A Simple Baseline Correction Method for Raman Spectra

Author(s):  
Yung-Sheng Chen ◽  
Yu-Ching Hsu
2015 ◽  
Vol 42 (9) ◽  
pp. 0915003 ◽  
Author(s):  
杨桂燕 Yang Guiyan ◽  
李路 Li Lu ◽  
陈和 Chen He ◽  
陈思颖 Chen Siying ◽  
张寅超 Zhang Yinchao ◽  
...  

2018 ◽  
Vol 72 (5) ◽  
pp. 731-739 ◽  
Author(s):  
Yunliang Chen ◽  
Liankui Dai

Raman spectra usually suffer from baseline drift caused by fluorescence or other reasons. Therefore, baseline correction is a necessary and crucial step that must be performed before subsequent processing and analysis of Raman spectra. An automated baseline correction method based on iterative morphological operations is proposed in this work. The method can adaptively determine the structuring element first and then gradually remove the spectral peaks during iteration to get an estimated baseline. Experiments on simulated data and real-world Raman data show that the proposed method is accurate, fast, and flexible for handling different kinds of baselines in various practical situations. The comparison of the proposed method with some state-of-the-art baseline correction methods demonstrates its advantages over the existing methods in terms of accuracy, adaptability, and flexibility. Although only Raman spectra are investigated in this paper, the proposed method is hopefully to be used for the baseline correction of other analytical instrumental signals, such as IR spectra and chromatograms.


2014 ◽  
Vol 7 (7) ◽  
pp. 1969-1977 ◽  
Author(s):  
G. J. Zheng ◽  
Y. Cheng ◽  
K. B. He ◽  
F. K. Duan ◽  
Y. L. Ma

Abstract. The Sunset semi-continuous carbon analyzer (SCCA) is an instrument widely used for carbonaceous aerosol measurement. Despite previous validation work, in this study we identified a new type of SCCA calculation discrepancy caused by the default multipoint baseline correction method. When exceeding a certain threshold carbon load, multipoint correction could cause significant total carbon (TC) underestimation. This calculation discrepancy was characterized for both sucrose and ambient samples, with two protocols based on IMPROVE (Interagency Monitoring of PROtected Visual Environments) (i.e., IMPshort and IMPlong) and one NIOSH (National Institute for Occupational Safety and Health)-like protocol (rtNIOSH). For ambient samples, the IMPshort, IMPlong and rtNIOSH protocol underestimated 22, 36 and 12% of TC, respectively, with the corresponding threshold being ~ 0, 20 and 25 μgC. For sucrose, however, such discrepancy was observed only with the IMPshort protocol, indicating the need of more refractory SCCA calibration substance. Although the calculation discrepancy could be largely reduced by the single-point baseline correction method, the instrumental blanks of single-point method were higher. The correction method proposed was to use multipoint-corrected data when below the determined threshold, and use single-point results when beyond that threshold. The effectiveness of this correction method was supported by correlation with optical data.


2012 ◽  
Vol 218 ◽  
pp. 35-43 ◽  
Author(s):  
Qingjia Bao ◽  
Jiwen Feng ◽  
Fang Chen ◽  
Wenping Mao ◽  
Zao Liu ◽  
...  

2020 ◽  
Vol 69 (20) ◽  
pp. 200701
Author(s):  
Xin Wang ◽  
Zhe-Ming Kang ◽  
Long Liu ◽  
Xian-Guang Fan

2015 ◽  
Vol 35 (10) ◽  
pp. 1030002
Author(s):  
吕航 Lü Hang ◽  
廖宁放 Liao Ningfang ◽  
吴文敏 Wu Wenmin ◽  
李亚生 Li Yasheng ◽  
曹斌 Cao Bin

2018 ◽  
Vol 45 (12) ◽  
pp. 1211001 ◽  
Author(s):  
赵恒 Zhao Heng ◽  
陈娱欣 Chen Yuxin ◽  
续小丁 Xu Xiaoding ◽  
胡波 Hu Bo

2019 ◽  
Vol 46 (2) ◽  
pp. 0211001
Author(s):  
朱高峰 Zhu Gaofeng ◽  
朱红求 Zhu Hongqiu ◽  
钱灏 Qian Hao ◽  
朱剑平 Zhu Jianping

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