[an error occurred while processing this directive]

高等学校化学研究 ›› 2004, Vol. 20 ›› Issue (2): 134-137.

• Articles • 上一篇    下一篇

Subtracting Technique of Baselines for Capillary Electrophoresis Signals

WANG Ying1, MO Jin-yuan1, CHEN Zuan-guang2, GAO Yan1   

  1. 1. School of Chemistry and Chemical Engineering;
    2. Department of Chemistry, Medical College, Zhongshan University, Guangzhou 510275, P. R. China
  • 收稿日期:2003-05-12 出版日期:2004-04-24 发布日期:2011-08-06
  • 基金资助:

    Supported by the National Natural Science Foundation of China(No.29975033).

Subtracting Technique of Baselines for Capillary Electrophoresis Signals

WANG Ying1, MO Jin-yuan1, CHEN Zuan-guang2, GAO Yan1   

  1. 1. School of Chemistry and Chemical Engineering;
    2. Department of Chemistry, Medical College, Zhongshan University, Guangzhou 510275, P. R. China
  • Received:2003-05-12 Online:2004-04-24 Published:2011-08-06
  • Supported by:

    Supported by the National Natural Science Foundation of China(No.29975033).

PDF (PC)

摘要： The drifting baselines of capillary electrophoresis affect the veracity of analysis greatly. This paper presents Threshold Fitting Technique(TFT) so as to subtract the baselines from the original signals and emendate the signals. In TFT, wav elet and curve fitting technique are applied synthetically, thresholds are decided by the computer automatically. Many experiments of signal processing indicate that TFT is simple for being used, there are few man-induced factors, and the results are satisfactory. TFT can be applied for noisy signals without any pre-processing.

关键词: Baseline, Capillary electrophoresis(CE), Curve fitting, Wavelet, Threshold

Abstract: The drifting baselines of capillary electrophoresis affect the veracity of analysis greatly. This paper presents Threshold Fitting Technique(TFT) so as to subtract the baselines from the original signals and emendate the signals. In TFT, wav elet and curve fitting technique are applied synthetically, thresholds are decided by the computer automatically. Many experiments of signal processing indicate that TFT is simple for being used, there are few man-induced factors, and the results are satisfactory. TFT can be applied for noisy signals without any pre-processing.

Key words: Baseline, Capillary electrophoresis(CE), Curve fitting, Wavelet, Threshold