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Quantitative aspects in on-line comprehensive two-dimensional liquid chromatography for pharmaceutical applications

机译:用于药物应用的在线综合二维液相色谱中的定量方面

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On-line comprehensive two-dimensional liquid chromatography (on-line LCxLC) is expected to offer impressive effective peak capacity. That makes it an attractive technique for the analysis of complex samples such as pharmaceuticals, for which impurities are often unknown both in number and in structure, and can be either totally different or similar to the active substance. A study on comprehensive on-line RPLCxRPLC (reversed phase liquid chromatography in both dimensions) with respect to quantitative aspect at low concentration levels was carried out with the objective of finding conditions able to meet regulatory requirements for the control of pharmaceutical impurities. Preliminary studies showed that the best approach for quantitative purpose was to relate the impurity concentration to the sum of the second dimension peak areas. RPLCxRPLC conditions were optimized according to a Pareto-optimality approach with a focus on sensitivity, thereby favouring low dilution factor. The resulting RPLCxRPLC separation led to a detection limit below 0.05% for impurities (compared with API). Furthermore, the properties of this analytical method was found to be satisfying in terms of linearity (R-2 0.999), repeatability (RSD 1% for second dimension retention times) and precision (RSD 1.5% for the sum of second dimension peak areas). Finally, this on-line RPLCxRPLC approach was applied to the analysis of a batch of drug substance in the early stages of drug development. The method was able to detect impurities at concentrations as low as 0.04% (signal-to-noise ratio of 3). All these results clearly demonstrate the power of online RPLCxRPLC for the quantitative analysis of pharmaceutical samples.
机译:在线综合二维液相色谱(在线LCXLC)预计将提供令人印象深刻的有效峰值容量。这使其成为分析诸如药物的复杂样品的有吸引力的技术,其中杂质通常在数量和结构中赘料,并且可以与活性物质完全不同或类似。对低浓度水平的定量方面的综合在线RPLCXRP(两种尺寸反相液相色谱法)的研究采用了能够满足药物杂质控制控制的调节要求的条件进行的。初步研究表明,定量目的的最佳方法是将杂质浓度与第二尺寸峰面积的总和相关。 RPLCXRPLC条件根据帕累托 - 最优性方法进行优化,重点是灵敏度,从而有利于低稀释因子。得到的RPLCXRPLC分离导致杂质的检测限低0.05%(与API相比)。此外,发现该分析方法的性质在线性(R-2& 0.999),可重复性(RSD&第二尺寸保留次数)和精度(RSD <1.5%第二尺寸峰面积)。最后,将该在线RPLCXRPLC方法应用于药物发育早期阶段分批药物的分析。该方法能够以低至0.04%的浓度(信噪比为3)检测浓度的杂质。所有这些结果都清楚地证明了在线RPLCXRPLC用于药物样品的定量分析的力量。

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