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使用拉曼和红外光谱对治疗溶液进行定性和定量分析。

Qualitative and quantitative analysis of therapeutic solutions using Raman and infrared spectroscopy.

机构信息

Université François-Rabelais de Tours, EA 6295 Nanomédicaments et Nanosondes, 31 avenue Monge, 37200 Tours, France; Department of Pharmacognosy, Faculty of Pharmacy, University of Gezira, Sudan.

Université François-Rabelais de Tours, EA 6295 Nanomédicaments et Nanosondes, 31 avenue Monge, 37200 Tours, France.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2019 Jul 5;218:97-108. doi: 10.1016/j.saa.2019.03.056. Epub 2019 Mar 24.

Abstract

Anticancer drugs are prescribed and administrated to an increasing number of patients on a daily basis. As a consequence, a number of concerns have been raised about the patient health and safety in the case that the drugs administered are not at the required concentration or even worse not the correct ones. Quality control of therapeutic solutions has therefore been extensively implemented in hospital environments, in order to avoid any failure in the intense workflow faced by administering pharmacists. In the present study, infrared (IR) and Raman spectroscopy have been employed for the analysis of 3 commercially available therapeutic solutions TEVA®, MYLAN®, CERUBIDINE®, respectively containing doxorubicin, epirubicin and daunorubicin. They perfectly illustrate the analytical difficulties encountered, as these 3 chemotherapeutic drugs are isomers, hardly distinguishable with conventional approaches such as UV/VIS spectrometry. Any analytical failure to identify these molecules can lead to delays in patient treatment. While Partial Least Squares Regression analysis demonstrates that both Raman and IR can deliver satisfactory quantitative analysis in the clinical range, with respective Root Mean Square Error of Cross Validation (RMSECV) between 0.0127 - 0.0220 g·L and 0.0573 - 0.0759 g·L, the identification rate between the 2 techniques differs substantially. Indeed, Principal Component Analysis - Factorial Discriminant Analysis (PCA-FDA) highlights that, depending on the data preprocessing applied to Raman spectra, the discrimination between the 3 drugs is decreased, with in some cases specificity and sensitivity below 50%. However, IR analysis displays encouraging results with an overall specificity and sensitivity between 99 and 100%, suggesting that reliable validation of the therapeutic solution for administration to patients can be achieved. IR and Raman spectroscopy could assist and support quality control of chemotherapeutic solutions prepared in personalised concentrations for each patient. The effective and reliable characterisation of therapeutic solutions could have a lot to offer to improve current practices in a near future.

摘要

抗癌药物每天都有越来越多的患者开处方和使用。因此,人们对患者的健康和安全产生了一些担忧,因为如果给予的药物浓度不符合要求,甚至更糟的是给错了药物,会产生一些问题。为了避免药剂师在紧张的工作流程中出现任何失误,治疗溶液的质量控制已在医院环境中得到广泛实施。在本研究中,红外(IR)和拉曼光谱分别用于分析三种市售的治疗溶液,TEVA®、MYLAN®、CERUBIDINE®,分别含有阿霉素、表阿霉素和柔红霉素。它们完美地说明了所遇到的分析困难,因为这三种化疗药物是异构体,用常规方法(如紫外/可见光谱法)很难区分。任何未能识别这些分子的分析失败都可能导致患者治疗延误。虽然偏最小二乘法回归分析表明,拉曼和 IR 都可以在临床范围内提供令人满意的定量分析,各自的交叉验证均方根误差(RMSECV)分别为 0.0127-0.0220 g·L 和 0.0573-0.0759 g·L,但两种技术之间的识别率却有很大差异。事实上,主成分分析-因子判别分析(PCA-FDA)突出表明,根据应用于拉曼光谱的数据预处理方式,三种药物之间的区分度降低,在某些情况下,特异性和灵敏度低于 50%。然而,IR 分析显示出令人鼓舞的结果,总体特异性和灵敏度在 99%至 100%之间,表明可以可靠地验证用于给患者给药的治疗溶液。IR 和拉曼光谱可以为个性化浓度制备的化疗溶液的质量控制提供帮助和支持。在不久的将来,治疗溶液的有效和可靠特性有望为改善当前实践提供很多帮助。

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