超高效合相色谱法检测短链脂肪酸的研究展望

欧则民; 吉燕华; 孙青云; 黄霞; 周缪辉; 严小军; 徐国良; 刘红宁; 曾治君

doi:10.13422/j.cnki.syfjx.20190415

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超高效合相色谱法检测短链脂肪酸的研究展望

综述 | 更新时间：2021-02-09

- 超高效合相色谱法检测短链脂肪酸的研究展望
- Research Outlook of Short-chain Fatty Acids Detected by Ultra Performance Convergence Chromatography
- 中国实验方剂学杂志 2019年25卷第10期页码：205-213
- 作者机构：
  
  江西中医药大学　江西省中医病因生物学重点实验室，南昌　 330004
- 作者简介：
  
  欧则民，从事中医病因学研究，Tel：0791-87142859，E-mail：863874699@qq.com
  *曾治君，博士，副教授，从事中医病因学研究，Tel：0791-87142859，E-mail：157185405@qq.com
- 基金信息：
  
  国家自然科学基金项目(81760787);中国博士后科学基金项目(2017M622101);江西省教育厅项目(GJJ 160812);江西省卫生厅项目(2017A254)
- DOI：10.13422/j.cnki.syfjx.20190415
  中图分类号： R284.1; R22; R2-03; R289
- 收稿日期：2018-07-13，
  
  网络出版日期：2018-11-05，
  
  纸质出版日期：2019-05-20
- 稿件说明：
移动端阅览
欧则民, 吉燕华, 孙青云, 等. 超高效合相色谱法检测短链脂肪酸的研究展望[J]. 中国实验方剂学杂志, 2019,25(10):205-213.

Ze-min OU, Yan-hua JI, Qing-yun SUN, et al. Research Outlook of Short-chain Fatty Acids Detected by Ultra Performance Convergence Chromatography[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(10): 205-213.
欧则民, 吉燕华, 孙青云, 等. 超高效合相色谱法检测短链脂肪酸的研究展望[J]. 中国实验方剂学杂志, 2019,25(10):205-213. DOI： 10.13422/j.cnki.syfjx.20190415.

Ze-min OU, Yan-hua JI, Qing-yun SUN, et al. Research Outlook of Short-chain Fatty Acids Detected by Ultra Performance Convergence Chromatography[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(10): 205-213. DOI： 10.13422/j.cnki.syfjx.20190415.

摘要

短链脂肪酸(Short-chain fatty acids，SCFAs)的检测多以气相色谱法(gas chromatography，GC)为主，但随着研究的深入，GC在食品、化工和临床应用中所表现出的弊端也越发突出。通过对现有的研究结果进行分析，发现超高效合相色谱法(ultra performance convergence chromatography，UPC

)适用于对脂质的高效分析。UPC

是近五年发展起来的新型色谱分离技术，而SCFAs的水平与人体多种代谢性疾病的研究相关联，因此将UPC

运用于SCFAs的检测将有助于国内外学者对其展开更为深入的研究，也有助于指导多种代谢性疾病的治疗。本文回顾了SCFAs近十年来的相关研究，分析了GC和液相色谱(liquid chromatography，LC)在SCFAs检测中存在的不足之处，介绍了UPC

的发展历程、基本特性和国内外研究现状，总结了其应用于SCFAs检测分析的可行性和创新性。归纳了UPC

应用于粪便、血清中SCFAs检测的样品预处理方法，指出了样品预处理过程中应注意的问题，同时对UPC

检测SCFAs进行方法学的研究展望。着重探讨了提取溶剂、流动相、辅助溶剂对色谱行为的影响以及UPC

色谱柱的理化性质、类型和选择。简述了碱性改性剂、酸性改性剂、盐类改性剂的选择，以期为SCFAs的研究提供高效、简便、环保、经济的检测技术，为临床大规模样品的快速检测提供更具优势的参考方案。

Abstract

Gas chromatography (GC) is mainly used to detect the levels of short-chain fatty acids (SCFAs)

but with the deepening of research

the drawbacks of GC have become more and more obvious in the fields of food

chemical engineering and clinical application. The analysis on existing research results showed that ultra performance convergence chromatography (UPC

) was appropriate for the analysis of lipid metabolism. The UPC

is a new kind of chromatographic separation technology developed in recent five years and the level of SCFAs is associated with the research on multiple diseases. Therefore

application of UPC

in the detection of SCFAs would be helpful for the scholars at home and abroad to carry out deeper researches

and also helpful to guide the treatment for various metabolic disorders. In this paper

the researches on SCFAs in recent ten years were reviewed; the shortcomings of GC and liquid chromatography (LC) in the detection of SCFAs were reviewed; the development process

basic characteristics and research status of UPC

at home and abroad were introduced; feasibility and innovation of UPC

in the detection of SCFAs were summarized. Pretreatment methods for UPC

application to the detection of SCFAs in feces or serum were collected; the problems that should be noticed during the process of sample pretreatment were pointed out; meanwhile

an research outlook on methodology of UPC

application in the detection of SCFAs was conducted. The effects of extracting solvent

mobile phase

and auxiliaryt solvent on chromatographic behavior as well as the physicochemical property

type and choice of UPC

chromatographic column were mainly discussed in this paper. In addition

the choices of basic modifier

acid modifier

and salinity modifier were briefly outlined

in order to provide efficient

simple

environmental

and economic detection technologies for the research on SCFAs

and provide better reference solutions for the rapid detection of massive clinical samples.

关键词

Keywords

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