综述专论

在线前处理技术在生物样品分析中的应用进展*

  • 李海兰 ,
  • 刘玉苹 ,
  • 姚建能 ,
  • 刘颖玲 ,
  • 李霁
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  • 1.昆明医科大学药学院暨云南省天然药物药理重点实验室,昆明 650500;
    2.云南省现代生物医药产业学院,昆明 650500;
    3.云南省医疗器械检验研究院,昆明 650101
第一作者 Tel:13988403650;E-mail:1498258029@qq.com
** 刘颖玲 Tel:15808750326;E-mail:401530009@qq.com;
李霁 Tel:15087085021;E-mail:gigiliji@163.com

网络出版日期: 2025-10-13

基金资助

* 云南省科技计划项目-昆医联合专项-面上项目(202401AY070001-206); 云南省教育厅科学研究基金项目(2024J0327)

Progress of online pretreatment technology in the application of biological sample analysis*

  • LI Hai-lan ,
  • LIU Yu-ping ,
  • YAO Jian-neng ,
  • LIU Ying-ling ,
  • LI Ji
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  • 1. School of Pharmaceutical Sciences and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming 650500, China;
    2. Yunnan College of Modern Biomedical Industry, Kunming 650500, China;
    3. Yunnan Institute of Medical Device Inspection, Kunming 650101, China

Online published: 2025-10-13

摘要

生物样品成分复杂,且目标分析物的浓度范围差异显著,因此,样品前处理对后续分析显得尤为重要。随着分析技术的不断发展,对样品前处理的要求也日益提高,前处理技术正在向微量、省时、高效、在线和环保的方向发展,以适应复杂基质和痕量分析的要求。在线前处理技术将样品前处理步骤与后续分析检测过程直接集成到自动化系统中,可减少步骤和误差,提高分析效率和灵敏度,实现目标化合物的自动、快速和高效分析。本文对近10年来国内外生物样品在线前处理技术进行综述,为后续生物样品预处理技术的进一步深入研究及开发提供参考。

本文引用格式

李海兰 , 刘玉苹 , 姚建能 , 刘颖玲 , 李霁 . 在线前处理技术在生物样品分析中的应用进展*[J]. 药物分析杂志, 2025 , 45(5) : 739 -753 . DOI: 10.16155/j.0254-1793.2024-1062

Abstract

The components of biological samples are complex, and the concentration range of target analytes varies significantly. Therefore, sample pretreatment is particularly important for subsequent analysis. With the continuous development of analytical techniques, the requirements for sample pretreatment are also increasing. Pretreatment technologies are evolving towards microscale, time-saving, high-efficiency, online, and environmentally friendly directions to meet the requirements of complex matrices and trace analysis. Online pretreatment technologies integrate sample pretreatment steps and subsequent detection processes directly into an automated system, which can reduce steps and errors, improve analysis efficiency and sensitivity, and achieve automatic, rapid, and efficient analysis of target compounds. This paper reviews the online pretreatment technologies for biological samples in China and abroad in the past 10 years, offering valuable insights to guide future research and innovation in the realm of biological sample pretreatment.

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