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1.浙江大学 控制科学与工程学院,浙江 杭州 310058
2.浙江大学湖州研究院 分析仪器及智能系统研究 中心,浙江 湖州 313000
3.湖州师范学院 工学院,浙江 湖州 313000
Received:19 February 2025,
Revised:2025-04-09,
Accepted:14 May 2025,
Published Online:20 October 2025,
Published:15 December 2025
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俞登捷,魏好泽,朱宗俊,吴文杰,金伟,于丙文.连续粉末直接进样MPT-OES快速测定玻璃纤维粉末元素含量的应用研究[J].分析测试学报,2025,44(12):2581-2586.
YU Deng-jie,WEI Hao-ze,ZHU Zong-jun,WU Wen-jie,JIN Wei,YU Bing-wen.Research on the Application of MPT-OES for Rapid Determination of Elemental Content in Glass Fiber Powder by Direct Powder Introduction[J].Journal of Instrumental Analysis,2025,44(12):2581-2586.
俞登捷,魏好泽,朱宗俊,吴文杰,金伟,于丙文.连续粉末直接进样MPT-OES快速测定玻璃纤维粉末元素含量的应用研究[J].分析测试学报,2025,44(12):2581-2586. DOI: 10.12452/j.fxcsxb.250219100.
YU Deng-jie,WEI Hao-ze,ZHU Zong-jun,WU Wen-jie,JIN Wei,YU Bing-wen.Research on the Application of MPT-OES for Rapid Determination of Elemental Content in Glass Fiber Powder by Direct Powder Introduction[J].Journal of Instrumental Analysis,2025,44(12):2581-2586. DOI: 10.12452/j.fxcsxb.250219100.
准确可靠且低成本的粉末元素在线分析方法对流程工业产品质量的提升和节能降耗具有重要意义。该文提出了一种新的连续粉末直接进样装置,无需压片或消解预处理,可直接将原始粉末样品引入微波等离子体炬进行原子发射光谱分析。使用200目的玻璃纤维粉末进行测试,根据粉末气溶胶的特点对炬管结构和实验条件进行优化,得到其中8种主要元素的测量相对标准偏差小于6.0%。使用9种不同成分的玻璃纤维粉末样品进行定量分析,得到验证集预测的平均相对误差在0.99%~5.87%之间。与其他类似的粉末快速/在线分析方法相比,取得了相似甚至更优的结果。该方法兼具快速性、准确性和低运维成本的优势,具有流程工业粉末元素成分在线分析的潜力。
An accurate,reliable,and low-cost online elemental analysis method for powders is significant for improving product quality and reducing energy consumption in process industries. This paper proposes a new continuous direct powder introduction device that eliminates the need for pelletizing or digestion pretreatment,allowing raw powder samples to be directly introduced into a microwave plasma torch for atomic emission spectroscopy analysis. Tests were conducted using 200-mesh glass fiber powder,and the torch structure and experimental conditions were optimized based on the characteristics of the powder aerosol. The relative standard deviation for the measurement of eight major elements was found to be less than 6.0%. Quantitative analysis was performed on 9 different glass fiber powder samples,with the predicted average relative error of the validation set ranging from 0.99% to 5.87%. Compared to other similar rapid/online powder analysis methods,it achieves similar or even better results. The method has the advantages of rapidity,accuracy and low operation and maintenance cost,so it has the potential of online analysis of process industrial powder elements.
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