Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for discriminating quality of fresh tobacco leaf sample based on research of metabonomics

A fresh tobacco leaf and metabolomics technology, applied in the field of analytical chemistry, can solve problems that have never been raised before, and achieve the effect of less sample consumption, accurate and reliable results, and simple and fast operation

Active Publication Date: 2015-03-18
DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, reports on the extraction and detection of lipid compounds in plants have emerged in an endless stream, but no one has ever proposed to use the lipid content or content ratio in fresh tobacco leaves for metabolomics to judge the quality of fresh tobacco leaf samples

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for discriminating quality of fresh tobacco leaf sample based on research of metabonomics
  • Method for discriminating quality of fresh tobacco leaf sample based on research of metabonomics
  • Method for discriminating quality of fresh tobacco leaf sample based on research of metabonomics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] This batch of samples to be tested includes 7 provinces, 7 varieties, 15 origins, 5 different growth stages in 36 spots in 7 provinces including Fujian, Guizhou, and Hunan, a total of 206 fresh leaf samples of tobacco (5-7 biological samples in each spot) learn to repeat). Among them, Fujian Longyan Yunyan 87 in the middle leaf mature period, Bina No. 1 in Guizhou Qiannan, Hunan Zhangjiajie K326 and other tobacco fresh leaf samples, Yunnan Dali Zhongyan 100 at the budding stage and the lower leaf mature stage Hongda, Guizhou Zunyi in full flowering stage Hongda The large sample has been completely browned due to lack of liquid nitrogen and other reasons. The sample in Xuchang, Henan is partially browned, and the other samples are well preserved.

[0025] The sample analysis steps are as follows:

[0026] 1) Weigh 20 mg of fresh tobacco leaf sample, add phosphatidylethanolamine (15:0 / 15:0) (0.03g / L, avanti) and triglyceride (15:0 / 15:0 / 15:0) ( 0.003g / L, avanti) pure met...

Embodiment 2

[0034] A total of 55 tobacco fresh leaf samples were randomly selected from 3 provinces in China, 8 planting areas, 5 different growth stages, and 20 points of 5 varieties (each point has 5-6 biological replicates), and the lipid Substances are measured. The sample analysis steps are as follows:

[0035] 1) Weigh 20 mg of fresh tobacco leaf sample, add phosphatidylethanolamine (15:0 / 15:0) (0.03g / L, avanti) and triglyceride (15:0 / 15:0 / 15:0) ( 0.003g / L, avanti) pure methanol 200μL, vortex 0.5-1.5 minutes; then add 600μL methyl tert-butyl ether (sigma), vortex 0.5-1.5 minutes; finally add water 120μL, vortex 0.5-1.5 minutes ;Centrifuge at 15000rpm for 10 minutes after standing still, dilute the supernatant 2-4 times (diluent: isopropanol / acetonitrile / water: 65 / 30 / 5), transfer to the injection bottle for HPLC-MS analyze.

[0036] 2) HPLC (Agilent1200) specific parameters: Chromatographic column: Waters T3 ((1.8μm, 2.1×100mm); column temperature: 55°C; injection volume 4μL; colu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a method for discriminating the quality of a fresh tobacco leaf sample based on the research of metabonomics. According to the method, the quality of fresh tobacco leaves in the research of metabonomics is discriminated by utilizing the ratio of phosphatidyl ethanolamine (18:3 / 18:3) to triglyceride (16:0 / 16:0 / 16:0). The method is simple and quick to operate and accurate and reliable in results, and can be used for providing reference to analysis of tobacco metabolic characteristics and related researches of tobacco metabolic metabonomics.

Description

technical field [0001] The invention relates to the field of analytical chemistry, and relates to a method for discriminating the quality of fresh tobacco leaf samples in metabolomics research based on the lipid content in fresh tobacco leaves. Background technique [0002] Plant metabolomics is a technique for studying plant systems by examining the changes in metabolites or their changes over time after plants are stimulated or disturbed. The physiological and ecological changes of plants can be directly obtained by profiling the metabolism of small molecular compounds in plants. In the study of plant metabolomics, the quality of the sample determines the authenticity and reliability of the analysis data; and the storage conditions of the sample determine the quality of the sample. For plant samples that cannot be analyzed by metabolomics immediately after sampling, cryopreservation is generally recommended; that is, biological samples should be stored at extremely low te...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01N30/88
Inventor 许国旺常玉玮赵春霞李丽丽路鑫张俊杰赵燕妮
Owner DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products