采用多元校准法同时测定药物中的左旋多巴、卡比多巴和苯乙嗪。
Simultaneous voltammetric determination of levodopa, carbidopa and benserazide in pharmaceuticals using multivariate calibration.
机构信息
Bioelectrochemistry Laboratory, Chemical and Pharmaceutical Sciences Faculty, University of Chile, Santiago, Chile.
出版信息
Talanta. 2010 Aug 15;82(3):962-8. doi: 10.1016/j.talanta.2010.05.071. Epub 2010 Jun 8.
An analytical methodology based on differential pulse voltammetry (DPV) on a glassy carbon electrode and the partial least-squares (PLS-1) algorithm for the simultaneous determination of levodopa, carbidopa and benserazide in pharmaceutical formulations was developed and validated. Some sources of bi-linearity deviation for electrochemical data are discussed and analyzed. The multivariate model was developed as a ternary calibration model and it was built and validated with an independent set of drug mixtures in presence of excipients, according with manufacturer specifications. The proposed method was applied to both the assay and the uniformity content of two commercial formulations containing mixtures of levodopa-carbidopa (10:1) and levodopa-benserazide (4:1). The results were satisfactory and statistically comparable to those obtained by applying the reference Pharmacopoeia method based on high performance liquid chromatography. In conclusion, the methodology proposed based on DPV data processed with the PLS-1 algorithm was able to quantify simultaneously levodopa, carbidopa and benserazide in its pharmaceuticals formulations using a ternary calibration model for these drugs in presence of excipients. Furthermore, the model appears to be successful even in the presence of slight potential shifts in the processed data, which have been taken into account by the flexible chemometric PLS-1 approach.
建立并验证了一种基于玻碳电极差分脉冲伏安法(DPV)和偏最小二乘法(PLS-1)算法的分析方法,用于同时测定药物制剂中的左旋多巴、卡比多巴和比司特罗。讨论并分析了电化学数据产生双线性偏差的一些来源。根据制造商的规格,采用多元校正模型,建立并验证了含有辅料的药物混合物的三元校正模型。该方法应用于两种含有左旋多巴-卡比多巴(10:1)和左旋多巴-比司特罗(4:1)混合物的商业制剂的含量测定和均匀度。结果令人满意,与采用基于高效液相色谱的参考药典方法获得的结果具有统计学可比性。总之,基于 DPV 数据并采用 PLS-1 算法处理的数据建立的方法能够在存在辅料的情况下,采用三元校正模型同时定量测定这些药物在其药物制剂中的含量。此外,即使在处理后数据的潜在偏移较小的情况下,该模型似乎也很成功,这一点已经通过灵活的化学计量 PLS-1 方法考虑在内。