...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Finding the best separation in situations of extremely low chromatographic resolution
【24h】

Finding the best separation in situations of extremely low chromatographic resolution

机译：在色谱分辨率极低的情况下找到最佳分离

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Samples with a large number of compounds or similarities in their structure and polarity may yield insufficient chromatographic resolution. In such cases, however, finding conditions where the largest number of compounds appears sufficiently resolved can be still worthwhile. A strategy is here reported that optimises the resolution level of chromatograms in cases where conventional global criteria, such as the worst resolved peak pair or the product of elementary resolutions, are not able to detect any separation, even when most peaks are baseline resolved. The strategy applies a function based on the number of " well resolved" peaks, which are those that exceed a given threshold of peak purity. It is, therefore, oriented to quantify the success in the separation, and not the failure, as the conventional criteria do. The conditions that resolve the same amount of peaks are discriminated by either quantifying the partial resolution of those peaks that exceed the established threshold, or by improving the separation of peaks below it. The proposed approach is illustrated by the reversed-phase liquid chromatographic separation of a mixture of 30 ionisable and neutral compounds, using the acetonitrile content and pH as factors.
机译：在结构和极性上具有大量化合物或相似性的样品可能会产生不足的色谱分离度。但是，在这种情况下，寻找能够充分解析最大数量化合物的条件仍然值得。在此报告了一种策略，该策略可在常规全局标准（例如，最差的分离峰对或基本分离度的乘积）无法检测到任何分离的情况下优化色谱图的分离度，即使大多数峰是基线分离的。该策略基于“良好分辨​​的”峰的数量应用函数，这些峰的数量超过给定的峰纯度阈值。因此，它旨在量化分离的成功，而不是像常规标准那样量化失败。通过对超过建立的阈值的那些峰的部分分辨率进行量化，或者通过改善低于该阈值的峰的分离，来区分解析相同数量的峰的条件。通过使用乙腈含量和pH作为因素，对30种可电离和中性化合物的混合物进行反相液相色谱分离，从而说明了所提出的方法。

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