李政, 潘兴富, 杨云. 职业卫生领域常见非金属化合物检测光谱法标准曲线稳定性分析[J]. 职业卫生与应急救援, 2022, 40(2): 222-224. DOI: 10.16369/j.oher.issn.1007-1326.2022.02.019
引用本文: 李政, 潘兴富, 杨云. 职业卫生领域常见非金属化合物检测光谱法标准曲线稳定性分析[J]. 职业卫生与应急救援, 2022, 40(2): 222-224. DOI: 10.16369/j.oher.issn.1007-1326.2022.02.019
LI Zheng, PAN Xingfu, YANG Yun. Stability analysis of spectrometric standard curve for conventional nonmetallic compounds in area of occupational health[J]. Occupational Health and Emergency Rescue, 2022, 40(2): 222-224. DOI: 10.16369/j.oher.issn.1007-1326.2022.02.019
Citation: LI Zheng, PAN Xingfu, YANG Yun. Stability analysis of spectrometric standard curve for conventional nonmetallic compounds in area of occupational health[J]. Occupational Health and Emergency Rescue, 2022, 40(2): 222-224. DOI: 10.16369/j.oher.issn.1007-1326.2022.02.019

职业卫生领域常见非金属化合物检测光谱法标准曲线稳定性分析

Stability analysis of spectrometric standard curve for conventional nonmetallic compounds in area of occupational health

  • 摘要:
      目的  通过汇总分析常见非金属化合物光谱检测法的标准曲线截距和斜率的稳定性,为实验室质量控制提供新的解决方案。
      方法  收集整理了2009—2021年8种职业卫生领域常见非金属化合物的标准曲线,使用SPSS软件对标准曲线的斜率和截距进行统计分析,对离群值进行原因分析并合理剔除。
      结果  以上几种标准曲线的斜率在同批次固体试剂下相对稳定,即使使用不同批次的水,对斜率的影响在95%置信区间内,仍可接受,但截距变化较大。当试剂重新配制后,同批次固体试剂的影响可忽略,所做的标准曲线具有良好的稳定性;当更换不同批次的固体试剂后,部分标准曲线的斜率会有变化。以氨为例拟合一条经验标准曲线,检验其相对标准偏差(RSD)为0.83% ~ 3.57%,回收率为94.7% ~ 98.6%,具有良好的准确度和回收率。
      结论  相同批次固体试剂下,8种常见非金属化合物光谱检测法的标准曲线均具有较高稳定性。这一特点可以作为在工作中质量控制的手段。

     

    Abstract:
      Objective  The spectrophotometric-curve intercept/slope stability of common nonmetallic compounds was analyzed to explore a new quality-control method in laboratory analysis.
      Methods  The data of standard curves of eight common nonmetallic compounds in the laboratory was collected and analyzed. Using SPSS software the statistical analysis on intercept/slope of the standard curve was performed, during which the outliers were scientifically diagnosed and properly removed.
      Results  The slopes of standard curves of 8 common nonmetallic compounds showed good consistency under the same batch of solid reagent. Even if different batches of water were used, the influence on the slope was still acceptable within 95% confidence interval, but the intercept had a big fluctuation. When the reagents were prepares freshly, the influence of same batch of solid reagents could be ignored and the standard curve showed good consistency. If prepared with different batch of solid reagents, the slope of some standard curves showed a certain fluctuation. Taking ammonia as an example, an empirical standard curve was fitted based on test results, and its relative standard deviations varied from 0.83% to 3.57% with the recovery rates varied from 94.7% to 98.6%, which indicated the method had good accuracy and recovery.
      Conclusion  The standard curves of eight common non-metallic compound spectral detection methods show higher consistency under the same batch solid, which can be used as a method for quality control in laboratory analysis of conventional nonmetallic compounds.

     

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