作者: M. Farooq Wahab , Alain Berthod , Daniel W. Armstrong
关键词: Computational physics 、 Signal processing 、 Resolution (electron density) 、 Dynamic range 、 Detector 、 Physics 、 Maxima 、 Reduction (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.