Comments on the Baseline Removal Method Based on Quantile Regression and Comparison of Several Methods

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• 作者：Zhi-Min Zhang (1)
  Yi-Zeng Liang (1) yizeng_liang@263.net
• 关键词：Baseline Removal – ; Quantile Regression – ; Whittaker smoother
• 刊名：Chromatographia
• 出版年：2012
• 出版时间：March 2012
• 年：2012
• 卷：75
• 期：5-6
• 页码：313-314
• 全文大小：118.2 KB
• 参考文献：1. Komsta Ł (2011) Chromatographia 73:721–731
  2. Gan F, Ruan G, Mo J (2006) Chemom Intell Lab Syst 82:59–65
  3. de Boor C (1978) A practical guide to splines. Springer, New York
  4. Ruckstuhl AF, Jacobson MP, Field RW, Dodd JA (2001) J Quant Spectrosc Radiat Transf 68:179–193
  5. Eilers PHC (2004) Anal Chem 76:404–411
  6. Zhang ZM, Chen S, Liang YZ (2010) Analyst 135:1138–1146
• 作者单位：1. College of Chemistry and Chemical Engineering, Research Center of Modernization of Chinese Medicines, Central South University, Changsha, 410083 People鈥檚 Republic of China
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Analytical Chemistry
  Organic Chemistry
  Pharmacy
  Biochemistry
  Plant Sciences
  Measurement Science and Instrumentation
  
• 出版者：Vieweg Verlag
• ISSN：1612-1112

文摘

Several months ago, a paper by Komsta describing a method of baseline removal based on quantile regression for chromatographic datasets was published in this journal entitled “Comparison of Several Methods of Chromatographic Baseline Removal with a New Approach Based on Quantile Regression”. By comparing baseline removal methods based on polynomial, spline, loess and Whittaker smoother with the newly introduced method, Komsta concluded that the main advantage of this baseline removal method is visible better performance and short computational time. Unfortunately several wrong conclusions about the baseline removal methods based on Whittaker smoother contained in this paper. We feel that wrong conclusions about the baseline removal methods based on Whittaker smoother needs to be corrected so that it will not mislead the reader.