李沃颖, 卢嘉华, 黄惠燕, 周兆海. 电感耦合等离子体发射光谱法测定镍钴锰氢氧化物中硫酸根含量的不确定度评定[J]. 分析测试技术与仪器, 2019, 25(2): 135-140. DOI: 10.16495/j.1006-3757.2019.02.015
引用本文: 李沃颖, 卢嘉华, 黄惠燕, 周兆海. 电感耦合等离子体发射光谱法测定镍钴锰氢氧化物中硫酸根含量的不确定度评定[J]. 分析测试技术与仪器, 2019, 25(2): 135-140. DOI: 10.16495/j.1006-3757.2019.02.015
LI Wo-ying, LU Jia-hua, HUANG Hui-yan, ZHOU Zhao-hai. Uncertainty Analysis on Determination of Sulfate Radical in Nickel Cobalt Manganese Hydroxide by Inductively Coupled Plasma Atomic Emission Spectrometry[J]. Analysis and Testing Technology and Instruments, 2019, 25(2): 135-140. DOI: 10.16495/j.1006-3757.2019.02.015
Citation: LI Wo-ying, LU Jia-hua, HUANG Hui-yan, ZHOU Zhao-hai. Uncertainty Analysis on Determination of Sulfate Radical in Nickel Cobalt Manganese Hydroxide by Inductively Coupled Plasma Atomic Emission Spectrometry[J]. Analysis and Testing Technology and Instruments, 2019, 25(2): 135-140. DOI: 10.16495/j.1006-3757.2019.02.015

电感耦合等离子体发射光谱法测定镍钴锰氢氧化物中硫酸根含量的不确定度评定

Uncertainty Analysis on Determination of Sulfate Radical in Nickel Cobalt Manganese Hydroxide by Inductively Coupled Plasma Atomic Emission Spectrometry

  • 摘要: 采用电感耦合等离子体发射光谱法(ICP-OES)测定镍钴锰氢氧化物(三元正极材料NCM前驱体)中硫酸根含量.确定了适宜的测试条件,依据不确定度评定的方法,分析了不确定度来源、量化不确定度分量、计算检测结果的合成标准不确定度和扩展不确定度.结果表明,NCM前驱体中硫酸根的质量分数为2 709±88 mg/kg,样品加标回收率为97.5%~99.7%,相对标准偏差(RSD)为2.02%.方法简单、快速.

     

    Abstract: The content of sulfate radical in nickel cobalt manganese hydroxide(precursor of ternary anode material NCM) was tested by the inductively coupled plasma atomic emission spectrometry(ICP-OES) method. The appropriate test conditions were determined. Each source of uncertainty, arising from the procedure of testing, was analyzed and confirmed, according to the guidelines of the uncertainty in measurement. After each uncertainty component was evaluated, the combined standard uncertainty and the expanded uncertainty of the result were calculated. The results showed that the concentration of in precursor of ternary anode material(NCM) was 2709±88 mg/kg, spiked recovery of the samples was 97.5%-99.9%, the RSD of the method was 2.02%. The method is simple and efficient.

     

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