a) contains 57 elements with certified values and uncertainties, and 3 elements with reference values. For GBW10016a (GSB-7a), Ag and Sn are added, and Ge and Tl are upgraded from the reference values of the original batch (GBW10016) to the certified values. For GBW10052a, Al, Ag, Cl, I, N, S, Sb, Sc, Si and Sn are upgraded from the reference values of the original batch (GBW10052) to the certified values. Due to the current level of analysis technology and objective conditions, the elements of Hf and Nb cannot be given reference values.
    CONCLUSIONS The reference materials effectively support the needs of geochemical investigation and evaluation of the agricultural ecological environment, analysis of biological samples and food and agricultural products. With the development of ecological environmental research and food safety and hygiene inspection, people pay more and more attention to the characteristic elements, and the requirements are increasing. Problems still exists in the analysis of biological samples, such as discrete analysis results of the same method between laboratories and systematic errors among the main analysis methods of individual elements. There are technical difficulties in the analysis of some elements. Analysis and testing technology needs to be continuously improved to cope with the characteristics of a special biological sample matrix, low composition content and difficult testing.

     

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