摘要
目的随着工业化进程的加快,工业废水和废气中的重金属污染日益成为环境保护的一大挑战。本研究旨在利用电感耦合等离子体发射光谱法(Inductively Coupled Plasma Optical Emission Spectrometry,ICP-OES)对工业废水和废气中的重金属含量进行准确测定,以评估污染程度并为污染控制提供科学依据。方法本研究采集了不同工业区的废水和废气样本,并对样本进行了适当的预处理,包括过滤、酸化或吸收液的使用,以适应ICP-OES的分析要求。本研究采用电感耦合等离子体发射光谱仪Avio 200进行分析,根据HJ 776-2015标准,针对铜、锌、镍、铬四种重金属的检测进行了方法优化,包括分析参数的调整如功率、氩气流速和样品引入速率,以确保检测的灵敏度和准确度。结果通过本研究,我们采用单因子方差分析对实验室间比对样品测试流程进行了优化。结果表明,优化后的测试流程显著提高了对工业废水和废气中重金属(铜、锌、镍、铬)含量检测的灵敏度和准确度。条件B下的处理技术相较于条件A,在降低样品中的重金属含量方面表现更为有效,尤其是铜和锌的含量显著降低。结论本研究成功利用单因子方差分析优化了实验室间比对样品测试流程,为提高环境监测中重金属检测的准确性和效率提供了科学依据。
Objective With the acceleration of industrialization,heavy metal pollution in industrial wastewater and waste gas has increasingly become a major challenge for environmental protection.The aim of this study was to accurately determine the heavy metal content in industrial wastewater and waste gas by Inductively Coupled Plasma Optical Emission Spectrometry(ICP-OES).To evaluate the degree of pollution and provide scientific basis for pollution control.Methods In this study,wastewater and exhaust gas samples from different industrial zones were collected,and the samples were treated appropriately,including filtration,acidification,or the use of absorption solution,to adapt to the analytical requirements of ICP-OES.In this study,the inductively coupled plasma emission spectrometer Avio 200 was used for analysis.According to the HJ 776-2015 standard,the method optimization was carried out for the detection of four heavy metals including copper,zinc,nickel and chromium,including the adjustment of analysis parameters such as power,argon flow rate and sample introduction rate to ensure the sensitivity and accuracy of the detection.Results Through this study,we optimized the inter laboratory comparison sample testing process using single factor analysis of variance.The results indicate that the optimized testing process significantly improved the sensitivity and accuracy of detecting heavy metals(copper,zinc,nickel,and chromium)in industrial wastewater and exhaust gases.The treatment technology under Condition B,compared to Condition A,proved to be more effective in reducing the content of heavy metals in samples,especially for copper and zinc.Conclusion This study successfully utilized single factor analysis of variance to optimize the inter laboratory comparison sample testing process,providing a scientific basis for improving the accuracy and efficiency of heavy metal detection in environmental monitoring.
作者
麦笑芳
MAI Xiao-Fang(Shenzhen ecological Environment Monitoring Station Bao'an Branch Station,Shenzhen 518133,China)
出处
《实验室检测》
2024年第4期77-81,共5页
Laboratory Testing
关键词
单因子方差分析
实验室间比对
样品测试
测试流程优化
single factor analysis of variance
interlaboratory comparison
sample testing
test flow optimization
