2007
DOI: 10.1016/j.chroma.2006.10.066
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Development of an algorithm for peak detection in comprehensive two-dimensional chromatography

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Cited by 91 publications
(97 citation statements)
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“…A widely cited seminal paper by Savitzky and Golay (Savitzky and Golay 1964) provides the details for a popular alternative for filtering out high frequency baseline noise. The filter, known as the Savitzky-Golay (SG) filter, has filter coefficients that implement least squares polynomial smoothing and can denoise signals and calculate derivatives with reduced peak degradation (Leptos et al 2006;Peters et al 2007;Vivó-Truyols and Schoenmakers 2006;Vivó-Truyols et al 2005a). The filter has been extended and improved in many different ways (Browne et al 2007).…”
Section: High Frequency Noise Removalmentioning
confidence: 99%
See 1 more Smart Citation
“…A widely cited seminal paper by Savitzky and Golay (Savitzky and Golay 1964) provides the details for a popular alternative for filtering out high frequency baseline noise. The filter, known as the Savitzky-Golay (SG) filter, has filter coefficients that implement least squares polynomial smoothing and can denoise signals and calculate derivatives with reduced peak degradation (Leptos et al 2006;Peters et al 2007;Vivó-Truyols and Schoenmakers 2006;Vivó-Truyols et al 2005a). The filter has been extended and improved in many different ways (Browne et al 2007).…”
Section: High Frequency Noise Removalmentioning
confidence: 99%
“…Derivatives of a smoothed signal are often used for peak detection in chromatography (Poole 2003). Signal peaks were detected in chromatograms after the Savitzky-Golay (SG) method was used to calculate derivatives (Peters et al 2007). For CE, it was detailed how peaks can be identified through the location of inflection points (calculated using the second forward difference) (Graves- Morris et al 2006).…”
Section: Zero-crossings Of the D E R I V A T I V E O F S I G N A L W mentioning
confidence: 99%
“…In the first step, 1D peaks in each secondary chromatogram are detected by a 1D peak-detection algorithm. In the second step, a peak merging algorithm determines which of the detected 1D peaks should be merged to form 2D peaks [7].…”
Section: Two-step Peak Detection Algorithmmentioning
confidence: 99%
“…This issue becomes more critical with increasing demand for faster analysis and narrower peaks, which mobilizes the developers of algorithms for chromatographic data treatment. Therefore, various peak recognition methods [10][11][12][13][14][15] and mathematical models for deconvolution of overlapping peaks and integration in noisy and complex systems 16,17 have been developed and evaluated. However, a deficiency in the availability of programs dedicated to chromatographic or electrophoretic data processing, which are simple, practical and accessible to researchers, students and specialized laboratories, is still noticed.…”
Section: Introductionmentioning
confidence: 99%