REVIEW

Application Progress on Component Detection Methods of Plant Feed Additives by Liquid Chromatography-Tandem Mass Spectrometry and Molecular Networking

  • WANG Yaoyao ,
  • GAO Pinyi ,
  • LI Danqi ,
  • LIU Xuegui
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  • 1. College of Pharmaceutical and Biological Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China;
    2. Institute of Functional Molecules, Shenyang University of Chemical Technology, Shenyang 110142, China;
    3. Liaoning Province Key Laboratory of Green Functional Molecular Design and Development, Shenyang 110142, China;
    4. National-Local Joint Engineering Laboratory for Development of Boron and Magnesium Resources and Fine Chemical Technology, Shenyang 110142, China

Received date: 2022-04-07

  Online published: 2022-11-14

Abstract

In the era of "forbidding the use of antibiotics in feed", it is very important to study new plant feed additives with safety, high efficiency and no residue for the development of animal husbandry. Plant extracts have become a research hotspot in the field of feed additives because of their advantages of rich resources, diverse biological effects, green safety and easy absorption, however, the component analysis and component identification of plant extracts have always been a technical problem in the establishment of quality standard of feed additives. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) combined with molecular networking has the characteristics of high precision and strong visualization in the determination of plant extracts. In this review, the applications of LC-MS/MS combined with molecular networking in qualitative and quantitative analysis of plant extracts in recent years are summarized, in order to provide theoretical basis for the composition detection of feed plant extracts, and provide references for the establishment of quality standards of feed additives.

Cite this article

WANG Yaoyao , GAO Pinyi , LI Danqi , LIU Xuegui . Application Progress on Component Detection Methods of Plant Feed Additives by Liquid Chromatography-Tandem Mass Spectrometry and Molecular Networking[J]. Chinese Journal of Animal Nutrition, 2022 , 34(11) : 6943 -6952 . DOI: 10.3969/j.issn.1006-267x.2022.11.015

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