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Optimization of the Ion Source-Mass Spectrometry Parameters in Non-Steroidal Anti-Inflammatory and Analgesic Pharmaceuticals Analysis by a Design of Experiments Approach

机译:实验设计优化非甾体类消炎镇痛药物分析中离子源质谱参数

摘要

The flow rates of drying and nebulizing gas, heat block and desolvation line temperatures and interface voltage are potential electrospray ionization parameters as they may enhance sensitivity of themass spectrometer. The conditions that give higher sensitivity of 13 pharmaceuticals were explored. First, Plackett-Burman design was implemented to screen significant factors, and it was concluded that interface voltageand nebulizing gas flow were the only factors that influence the intensity signal for all pharmaceuticals. This fractionated factorial design was projected to set a full 22 factorial design with center points. The lack-of-fit test proved to be significant. Then, a central composite face-centered design was conducted. Finally, a stepwise multiple linear regression and subsequently an optimization problem solving were carried out.Twomain drug clusters were found concerning the signal intensities of all runs of the augmented factorial design. p-Aminophenol, salicylic acid, and nimesulide constitute one cluster as a result of showing much higher sensitivity than the remaining drugs. The other cluster is more homogeneous with some sub-clusters comprising one pharmaceutical and its respective metabolite. It was observed that instrumental signal increased when both significant factors increased with maximum signal occurring when both codified factors are set at level +1. It was also found that, for most of the pharmaceuticals, interface voltage influences the intensity of the instrument more than the nebulizing gas flowrate. The only exceptions refer to nimesulide where the relative importance of the factors is reversed and still salicylic acid where both factors equally influence the instrumental signal.
机译:干燥和雾化气体的流速,加热块和去溶剂化线的温度以及界面电压是潜在的电喷雾电离参数,因为它们可以提高质谱仪的灵敏度。探索了赋予13种药物更高敏感性的条件。首先,采用Plackett-Burman设计来筛选重要因素,并得出结论,界面电压和雾化气流是影响所有药物强度信号的唯一因素。预计该分项析因设计将设置具有中心点的完整22个析因设计。缺乏配合测试证明是重要的。然后,进行了中心复合面心设计。最后,进行了逐步多元线性回归,随后进行了优化问题求解。关于增强因子设计所有运行的信号强度,发现了两个主要的药物簇。对氨基苯酚,水杨酸和尼美舒利构成一个簇,这是因为它比其他药物具有更高的敏感性。另一簇更均匀,一些包含一种药物及其相应代谢产物的亚簇。可以观察到,当两​​个显着因子都增加时,仪器信号就会增加,而当两个编码因子都设为+1时,最大信号就会出现。还发现,对于大多数药物而言,界面电压对仪器强度的影响大于雾化气体流速。唯一的例外是尼美舒利,其中各因素的相对重要性相反,而水杨酸仍在这两种因素同样影响仪器信号的情况下。

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