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Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Establishment and comparative analysis of HPLC fingerprints of deer tissues

Mengjie Yao https://orcid.org/0000-0002-5187-2285 A , Haiping Zhao https://orcid.org/0000-0002-5153-4681 A , Xiaoyan Qi https://orcid.org/0000-0001-8102-4570 A , Yuan Xu A , Wenyuan Liu A and Chunyi Li A B C
+ Author Affiliations
- Author Affiliations

A State Kay Laboratory for Molecular Biology of Special Economic Animals, 4899 JuYe Street, Nanguan District, Changchun, Jilin130112, China.

B Changchun Sci-Tech University, 1699 DongHua Street, Shuangyang District, Changchun, Jilin 130022, China.

C Corresponding author. Email: lichunyi1959@163.com

Animal Production Science 60(10) 1343-1350 https://doi.org/10.1071/AN19554
Submitted: 24 September 2019  Accepted: 5 January 2020   Published: 2 April 2020

Abstract

Context: With the increasing use of velvet antlers (VA) as functional food or traditional Chinese medicine, the quality control has become more and more important.

Aims: Establish an effective method to provide a way of distinguishing VA from other types of deer tissue.

Methods: In the present study, 18 samples from three types of deer tissue were analysed on the basis of high-performance liquid chromatography, and a chromatogram of each sample was obtained. Then, these chromatograms were processed using the similarity evaluation system for chromatographic fingerprints of traditional Chinese medicine, to give the fingerprints of three deer tissues. The chemometric methods were used to analyse the fingerprint results, so as to identify the three types of deer tissue.

Key results: Shared peaks of VA, venison and deer bone were identified using similarity evaluation system. The results showed that, in total, 19 peaks were identified among these three types of deer tissue. Compared with venison, VA lacked three peaks (Numbers 3, 4 and 17); compared with deer bone, VA had six extra peaks (Numbers 2, 5, 8, 9, 14 and 19). The results of chemometric methods showed that different tissue samples could be classified into three categories by using both cluster analysis and principal component analysis. After principal component analysis and partial least-square discrimination analysis, seven peaks were selected, which had significant influence on the classification of VA, venison and deer bone.

Conclusions: The high-performance liquid-chromatography fingerprints in combination with chemometric methods can be used to effectively distinguish three deer tissue types, namely, VA, venison and deer bone.

Implications: We believe the method offers a useful tool much needed in the current Chinese velvet market.

Additional keywords: deer bone, chemometric methods, velvet antler, venison.


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