Citation: QIN Mei-Ling, GAO Huan-Huan, CHAI Shuang-Shuang, HE Qiao, ZHANG Han-Tong, MA You-Ning. Metabolic Profiling Analysis of Rice Leaf Based on Hydrophilic Interaction Chromatography Combined with Reversed Phase Liquid Chromatography Quadrupole-Time-of-Flight Mass Spectrometry[J]. Chinese Journal of Analytical Chemistry, ;2018, 46(4): 479-485. doi: 10.11895/j.issn.0253-3820.171370 shu

Metabolic Profiling Analysis of Rice Leaf Based on Hydrophilic Interaction Chromatography Combined with Reversed Phase Liquid Chromatography Quadrupole-Time-of-Flight Mass Spectrometry

1.
Rice Product Quality Inspection and Supervision Center, Ministry of Agriculture, Laboratory of Quality and Safety Risk Assessment for Rice, Ministry of Agriculture, China National Rice Research Institute, Hangzhou 310006, China;
2.
College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China

Received Date: 25 October 2017
Revised Date: 27 February 2018

Fund Project: This work was supported by the National Rice Industrial Technology System (No.CARS-01-47), the Zhejiang Provincial Analysis Test Scientific and Technological projects (No.2018C37002), the Central Public-interest Scientific Institution Basal Research Fund of China National Rice Research Institute (No.2017RG006-2) and the Zhejiang Provincial Science and Technology Special Agricultural Projects, China (No.2014C02002-1).

A metabolic profiling analysis method for metabolomic studies of rice leaf was established based on HSS T3 combined with XBridge Amide Q-TOF LC/MS by comparing the influences of different extraction methods in rice leaves of metabolites. The extraction and separation of rice leaf metabolites using three different methods including methanol-chloroform-water, methanol-chloroform-ammonia, methanol-methyl tert-butyl ether -water and different chromatographic systems were compared by the numbers of peaks, identified metabolites and the metabolic pathways. The results showed that the method of methanol-chloroform-water reached the highest coverage rate of metabolites in rice leaves, and the maximum number of unique metabolites including prephenic acid, luteolin, α-linolenic acid, aconitic acid, gibberellin A12 aldehyde, isovitexin, L-Glutamate were detected. Metabolites with different polarity in rice leaf could be detected by HSS T3 and XBridge Amide. A total of 16 kinds of organic acids, 17 kinds of nucleotides, 21 kinds of amino acids, 66 kinds of fatty acids, 11 kinds of phospholipids and 7 kinds of sphingolipids were identified. XBridge Amide had an absolute advantage in detecting phospholipids and sphingolipids. The metabolic pathways involved purine metabolism, pyrimidine metabolism, tricarboxylic acid cycle, arginine metabolism, fatty acid metabolism, phospholipid metabolism, sphingolipid metabolism, phenylalanine metabolism and vitamin B2 synthesis. It showed certain complementarity between the two columns in identifying metabolites and involved the metabolic pathways. The established method is expected to be useful for the metabolomic studies of rice.
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