红外偏振辐射模型对铬和铜元素的优化识别
Optimal identification of chromium and copper by an infrared polarized radiation model
徐将 1姚明印 2王晓 2万敏杰3
作者信息
- 1. 江西农业大学 工学院,江西 南昌 330045;江西农业大学 江西省生物光电及应用重点实验室,江西 南昌 330045;南京理工大学 电子工程与光电技术学院,江苏 南京 210094
- 2. 江西农业大学 工学院,江西 南昌 330045;江西农业大学 江西省生物光电及应用重点实验室,江西 南昌 330045
- 3. 南京理工大学 电子工程与光电技术学院,江苏 南京 210094
- 折叠
摘要
针对优化激光诱导击穿光谱技术识别铬和铜元素的问题,本文提出了一种结合红外偏振检测理论的方法.利用菲涅尔反射定律和基尔霍夫理论分析了红外偏振产生机理,根据能量守恒定律验证了目标红外自发热辐射的偏振特性;利用红外偏振辐射传输模型及菲涅尔反射穆勒矩阵,结合温度的麦克斯韦-玻尔兹曼分布特性,推导出了等离子体红外偏振辐射信号模型,用于识别各激发能量下的重金属元素;利用 5 种不同能量的脉冲激光验证了模型的精准性.结果表明:在相同的激光能量下,红外偏振辐射光谱可以收集到更多的特征信号峰;在低能量激励下,红外偏振辐射光谱的优势更为突出.红外偏振辐射模型的构建是科学有效的,可用于优化重金属元素的快速检测.
Abstract
To optimize the identification of chromium and copper elements using laser-induced breakdown spectros-copy technology,a method combining infrared(IR)polarization detection theory is proposed in this paper.The generation mechanism of IR polarization was analyzed by using the Fresnel reflection law and Kirchhoff theory.The polarization characteristics of the target's IR spontaneous thermal radiation were verified in accordance with the energy conservation law.Furthermore,the plasma IR-polarized radiation signal model was derived to identify heavy-metal elements at each excitation energy based on the IR-polarized radiation transmission model and Fresnel reflection Mueller matrix,combined with the Maxwell Boltzmann distribution characteristics.The accuracy was ver-ified by five different energy-pulsed lasers.The results reveal that the IR-polarized radiation spectrum collected more characteristic signal peaks under the same laser energy,and this advantage was more prominent under low-energy excitation.Thus,the IR-polarized radiation model is a scientific and effective approach that can be used to optimize the rapid detection of heavy metals.
关键词
红外偏振/辐射模型/重金属/特征信号/激光诱导击穿光谱/菲涅尔反射定律/脉冲激光/穆勒矩阵Key words
infrared polarization/radiation model/heavy metal/characteristic signal/laser-induced breakdown spectroscopy/Fresnel reflection law/pulse laser/Mueller matrix引用本文复制引用
基金项目
国家自然科学基金项目(31772072)
江西省教育厅科技计划(GJJ190244)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据