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一种用于高效液相色谱保留时间预测的简单方法：使用两种参考物质进行线性校准。

A simple method for HPLC retention time prediction: linear calibration using two reference substances.

作者信息

Sun Lei, Jin Hong-Yu, Tian Run-Tao, Wang Ming-Juan, Liu Li-Na, Ye Liu-Ping, Zuo Tian-Tian, Ma Shuang-Cheng

机构信息

National Institutes for Food and Drug Control, No. 2 Tiantan Xili, Dongcheng District, Beijing, 100050 People's Republic of China.

Xinjiang Institute for Food and Drug Control, Urumqi, 830004 China.

出版信息

Chin Med. 2017 Jun 19;12:16. doi: 10.1186/s13020-017-0137-x. eCollection 2017.

DOI:10.1186/s13020-017-0137-x
PMID:28642805
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5477150/
Abstract

BACKGROUND

Analysis of related substances in pharmaceutical chemicals and multi-components in traditional Chinese medicines needs bulk of reference substances to identify the chromatographic peaks accurately. But the reference substances are costly. Thus, the relative retention (RR) method has been widely adopted in pharmacopoeias and literatures for characterizing HPLC behaviors of those reference substances unavailable. The problem is it is difficult to reproduce the RR on different columns due to the error between measured retention time (t) and predicted t in some cases. Therefore, it is useful to develop an alternative and simple method for prediction of t accurately.

METHODS

In the present study, based on the thermodynamic theory of HPLC, a method named linear calibration using two reference substances (LCTRS) was proposed. The method includes three steps, procedure of two points prediction, procedure of validation by multiple points regression and sequential matching. The t of compounds on a HPLC column can be calculated by standard retention time and linear relationship.

RESULTS

The method was validated in two medicines on 30 columns.

CONCLUSION

It was demonstrated that, LCTRS method is simple, but more accurate and more robust on different HPLC columns than RR method. Hence quality standards using LCTRS method are easy to reproduce in different laboratories with lower cost of reference substances.

摘要

背景

药物化学中的相关物质分析以及中药中的多成分分析需要大量对照品来准确鉴定色谱峰。但对照品成本高昂。因此，相对保留时间（RR）法已在药典和文献中广泛采用，用于表征那些无法获得的对照品的高效液相色谱（HPLC）行为。问题在于，由于某些情况下测量保留时间（t）与预测t之间存在误差，不同色谱柱上难以重现RR。因此，开发一种替代且简单的准确预测t的方法很有必要。

方法

在本研究中，基于HPLC的热力学理论，提出了一种名为使用两种对照品的线性校准（LCTRS）的方法。该方法包括三个步骤，两点预测步骤、多点回归验证步骤和顺序匹配步骤。化合物在HPLC柱上的t可通过标准保留时间和线性关系计算得出。

结果

该方法在两种药物的30根色谱柱上得到验证。

结论

结果表明，LCTRS方法简单，在不同HPLC柱上比RR方法更准确、更稳健。因此，采用LCTRS方法的质量标准在不同实验室中易于重现，且对照品成本更低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/2c5af75bd7e1/13020_2017_137_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/e86e415ad7e1/13020_2017_137_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/102b6a543f6f/13020_2017_137_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/cfa531716f3c/13020_2017_137_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/cf4daee7ce12/13020_2017_137_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/71fe9ec66ab1/13020_2017_137_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/a3fe83aa25d0/13020_2017_137_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/2c5af75bd7e1/13020_2017_137_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/e86e415ad7e1/13020_2017_137_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/102b6a543f6f/13020_2017_137_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/cfa531716f3c/13020_2017_137_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/cf4daee7ce12/13020_2017_137_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/71fe9ec66ab1/13020_2017_137_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/a3fe83aa25d0/13020_2017_137_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c38/5477150/2c5af75bd7e1/13020_2017_137_Fig7_HTML.jpg

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