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建立一个简单且能显示稳定性的反相高效液相色谱法,用于测定奥氮平及其在制备过程中产生的相关杂质。

Development of a simple and stability-indicating RP-HPLC method for determining olanzapine and related impurities generated in the preparative process.

机构信息

State Key Laboratory of Fine Chemicals, School of Pharmaceutical Science and Technology, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, Liaoning Province 116024, PR China.

出版信息

Analyst. 2011 Aug 7;136(15):3149-56. doi: 10.1039/c1an15155j. Epub 2011 Jun 22.

DOI:10.1039/c1an15155j
PMID:21695344
Abstract

A simple and stability-indicating reverse phase high performance liquid chromatographic (RP-HPLC) method was developed and validated for the determination of olanzapine (OLN) and related impurities in bulk drugs. Eight impurities were characterized respectively, and particularly a new process impurity from OLN synthesis was structurally confirmed as 1-(5-methylthionphen-2-yl)-1H-benzimidazol-2(3H)-one (Imp-7) by X-ray single crystal diffraction, MS, (1)H NMR, (13)C NMR and HSQC. A mechanism of formation pathway for Imp-7 was proposed. Optimum separation for OLN and eight related impurities was carried out on an Agilent Octyldecyl silica column (TC-C(18), 4.6 mm × 250 mm, 5 μm) using a gradient HPLC method. The method was validated with respect to specificity, linearity, accuracy, precision, LOD and LOQ. Regression analysis showed good correlation (r(2) > 0.9985) between the investigated component concentrations and their peak areas within the test ranges for OLN and eight impurities. The repeatability and intermediate precision, expressed as RSD, were less than 1.74%. The proposed stability-indicating method was suitable for routine quality control and drug analysis of OLN in bulk drugs.

摘要

建立并验证了一种用于测定奥氮平(OLN)及其原料药中有关物质的简单且专属性强的反相高效液相色谱法(RP-HPLC)。分别对 8 个杂质进行了特征鉴别,特别是通过 X 射线单晶衍射、MS、(1)H NMR、(13)C NMR 和 HSQC,对 OLN 合成中的一个新的工艺杂质进行了结构确证,将其确证为 1-(5-甲基噻吩-2-基)-1H-苯并咪唑-2(3H)-酮(Imp-7)。提出了 Imp-7 的形成途径机制。采用梯度 HPLC 法,在 Agilent Octyldecyl 硅胶柱(TC-C(18),4.6mm×250mm,5μm)上对 OLN 和 8 个有关物质进行了最佳分离。对该方法进行了专属性、线性、准确度、精密度、检测限和定量限验证。回归分析表明,在所研究的 OLN 和 8 个杂质浓度范围内,其峰面积与浓度之间具有良好的相关性(r(2)>0.9985)。重复性和中间精密度(用 RSD 表示)均小于 1.74%。该专属性方法适用于 OLN 原料药的常规质量控制和药物分析。

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