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不同气氛下飞灰含碳量的激光诱导击穿光谱分析 被引量:6

Quantitative Analysis of Unburned Carbon in Fly Ash by LaserInduced Breakdown Spectroscopy in Different Atmosphere
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摘要 利用激光诱导击穿光谱(LIBS)技术进行飞灰含碳量分析时常用的C I 247.86 nm谱线附近存在强烈的谱线干扰。位于深紫外区无干扰的C I 193.09 nm常用作分析谱线以避免谱线干扰,但该谱线在空气中会被氧气吸收而影响定量分析的准确性。为了进一步提高利用该谱线定量分析飞灰含碳量效果,在光谱仪中充入氩气并在等离子体区域用氩气吹扫,对比分析了两种气氛下采用C I 193.09 nm谱线定量分析飞灰含碳量的效果。研究结果表明,在氩气气氛下获得的谱线强度及其信噪比、重复测量精度和含碳量的检测限均有显著改善,两个检验样品的含碳量预测绝对误差分别降至0.02%和0.42%(质量分数),含碳量的检测限也降至0.37%(质量分数)。 The spectral line C I 247.86 nm which is widely used to analyze unburned carbon in fly ash by laser-induced breakdown spectroscopy(LIBS) shows strong spectrum interference. Another spectral line C I 193.09 nm located in deep ultraviolet area is frequently used to avoid the strong interference. However, it is strongly absorbed by oxygen in air, which affects the accuracy of quantitative analysis. In order to improve the performance of quantitative analysis by using C I 193.09 nm line, the spectrometer is filled with argon and the argon environment is formed in the region where the plasma emerges. The quantitative analysis results of unburned carbon in air and argon atmosphere by using C I 193.09 nm line are compared. The results indicate that the line intensity, signal- to- noise ratio, repeated measurement precision and limit of detection are improved significantly. Meanwhile, the absolute error between predicted concentration and actual concentration for two test samples is reduced to 0.02% and 0.42%(mass fraction),respectively in argon atmospheric environment, and the limit of detection is also reduced to a relatively low level of0.37%(mass fraction).
出处 《激光与光电子学进展》 CSCD 北大核心 2016年第4期234-239,共6页 Laser & Optoelectronics Progress
基金 国家自然科学基金(51206055 51476061) 广东特支计划科技青年拔尖人才(2014TQ01N334) 广州市珠江科技新星专项(2014J2200054) 国家重点实验室开放基金(SKL2013KF03)
关键词 光谱学 激光诱导击穿光谱 飞灰含碳量 气氛 检测限 多元线性回归 spectroscopy laser-induced breakdown spectroscopy unburned carbon in fly ash atmosphere limit of detection multivariable linear regression
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参考文献17

  • 1胡丽,赵南京,刘文清,方丽,王寅,孟德硕,余洋,谷艳红,王园园,马明俊,肖雪,王煜,刘建国.基于多元校正的水体Pb元素LIBS定量分析[J].光学学报,2015,35(6):314-320. 被引量:18
  • 2杨平,黄林,姚明印,陈添兵,何秀文,黎文兵,郑建鸿,胡慧琴,刘木华.集成ICCD单双脉冲LIBS对Pb溶液定量分析比较[J].激光与光电子学进展,2014,51(8):167-172. 被引量:2
  • 3杨友盛,张岩,杨友良,马翠红.基于支持向量机的钢水LIBS定性分析[J].激光与光电子学进展,2015,52(5):209-214. 被引量:9
  • 4徐钦英,张永彬,王怀胜,贾建平.激光诱导击穿光谱技术检测铀材料中微量杂质元素[J].中国激光,2015,42(3):318-323. 被引量:29
  • 5Yao S, Lu J, Zheng J, et al.. Analyzing unburned carbon in fly ash using laser- induced breakdown spectroscopy with multivariate calibration method[J]. Journal of Analytical Atomic Spectrometry, 2012, 27(3): 473-478.
  • 6沈跃良,李旭,刘亚明,樊炬,陈前明,陆继东,姚顺春.不同环境气体下飞灰等离子体特性分析[J].中国激光,2014,41(5):255-261. 被引量:6
  • 7Kurihara M, Ikeda K, Izawa Y, et al.. Optimal boiler control through real-time monitoring of unburned carbon in fly ash by laser-induced breakdown spectroscopy[J]. Applied Optics, 2003, 42(30): 6159-6165.
  • 8Li X W, Wang Z, Fu Y T, et al.. Application of a spectrum standardization method for carbon analysis in coal using laserinduced breakdown spectroscopy (LIBS)[J]. Applied Spectroscopy, 2014, 68(9): 955-962.
  • 9Ebinger M H, Norfleet M L, Breshears D D, et al.. Extending the applicability of laser-induced breakdown spectroscopy for total soil carbon measurement[J]. Soil Science Society of America Journal, 2003, 67(5): 1616-1619.
  • 10Nicolodelli G, Marangoni B S, Cabral J S, et al.. Quantification of total carbon in soil using laser- induced breakdown spectroscopy: A method to correct interference lines[J]. Applied Optics, 2014, 53(10): 2170-2176.

二级参考文献87

  • 1陈金忠,赵书瑞,魏艳红,郭庆林,怀素芳.环境气氛对高能量激光诱导等离子体辐射特性的影响[J].光谱学与光谱分析,2005,25(3):341-345. 被引量:8
  • 2吴戈,陆继东,余亮英,陈文.激光感生击穿光谱技术测量飞灰含碳量[J].热能动力工程,2005,20(4):365-368. 被引量:15
  • 3郭水霞,王一夫,陈安.基于支持向量机回归模型的海量数据预测[J].计算机工程与应用,2007,43(5):12-14. 被引量:9
  • 4张文艳,林兆祥,陆继东,李捷,吴金泉,孙奉娄.氯化钾溶液的激光诱导击穿光谱研究[J].应用激光,2007,27(2):121-123. 被引量:6
  • 5Mohamed A Khater. Laser-induced breakdown spectroscopy for light elements detection in steel: state of the art[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 2013, 81: 1-10.
  • 6Shuchi Srivastava, Pavitra Tandon, Renu Singh, et al: Elemental investigation of river Ganga water by LIBS[J]. National Academy Science Letters, 2013, 36(1): 57-60.
  • 7F F A1-Adel, M A Dastageer, K Gasmi, et al: Optimization of a laser induced breakdown spectroscopy method for the analysis of liquid samples[J]. Journal of Applied Spectroscopy, 2013, 80(5): 767-770.
  • 8Rohit Kumar, Awadhesh K Rai, Devanathan Alamelu, et al: Monitoring of toxic elements present in sludge of industrial waste using CF-LIBS[J]. Environmental Monitoring and Assessment, 2013, 185(1): 57-60.
  • 9Nunes L C, Braga J W B. Optimization and validation of a LIBS method for the determination of macro and micronutrients in sugar cane leaves[J]. J Anal At Spectrom, 2010, 25: 1453-1460.
  • 10Xin L, Zhang H, Liu H, et al: Equal ratio of graphite carbon to activated charcoal for enrichment of N-glycopeptides prior to matrix-assisted laser desorption/ionization time-of-flight mass spectrometric identification[J]. Rapid Commun Mass Spectrom, 2012, 26(3): 269-274.

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