分析化学2026，Vol.54Issue(7)：1210-1217,8.DOI:10.19756/j.issn.0253-3820.261090
基于手持式激光诱导击穿光谱的铁合金中非金属元素碳定量分析方法研究
Quantitative Analysis of Carbon in Iron Alloys Based on Handheld Laser-Induced Breakdown Spectroscopy
摘要
Abstract
Carbon is a critical factor affecting the strength,plasticity,and weldability of steel.Rapid in situ quantitative detection of carbon in steel is an important task in steel testing.In this study,a handheld laser-induced breakdown spectroscopy(LIBS)instrument was used to analyze the carbon content in iron alloy samples.A rapid on-site quantitative analysis method was established by integrating baseline correction,spectral peak fitting,and piecewise fitting.The effects of four different baseline correction methods,including least squares,linear fitting,rolling ball algorithm,and Hermite interpolation,on quantitative results were compared and optimized.Gaussian and Lorentzian methods were employed for LIBS peak fitting,with the fitted peak height and peak area used as quantitative criteria.The results showed that after linear fitting combined with Lorentzian fitting of the LIBS spectra,the calibration curve based on peak area achieved a better coefficient of determination(R2=0.9686).Based on data preprocessing,segmented fitting was applied to the optimized calibration curve,further improving the calibration curve's linearity(R2=0.9756).The established quantitative method demonstrated good repeatability and accuracy for detecting carbon in iron alloys,with the absolute error(AE)ranging from 0.041%to 0.37%and the relative error(RE)between 4.74%and 32.73%.This study preliminarily verified that handheld LIBS could achieve rapid and accurate detection of key non-metallic elements in steel materials,providing meaningful insights for expanding the application prospects of handheld LIBS instruments.关键词
激光诱导击穿光谱/手持式/非金属/碳元素/定量分析/铁合金Key words
Laser-induced breakdown spectroscopy/Handheld/Nonmetal/Carbon element/Quantitative analysis/Iron alloys引用本文复制引用
裴宏亮,廖丹,曾冕,葛周恒,赵衍博,林庆宇,代渐雄,段忆翔..基于手持式激光诱导击穿光谱的铁合金中非金属元素碳定量分析方法研究[J].分析化学,2026,54(7):1210-1217,8.基金项目
国家自然科学基金项目(No.62475174)资助. Supported by the National Natural Science Foundation of China(No.62475174). （No.62475174）
