An analytical methodology based on differential pulse voltammetry (DPV) on an Au nanoparticles modified carbon paste electrode (AuNPs/CPE) and the partial least-squares (PLS) algorithm for the determination of tryptophan (Trp) in the presence of unexpected electroactive interference, tyrosine (Tyr) with overlapped peaks, in serum samples was described. At first, the synthesized Au nanoparticles were characterized by scanning electron microscopy (SEM) and the suitability of AuNPs/CPE for determination of Trp in the presence of Tyr was checked using electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV). Then experimental conditions were optimized with central composite rotatable design (CCRD) and response surface methodology (RSM), involving several chemical and instrumental variables. After optimization, the resolution of the two multicomponent mixtures has been accomplished by PLS for voltammmetric studies of Trp. Finally, the proposed method was found to be applicable for the analysis of the Trp in the presence of unexpected interference in serum samples.

一种基于差分脉冲伏安法（DPV）的Au纳米粒子修饰的碳糊电极（AuNPs / CPE）和偏最小二乘（PLS）算法的分析方法，用于在存在意外电活性干扰的情况下测定色氨酸（Trp），描述了血清样品中具有重叠峰的酪氨酸（Tyr）。首先，通过扫描电子显微镜（SEM）对合成的Au纳米粒子进行表征，并使用电化学阻抗谱（EIS）和循环伏安法（CV）检查AuNPs / CPE在Tyr存在下测定Trp的适用性。然后，通过中央复合材料可旋转设计（CCRD）和响应面方法（RSM）来优化实验条件，其中涉及多个化学和仪器变量。经过优化后，两种多组分混合物的拆分已通过PLS进行Trp的伏安研究。最后，发现该方法适用于在血清样品中存在意料不到的干扰的情况下分析色氨酸。