RESEARCH PAPER

Quality Evaluation and Correlation Verification of Oat Grass Based on Fingerprint Technology

  • PAN Yuzong ,
  • KOU Wei ,
  • JIANG Linshu ,
  • NIAN Fang
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  • 1. Beijing Key Laboratory of Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing 102206, China;
    2. College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China

Received date: 2021-08-21

  Online published: 2022-03-14

Abstract

The aim of this study was to analyze and evaluate the quality of oat grass from different sources from the perspective of flavonoid. In this study, 18 kinds of oat grass from different sources (S1 to S18) were used to determine the content of total flavonoid by NaNO2-Al (NO3)3-NaOH colorimetry and establish the characteristic spectrum of flavonoids nutritional active substances by high performance liquid chromatography. Cluster analysis, principal component analysis and grey correlation analysis were used to evaluate the quality and verify the correlation. The results showed that there were significant differences in flavonoid content among different sources of oat grass, the total flavon content of S7 was the highest (10.151 mg/g), and the total flavon content of S15 was the lowest (5.503 mg/g). According to the characteristic fingerprint of oat grass, 18 kinds of oat species were divided into 3 groups, the first group was S15, S17, S5, S3, S16, the second group was S1, S11, S8, S18, S6, S10, S2, S4, S9, S14 and the third group was S12, S13, S7. The results of grey correlation analysis showed that the important degree of 7 indexes on feeding value is flavonone content>dry matter content>crude protein content>acid detergent fiber content>ash content>neutral detergent fiber content>crude fat content, providing the technical foundation for the deep development of oat grass and the optimization of dairy diet formula.

Cite this article

PAN Yuzong , KOU Wei , JIANG Linshu , NIAN Fang . Quality Evaluation and Correlation Verification of Oat Grass Based on Fingerprint Technology[J]. Chinese Journal of Animal Nutrition, 2022 , 34(3) : 1984 -1995 . DOI: 10.3969/j.issn.1006-267x.2022.03.057

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