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文摘
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建立了基于自适应核的激光诱导击穿光谱支持向量机回归定量分析模型。通过石墨富集、洛伦兹拟合和碳内标归一化,增强等离子体信号强度,减小环境噪声和能量抖动对水体重金属浓度测量的影响。实现了基于支持向量机回归智能算法的激光诱导击穿光谱定量分析。铅铜的平均相对标准偏差分别为6.4361%和6.9291%,最大相对标准偏差分别为9.1009%和8.9280%,平均相对误差分别为1.6765%和1.2478 %,最大相对误差分别为5.5759%和4.2604%,相关系数分别为0.9979和0.9997。该研究为进一步实现水中痕量金属元素的快速定量分析提供了方法和数据参考。 |
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其他语种文摘
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The quantitative analysis model of laser-induced breakdown spectroscopy with adaptive kernel is established. Effect of ambient noise and energy jitter in measured density of heavy metals is gradually removed by Lorentz fitting and carbon normalization, and the intensity of plasmas is enhanced by graphite enrichment. Quantitative analysis of laser-induced breakdown spectroscopy based on regression intelligent algorithm of support vector machine is achieved. The average relative standard deviations of lead and copper are 6.4361% and 6.9291%, and the maximum standard deviations are 9.1009% and 8.9280%.The average relative errors of lead and copper are 1.6765% and 1.2478 %, and the maximum relative errors are 5.5759% and 4.2604%. The correlation coefficients of lead and copper are 0.9979 and 0.9997. Methods and reference data are provided for the further study of fast measurement of trace heavy metals in water by laser-induced breakdown spectroscopy. |
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来源
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光学学报
,2013,33(3):0330002-1-0330002-6 【核心库】
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关键词
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光谱学
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激光诱导击穿光谱
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支持向量机回归
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重金属
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石墨
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地址
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中国科学院安徽光学精密机械研究所, 中国科学院环境光学与技术重点实验室, 安徽, 合肥, 230031
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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0253-2239 |
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学科
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化学 |
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基金
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国家自然科学基金
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国家重大科技专项
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文献收藏号
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CSCD:4801039
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