Chem. J. Chinese Universities ›› 2024, Vol. 45 ›› Issue (8): 20240157.doi: 10.7503/cjcu20240157

• Analytical Chemistry • Previous Articles     Next Articles

A Parameter Standardization-based Single Sample Calibration Method and Quantitative Analysis of Cement Based on Microwave Plasma Torch

SHAO Yibo1,2, YU Dengjie1,2, LI Yarui1,2, WEI Haoze1,2, JIN Wei1,2(), YU Bingwen1,2()   

  1. 1.Research Center for Analytical Instrumentation,Institute of Cyber?Systems and Control,College of Control Science and Engineering,Zhejiang University,Hangzhou 310058,China
    2.Research Center for Analytical Instruments and Intelligent Systems,Huzhou Institute of Zhejiang University,Huzhou 313002,China
  • Received:2024-04-01 Online:2024-08-10 Published:2024-05-20
  • Contact: JIN Wei, YU Bingwen E-mail:jinweimy@zju.edu.cn;yubingwen007@126.com
  • Supported by:
    the National Natural Science Foundation of China(62073287);the Science and Technology Program of Huzhou, China(2022YZ28)

Abstract:

Owing to the stringent requirements for low latency, safety, reliability and cost-effectiveness, there is no suitable technical approach available for online detection of industrial components currently. However, microwave plasma torch(MPT) has the advantages of direct injection, low cost, safety and reliability, which qualify for becoming an essential technique for industrial product online detection. Consequently, we designed experiments on cement composition analysis based on MPT. Meanwhile, as to limited standard samples we use single sample calibration(SSC) for quantitative analysis. However, the simple linear assumption underlying SSC is susceptible to fluctuations in plasma parameters leading to reduced accuracy. To address this issue, we propose an improved SSC algorithm based on parameter standardization(PS-SSC), which enhances the accuracy of SSC by modifying spectral line intensity through excitation temperature and electron number density adjustments. To evaluate the effectiveness of MPT-based rapid analysis combined with PS-SSC for cement composition analysis, we directly introduced GSB 08-2985-2013 standard cement powder aerosol into MPT and contrasted the effects of different methods. Compared to traditional SSC methodology, the PS-SSC method exhibited significant improvements: the determination coefficient R2 of the PS-SSC method was increased from ‒0.81—0.81 to 0.39—0.88, and the average relative error was increased from 4.39%—10.33% to 1.55%—5.83%. The average relative standard deviation increased from 2.89%—9.40% to 2.28%—6.50%, thus demonstrating its potential for online cement component detection.

Key words: Microwave plasma torch, Particulate mass direct injection, Single-sample calibration, Parameter standardization

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