随机共振应用于人血浆中非那吡啶弱色谱信号的定量分析

目的运用随机共振法对湮没在噪声中的弱色谱峰进行定量分析。方法基于随机共振理论，通过优化系统参数和Runge-Kutta方法来提高信噪比的方式建立了能提高色谱检测限的随机共振算法，并应用于HPLC/UV法定量检测人血浆中的非那吡啶浓度。同时将该方法与HPLC/MS法进行了比较。结果实验数据表明非那吡啶的浓度与响应值之间的线性关系良好。通过两种方法分别测得的受试者的血药浓度数据说明了这两种方法差异无显著性意义。结论该方法是可行的。

Application of stochastic resonance to quantitative analysis of weak chromatographic signal of phenazopyridine in human plasma

Aim To apply stochastic resonance algorithm (SRA) to quantitative analysis of weak chromatographic signal,which was embedded in the noise.Methods Based on the theory of stoehastic resonance (SR),a simple and effective SRA has been established to improve analytical detection limits of chromatographic analysis,which apply to enhance the signal to noise ratio by the optimization of the parameters and Runge-Kutta method,was established.The method was used to quantitative analysis of phenazopyridine in human plasma by HPLC/UV.Meanwhile this method is compared with HPLC/MS. Results By experimental chromatographic data sets,an excellent quantitative relationship between concentrations of phenazopyridine and their responses had been obtained.The concentration of phenazopyridine in plasma determined by HPLC/UV with SRA and HPLC/MS showed that there was no significant difference (P>0.05) between the two methods.Conclusion The new method was feasible.