Quantification of components in overlapping peaks from capillary electrophoresis by using continues wavelet transform method

Jiao, Long; Gao, Suya; Fang, Zhang; Li, Hua

doi:10.1016/j.talanta.2008.01.016

Cited by 29 publications

(11 citation statements)

References 32 publications

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“…Some methods, including univariate design, orthogonal design, uniform design, central composite design, and genetic algorithm have been used [81][82][83][84][85]. Besides these, Jiao et al used a continuous wavelet transform (CWT) for resolving overlapping peaks and for quantitative determining coeluted compounds in CE [86].…”

Section: Capillary Electrophoresismentioning

confidence: 99%

Recent analytical approaches in quality control of traditional Chinese medicines—A review

Jiang

David

et al. 2010

Analytica Chimica Acta

431

268

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Section: Capillary Electrophoresismentioning

confidence: 99%

Recent analytical approaches in quality control of traditional Chinese medicines—A review

Jiang

David

et al. 2010

Analytica Chimica Acta

431

268

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“…Unlike the dyadic levels of decomposition typically used with the DWT's orthogonal wavelets, in non-orthogonal wavelet analysis the choice of scales is arbitrary (Torrence and Compo 1998). For example, the maximum wavelet scale was chosen to resolve coefficient peaks Jiao et al 2008. At the selected scale, the resolved coefficient peaks could then be quantitatively analysed.…”

Section: Peak Resolution Peak Extraction and Quantificationmentioning

confidence: 99%

Signal Processing Methods for Capillary Electrophoresis

Stewart¹,

Gideoni²,

Zhu³

2011

Systems and Computational Biology - Bioinformatics and Computational Modeling

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“…Each baseline component, on the other hand, for simplicity, has been modelled as samples of a scaled Gaussian curve 13 (see also 14 ):…”

Section: Synthetic Waveforms For Algorithm Performance Evaluationmentioning

confidence: 99%

Capillary electrophoresis (CE) peak detection using a wavelet transform technique

et al. 2008

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Capillary Electrophoresis (CE) is a separation technique that can be used as a sample pre-treatment step in chemical analysis. When coupled with a detection technique, identification of chemical species can be performed on the basis of the elution signals. However, the sensor signals are often complicated by high signal noise, varying baseline and overlapping peaks. There is thus a need for a signal processing technique capable of robustly detecting peaks in acquired sensor data. Here, we report on an algorithm that utilises the Continuous Wavelet Transform (CWT) for the detection of analyte peaks.The algorithm that has been developed makes use of a wavelet equal to the first derivative of a Gaussian function and has been successfully applied to data obtained from a CCD sensor fabricated on a polymer microfluidic separation chip. The algorithm operates by taking the CWT of the sensor response. It then analyses patterns in the local maximum and minimum points evident across scales in the CWT coefficients to find the peaks in the time series data. The performance of two versions of the algorithm have been compared for synthetic data sets each with known baseline, peaks and noise. The improved algorithm has been shown to successfully find peaks with a high sensitivity and low False Discovery Rate within a range of sensitivities.

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Quantification of components in overlapping peaks from capillary electrophoresis by using continues wavelet transform method

Cited by 29 publications

References 32 publications

Recent analytical approaches in quality control of traditional Chinese medicines—A review

Recent analytical approaches in quality control of traditional Chinese medicines—A review

Signal Processing Methods for Capillary Electrophoresis

Capillary electrophoresis (CE) peak detection using a wavelet transform technique

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