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Flavones

Flavones are a class of plant-derived polyphenolic compounds known for their potential health benefits.
These natural compounds have been the focus of extensive research, with scientists investigating their antioxidant, anti-inflammatory, and neuroprotective properties.
Utilizing PubCompare.ai's AI-powered platform, researchers can streamline their Flavones studies by easily accessing relevant literature, pre-prints, and patents.
The platform's optimized protocols and comparative analysis tools help identify the most effective experimental approaches and products, enhancing reproducibility and accuracy in Flavones research.
By leveraging the power of PubCompare.ai, scientists can accelerate their discoveries and unlock new insights into the therapeutic potential of these fascinating plant-based molecules.

Most cited protocols related to «Flavones»

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Publication 2015
Anthocyanidins Anti-Inflammatory Agents Biological Markers Cell Culture Techniques Diet Eugenol flavan-3-ol Flavones Flavonols Food Garlic Homo sapiens IL10 protein, human Inflammation Interleukin-1 beta Nutrients Origanum vulgare Piper nigrum Population Group Saffron Tumeric Tumor Necrosis Factor-alpha Zingiber officinale

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Publication 2004
Acetic Acid Anthocyanins Chalcones Coumaric Acids Coumarins Curcuminoid Ellagitannins Flavanones Flavones Flavonols formic acid Gallotannins High-Performance Liquid Chromatographies Hydroxybenzoic Acids Isoflavones Leucoanthocyanidins Lignans Medicinal Herbs Methanol Proanthocyanidins Quinones Retention (Psychology) sodium phosphate Stilbenes Tannins
The analysis was previously described by Sokół-Łętowska et al. [51 (link)]. The HPLC-PDA analysis was performed using a Dionex (Germering, Germany) system equipped with the diode array detector model Ultimate 3000, quaternary pump LPG-3400A, autosampler EWPS-3000SI, thermostated column compartment TCC-3000SD, and controlled by Chromeleon v.6.8 software (Thermo Scientific Dionex, Sunnyvale, CA, USA). The Cadenza Imtakt column C5-C18 (75 × 4.6 mm, 5 μm) was used. The mobile phase was composed of solvent C (4.5% aq. formic acid, v/v) and solvent D (100% acetonitrile). The elution system was as follows: 0–1 min 5% D in C, 20 min 25% D in C, 21 min 100% D, 26 min 100% D, 27 min 5% D in C. The flow rate of the mobile phase was 1.0 mL/min and the injection volume was 20 μL. The column was operated at 30 °C. Iridoids were detected at 245 nm, flavan-3-ols at 280 nm, phenolic acids and their derivatives at 320 nm, flavonols, flavanonols, flavones and flavanones at 280 and 360 nm, and anthocyanins at 520 nm.
Loganic acid and its derivatives were expressed as mg of loganic acid equivalents (LAE) per 100 g fresh weight (fw), loganin, sweroside and their derivatives as loganin equivalents (LoE) per 100 g fw, anthocyanins as cyanidin 3-O-glucoside equivalents (CygE) per 100 g fw, derivatives of quercetin and taxifolin as quercetin 3-O-glucoside equivalents (QgE) per 100 g fw, luteolin -O-dihexoside-hexoside as luteolin 7-O-glucoside equivalents (LgE) per 100 g fw, caffeoylquinic acids as mg of 5-O-caffeoylquinic (chlorogenic) acid equivalents (ChAE) per 100 g fw. Solutions of standards (1 mg/ml) were dissolved in 1 mL of methanol. The appropriate amounts of stock solutions were diluted with 50% aqueous methanol (v/v) acidified with 1% HCl in order to obtain standard solutions. Analytical characteristics for determination of phenolic compounds and iridoids are shown in Table S3.
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Publication 2017
acetonitrile Anthocyanins caffeoylquinic acid Chlorogenic Acid cyanidin 3-O-glucoside derivatives Flavanones Flavones Flavonols formic acid High-Performance Liquid Chromatographies hydroxybenzoic acid Iridoids loganic acid loganin luteolin-7-O-glucoside Methanol Quercetin quercetin 3'-O-glucoside Solvents sweroside taxifolin
While recognizing chemical mentions is valuable, many tasks ultimately require the mention to be identified or normalized. We have thus paired our named entity recognition system with a straightforward lexical approach for normalization. Our lexicon of chemical entities and their names was collected from MeSH [32 (link)] and ChEBI [33 (link)]. The system converts both mentions from the literature and entity names in the lexicon to lowercase and removes all whitespace and punctuation. For example, "flavone-C-glycoside" becomes "flavonecglycoside." The system then assigns a MeSH identifier to those mentions which can be found in the lexicon, or a ChEBI identifier if a matching MeSH identifier cannot be found. Mentions that correspond to a short form recognized by Ab3P are assigned the same identifier as the long form found by Ab3P [29 (link)]. Mentions which do not map to a specific identifier are ignored and mentions which can be assigned to both a MeSH and ChEBI identifier are only assigned the MeSH identifier.
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Publication 2015
Flavones Glycosides
The DII® is a score originally developed using 45 parameters (specific foods and nutrients) as indicated by a literature review of associations with six inflammatory biomarkers (IL-1β, IL-4, IL-6, IL-10, TNFα, and CRP) quantified in around 2000 peer-reviewed articles. An individual’s DII score, which is computed from the FFQ, is compared to food consumption data from eleven populations around the world. Details of the development (14 (link)) and construct validation (16 (link)) of the DII have been described elsewhere. The overall DII score characterises an individual’s diet on a continuum from anti-inflammatory (the low end of the scale) to pro-inflammatory (the high end of the scale). The DII score can be calculated using >20 items from the desired list of food parameters. In the LBC1936 study, 26 parameters were available for inclusion in the overall DII score, namely: energy; carbohydrate; protein; total fat; saturated fat; cholesterol; iron (which contribute positively to the calculation of the overall DII score), and polyunsaturated fat; fibre; thiamine; riboflavin; vitamins B6, B12, C, D, E; zinc; selenium; folic acid; beta-carotene; flavonol; flavonones; flavones; alcohol; tea; and total caffeine (which contribute negatively to the calculation of the overall DII score). The dietary parameter values were summed to create an overall DII score. To control for the effect of total energy intake, we calculated the energy-adjusted version of the DII per 1,000 calories of food consumed (the E-DII), using the energy-standardized version of the world database. All calculations in the current study were performed according to standard DII protocol (14 (link)).
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Publication 2019
Anti-Inflammatory Agents beta Carotene Biological Markers Caffeine Carbohydrates Cholesterol Diet Ethanol Fibrosis Flavones Flavonols Folic Acid Food IL10 protein, human Inflammation Interleukin-1 beta Iron Nutrients PER1 protein, human Population Group Proteins Riboflavin Saturated Fatty Acid Selenium Therapy, Diet Thiamine Tumor Necrosis Factor-alpha Vitamin B6 Zinc

Most recents protocols related to «Flavones»

The 3 different T. comosus dried extracts (100 mg each one) were dissolved in 2 ml of the corresponding extraction solvents, namely water (TCI), ethanol 70% (TCT), and ethanol 50% (OpTC). After centrifugation (6,000 × g, 10 min, at 4°C), the supernatants were transferred to HPLC vials and supposed to untargeted phenolic profiling through high-resolution mass spectrometry (HRMS) using a Q-Exactive™ Focus Hybrid Quadrupole-Orbitrap Mass Spectrometer (Thermo Scientific, Waltham, MA, United States) coupled to a Vanquish ultra-high-pressure liquid chromatography (UHPLC) pump, equipped with heated electrospray ionization (HESI)-II probe (Thermo Scientific, United States) (Babotă et al., 2022 (link); Nicolescu et al., 2022 (link)). The post-acquisition data filtering was accomplished using MS-DIAL software (version 4.70), while the annotation was achieved via spectral matching against FoodDB and Phenol-Explorer databases. Overall, the mass accuracy (setting a 5-ppm tolerance for m/z values), isotopic pattern, and spectral matching were used to calculate a total identification score, considering the most common HESI + adducts for the chromatographic conditions adopted, thus reaching a level 2 of confidence in annotation.
Semi-quantitative appreciation of each previously annotated phenolic class was made by analyzing representative pure standard compounds under the same conditions: ferulic acid (phenolic acids), quercetin (flavonols), catechin (flavanols), cyanidin (anthocyanins), luteolin (flavones and other flavonoids), resveratrol (stilbenes), and oleuropein (other remaining phenolics). A linear fitting (R2 > 0.99) was built and used for quantification, results being expressed as mg equivalents (Eq.)/g lyophilized extract (n = 3).
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Publication 2023
allobarbital Anthocyanins Catechin Centrifugation Chromatography cyanidin Ethanol ferulic acid Flavones Flavonoids Flavonols High-Performance Liquid Chromatographies Hybrids hydroxybenzoic acid Immune Tolerance Isotopes Luteolin Mass Spectrometry oleuropein Phenol Quercetin Resveratrol Solvents Stilbenes
Intakes of total flavonoids and each flavonoid subclass in our study were downloaded from Flavonoid Values for US Department of Agriculture Survey Foods and Beverages (16 (link)), which are derived from (i) Database of Flavonoid Values for Food Codes; (ii) Flavonoid Intake Data Files from What We Eat in America and NHANES. The flavonoid database included data on the 6 main flavonoid subclasses: (i) flavones (apigenin and luteolin); (ii) anthocyanins (cyanidin, delphinidin, malvidin, pelargonidin, peonidin, and petunidin); (iii) flavanones (eriodictyol, hesperetin, and naringenin), (iv) flavonols (isorhamnetin, kaempferol, myricetin, and quercetin); (v) flavan-3-ols [catechins including: (−)-epicatechin, (−)-epicatechin 3-gallate, (−)-epigallocatechin, (−)-epigallocatechin 3-gallate, (+)-catechin, (+)-gallocatechin; theaflavin, theaflavin-3,3′-digallate, theaflavin-3′-gallate, theaflavin-3-gallate, and thearubigins]; (vi) isoflavones (daidzein, genistein, and glycitein), total flavones, total anthocyanidins, total flavanones, total flavan-3-ols, total flavonols, total isoflavones, subtotal catechins, and total flavonoids Daily flavonoid intake per participant was determined on the first and second days, and the mean of the two-day flavonoid intake was used in subsequent analyses.
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Publication 2023
3-methylquercetin Anthocyanidins Anthocyanins Apigenin Beverages Catechin cyanidin daidzein delphinidin Epicatechin epicatechin-3-gallate epigallocatechin epigallocatechin gallate eriodictyol Flavanones Flavones Flavonoids Flavonols Food gallocatechol Genistein glycitein hesperetin Isoflavones kaempferol Luteolin malvidin myricetin naringenin pelargonidin peonidin petunidin Quercetin theaflavin theaflavine gallate
Flavone was purchased from Sigma-Aldrich chemicals
and used without
any purification. R2PI experiments have been performed employing a
molecular beam setup described previously.35 (link) (see also Supporting Information SI1).
Briefly, flavone was heated up to 150 °C within a glass container
in order to obtain sufficient vapor pressure and expanded using neon
at 1.5 bar as a carrier gas through a General Valve pulsed nozzle
with a 0.5 mm orifice diameter, which was kept 5 °C higher than
the main body in order to avoid clogging. After being skimmed by a
2 mm skimmer, the molecular beam entered an ionization chamber where
ions or electrons were detected using either a reflection time-of-flight
(R.M. Jordan Co.) setup for mass-resolved ion detection or a custom-built
setup (R.M. Jordan Co.) for electron detection.
(1 + 1′)
R2PI excitation spectra were recorded using a frequency-doubled
Sirah Cobra-Stretch dye laser operating on DCM/Pyrromethene 597 pumped
by a Spectra-Physics Lab 190 Nd/YAG laser for excitation and a Neweks
PSX-501 ArF excimer laser (193 nm, 6.42 eV) for ionization. Typically,
pulse energies of 10–50 μJ and 1 mJ were used for excitation
and ionization, respectively. For recording ionization threshold spectra,
the same pulsed dye laser system has been used in combination with
another pulsed dye laser system consisting of a frequency-doubled
Sirah Precision Scan dye laser operating on DCM or Pyrromethene 597
and pumped by a Spectra Physics Lab 190 Nd/YAG laser. In these experiments,
typical pulse energies were employed of 1 mJ for the pump laser and
2–4 mJ for the probe laser.
In order to analyze the observed
electronic transitions and to
determine the ionization energy of flavone and its complexes, DFT
has been used to determine the equilibrium geometries and harmonic
force fields of flavone in the electronic ground state of the neutral
(S0) and cation (D0), while time-dependent DFT
(TD-DFT) was employed to optimize the geometry of the molecule in
the first three electronically excited singlet states of the neutral
and to determine the associated harmonic force fields. Such calculations
have been performed at both the B3LYP/TVZP and wB97XD/cc-pVDZ level.36 (link)−39 (link) For comparison with the experimental results, the obtained equilibrium
geometries and force fields were used to obtain Franck–Condon
spectra at wB97XD/cc-pVDZ level for Sn ← S0 transitions for which vibrational frequencies
were scaled using a scaling factor of 0.953.40 (link),41 All calculations have been performed with the Gaussian16, Rev.C.01
suite of programs.42
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Publication 2023
A-factor (Streptomyces) Argon Fluoride Excimer Lasers Cobra Electrons factor A Flavones Human Body Lasers, Dye Neodymium-Doped Yttrium Aluminum Garnet Lasers Pulsed Dye Lasers Pulse Rate pyrromethene 597 Radionuclide Imaging Reflex Vapor Pressure Vibration
Dried leaves (200 mg) were extracted with 10 mL of methanol containing 0.1 N HCl for 12 h at room temperature. After filtration, the extract was analyzed using an Agilent LC-MS system (Agilent Technologies, Palo Alto, CA, USA), consisting of an analytical 1200 HPLC system with a Shiseido MG II C18 analytical column (250 × 4.6 mm i.d., 5 μm particle size) and a 6120-quadrupole mass spectrometer with electrospray ionization (ESI). The mobile phase was made up of acetonitrile (A) and water (B), with 0.3% formic acid, respectively. The gradient was run as follows: 15% solvent A for 10 min, 15–40% solvent A for 18 min, 40–90% solvent A for 7 min, held at 90% solvent A for 5 min, and then returned to 15% solvent A for column equilibration. The separated components were detected at 330 nm for CQAs and flavonoids, and 520 nm for anthocyanins. Mass data were collected in full scan mode in positive ion mode from m/z 50 to 1000 under a 5 mL min-1 drying gas flow, 150°C vaporizing temperature, 60 psi nebulizing gas (N2) pressure, and 30°C drying gas temperature.
To determine and quantify phenolic compounds, we used the same HPLC conditions described above. An Agilent 1200 HPLC system equipped with a binary pump (G1312A), auto sampler (G1347B), PDA detector (G1315D), column oven (G1316A), and ChemStation, using an external standard method with a calibration curve, was used for HPLC analysis. In total, ten phenolic compounds, including four hydroxycinnamic acids, two flavonols, two flavones, and two anthocyanins, were used for calibration curve conduction in the range of 31.25 to 250 ppm. 2’’-Acetylhyperoside was quantified as a relatively equivalent value to hyperoside. All experiments were performed in triplicate.
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Publication 2023
acetonitrile Anthocyanins ARID1A protein, human Coumaric Acids Electric Conductivity Filtration Flavones Flavonoids Flavonols formic acid High-Performance Liquid Chromatographies hyperoside Methanol Pressure Radionuclide Imaging Solvents
The dietary flavonoid values in our study were obtained from the database of flavonoid values for USDA Survey Foods and Beverages (flavonoid database for short), which was established in 2003–2004 [19 ]. The flavonoid database provides the flavonoid values in foods and beverages in the USDA Food and Nutrient Database for Dietary Studies (FNDDS) [20 ] and corresponding dietary data from WWEIA [21 ] and NHANES. The amounts of 29 flavonoids (mg/100 g) in each food/beverage were determined by the USDA Nutrient Data Laboratory [22 (link)]. The dietary intake of flavonoids was calculated on days 1 and 2, including the six main flavonoid subclasses commonly consumed in the US diet, namely total anthocyanins (cyanidin, delphinidin, malvidin, pelargonidin, peonidin, and petunidin), total flavan-3-ols ((-)-epicatechin, (-)-epicatechin 3-gallate, (-)-epigallocatechin, (-)-epigallocatechin 3-gallate, (+)-catechin, (+)-gallocatechin, theaflavin, theaflavin-3,3′-digallate, theaflavin-3′-gallate, theaflavin-3-gallate, and thearubigins), total flavanones (eriodictyol, hesperetin, and naringenin), total flavones (apigenin and luteolin), total flavonols (isohamnetin, kaempferol, myricetin, and quercetin), total isoflavones (diadzein, genistein, and glycitein), and subtotal catechins ((-)-epicatechin, (-)-epicatechin 3-gallate, (-)-epigallocatechin, (-)-epigallocatechin 3-gallate, (+)-catechin, and (+)-gallocatechin). The retention factors for cooked foods were introduced in the estimation of the flavonoid amounts. For moist-heat cooking, a loss of 50% was applied to anthocyanidins, as well as one reduction of 15% to flavonols, flavan-3-ols, flavanones, and flavones. No retention factors were implemented for isoflavones and dry heat cooking [20 ]. The association between individual flavonoid intake grouped by flavonoid subclasses was analyzed using the Pearson correlation method.
Based on the stratified and multistage probability sampling designed in the NHANES, we used the mean of the two-day intake of each flavonoid, as well as the weights “wtdr2d” constructed for participants who completed two days of dietary recall in making estimates representative of the US non-hospitalized population [18 ].
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Publication 2023
Anthocyanidins Anthocyanins Apigenin Beverages Catechin cyanidin daidzein delphinidin Diet Epicatechin epicatechin-3-gallate epigallocatechin epigallocatechin gallate eriodictyol Flavanones Flavones Flavonoids Flavonols Food gallocatechol Genistein glycitein hesperetin Isoflavones kaempferol Luteolin malvidin Mental Recall myricetin naringenin Nutrients pelargonidin peonidin petunidin Quercetin Retention (Psychology) theaflavin theaflavine gallate

Top products related to «Flavones»

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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.
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Flavone is a laboratory equipment product manufactured by Merck Group. It is a flavonoid compound used as a chemical reagent in various analytical and research applications.
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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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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.
The Analyzer2200 is a laboratory instrument designed for the analysis of various samples. It offers precise and efficient data collection capabilities to support research and testing activities.
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Acetonitrile is a colorless, volatile, flammable liquid. It is a commonly used solvent in various analytical and chemical applications, including liquid chromatography, gas chromatography, and other laboratory procedures. Acetonitrile is known for its high polarity and ability to dissolve a wide range of organic compounds.
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Formic acid is a colorless, pungent-smelling liquid chemical compound. It is the simplest carboxylic acid, with the chemical formula HCOOH. Formic acid is widely used in various industrial and laboratory applications.
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Luteolin is a laboratory equipment product manufactured by Merck Group. It is a flavonoid compound used as a chemical standard and reference material for analytical and research applications.
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6-hydroxyflavone is a chemical compound commonly used in research and laboratory settings. It is a type of flavonoid, a class of natural compounds found in various plants. The core function of 6-hydroxyflavone is to serve as a research tool and analytical standard in scientific investigations, particularly in the fields of chemistry, biochemistry, and pharmacology.
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7-hydroxyflavone is a chemical compound used in laboratory research. It is a flavone derivative with a hydroxyl group attached at the 7th position on the flavone core structure. This compound is primarily utilized as a research tool in various scientific investigations, but its specific applications and intended uses are not included in this factual description.

More about "Flavones"

Flavones are a diverse class of polyphenolic compounds found in a variety of plants.
These natural substances, also known as flavonoids, have garnered significant attention due to their potential health benefits.
Flavonoids, including flavones, have been extensively studied for their antioxidant, anti-inflammatory, and neuroprotective properties.
Researchers investigating the therapeutic potential of flavones often utilize platforms like PubCompare.ai, which provides AI-powered tools to streamline their studies.
By accessing relevant literature, preprints, and patents through the platform, scientists can identify the most effective experimental approaches and products, enhancing the reproducibility and accuracy of their flavones research.
Flavones, such as Luteolin, 6-hydroxyflavone, and 7-hydroxyflavone, are often studied in conjunction with other related compounds like Methanol, DMSO, Quercetin, and Acetonitrile.
Formic acid may also be employed as a solvent or additive in flavones-related analyses.
The Analyzer2200 is an example of an instrument that can be used to characterize and quantify these plant-derived polyphenols.
By leveraging the insights and capabilities offered by platforms like PubCompare.ai, researchers can accelerate their discoveries and unlock new understandings about the therapeutic potential of these fascinating plant-based molecules.
With its optimized protocols and comparative analysis tools, the platform empowers scientists to enhance the efficiency and reliability of their flavones research.