Extending the power transform approach for recovering areas of overlapping peaks

作者: M. Farooq Wahab , Alain Berthod , Daniel W. Armstrong

DOI: 10.1002/JSSC.201900799

关键词: Computational physicsSignal processingResolution (electron density)Dynamic rangeDetectorPhysicsMaximaReduction (complexity)Noise (electronics)Power function

摘要: Power functions, pn(x)=[f(x)]n , are embedded in some modern chromatography detectors and software which not only alter the linear dynamic range of such but also improve cosmetic aspects chromatograms. These include a reduction baseline noise, improved peak symmetry, better resolution. However, after raising electronic output detector to selected power (n > 1), original area information is lost as very small peaks. Recent advances processing protocol allow us recover areas from overlapping areas, even noisy environments using functions. One primary requirements this approach was have resolution factors ≥0.9. An increasing positive bias recovered observed decreased below 0.9. In work, we extend capabilities function lower values. This addressed by considering contributions height coming adjacent It shown that can now be used long maxima visible, making Rs  = 0.5, treatable factor for two peaks similar areas.

参考文章(9)
Jing Han, Pao Li, Wensheng Cai, Xueguang Shao, Fast determination of ginsenosides in ginseng by high‐performance liquid chromatography with chemometric resolution Journal of Separation Science. ,vol. 37, pp. 2126- 2130 ,(2014) , 10.1002/JSSC.201400403
Xi Wu, Wensheng Cai, Xueguang Shao, Resolving overlapping GC-MS signals with a multistep screening chemometric approach for the fast determination of pesticides. Journal of Separation Science. ,vol. 37, pp. 828- 834 ,(2014) , 10.1002/JSSC.201301268
D. Shock, G.R. Dennis, G. Guiochon, P.K. Dasgupta, R.A. Shalliker, Anomalies in evaporative light scattering detection Analytica Chimica Acta. ,vol. 703, pp. 245- 249 ,(2011) , 10.1016/J.ACA.2011.06.060
Purnendu K. Dasgupta, Yongjing Chen, Carlos A. Serrano, Georges Guiochon, Hanghui Liu, Jacob N. Fairchild, R. Andrew Shalliker, Black box linearization for greater linear dynamic range: The effect of power transforms on the representation of data Analytical Chemistry. ,vol. 82, pp. 10143- 10150 ,(2010) , 10.1021/AC102242T
M. Farooq Wahab, Rasangi M. Wimalasinghe, Yadi Wang, Chandan L. Barhate, Darshan C. Patel, Daniel W. Armstrong, Salient Sub-Second Separations Analytical Chemistry. ,vol. 88, pp. 8821- 8826 ,(2016) , 10.1021/ACS.ANALCHEM.6B02260
Garrett Hellinghausen, M. Farooq Wahab, Daniel W. Armstrong, Improving visualization of trace components for quantification using a power law based integration approach Journal of Chromatography A. ,vol. 1574, pp. 1- 8 ,(2018) , 10.1016/J.CHROMA.2018.09.002
M. Farooq Wahab, Fabrice Gritti, Thomas C. O’Haver, Garrett Hellinghausen, Daniel W. Armstrong, Power Law Approach as a Convenient Protocol for Improving Peak Shapes and Recovering Areas from Partially Resolved Peaks Chromatographia. ,vol. 82, pp. 211- 220 ,(2019) , 10.1007/S10337-018-3607-0
Shobhit Misra, M. Farooq Wahab, Darshan C. Patel, Daniel W. Armstrong, The utility of statistical moments in chromatography using trapezoidal and Simpson's rules of peak integration. Journal of Separation Science. ,vol. 42, pp. 1644- 1657 ,(2019) , 10.1002/JSSC.201801131
Imad A. Haidar Ahmad, Andrei Blasko, James Tam, Narayan Variankaval, Holst M. Halsey, Robert Hartman, Erik L. Regalado, Revealing the inner workings of the power function algorithm in Charged Aerosol Detection: A simple and effective approach to optimizing power function value for quantitative analysis. Journal of Chromatography A. ,vol. 1603, pp. 1- 7 ,(2019) , 10.1016/J.CHROMA.2019.04.017