高等学校化学学报 ›› 2019, Vol. 40 ›› Issue (8): 1600.doi: 10.7503/cjcu20190144

• 分析化学 • 上一篇    下一篇

基于能量重分配的波长偏移校正方法

于丙文1,2, 金伟1, 金钦汉1, 刘旭2, 李晓东3   

  1. 1. 浙江大学分析仪器研究中心, 杭州 310027;
    2. 现代光学仪器国家重点实验室, 杭州 310027;
    3. 沈阳远大装备科技有限公司, 沈阳 110027
  • 收稿日期:2019-03-11 修回日期:2019-07-23 出版日期:2019-08-10 发布日期:2019-07-12
  • 通讯作者: 金伟,男,博士,高级工程师,主要从事分析仪器研究.E-mail:jinweimy@zju.edu.cn E-mail:jinweimy@zju.edu.cn
  • 基金资助:
    国家重大科学仪器设备开发专项(批准号:2018YFF01011100)资助.

Wavelength Drift Correction Method Based on Energy Redistribution

YU Bingwen1,2, JIN Wei1, JIN Qinhan1, LIU Xu2, LI Xiaodong3   

  1. 1. Research Center for Analytical Instrumentation, Zhejiang University, Hangzhou 310027, China;
    2. State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China;
    3. Shenyang Yuanda Equipment Science and Technology Co., Ltd., Shenyang 110027, China
  • Received:2019-03-11 Revised:2019-07-23 Online:2019-08-10 Published:2019-07-12
  • Supported by:
    Supported by the National Key Scientific Instrument and Equipment Development Project, China(No.2018YFF01011100).

摘要: 针对原子光谱分析中波长偏移问题,提出了一种基于能量重分配原理实现波长偏移校正的方法.用抛物线插值法对能量密度分布进行反演,以谱图相似度为判断指标,通过三分法确定最佳偏移量,并根据最佳偏移量与能量密度分布对光谱强度进行重新计算,实现了亚像素级别的波长校正.对微型光纤光谱仪与单道扫描光谱仪获得的谱图进行了算法验证,使Eu元素的背景噪音平均降低了48%,Mo元素的信号稳定度由20%改善至约5%.该方法对具有结构化特征的谱图具有较好的适用性,且无须寻峰算法配合使用,有助于提高光谱分析精确度.

关键词: 波长偏移校正, 原子发射光谱, 能量重分配

Abstract: In the field of atomic spectral analysis, wavelength stability has a great influence on the results of qualitative and quantitative analysis. In order to solve the problem of wavelength drift, an algorithm for implementing wavelength drift correction based on energy redistribution principle was proposed. The energy density distribution was estimated with a modified parabolic interpolation method, the optimal offset was determined by making use of the similarity of the spectra as the indicator, and then the spectral intensity was recalculated according to the optimal offset and energy density distribution, finally sub-pixel level wavelength drift correction was achieved. The proposed algorithm was verified with spectral data obtained from fiber optic spectrometer and sequential scanning spectrometer. As a result, the background noise of Eu is reduced to about 48% and the signal stability of Mo is improved from 20% to 5%. This algorithm is very suitable for the spectra with structured features, and it will help to improve the accuracy of atomic spectral analysis without peak-searching algorithm.

Key words: Wavelength drift correction, Atomic emission spectrometry, Energy redistribution

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