CN111929373A - Identification method of medlar color-related metabolites - Google Patents

Identification method of medlar color-related metabolites Download PDF

Info

Publication number
CN111929373A
CN111929373A CN202010630232.0A CN202010630232A CN111929373A CN 111929373 A CN111929373 A CN 111929373A CN 202010630232 A CN202010630232 A CN 202010630232A CN 111929373 A CN111929373 A CN 111929373A
Authority
CN
China
Prior art keywords
glucoside
rutinoside
anthocyanin
petunia
delphinidin
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010630232.0A
Other languages
Chinese (zh)
Inventor
安巍
赵建华
尹跃
李浩霞
陈曦
胡丽娟
黄稳娥
曹有龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institute of Wolfberry Engineering Technology of Ningxia Academy of Agricultural and Forestry Sciences
Original Assignee
Institute of Wolfberry Engineering Technology of Ningxia Academy of Agricultural and Forestry Sciences
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Institute of Wolfberry Engineering Technology of Ningxia Academy of Agricultural and Forestry Sciences filed Critical Institute of Wolfberry Engineering Technology of Ningxia Academy of Agricultural and Forestry Sciences
Priority to CN202010630232.0A priority Critical patent/CN111929373A/en
Publication of CN111929373A publication Critical patent/CN111929373A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02Column chromatography
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02Column chromatography
    • G01N30/04Preparation or injection of sample to be analysed
    • G01N30/06Preparation

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
  • Pharmaceuticals Containing Other Organic And Inorganic Compounds (AREA)

Abstract

The invention provides an identification method of a medlar color-related metabolite, which comprises the following steps: after preprocessing medlar fruit samples of medlar varieties with different colors, extracting anthocyanin, and carrying out qualitative and quantitative detection on the anthocyanin; analyzing anthocyanin detection data, and positioning chromatographic ion peaks to obtain a wolfberry anthocyanin database; then quantitatively analyzing, and screening to obtain specific metabolites related to the color shade of the medlar fruits. The invention has the beneficial effects that: the method provides a foundation for the subsequent deeper research on specific substances with light and dark colors of the medlar, and simultaneously provides convenience for the research on subsequent metabolites and the breeding research; the accuracy of anthocyanin detection is improved by exploring the test conditions of ultra-high performance liquid chromatography-mass spectrometry; the method for identifying the metabolites related to the colors of the Chinese wolfberry fruits is provided, and an anthocyanin database is constructed, so that a material basis is provided for the future research, and a research idea is provided for the future identification of the metabolites related to the colors of the plants.

Description

Identification method of medlar color-related metabolites
Technical Field
The invention belongs to the field of analytical chemistry, and particularly relates to an identification method of a medlar color-related metabolite.
Background
The anthocyanin is a natural edible pigment, is safe and nontoxic, has rich resources, and has certain physiological health care functions, such as clearing free radicals in vivo, resisting tumors and cancers, protecting the liver, preventing diabetes and the like. Anthocyanins have been studied as derivatives of 2-phenylbenzopyran cationic structures, which are typical of flavonoids. The food mainly contains seed anthocyanin, i.e. cyanidin, morning glory pigment, delphinidin, peoniflorin, pelargonidin and malvidin.
At present, many researches on plant anthocyanin are carried out, researches show that anthocyanin is also a key metabolite influencing fruit color, different anthocyanin contents and types are reasons for color differences of white, red, black and the like of fruits, and no relevant researches are carried out at present on the reason for the shade of the color of medlar.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method for identifying metabolites related to the color of medlar.
The specific technical scheme is as follows:
a method for identifying a color-related metabolite of Lycium barbarum, wherein the method for identifying a color-related metabolite of Lycium barbarum comprises:
step S1: after preprocessing medlar fruit samples of medlar varieties with different colors, extracting anthocyanin, and carrying out qualitative and quantitative detection on the anthocyanin;
step S2: analyzing anthocyanin detection data, determining various anthocyanin structures, and then performing chromatographic ion peak positioning to obtain a wolfberry anthocyanin database;
and step S3, carrying out quantitative analysis according to anthocyanidin of different varieties of wolfberry fruits, and screening to obtain specific metabolites related to the color shade of the wolfberry fruits.
Further, in the step S1, qualitative and quantitative detection of anthocyanin is performed by UPLC-MS/MS detection.
Further, in the step S1, after the pretreatment of the medlar fruit sample, 10-90% by volume of methanol is added as an extraction reagent, and the anthocyanin derivative is extracted under the conditions that the mass concentration ratio of the material liquid is 1 (10-50), the ultrasonic treatment is carried out for 5-60 min, and the ultrasonic treatment temperature is 20-60 ℃.
Further, in the step S1, after the medlar fruit sample is pretreated, 70% by volume of methanol is added as an extraction reagent, and the anthocyanin derivative is extracted under the conditions that the mass concentration ratio of the material liquid is 1:10, the ultrasonic treatment is performed for 10min, and the ultrasonic treatment temperature is 40 ℃.
Further, in step S1, the mass spectrometry parameters of the ultra performance liquid chromatography-mass spectrometry detection are:
ion mode Positive ion scanning Air pressure of air curtain 40psi
Voltage of ion spray 5500V Temperature of 550℃
Ion source gas 1 50psi Ion source gas 2 60psi
Air for collision Medium Scanning mode MRM
Inlet voltage 10V Outlet voltage of collision cell 10V
Further, in step S1, the chromatographic test parameters of the ultra performance liquid chromatography-mass spectrometry detection are:
a chromatographic column: waters acquisition UPLC HSS T3C 181.8 μm, 2.1mm 100 mm;
mobile phase: the phase A is an ultrapure water solution of 0.1 percent by mass of acetic acid, and the phase B is an acetonitrile solution of 0.1 percent by mass of acetic acid; the flow rate is 0.3 ml/min; the column temperature is 40 ℃; the sample volume is 2 mul;
the mobile phase step elution is as follows in volume percent:
Figure BDA0002564201960000021
further, in step S2, the anthocyanin types in the anthocyanin database include: petunia 3, 5-diglucoside, petunia-3-O-rutinoside-5-O-glucoside, petunia pigment, petunia 3-O- [6-O- (4-O-p-caffeoyl-alpha-L-rhamnosyl pyranosyl) -beta-D-glucopyranoside ] -5-O- [ beta-D-glucopyranoside, petunia 3-O-p-coumaroyl-rutinoside, petunia-3-O-p-coumaroyl-rutinoside-5-O-glucoside, petunia-3-O-rutinoside (feruloyl) -5-O-glucoside, and pharmaceutically acceptable salts thereof, Petunidin-3-p-coumaric acid-sophoroside-5-O-glucoside, petunidin-3-p-coumaric acid-sophoroside-7-O-glucoside, petunidin-3-p-coumaric acid-sophoroside-7-glucoside, delphinidin-hexoside, delphinidin 3-sophoroside-5-rhamnoside, delphinidin 3-O-p-coumaroyl-glucoside, delphinidin 3-O-rutinoside-5-O-glucoside, delphinidin 3-O-rutinoside, delphinidin-3-O- [6-O- (4-O-p-coumaroyl-alpha-L-rhamnosyl-pyranosyl) -beta-D-glucopyranoside ] -5-O- [ beta-D-glucopyranoside ], delphinidin-3-O-p-coumaroyl rutinoside, delphinidin-3-p-coumaric acid-O-glucoside, delphinidin-3-O-glucoside, delphinidin-diglucoside, malvidin-rutinoside, malvidin-3-O-p-coumaroyl rutinoside-5-O-glucoside, malvidin-3-O-rutinoside (feruloyl) -5-O-glucoside, malvidin-3-O-rutinoside (glucoside-cis-p-coumaroyl) -5-O-glucoside, malvidin-3-O-rutinoside-5-O-glucoside, malvidin-3-p-coumaric acid-sophoroside-7-O-glucoside, green delphinidin-3, 5-O-diglucoside, peoniflorin-3-O-p-coumaroyl-rutinoside-5-0 glucoside, cyanidin-3-p-coumaric acid-O-glucoside and cyanidin galactoside.
Further, in the step S3, various anthocyanidins are quantitatively analyzed, and substances satisfying FC not less than 2 or not more than 0.5 and VIP value not less than 1 are screened to obtain specific metabolites.
Further, in the step S3, the specific metabolite is a petunidin derivative.
Further, the petunidin derivative comprises: petunia 3, 5-diglucoside, petunia-3-O-rutinoside-5-O-glucoside, petunia pigment, petunia 3-O- [6-O- (4-O-p-caffeoyl-alpha-L-rhamnosyl pyranosyl) -beta-D-glucopyranoside ] -5-O- [ beta-D-glucopyranoside, petunia 3-O-p-coumaroyl-rutinoside, petunia-3-O-p-coumaroyl-rutinoside-5-O-glucoside, petunia-3-O-rutinoside (feruloyl) -5-O-glucoside, and pharmaceutically acceptable salts thereof, Petunidin-3-p-coumaric acid-sophoroside-5-O-glucoside, petunidin-3-p-coumaric acid-sophoroside-7-O-glucoside and petunidin-3-p-coumaric acid-sophoroside-7-glucoside.
Compared with the prior art, the invention has the beneficial effects that: (1) the method provides a foundation for the subsequent deeper research on specific substances with light and dark colors of the medlar, and simultaneously provides convenience for the research on subsequent metabolites and the breeding research; (2) the accuracy of anthocyanin detection is improved by exploring the test conditions of ultra-high performance liquid chromatography-mass spectrometry; (3) the method for identifying the metabolites related to the colors of the Chinese wolfberry fruits is provided, and an anthocyanin database is constructed, so that a material basis is provided for the future research, and a research idea is provided for the future identification of the metabolites related to the colors of the plants.
Drawings
FIG. 1 is a photograph of a dark color Lycium barbarum color;
fig. 2 is a picture of the color of light-colored lycium barbarum.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
The color difference of the lycium barbarum is an important index of the anthocyanin metabolite difference, and the current research of technicians in the field only stays in the difference of metabolite groups of various lycium barbarum, for example, in the previous research, more qualitative research and quantitative research are carried out on anthocyanin of lycium ruthenicum, the fact that the content of petunidin in the lycium ruthenicum is higher in the lycium ruthenicum is also found in the research process, and the petunidin is used as a specific substance of the lycium ruthenicum. However, the research of the invention finds that even other varieties can present dark color systems under the condition of high content of the petunidin, the differences are not on the varieties, and the influence of a single factor on a certain variety is considered to be possibly limited.
Example 1
Pretreatment experiment of medlar
Optimizing an extraction solvent, optimizing a material-liquid ratio, optimizing extraction time and the like, extracting more medlar anthocyanin by comparing different pretreatment methods, and carrying out a cross experiment in the following variables to select an optimal extraction condition.
TABLE 1 different volume percentages of methanol solvent
Figure BDA0002564201960000051
TABLE 2 different feed-to-liquid ratios
Different feed-liquid ratios (g/ml) 1:10 1:20 1:30 1:40 1:50
TABLE 3 different ultrasound times
Different ultrasonic time (min) 5 10 20 30 60
TABLE 4 different ultrasound temperatures
Different ultrasound temperatures (. degree. C.) 20 30 40 50 60
The optimization steps are as follows:
1.1, taking methanol as an extracting agent, and investigating the extracting effect of different methanol volume percentages (10-90%) on the petunidin compounds. And simultaneously fixing the mass concentration ratio (1:10g/mL) and the ultrasonic time (10min) of the feed liquid, carrying out ultrasonic treatment at room temperature, and carrying out UPLC-MS/MS detection after extraction. The results are shown in Table 5:
TABLE 5 different methanol volume percent ion chromatogram peak areas
Figure BDA0002564201960000052
Figure BDA0002564201960000061
1.2 according to the results, the volume percent of the methanol is selected to be 70%, and the material-liquid ratio, the ultrasonic time and the ultrasonic temperature are optimized in the same way. By optimizing the conditions, the optimal extraction result of the substances can be obtained when the methanol concentration is 70%, the feed liquid mass concentration ratio is 1:10g/mL, the ultrasonic treatment is carried out for 10min and the ultrasonic treatment temperature is 40 ℃, and the detection result of the UPLC-MS/MS is shown in Table 6:
TABLE 6 ion chromatogram peak area at 70% by volume methanol test conditions
Figure BDA0002564201960000062
Example 2
Liquid phase and mass spectrum conditions of fructus Lycii anthocyanidin
The data acquisition instrument system mainly comprises Ultra Performance Liquid Chromatography (UPLC) and Tandem mass spectrometry (MS/MS).
Chromatographic conditions are as follows:
(1) a chromatographic column: waters acquisition UPLC HSS T3C 181.8 μm, 2.1mm 100 mm;
(2) mobile phase: a is ultrapure water, B is acetonitrile, 0.1% (volume percent) acetic acid is added;
(3) the flow rate is 0.3 ml/min; the column temperature is 40 ℃; the sample volume was 2. mu.l.
The mobile phase step elution is as follows in volume percent:
TABLE 7 elution gradient
Figure BDA0002564201960000071
Mass spectrum conditions:
TABLE 8 Mass Spectrometry parameters
Ion mode Positive ion scanning Air pressure of air curtain 40psi
Voltage of ion spray 5500V Temperature of 550℃
Ion source gas 1 50psi Ion source gas 2 60psi
Air for collision Medium Scanning mode MRM
Inlet voltage 10V Outlet voltage of collision cell 10V
Example 3
17 medlar germplasm with different fruit colors are selected, wherein the medlar germplasm comprises 8 medlar with dark fruit color and 9 medlar with light fruit color.
Qualitative and quantitative detection is carried out on the anthocyanin content of the medlar fruits by utilizing the embodiment 1 and the embodiment 2, standard qualification is carried out on inquired anthocyanins, manual spectrum decomposition is carried out on unknown anthocyanins and ion chromatographic peaks are positioned, and 32 anthocyanins metabolites are identified in total, as shown in a table 9; subsequently, samples were numbered 1-17, respectively, as shown in Table 10; and obtaining retention time and peak area of the substances through peak identification, peak alignment, peak matching, normalization and the like, calculating a VIP value by using simca 14.0 software, and calculating the difference multiple of the metabolite content by using excel.
And carrying out content analysis on the differential metabolites, wherein the screening standard is as follows: FC is more than or equal to 2 or less than or equal to 0.5, and VIP value is more than or equal to 1.
Meanwhile, correlation analysis is carried out on the metabolite content and the fruit color classification, and metabolites with correlation more than or equal to 0.4 are selected. By combining the two standards, the fact that the content of the petunidin metabolite is obviously related to the dark color of the medlar fruits is finally found, and the medlar fruits with the metabolite with high petunidin content often have dark color phenotypes.
32 anthocyanin metabolites in wolfberry fruit identified in Table 9
Figure BDA0002564201960000081
Figure BDA0002564201960000091
Figure BDA0002564201960000101
TABLE 1017 changes in petunidin content in different medlar fruit color samples
Sample numbering Sample name Fruit colour Color grouping Area of petunidin peak
1 Lycium ruthenicum Murr Black color Deep colour 1.57*106
2 QH-13-08-06 Black color Deep colour 8.00*105
3 QH-13-08 Dark red color Deep colour 6.06*105
4 Zh-13-08-02 Dark red color Deep colour 4.59*105
5 QH-13-08-05 Dark purple Deep colour 3.86*105
6 HZ-13-01 Purple color Deep colour 2.87*105
7 Line 7 Dark red color Deep colour 2.21*105
8 Change of yellow fruit Dark red color Deep colour 1.43*105
9 West 2-161 Orange colour Light color 1.31*104
10 West 2-82 Orange colour Light color 1.25*104
11 West 11-147 Orange colour Light color 1.24*104
12 West 2-166 Orange colour Light color 1.08*104
13 West 2-143 Orange colour Light color 9.28*103
14 East 6-169 Orange colour Light color 9.01*103
15 West 2-45 Orange colour Light color 7.66*103
16 East 1-166 Orange red Light color 3.96*103
17 East 8-168 Orange colour Light color 2.91*103
The number 2-17 is selected from wild or self-cultivated varieties, and as can be seen from the table above, the content of the petunidin derivative is high, the color of the medlar is dark, and otherwise, the color is light.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. A method for identifying a color-related metabolite of Lycium barbarum comprises the following steps:
step S1: after preprocessing medlar fruit samples of medlar varieties with different colors, extracting anthocyanin, and carrying out qualitative and quantitative detection on the anthocyanin;
step S2: analyzing anthocyanin detection data, determining various anthocyanin structures, and then performing chromatographic ion peak positioning to obtain a wolfberry anthocyanin database;
and step S3, carrying out quantitative analysis according to anthocyanidin of different varieties of wolfberry fruits, and screening to obtain specific metabolites related to the color shade of the wolfberry fruits.
2. The method of claim 1, wherein in step S1, qualitative and quantitative detection of anthocyanin is performed by UPLC-MS/MS detection.
3. The method for identifying color-related metabolites of Lycium barbarum as claimed in claim 1, wherein in step S1, the method comprises the steps of pre-treating a sample of Lycium barbarum fruit, adding 10-90% by volume of methanol as an extraction reagent, and extracting the anthocyanin derivative under conditions of a feed liquid mass concentration ratio of 1 (10-50), ultrasonic treatment for 5-60 min, and an ultrasonic temperature of 20-60 ℃.
4. The method for identifying color-related metabolites of Lycium barbarum as claimed in claim 1 or 3, wherein in step S1, the sample of Lycium barbarum fruit is pretreated and then methanol with a volume percentage of 70% is added as an extraction reagent, and the anthocyanin derivative is extracted under conditions of a feed liquid mass concentration ratio of 1:10, ultrasonic treatment for 10min and an ultrasonic temperature of 40 ℃.
5. The method according to claim 3, wherein in step S1, the mass spectrometric parameters of the HPLC-MS are:
Figure FDA0002564201950000011
Figure FDA0002564201950000021
6. the method according to claim 3, wherein in step S1, the chromatographic test parameters of the HPLC-MS are as follows:
a chromatographic column: c181.8 μm, 2.1mm x 100 mm;
mobile phase: the phase A is an ultrapure water solution of 0.1 percent by mass of acetic acid, and the phase B is an acetonitrile solution of 0.1 percent by mass of acetic acid; the flow rate is 0.3 ml/min; the column temperature is 40 ℃; the sample volume is 2 mul;
the mobile phase step elution is as follows in volume percent:
Figure FDA0002564201950000022
7. the method of claim 1, wherein in step S2, the anthocyanin species in the database include: petunia 3, 5-diglucoside, petunia-3-O-rutinoside-5-O-glucoside, petunia pigment, petunia 3-O- [6-O- (4-O-p-caffeoyl-alpha-L-rhamnosyl pyranosyl) -beta-D-glucopyranoside ] -5-O- [ beta-D-glucopyranoside, petunia 3-O-p-coumaroyl-rutinoside, petunia-3-O-p-coumaroyl-rutinoside-5-O-glucoside, petunia-3-O-rutinoside (feruloyl) -5-O-glucoside, and pharmaceutically acceptable salts thereof, Petunidin-3-p-coumaric acid-sophoroside-5-O-glucoside, petunidin-3-p-coumaric acid-sophoroside-7-O-glucoside, petunidin-3-p-coumaric acid-sophoroside-7-glucoside, delphinidin-hexoside, delphinidin 3-sophoroside-5-rhamnoside, delphinidin 3-O-p-coumaroyl-glucoside, delphinidin 3-O-rutinoside-5-O-glucoside, delphinidin 3-O-rutinoside, delphinidin-3-O- [6-O- (4-O-p-coumaroyl-alpha-L-rhamnosyl-pyranosyl) -beta-D-glucopyranoside ] -5-O- [ beta-D-glucopyranoside ], delphinidin-3-O-p-coumaroyl rutinoside, delphinidin-3-p-coumaric acid-O-glucoside, delphinidin-3-O-glucoside, delphinidin-diglucoside, malvidin-rutinoside, malvidin-3-O-p-coumaroyl rutinoside-5-O-glucoside, malvidin-3-O-rutinoside (feruloyl) -5-O-glucoside, malvidin-3-O-rutinoside (glucoside-cis-p-coumaroyl) -5-O-glucoside, malvidin-3-O-rutinoside-5-O-glucoside, malvidin-3-p-coumaric acid-sophoroside-7-O-glucoside, green delphinidin-3, 5-O-diglucoside, peoniflorin-3-O-p-coumaroyl-rutinoside-5-0 glucoside, cyanidin-3-p-coumaric acid-O-glucoside and cyanidin galactoside.
8. The method for identifying color-related metabolites of Lycium barbarum as claimed in claim 1, wherein in step S3, each anthocyanin is quantitatively analyzed, and substances satisfying FC > 2 or < 0.5 and VIP > 1 are screened to obtain specific metabolites.
9. The method of claim 1, wherein in step S3, the specific metabolite is a petunidin derivative.
10. The method of claim 9, wherein the petunidin derivative comprises: petunia 3, 5-diglucoside, petunia-3-O-rutinoside-5-O-glucoside, petunia pigment, petunia 3-O- [6-O- (4-O-p-caffeoyl-alpha-L-rhamnosyl pyranosyl) -beta-D-glucopyranoside ] -5-O- [ beta-D-glucopyranoside, petunia 3-O-p-coumaroyl-rutinoside, petunia-3-O-p-coumaroyl-rutinoside-5-O-glucoside, petunia-3-O-rutinoside (feruloyl) -5-O-glucoside, and pharmaceutically acceptable salts thereof, Petunidin-3-p-coumaric acid-sophoroside-5-O-glucoside, petunidin-3-p-coumaric acid-sophoroside-7-O-glucoside and petunidin-3-p-coumaric acid-sophoroside-7-glucoside.
CN202010630232.0A 2020-06-30 2020-06-30 Identification method of medlar color-related metabolites Pending CN111929373A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010630232.0A CN111929373A (en) 2020-06-30 2020-06-30 Identification method of medlar color-related metabolites

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010630232.0A CN111929373A (en) 2020-06-30 2020-06-30 Identification method of medlar color-related metabolites

Publications (1)

Publication Number Publication Date
CN111929373A true CN111929373A (en) 2020-11-13

Family

ID=73316933

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010630232.0A Pending CN111929373A (en) 2020-06-30 2020-06-30 Identification method of medlar color-related metabolites

Country Status (1)

Country Link
CN (1) CN111929373A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112557486A (en) * 2020-11-25 2021-03-26 杭州市农业科学研究院 Anthocyanin type analysis and identification method and quantitative detection method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103235080A (en) * 2013-05-13 2013-08-07 山东省农业科学院中心实验室 Method for quickly determining anthocyanin in seed coat of black peanut by using UPLC/MS/MS (Ultra Performance Liquid Chromatography/tandem Mass Spectrometry)
KR20170017497A (en) * 2015-08-07 2017-02-15 강원대학교산학협력단 Qualitative and quantitative analysis method of anthocyanins based on mass spectrometry
CN106645480A (en) * 2016-12-23 2017-05-10 山东省果树研究所 Detecting and analyzing method for anthocyanins substances in blueberries
CN107966517A (en) * 2017-08-11 2018-04-27 江苏省农业科学院 It is a kind of to measure the method for anthocyanin component and content in strawberry fruit using HPLC-MS/MS
JP2018205013A (en) * 2017-05-31 2018-12-27 三栄源エフ・エフ・アイ株式会社 Method for quantifying anthocyanin pigment
CN110927088A (en) * 2019-12-23 2020-03-27 中国科学院西北高原生物研究所 Method for rapidly detecting anthocyanin in lycium ruthenicum murr

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103235080A (en) * 2013-05-13 2013-08-07 山东省农业科学院中心实验室 Method for quickly determining anthocyanin in seed coat of black peanut by using UPLC/MS/MS (Ultra Performance Liquid Chromatography/tandem Mass Spectrometry)
KR20170017497A (en) * 2015-08-07 2017-02-15 강원대학교산학협력단 Qualitative and quantitative analysis method of anthocyanins based on mass spectrometry
CN106645480A (en) * 2016-12-23 2017-05-10 山东省果树研究所 Detecting and analyzing method for anthocyanins substances in blueberries
JP2018205013A (en) * 2017-05-31 2018-12-27 三栄源エフ・エフ・アイ株式会社 Method for quantifying anthocyanin pigment
CN107966517A (en) * 2017-08-11 2018-04-27 江苏省农业科学院 It is a kind of to measure the method for anthocyanin component and content in strawberry fruit using HPLC-MS/MS
CN110927088A (en) * 2019-12-23 2020-03-27 中国科学院西北高原生物研究所 Method for rapidly detecting anthocyanin in lycium ruthenicum murr

Non-Patent Citations (8)

* Cited by examiner, † Cited by third party
Title
ZHANG, G等: "Anthocyanin composition of fruit extracts from Lycium ruthenicum and their protective effect for gouty arthritis", 《INDUSTRIAL CROPS AND PRODUCTS》 *
ZHENG, J等: "Anthocyanins composition and antioxidant activity of wild Lycium ruthenicum Murr. from Qinghai-Tibet Plateau", 《FOOD CHEMISTRY》 *
ZHIHAO TIAN等: "Constituent analysis and quality control of anthocyanin constituents of dried Lycium ruthenicum Murray fruits by HPLC–MS and HPLC–DAD", 《JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES》 *
刘颖等: "红肉猕猴桃花色苷组成及浸提研究", 《果树学报》 *
周银颖等: "UPLC-ESI-Q-TOF/MS法筛查蓝莓中77种功能活性成分", 《食品科技》 *
张上上等: "超高效液相色谱-飞行时间-串联质谱法对3种蓝靛果忍冬果实中花青苷的比较分析", 《食品科学》 *
杭园园等: "黑果枸杞花青素类型、含量及结构分析研究", 《食品研究与开发》 *
陈功: "《泡菜加工学》", 31 July 2018 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112557486A (en) * 2020-11-25 2021-03-26 杭州市农业科学研究院 Anthocyanin type analysis and identification method and quantitative detection method

Similar Documents

Publication Publication Date Title
Mazzuca et al. Mass spectrometry in the study of anthocyanins and their derivatives: differentiation of Vitis vinifera and hybrid grapes by liquid chromatography/electrospray ionization mass spectrometry and tandem mass spectrometry
Ng et al. Ballpoint pen inks: characterization by positive and negative ion-electrospray ionization mass spectrometry for the forensic examination of writing inks
CN111721857A (en) Method for identifying litchi varieties by using extensive targeted metabonomics technology
CN108008026B (en) Method for synchronously detecting 13 colorants in hawthorn pills
Teng et al. Qualitative and quantitative methods to evaluate anthocyanins
CN108107126A (en) A kind of method of flavonoid components in detection peony petal
CN108088926A (en) A kind of method for detecting flavonoid components in tree peony blade
CN105241965A (en) Method of on-line quickly detecting total anti-oxidizing property of sample
CN111929373A (en) Identification method of medlar color-related metabolites
Maldini et al. Profiling and simultaneous quantitative determination of anthocyanins in wild Myrtus communis L. berries from different geographical areas in sardinia and their comparative evaluation
CN110646529B (en) Method for detecting chemical components in reed rhizome based on UPLC-QTOF/MS
白石美樹夫 et al. A rapid determination method for anthocyanin profiling in grape genetic resources
Budić-Leto et al. Anthocyanin composition of the red wine Babić affected by maceration treatment
CN112611812A (en) Liquid chromatography-mass spectrometry analysis method for anthocyanin compounds in plants
CN112946137A (en) High performance liquid chromatography detection method for anthocyanin in blueberry
CN116953142A (en) Liquid chromatography-mass spectrometry combined detection method for anthocyanin in tea
Sarker et al. Hyphenated techniques
CN115980211A (en) Kit and method for quantitatively detecting 25-hydroxyvitamin D and application thereof
CN104198637A (en) Method for identifying bee pollen based on content of kaempferol 3,4-bis-O-Beta-D-glucoside
Sommella et al. Rapid screening of antioxidant anthocyanins in autochthonous nero d’avola grape clones by pre-column DPPH reaction coupled to UHPLC-UV/Vis-IT-Tof: A strategy to combine chemical data and genetic diversity
CN114814057A (en) Method for distinguishing true and false of selaginella tamariscina varieties through non-targeted metabonomics and application
Hann et al. Workflow development for the analysis of phenolic compounds in wine using liquid chromatography combined with drift-tube ion mobility–mass spectrometry
CN112204396A (en) Method for co-identifying botanical using chromatographic and mass spectral characteristics associated with marker compounds
CN110609097A (en) Method for screening phosphatidylserine compounds
CN116577430A (en) Method for identifying wide dried orange peel with different harvest periods in different years based on metabonomics

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20201113