A simple background elimination method for Raman spectra

被引:64
|
作者
Baek, Seong-Joon [1 ]
Park, Aaron [1 ]
Kim, Jinyoung [1 ]
Shen, Aigou [2 ]
Hu, Jiming [2 ]
机构
[1] Chonnam Natl Univ, Dept Elect Engn, Kwangju, South Korea
[2] Wuhan Univ, Coll Chem & Mol Sci, Wuhan 430072, Peoples R China
关键词
Background elimination; Raman spectroscopy; Interpolation; CALIBRATION;
D O I
10.1016/j.chemolab.2009.04.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we consider a new background elimination method for Raman spectra. The proposed method is based on peak detection. smoothing, and interpolation. Since the background is usually slowly varying with respect to wavelength, we could estimate the background by eliminating significant peaks. For this purpose, we seek the peaks by inspecting the smoothed derivative of a given spectrum. After clipping out the corresponding peak regions, we estimate the background by applying a modified linear interpolation. Then the background is eliminated from the measured Raman spectrum by simple subtraction. The experimental results showed that the proposed method gave satisfactory results for real Raman spectra as well as synthetic data. As the proposed method requires no prior knowledge of spectrum, we expect that the method could be applied to other spectral data as well. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:24 / 30
页数:7
相关论文
共 50 条
  • [41] An algorithm for estimation of background signal of Raman spectra from biological cell samples using polynomial functions of different degrees
    Gallo, Crescenzio
    Capozzi, Vito
    Lasalvia, Maria
    Perna, Giuseppe
    VIBRATIONAL SPECTROSCOPY, 2016, 83 : 132 - 137
  • [42] Adaptive noise model based iteratively reweighted penalized least squares for fluorescence background subtraction from Raman spectra
    Saveliev, Anatoly A.
    Galeeva, Ekaterina V.
    Semanov, Dmitry A.
    Galeev, Roman R.
    Aryslanov, Ilshat R.
    Falaleeva, Tatyana S.
    Davletshin, Rustam R.
    JOURNAL OF RAMAN SPECTROSCOPY, 2022, 53 (02) : 247 - 255
  • [43] Using the Principal Component Analysis method in studies of the TiO2 Raman spectra
    Belka, Radoslaw
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH ENERGY PHYSICS EXPERIMENTS 2017, 2017, 10445
  • [44] A Model-Free, Fully Automated Baseline-Removal Method for Raman Spectra
    Schulze, H. Georg
    Foist, Rod B.
    Okuda, Kadek
    Ivanov, Andre
    Turner, Robin F. B.
    APPLIED SPECTROSCOPY, 2011, 65 (01) : 75 - 84
  • [45] Method of phase composition diagnostics of lead zirconate titanate films based on Raman spectra
    Beshenkov, V. G.
    Znamenskii, A. G.
    Irzhak, A., V
    Marchenko, V. A.
    APPLIED SURFACE SCIENCE, 2021, 562
  • [46] The Identification Method of Blood by Applying Hilbert Transform to Extract Phase Information of Raman Spectra
    Wang Ning
    Wang Chi
    Bian Hai-yi
    Wang Jun
    Wang Peng
    Bai Peng-li
    Yin Huan-cai
    Tian Yu-bing
    Gao Jing
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38 (08) : 2412 - 2418
  • [47] Raman spectra exploring breast tissues: Comparison of principal component analysis and support vector machine-recursive feature elimination
    Hu, Chengxu
    Wang, Juexin
    Zheng, Chao
    Xu, Shuping
    Zhang, Haipeng
    Liang, Yanchun
    Bi, Lirong
    Fan, Zhimin
    Han, Bing
    Xu, Weiqing
    MEDICAL PHYSICS, 2013, 40 (06)
  • [48] Simple transformation of spectra to effectively reduce quantification errors in FT-Raman multivariate analysis of complex systems
    Szostak, Roman
    Mazurek, Sywester
    VIBRATIONAL SPECTROSCOPY, 2009, 49 (02) : 298 - 302
  • [49] How to pre-process Raman spectra for reliable and stable models?
    Bocklitz, Thomas
    Walter, Angela
    Hartmann, Katharina
    Roesch, Petra
    Popp, Juergen
    ANALYTICA CHIMICA ACTA, 2011, 704 (1-2) : 47 - 56
  • [50] Correction for Extrinsic Background in Raman Hyperspectral Images
    Taylor, J. Nicholas
    Pelissier, Aurelien
    Mochizuki, Kentaro
    Hashimoto, Kosuke
    Kumamoto, Yasuaki
    Harada, Yoshinori
    Fujita, Katsumasa
    Bocklitz, Thomas
    Komatsuzaki, Tamiki
    ANALYTICAL CHEMISTRY, 2023, 95 (33) : 12298 - 12305