提出了连续小波变换-纯变量法(CWT-PVA)解析气相色谱-质谱(GC-MS)重叠信号的新方法。
An algorithm for resolution of overlapping gas chromatographic-mass spectrometric(GC-MS) signal using continuous wavelet transform-pure variable approach(CWT-PVA) was proposed.
化学计量学利用数学方法对复杂重叠信号进行解析,为复杂样品的色谱分析提供了新的手段。
Chemometrics, which USES mathematical tools to deal with the overlapping analytical signals, provides alternative approaches for the resolution of overlapping chromatographic signals.
对模拟信号和实验信号的处理结果表明,该方法可方便地用于多组分重叠色谱信号的解析。
Both simulated and experimental data sets were investigated by the method. It was proved that the method is a convenient tool for resolution of overlapping chromatograms.
应用推荐