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Flavonoids

Flavonoids are a diverse group of plant-derived polyphenolic compounds with a wide range of biological activities.
These natural compounds play crucial roles in plant defense mechanisms and have garnered significant interest for their potential health benefits, including anti-oxidant, anti-inflammatory, and neuroprotective properties.
Flavonoids can be classified into several subgroups, such as flavones, flavonols, flavanones, and isoflavones, based on their structural characteristics.
Reserach into the identification, isolation, and characterization of flavonoids is an active area of study, with potential applications in pharmaceudical, nutraceutical, and cosmetic industries.
PubCompare.ai offers a powerful AI-driven platform to optimiize flavonoid research by facilitating the discovery of the best protocols from literature, preprints, and patents, enhancing reproducibility and accuracy.

Most cited protocols related to «Flavonoids»

Using a FFQ, participants reported the intake of foods consumed during the previous month. The FFQ was designed for the Dutch population and based on the VetExpress, a 104-item FFQ, valid for estimating the intake of energy, total fat, saturated (SFA), monounsaturated (MUFA), and polyunsaturated fatty acids (PUFA), and cholesterol in adults [5 (link)]. The VetExpress was updated and extended with vegetables, fruit, and foods for estimating the intake of specific PUFA’s, vitamins, minerals, and flavonoids. To identify relevant foods and food groups for this questionnaire, food consumption data of the Dutch National Food Survey of 1998 were used. Foods that contributed >0.1% to the intake of one of the nutrients of interest of adults were added in this survey. Thus, the FFQ is expected to include foods that cover the daily intake of each nutrient of food of interest for at least 90%. In a final step, foods were clustered to food items and extended with new foods on the market and foods to guarantee face validity. The FFQ was sent to each study participant, and after completing it, the participants returned the FFQ in an envelope free of postal charge. A dietician went through each FFQ to check for completeness. If necessary, she contacted the participants by telephone and obtained information on unclear or missing items. The FFQ also included questions on adherence to a special diet as well as questions about the use of dietary supplements.
Some of the offspring and their partners who completed the general questionnaire of the LLS were invited to the clinic for additional measurements at the Leiden University Medical Center. These measurements lasted a half day and couples were invited for the morning program or the afternoon program, which were slightly different due to practical reasons. The first 24-hour recall was performed in those participants who came to the clinic for the measurement in the morning program [N=128 (Noffspring=62, Ncontrol=66)]. A dietician asked the participants about their dietary intake of the previous day covering all foods and beverages consumed from waking up until the next morning. The dieticians received standardized training, using a formal protocol, to reduce the impact of the interview on the reporting process. For the two remaining recalls, the dietician contacted the participants by telephone within the next seven days. The 24-hour recalls were performed throughout the year and the days were chosen non-consecutively. They include a randomly assigned combination of days of the week with all days of the week represented (80% weekdays and 20% weekend days), for each individual.
The food data from both dietary assessment methods were converted into energy and nutrient intake by using the NEVO food composition database of 2006 [6 ]. Furthermore, foods were categorized into 24 major food groups. Age was calculated from date of birth and completion date of the FFQ. For subjects with missing information on the date of completing the FFQ, we used the median date of the other subjects.
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Publication 2013
Adult Beverages Birth Cholesterol Diet Dietary Supplements Dietitian Eating Flavonoids Food Fruit Mental Recall Minerals Nutrient Intake Nutrients Polyunsaturated Fatty Acids Vegetables Vitamins
The aluminum chloride colorimetric method was used for the determination of the total flavonoid content of the sample [21 –24 ]. For total flavonoid determination, quercetin was used to make the standard calibration curve. Stock quercetin solution was prepared by dissolving 5.0 mg quercetin in 1.0 mL methanol, then the standard solutions of quercetin were prepared by serial dilutions using methanol (5–200 μg/mL). An amount of 0.6 mL diluted standard quercetin solutions or extracts was separately mixed with 0.6 mL of 2% aluminum chloride. After mixing, the solution was incubated for 60 min at room temperature. The absorbance of the reaction mixtures was measured against blank at 420 nm wavelength with a Varian UV-Vis spectrophotometer (Cary 50 Bio UV-Vis Spectrophotometer, Varian). The concentration of total flavonoid content in the test samples was calculated from the calibration plot (Y = 0.0162x + 0.0044, R2 = 0.999) and expressed as mg quercetin equivalent (QE)/g of dried plant material. All the determinations were carried out in triplicate.
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Publication 2014
Aluminum Chloride Colorimetry Flavonoids Methanol Plants Quercetin Technique, Dilution
Total flavonoid content was determined following a method by Park et al (2008) [28 (link)]. In a 10 ml test tube, 0.3 ml of extracts, 3.4 ml of 30% methanol, 0.15 ml of NaNO2 (0.5 M) and 0.15 ml of AlCl3.6H2O (0.3 M) were mixed. After 5 min, 1 ml of NaOH (1 M) was added. The solution was mixed well and the absorbance was measured against the reagent blank at 506 nm. The standard curve for total flavonoids was made using rutin standard solution (0 to 100 mg/l) under the same procedure as earlier described. The total flavonoids were expressed as milligrams of rutin equivalents per g of dried fraction.
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Publication 2012
Aluminum Chloride Flavonoids Methanol Rutin
The flavonoid contents of individual extracts were measured as per the Dowd method [46 (link)]. An aliquot of 1 mL of extract solution (25–200 µg/mL) or quercetin (25–200 µg/mL) were mixed with 0.2 mL of 10% (w/v) AlCl3 solution in methanol, 0.2 mL (1 M) potassium acetate and 5.6 mL distilled water. The mixture was incubated for 30 min at room temperature followed with the measurement of absorbance at 415 nm against the blank. The outcome data were expressed as mg/g of quercetin equivalents in milligrams per gram (mg QE/g) of dry extract.
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Publication 2019
Aluminum Chloride Flavonoids Methanol Potassium Acetate Quercetin

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Publication 2013
Aluminum Chloride Colorimetry Flavonoids Methanol Potassium Acetate Quercetin

Most recents protocols related to «Flavonoids»

Pearson’s correlation analysis was conducted by calculating the correlation coefficient between anthocyanin content and the expression of DEGs enriched in the flavonoid–anthocyanin biosynthesis pathway (ko00941 and ko00942). Furthermore, R2R3-MYB and bHLH TFs with differential expression levels were used to perform a correlation analysis with differentially accumulated anthocyanins. Interaction networks between DEGs and differentially accumulated anthocyanins were visualized using Cytoscape 2.8.2 (Cho et al., 2016 (link)).
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Publication 2023
Anthocyanins Biosynthetic Pathways Flavonoids
Flavonoids were extracted from the seeds of litchi for LC-MS/MS analysis. The details of the extraction of the flavonoids from litchi seeds and the procedure of LC-MS/MS analysis for the identification and structural confirmation of the flavonoids can be found in the Supplementary Material.
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Publication 2023
Flavonoids Litchi chinensis Plant Embryos Tandem Mass Spectrometry
An Autoflex Speed MALDI time-of-fight (TOF)/TOF mass spectrometer (Bruker Daltonics) with a MALDI source equipped with a 2,000-Hz solid-state Smartbeam Nd : YAG UV laser (355 nm, Azura Laser AG, Berlin, Germany) was used for profiling and imaging (Figure 1D).
To acquire in situ (+) MS profiling data of flavonoids from the tissue sections, all mass spectra were obtained over the m/z range of 100 to 700, each mass spectrum included an accumulation of 50 laser scans, and each scan was amassed from 500 laser shots. Three biological replicates of the sample and three technical replicates of each biological replicate were performed for MALDI-MS data acquisition (n = 3 × 3). To acquire the images of flavonoids, a 250-μm laser raster step-size was utilized for flavonoid in situ detection in tissues, and each pixel (scan spot) included 300 laser shots. With the use of FlexImaging 4.1 (Bruker Daltonics), the three “teaching points” for the correct positioning of the solid-state UV laser (Smartbeam Nd : YAG) for spectral acquisition were marked around a tissue section using a white ink correction pen. The m/z values of the compound ions that can be used for external mass calibration were listed as follows: His ([M+H]+, m/z 156.0768), Gly-Gly-Leu (tripeptide, [M+H]+, m/z 246.1448), Ala-His-Lys (tripeptide, [M+H]+, m/z 355.2088), Leu-Leu-Tyr (tripeptide, [M+H]+, m/z 408.2493), and Arg-Gly-Asp-dTyr-Lys (pentapeptide, [M+H]+, m/z 620.3151). Gly-Gly-Leu (tripeptide, [M+H]+, m/z 246.1448) and Arg-Gly-Asp-dTyr-Lys (pentapeptide, [M+H]+, m/z 620.3151) ions were selected in combination with the matrix ion of 2-MBT([M+H]+, m/z 167.9942) for internal mass calibration in the cubic enhanced mode. For the MALDI-TOF-MS analysis, MS/MS spectra were acquired in collision-induced dissociation (CID) mode, and argon was used as the collision gas. The flavonoid fragment ions were acquired under the following condition: ion source 1, 19.0 kV; ion source 2, 17.4 kV; lens, 8.8 kV; reflector 1, 21.0 kV; reflector 2, 9.8 kV; and accelerating voltage, 20.0 kV. The UV laser power ranged from 65% to 90%. MS/MS spectra were recorded based on no less than 5,000 laser shots over the m/z range of 0 to 100 with a sampling rate of 2.00 G/s, a detector gain of 9.5×, and an electronic gain of 100 mV.
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Publication 2023
arginyl-glycyl-aspartic acid Argon Biopharmaceuticals Cuboid Bone Flavonoids glycyl-glycyl-leucine Lens, Crystalline leucyltyrosine Mass Spectrometry Radionuclide Imaging Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Tandem Mass Spectrometry Tissues YAG Lasers Z-100
For the MS profiling and MS/MS data analysis, Bruker FlexAnalysis 3.4 (Bruker Daltonics) was used for the preliminary viewing and processing of the mass spectra. Once the monoisotopic peak list was generated and exported, two metabolome databases (METLIN and HMDB) (Tautenhahn et al., 2012 (link); Wishart et al., 2022 (link)) were used for the search of the detected m/z values of precursor ions and CID fragment ions against potential metabolite identities within an acceptable mass error of ±5 ppm. Three ion adduct forms (i.e., [M + H]+, [M + Na]+, and [M + K]+) were considered for the database search. For MALDI tissue imaging, Bruker FlexImaging 4.1 software was used for the reconstitution of the ion maps of the detected flavonoids (Figure 1E). For the generation of the ion images using FlexImaging, the mass filter width was set at 5 ppm.
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Publication 2023
Flavonoids Mass Spectrometry Metabolome Microtubule-Associated Proteins Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Tandem Mass Spectrometry Tissues
A total of 211 compound classes were identified in the positive and negative ion modes. To visualize the compound class diversity, a sunburst plot was conducted (Fig. 4). The most prominently detected classes overall were carboxylic acids and derivatives (mainly due to amino acids, peptides, and analogues), followed by benzene and substituted derivatives, fatty acyls (largely fatty amides), organooxygen compounds (mostly carbohydrates and carbohydrate conjugates), prenol lipids (mostly diterpenoids, retinoids, and sesquiterpenoids), and flavonoids (mostly flavonoid glycosides and hydroxyflavonoids). A large number of features were also classified as stilbenes, the chemical class represented in the ClassyFire chemical ontology that encompasses the characteristic bibenzyls found in Radula spp. Known compounds from liverworts were tentatively annotated and are listed in Table 1.

Sunburst plot showing an overview on the richness of classified metabolite compounds. Broad compound classes are represented in the center while specific classifications are represented on the exterior. Colours correspond to the assigned classes. Due to readability the names of some classes were removed from the plot. An interactive zoomable plot is available in the supplementary vignettes and on Zenodo

Tentatively annotated liverwort specialized metabolites. Full details are found in the Supplementary Information

CompoundFormulaMolar MassIonizationTentative Feature
Bisabola-1,3,5,7(14),10- pentaeneC15H20200.32PositiveFT0671, FT0672
Ar-tenuifoleneC15H20200.32PositiveFT0671, FT0672
Eudesma-1,4(15)-11- trieneC15H22202.23PositiveFT0692
Myli-4(15)-eneC15H22202.33PositiveFT0692
Cis-calameneneC15H22202.33PositiveFT0692
CupareneC15H22202.33PositiveFT0692
XanthorrizolC15H22O218.33PositiveFT0828 - FT0832
2-cuparenolC15H22O218.33PositiveFT0828 - FT0832
CyclocolorenoneC15H22O218.33PositiveFT0828 - FT0832
β-herbertenolC15H22O218.33PositiveFT0828 - FT0832
Trans-NerolidolC15H26O222.37PositiveFT0861
(E)-farnesolC15H26O222.37PositiveFT0861
3-[2-(3-Methoxyphenyl)ethyl]phenolC15H16O2228.29PositiveFT0923, FT0925
3,4′-DimethoxybibenzylC16H18O2242.31PositiveFT1057, FT1059
1,2-Bis(3-methoxyphenyl)ethaneC16H18O2242.32PositiveFT1057, FT1059
Lunularic acidC15H14O4258.1NegativeFT0814-FT0820
Radulanin AC19H20O2280.37PositiveFT1451, FT1454, FT1458
2,2-Dimethyl-5-hydroxy- 7-(2-phenylethyl)- chromene*C19H20O2280.4PositiveFT1454, FT1458
4-(3-Methyl-2-butenyl)-5-phenethylbenzene-1,3-diolC19H22O2282.38PositiveFT1480, FT1483, FT1484, FT1487
NegativeFT1001, FT1008, FT1009, FT1011
4-PrenyldihydropinosylvinC19H22O2282.38PositiveFT1480, FT1483, FT1484, FT1487
NegativeFT1001, FT1008, FT1009, FT1011
Radulanin A methyl etherC20H22O2294.39PositiveFT1623, FT1624, FT1625, FT1626, FT1627
NegativeFT1111, FT1112
8-[2-(4-Hydroxyphenyl)ethyl]-3-methyl-2,5-dihydro-1-benzoxepin-6-olC19H20O3296.37NegativeFT1132, FT1133, FT1135, FT1136, FT1139, FT1140, FT1141, FT1142, FT1143, FT1144, FT1147
5-Methoxy-2-(3-methylbut-2-en-1-yl)-3-(2-phenylethyl)phenolC20H24O2296.41PositiveFT1658, FT1660
NegativeFT1146, FT1148
4-(3-Methyl-2-Butenyl)-5-(2-Phenylethyl)-3-MethoxyphenolC20H24O2296.41PositiveFT1658, FT1660
NegativeFT1146, FT1148
2-[(3,3-Dimethyloxiran-2-yl)methyl]-5-(2-phenylethyl)benzene-1,3-diolC20H24O2296.41PositiveFT1658, FT1660
NegativeFT1146, FT1148
3-Methoxy-5-(2-phenylethyl)-2-prenylphenolC20H24O2296.41PositiveFT1658, FT1660
NegativeFT1146, FT1148
2-[(3,3-Dimethyloxiran-2-yl)methyl]-5-(2-phenylethyl)benzene-1,3-diolC19H22O3298.38NegativeFT1167, FT1168
Kaempferol 3-methyl-etherC16H12O6300.26NegativeFT1200, FT1201
2,2-Dimethyl-5-hydroxy-7-(2-phenylethyl)-2 H-1-benzopyran-6-carboxylic acidC20H20O4324.38NegativeFT1483, FT1484, FT1485, FT1486, FT1489, FT1491, FT1494, FT1496
Radulanin EC20H20O4324.38NegativeFT1483, FT1484, FT1485, FT1486, FT1489, FT1491, FT1494, FT1496
Radulanin HC20H20O4324.4PositiveFT2017 - FT2020
NegativeFT1484-1486, FT1489-1494, FT1496
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Publication 2023
11-dehydrocorticosterone Amides Amino Acids Benzene Benzopyrans Bibenzyls Carbohydrates Carboxylic Acids derivatives Diterpenes Flavonoids Glycosides Lipids Liverworts Peptides prenol Retinoids Sesquiterpenes Stilbenes

Top products related to «Flavonoids»

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Quercetin is a natural compound found in various plants, including fruits and vegetables. It is a type of flavonoid with antioxidant properties. Quercetin is often used as a reference standard in analytical procedures and research applications.
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Gallic acid is a naturally occurring organic compound that can be used as a laboratory reagent. It is a white to light tan crystalline solid with the chemical formula C6H2(OH)3COOH. Gallic acid is commonly used in various analytical and research applications.
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Rutin is a laboratory reagent used for analytical and research purposes. It is a flavonoid compound derived from various plant sources. Rutin exhibits antioxidant and anti-inflammatory properties, and is commonly used in assays, chromatography, and other analytical techniques.
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Catechin is a natural polyphenolic compound found in various plants, including green tea. It functions as an antioxidant, with the ability to scavenge free radicals and protect cells from oxidative stress.
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Kaempferol is a chemical compound used as a lab equipment product. It is a type of flavonoid, a class of plant-based compounds. Kaempferol is primarily used in research and scientific applications.
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The Folin-Ciocalteu reagent is a colorimetric reagent used for the quantitative determination of phenolic compounds. It is a mixture of phosphomolybdic and phosphotungstic acid complexes that undergo a color change when reduced by phenolic compounds.
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DMSO is a versatile organic solvent commonly used in laboratory settings. It has a high boiling point, low viscosity, and the ability to dissolve a wide range of polar and non-polar compounds. DMSO's core function is as a solvent, allowing for the effective dissolution and handling of various chemical substances during research and experimentation.
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DPPH is a chemical compound used as a free radical scavenger in various analytical techniques. It is commonly used to assess the antioxidant activity of substances. The core function of DPPH is to serve as a stable free radical that can be reduced, resulting in a color change that can be measured spectrophotometrically.
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Naringenin is a flavanone compound found in various citrus fruits. It is a crystalline solid commonly used as a reference standard and reagent in research and analytical applications involving the identification and quantification of flavonoids.
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Methanol is a clear, colorless, and flammable liquid that is widely used in various industrial and laboratory applications. It serves as a solvent, fuel, and chemical intermediate. Methanol has a simple chemical formula of CH3OH and a boiling point of 64.7°C. It is a versatile compound that is widely used in the production of other chemicals, as well as in the fuel industry.

More about "Flavonoids"

Flavonoids are a diverse group of natural, plant-derived polyphenolic compounds with a wide range of biological activities.
These phytochemicals play crucial roles in plant defense mechanisms and have garnered significant interest for their potential health benefits, including antioxidant, anti-inflammatory, and neuroprotective properties.
Flavonoids can be classified into several subgroups, such as flavones, flavonols, flavanones, and isoflavones, based on their structural characteristics.
Researchers are actively involved in the identification, isolation, and characterization of these versatile compounds, which have potential applications in the pharmaceutical, nutraceutical, and cosmetic industries.
Compounds like Quercetin, Gallic acid, Rutin, Catechin, Kaempferol, Naringenin, and others are examples of specific flavonoids that have been extensively studied for their unique properties.
Analytical techniques like the Folin-Ciocalteu reagent and DPPH assays are commonly used to evaluate the antioxidant activity of flavonoids.
The use of solvents like Methanol and DMSO is also prevalent in flavonoid research, as they aid in the extraction and solubilization of these compounds.
PubCompare.ai offers a powerful AI-driven platform to optimize flavonoid research by facilitating the discovery of the best protocols from literature, preprints, and patents, enhancing reproducibility and accuracy.
Leveraging cutting-edge AI technology, PubCompare.ai helps researchers navigate the complex landscape of flavonoid research and make informed decisions.