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Published on: September 19, 2018
Quantification of components in overlapping peaks from capillary electrophoresis by using continues wavelet transform
Long Jiao1, Suya Gao, Fang Zhang
1Institute of Analytical Science, Northwest University, Xi'an 710069, China.
Continues Wavelet Transform (CWT) effectively resolves overlapping peaks in capillary electrophoresis (CE) signals. This method accurately quantifies compounds like benzoic and salicylic acids, outperforming traditional techniques in noisy data.
Area of Science:
- Analytical Chemistry
- Chromatography
- Signal Processing
Background:
- Capillary Electrophoresis (CE) often produces overlapping peaks, complicating accurate compound identification and quantification.
- Existing methods for resolving overlapping peaks may struggle with noisy experimental data.
Purpose of the Study:
- To evaluate the effectiveness of Continues Wavelet Transform (CWT) for resolving overlapping peaks in CE.
- To determine the composition of benzoic acid and salicylic acid in a traditional Chinese patent medicine using CWT.
Main Methods:
- Experimental signals from CE were transformed into wavelet coefficients using CWT.
- The CWT method was applied to resolve overlapping peaks of benzoic acid and salicylic acid.
- Quantification results were compared with those obtained using the numerical differentiation method.
Main Results:
- CWT successfully resolved overlapping peaks from CE, enabling easier analysis.
- The method accurately determined the composition of benzoic acid and salicylic acid in Zuguangsan.
- CWT demonstrated superior performance compared to the numerical differentiation method, especially in processing noisy signals.
Conclusions:
- Continues Wavelet Transform (CWT) is a practical and effective approach for resolving overlapping peaks in CE.
- CWT provides accurate quantitative determination of coeluted compounds in CE, even with noisy data.
- CWT offers an advantage over numerical differentiation for processing complex CE electropherograms.
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