Application of UPLC Fingerprint Coupled with Chemometry for Quality Control of Quinoa from Different Geographical Origins

doi:10.7506/spkx1002-6630-201720042

Abstract

Abstract: In this research, a method for the quality control of 30 batches of quinoa from many different areas of the world was established by ultra-performance liquid chromatography (UPLC). UPLC fingerprints were established after evaluation of figures of merit. The similarity was analyzed by similarity evaluation software. The relationship between geographical origin and quality was analyzed by cluster analysis, principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and other chemometric methods. The results showed that there were 12 peaks common to 30 batches of quinoa, and the similarity among samples was greater than 0.7. Using the chemometric methods, the quinoa samples were classified into four categories according to their geographical orgins. The PCA and pattern recognition analysis indicated that the quality difference was mainly related to three compounds. Therefore, UPLC fingerprinting and chemical pattern recognition can provide detailed references for the quality control of quinoa.

Key words: quinoa, ultra performance liquid chromatography (UPLC), fingerprinting

CLC Number:

TS201.1

CAO Yanan, BAI Xue, ZHAO Gang, ZOU Liang, HU Yichen. Application of UPLC Fingerprint Coupled with Chemometry for Quality Control of Quinoa from Different Geographical Origins[J]. FOOD SCIENCE, 2017, 38(20): 286-291.

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[3]	GUO Min, LU Hengqian, WANG Shunhe, CHEN Wei, ZHAO Jianxin. Analysis of Fatty Acids and Small-Molecule Substances in Quinoa from Different Areas by Gas Chromatography-Mass Spectrometry [J]. FOOD SCIENCE, 2019, 40(8): 208-212.
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[8]	TIAN Xujing, DUAN Penghui, FAN Sanhong, ZHANG Jingting. Response Surface Methodology for Optimization of Hydrolysis Conditions for Preparing Antioxidant Peptides from Quinoa Bran Protein [J]. FOOD SCIENCE, 2018, 39(10): 158-164.
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[10]	GUO Xiaomeng, ZHAO Fushi, YE Xiaohui, MA Tingjun,. Response Surface Optimization of GABA Accumulation in Germinated Quinoa under Citric Acid Stress and Its ACE Inhibitory Activity in Vitro [J]. FOOD SCIENCE, 2017, 38(14): 221-226.
[11]	QUE Miaolin, JIANG Yurong, CAO Meili, CHEN Qi, WEI Shuying, LU Guoquan. Optimization of Polyphenols Extraction from Quinoa Grains by Response Surface Methodology and Differences in Polyphenol Content among Different Varieties [J]. FOOD SCIENCE, 2016, 37(4): 7-12.
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[14]	ZHENG Yingchun, CAO Yufen, LI Jing, TIAN Luming, DONG Xingguang, ZHANG Ying, QI Dan, CHANG Yaojun. Optimization of Extraction of Pear Leaf Polyphenols by Orthogonal Array Design and Polyphenol Composition Analysis [J]. FOOD SCIENCE, 2015, 36(20): 32-36.
[15]	WEI Aichun, YANG Xiushi, YAO Yang, LIU Hao, QIN Peiyou, ZHAO Degang, LI Yi, REN Guixing. Progress in Research on Nutritional and Functional Components and Bioactivity of Quinoa (Chenopodium quinoa Willd.) [J]. FOOD SCIENCE, 2015, 36(15): 272-276.

Application of UPLC Fingerprint Coupled with Chemometry for Quality Control of Quinoa from Different Geographical Origins

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