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    LIBS检测垃圾焚烧飞灰中重金属的影响因素研究

    Research on Factors Influencing LIBS Detection of Heavy Metals in MSWI Fly Ash

    • 摘要: 垃圾焚烧发电是我国目前主流的城市垃圾处理方式,城市垃圾焚烧产生大量垃圾焚烧飞灰,垃圾焚烧飞灰中富含大量重金属,且种类多、含量变化大,传统的检测方法如电感耦合等离子体-质谱法(ICP-MS)检测周期长,无法满足实时测量的需求。因此,亟需一种针对垃圾焚烧飞灰中重金属的在线快速检测技术。激光诱导击穿光谱技术(LIBS)是一种有潜力的垃圾焚烧飞灰中重金属在线检测方法,常被应用于气体检测、土壤检测、水质检测、冶金分析等领域。然而,组分复杂的样品存在严重的基体效应,严重影响了LIBS定量分析精度,阻碍LIBS进一步发展推广。本文应用激光诱导击穿光谱技术对垃圾焚烧飞灰中的Cu、Zn、Pb、Cr进行定量分析,研究了影响实验过程中光谱稳定性、基体效应的因素,并构建物理修正基体效应模型结合单变量模型用于定量分析。结果表明,加入50 wt% KCl可以增强垃圾焚烧飞灰样品自身的粘结性和机械性能,从而降低等离子体的波动,提高光谱稳定性,有利于提升定量精度。利用物理修正基体效应模型能一定程度校正基体效应提高定量精度,如Zn单变量模型R2从0.747提高至0.972,ARE从36.67%降低到了3.90%,但其仅校正了基体间Ca含量差异,存在一定局限性,Cu、Mn、Cr定量精度还存在一定的提升空间。因此,在物理修正基体效应模型中引入偏最小二乘法(PLSR),通过多元素共同校正基体效应可进一步提高定量的精度,如Zn元素训练集拟合系数为0.995,AREC为3.69%,测试集拟合系数为0.996,AREP为3.33%。研究结果将促进LIBS技术在垃圾焚烧飞灰重金属检测领域的推广应用。

       

      Abstract: Municipal solid waste incineration is the dominant waste treatment method in China, generating significant amounts of fly ash that are rich in heavy metals with varying types and concentrations. Traditional methods like ICP-MS are time-consuming and unsuitable for real-time monitoring, necessitating the development of an online in-situ detection technique. Therefore, there is a critical need for the development of rapid, online detection techniques for heavy metals in municipal solid waste incineration fly ash. Laser Induced Breakdown Spectroscopy (LIBS) has emerged as a promising analytical method for the real-time monitoring of heavy metals in municipal solid waste incineration(MSWI) fly ash. This technique has been successfully applied across various fields, including gas analysis, soil characterization, water quality assessment, and metallurgical processes, but matrix effects from complex sample compositions significantly hinder its quantitative accuracy. This study applied LIBS for the quantitative analy

       

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