Analysis of secondary metabolites in Xinjiang Morus nigra leaves using different extraction methods with UPLC-Q/TOF-MS/MS technology

Author:

Guo Xue-Li12,Yang Lu32,Yu Si-Lin24,Zhang Ke1,Wang Jin-Hui24,Wang Hang-Yu1

Affiliation:

1. College of Pharmacy, Shihezi University , Shihezi 832002, Xinjiang , China

2. Key Laboratory of Fruit Tree Species Breeding and Cultivation in Xinjiang, Key Laboratory of Forest Resources and Utilization in Xinjiang of National Forestry and Grassland Administration , Urumqi 830052, Xinjiang , China

3. Xinjiang Forestry Testing Center , Urumqi 830052, Xinjiang , China

4. College of Pharmacy, Harbin Medical University , Harbin 150076, Heilongjiang , China

Abstract

Abstract Objective The differences in the chemical composition of Morus nigra (M. nigra) extracts from four different extraction methods, ultrasound-assisted extraction with pure water (WU), pure water decoction extraction (WD), ultrasonic-assisted extraction with formic acid water (FAU), and pure water heat reflux extraction (WHR), were identified using ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS/MS) technology. Method A Waters ACQUITY BEH C18 (1.7 μm, 2.1 mm × 100 mm) was used, with a column temperature of 45°C, mobile phase of methanol and 0.1% formic acid aqueous solution, and gradient elution with a flow rate of 0.4 mL/min. Detection was performed in positive and negative ion modes, and compounds were identified using Progenesis QI software and mass spectrometry data reported according to the literature and laboratory self-built databases of the Mulberry genus. Multivariate statistical techniques, such as principal component analysis and orthogonal partial least squares-discriminant analysis, were applied to differential cluster metabolic profiles and chemical components and to screen the differential chemical components of M. nigra leaves. Results There were significant differences in the chemical composition between WD and the other extraction methods of M. nigra leaves. A total of 13 differential metabolites (4 flavonoids, 3 organic acids, 3 phenylpropanoids, 2 alkaloids, and 1 trisaccharide) were identified. Conclusion The multivariate statistical analysis and UPLC-Q-TOF-MS/MS method established in this study identified the differential chemical constituents of Xinjiang M. nigra leaves using different extraction methods, which provides a basis for the quality control of M. nigra leaves, and provides basic data for revealing the influence of extraction methods on the synthesis and accumulation of M. nigra leaf metabolites, which has certain reference significance.

Publisher

Walter de Gruyter GmbH

Subject

Materials Chemistry,General Chemistry

Reference35 articles.

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