Idris Abubakr M
Department of Chemistry, College of Science, King Faisal University, P,O, Box 400, Hofuf 31982, Saudi Arabia.
Chem Cent J. 2011 Feb 20;5:9. doi: 10.1186/1752-153X-5-9.
Despite its potential benefits over univariate, chemometrics is rarely utilized for optimizing sequential injection analysis (SIA) methods. Specifically, in previous vis-spectrophotometric SIA methods, chemometrically optimized conditions were confined within flow rate and reagent concentrations while other conditions were ignored.
The current manuscript reports, for the first time, a comprehensive screening of conditions controlling vis-spectrophotometric SIA. A new diclofenac assay method was adopted. The method was based on oxidizing diclofenac by permanganate (a major reagent) with sulfuric acid (a minor reagent). The reaction produced a spectrophotometrically detectable diclofenac form. The 26 full-factorial design was utilized to study the effect of volumes of reagents and sample, in addition to flow rate and concentrations of reagents. The main effects and all interaction order effects on method performance, i.e. namely sensitivity, rapidity and reagent consumption, were determined. The method was validated and applied to pharmaceutical formulations (tablets, injection and gel).
Despite 64 experiments those conducted in the current study were cumbersome, the results obtained would reduce effort and time when developing similar SIA methods in the future. It is recommended to critically optimize effective and interacting conditions using other such optimization tools as fractional-factorial design, response surface and simplex, rather than full-factorial design that used at an initial optimization stage. In vis-spectrophotometric SIA methods those involve developing reactions with two reagents (major and minor), conditions affecting method performance are in the following order: sample volume > flow rate ≈ major reagent concentration >> major reagent volume ≈ minor reagent concentration >> minor reagent volume.
尽管化学计量学相对于单变量分析具有潜在优势,但它很少用于优化顺序注射分析(SIA)方法。具体而言,在先前的可见分光光度法SIA方法中,化学计量学优化的条件仅限于流速和试剂浓度,而其他条件则被忽略。
本论文首次报道了对控制可见分光光度法SIA条件的全面筛选。采用了一种新的双氯芬酸测定方法。该方法基于用高锰酸钾(主要试剂)和硫酸(次要试剂)氧化双氯芬酸。该反应产生了一种可通过分光光度法检测的双氯芬酸形式。利用26全因子设计研究了试剂和样品体积的影响,以及流速和试剂浓度的影响。确定了对方法性能(即灵敏度、快速性和试剂消耗)的主要效应和所有交互阶效应。该方法经过验证并应用于药物制剂(片剂、注射剂和凝胶剂)。
尽管本研究中进行的64次实验很繁琐,但所获得的结果将减少未来开发类似SIA方法时的工作量和时间。建议使用分数因子设计、响应面和单纯形等其他优化工具,而不是在初始优化阶段使用的全因子设计,来严格优化有效和相互作用的条件。在涉及与两种试剂(主要和次要)发生反应的可见分光光度法SIA方法中,影响方法性能的条件顺序如下:样品体积>流速≈主要试剂浓度>>主要试剂量≈次要试剂浓度>>次要试剂量。