NMPA Key Laboratory for Impurity Profile of Chemical Drugs, Jiangsu Institute for Food and Drug Control, Nanjing, P. R. China.
Department of biostatistics, University of Florida, Gainesville, FL, USA.
J Sep Sci. 2020 Jun;43(11):2042-2052. doi: 10.1002/jssc.201901145. Epub 2020 Apr 3.
The current quality control methods relying mainly on chromogenic reaction can hardly ensure the quality and safety of the biochemical drug with complex chemical composition. Therefore, a chromatographic fingerprint method was developed for the quality evaluation of a multicomponent biochemical drug, transfer factor injection. High-performance liquid chromatography fingerprint was measured by using a C column (250 × 4.6 mm, 5 µm) with a mobile phase composed of 0.1% trifluoroacetic acid-water and 0.085% trifluoroacetic acid-acetonitrile under gradient elution. The developed method was validated and was subsequently applied to 57 batches of commercial products which were sampled by National Drug Assessment Program. High-resolution mass spectrometry analysis was performed on characteristic peaks of fingerprints, and a series of amino acids, nucleosides, and deoxynucleosides were identified. In the fingerprint assessments, principal component analysis and Hotelling T analysis yielded the best results. The results generally indicated that there was a significant difference among products of batch-to-batch or from different manufacturers. Abnormal samples and its discriminatory components were also explored. In summary, the established fingerprinting method with multivariate statistical analysis could offer an efficient, reliable, and practical approach for quality consistency evaluation of transfer factor injection, providing a reference for the quality control of other multicomponent biochemical drugs.
目前主要依靠显色反应的质量控制方法,很难保证化学成分复杂的生化药物的质量和安全性。因此,建立了一种色谱指纹图谱方法用于多组分生化药物转移因子注射液的质量评价。采用 C 柱(250×4.6mm,5μm),以 0.1%三氟乙酸-水和 0.085%三氟乙酸-乙腈为流动相进行梯度洗脱,测定高效液相色谱指纹图谱。对所建立的方法进行了验证,并随后应用于国家药品评估计划采集的 57 批商业产品。对指纹图谱的特征峰进行高分辨质谱分析,鉴定了一系列氨基酸、核苷和脱氧核苷。在指纹图谱评估中,主成分分析和 Hotelling T 分析得到了最好的结果。结果表明,不同批次或不同厂家的产品之间存在显著差异。还探讨了异常样品及其鉴别成分。总之,该研究建立的多变量统计分析指纹图谱方法可为转移因子注射液的质量一致性评价提供一种高效、可靠和实用的方法,为其他多组分生化药物的质量控制提供了参考。