首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Employment of on-line FT-IR spectroscopy to monitor the deprotection of a 9-fluorenylmethyl protected carboxylic acid peptide conjugate of doxorubicin.
【24h】

Employment of on-line FT-IR spectroscopy to monitor the deprotection of a 9-fluorenylmethyl protected carboxylic acid peptide conjugate of doxorubicin.

机译:使用在线FT-IR光谱法监测阿霉素的9-芴基甲基保护的羧酸肽共轭物的脱保护。

获取原文
获取原文并翻译 | 示例
           

摘要

A method for accurately determining the end-point, >98% conversion, of the deprotection reaction of a highly toxic 9-fluorenylmethyl (Fm) ester 1b to its corresponding carboxylate 1d in real time by FT-IR spectroscopy is reported. Advantages of this method over analysis by conventional chromatographic means include real time determination of the end-point of a reaction that is time sensitive to by-product formation, and elimination of sampling a highly toxic reaction mixture. The FT-IR method is based on monitoring, in real time, the disappearance of the Fm ester carbonyl band for 1b at 1737 cm(-1), during deprotection by piperidine, and calibration models were established by Partial Least Squares (PLS) regression analysis with high performance liquid chromatography (HPLC) as reference. The best calibration model was built with 5 PLS factors in the spectral range of 1780-1730 and 1551-1441 cm(-1) and resulted in a standard error of cross validation (SECV) of 0.63 mM 1b and a standard error of prediction (SEP) of 0.51 mM 1b in the range of 0-25 mM. This error of prediction is approximately 0.8% of the initial concentration of 1b and is well within our specifications of <2% initial concentration.
机译:报道了一种通过FT-IR光谱实时准确地确定高毒性的9-芴基甲基(Fm)酯1b与其对应的羧酸酯1d脱保护反应的终点,即> 98%的转化率的方法。该方法相对于通过常规色谱手段进行分析的优势包括实时确定对副产物形成时间敏感的反应终点,并消除了对剧毒反应混合物的采样。 FT-IR方法基于实时监测哌啶脱保护过程中1b在1737 cm(-1)处Fb酯羰基带的消失,并通过偏最小二乘(PLS)回归建立了校准模型以高效液相色谱(HPLC)为参考进行分析。在1780-1730和1551-1441 cm(-1)的光谱范围内建立了5个PLS因子的最佳校准模型,其交叉验证(SECV)的标准误为0.63 mM 1b,预测的标准误为( SEP)为0.51 mM 1b,范围为0-25 mM。该预测误差约为1b初始浓度的0.8%,完全在我们<2%初始浓度的规格之内。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号