Literature DB >> 28245645

Simultaneous Profiling of Lysoglycerophospholipids in Rice (Oryza sativa L.) Using Direct Infusion-Tandem Mass Spectrometry with Multiple Reaction Monitoring.

Dong Kyu Lim1, Changyeun Mo2, Nguyen Phuoc Long1, Giyoung Kim2, Sung Won Kwon1,3.   

Abstract

White rice is the final product after the hull and bran layers have been removed during the milling process. Although lysoglycerophospholipids (lysoGPLs) only occupy a small proportion in white rice, they are essential for evaluating rice authenticity and quality. In this study, we developed a high-throughput and targeted lipidomics approach that involved direct infusion-tandem mass spectrometry with multiple reaction monitoring to simultaneously profile lysoGPLs in white rice. The method is capable of characterizing 17 lysoGPLs within 1 min. In addition, unsupervised and supervised analyses exhibited a considerably large diversity of lysoGPL concentrations in white rice from different origins. In particular, a classification model was built using identified lysoGPLs that can differentiate white rice from Korea, China, and Japan. Among the discriminatory lysoGPLs, for the lysoPE(16:0) and lysoPE(18:2) compositions, there were relatively small within-group variations, and they were considerably different among the three countries. In conclusion, our proposed method provides a rapid, high-throughput, and comprehensive format for profiling lysoGPLs in rice samples.

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Keywords:  Oryza sativa L.; direct infusion-mass spectrometry; discriminatory marker; lysoglycerophospholipid; partial least-squares discriminant analysis

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Year:  2017        PMID: 28245645     DOI: 10.1021/acs.jafc.7b00148

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  3 in total

1.  Development and assessment of a lysophospholipid-based deep learning model to discriminate geographical origins of white rice.

Authors:  Nguyen Phuoc Long; Dong Kyu Lim; Changyeun Mo; Giyoung Kim; Sung Won Kwon
Journal:  Sci Rep       Date:  2017-08-17       Impact factor: 4.379

2.  Comparative Metabolic Profiling of Grape Skin Tissue along Grapevine Berry Developmental Stages Reveals Systematic Influences of Root Restriction on Skin Metabolome.

Authors:  Shuyan Duan; Yusen Wu; Ruifeng Fu; Lei Wang; Yujin Chen; Wenping Xu; Caixi Zhang; Chao Ma; Jianxin Shi; Shiping Wang
Journal:  Int J Mol Sci       Date:  2019-01-28       Impact factor: 5.923

3.  The integration of multi-platform MS-based metabolomics and multivariate analysis for the geographical origin discrimination of Oryza sativa L.

Authors:  Dong Kyu Lim; Changyeun Mo; Jeong Hee Lee; Nguyen Phuoc Long; Ziyuan Dong; Jing Li; Jongguk Lim; Sung Won Kwon
Journal:  J Food Drug Anal       Date:  2017-11-10       Impact factor: 6.157

  3 in total

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