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A Multi-Component Stochastic Resonance Algorithm That Can Be Used to Detect Multiple Weak Chromatographic Peaks Simultaneously

机译:一种多分量随机共振算法,可用于同时检测多个弱色谱峰

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A new stochastic resonance algorithm based on the method of energy gain was developed by introduce an external energy field upon the chromatographic signals in order to simultaneously amplify and detect weak peaks from multi-component. The experimental weak chromatographic peaks from Para Red and Sudan I ~ IV were analyzed using the new algorithm. It was suggested that the proposed algorithm might avoid depressing the peak from the component with low concentration or weak chromatographic response. The weak chromatographic peaks from the samples with different concentrations were all amplified significantly. It is expected that multi-component stochastic resonance algorithm will play an important role in the rapid analysis of complex samples, such as multi-residue analysis and detection of TCM trace active substances.
机译:通过在色谱信号上引入外部能量场,开发了一种基于能量增益方法的新的随机共振算法,以便同时放大和检测来自多组分的弱峰。使用新算法分析来自对红色和苏丹I〜IV的实验弱色谱峰。建议该算法可能避免以低浓度或弱的色谱反应从组件中抑制峰。来自具有不同浓度的样品的弱色谱峰全部显着扩增。预计多组分随机共振算法将在复杂样品的快速分析中发挥重要作用,例如多残基分析和检测TCM痕量活性物质。

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