Signal denoising and baseline correction by discrete wavelet transform for microchip capillary electrophoresis |
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Authors: | Liu Bi-Feng Sera Yoichi Matsubara Norio Otsuka Koji Terabe Shigeru |
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Affiliation: | Graduate School of Science, Himeji Institute of Technology, Kamigori, Hyogo, Japan. bf_liu@sci.himeji-tech.ac.jp |
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Abstract: | Signal denoising and baseline correction using discrete wavelet transform (DWT) are described for microchip capillary electrophoresis (MCE). DWT was performed on an electropherogram describing a separation of nine tetramethylrohodamine-5-isothiocyanate labeled amino acids, following MCE with laser-induced fluorescence detection, using Daubechies 5 wavelet at a decomposition level of 6. The denoising efficiency was compared with, and proved to be superior to, other commonly used denoising techniques such as Fourier transform, Savitzky-Golay smoothing and moving average, in terms of noise removal and peak preservation by directly visual inspection. Novel strategies for baseline correction were proposed, with a special interest in baseline drift that frequently occurred in chromatographic and electrophoretic separations. |
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