Flavones: Structural Features, Physicochemical Properties, and Key Points for Research and Applications
Flavones: Structural Features, Physicochemical Properties, and Key Points for Research and Applications
Flavones are a class of polyphenolic compounds built on the C6–C3–C6 scaffold and represent an important group of plant secondary metabolites. They widely participate in plant stress resistance, signaling regulation, and pigment formation. Natural flavones have high research and application value in pharmaceuticals, foods, and functional products. Their chemical diversity mainly arises from differences in core oxidation state, variation in the B-ring linkage position, and substituent modifications such as hydroxylation, methoxylation, and glycosylation, as well as polymerization or fusion with other scaffolds. Based on whether a hydroxyl group is present at the C5 position of the A ring, flavonoids can be divided into C5-hydroxylated flavonoids and C5-deoxy flavonoids. The former are widely distributed in plants, while the latter are relatively rare and mainly found in legumes. Because natural sources of C5-deoxy flavonoids are limited, heterologous biosynthesis and pathway rewiring in engineered microorganisms has become an important route to scalable production.
Keywords: flavone; C6–C3–C6; flavone glycosides; O-glycosides; C-glycosides; C5-hydroxylation; 5-deoxy flavones; antioxidation; TLR/NF-κB; HPLC; heterologous biosynthesis
I. Structural Basis and Physicochemical Properties
1.1 Core scaffold and sources of structural diversity
(1) Core scaffold:
Flavones follow the C6–C3–C6 framework, consisting of two aromatic rings (A and B) linked by a three-carbon unit that commonly cyclizes into an oxygen-containing heterocycle (C ring), yielding a benzopyranone-like core.
(2) Structural diversity
① Oxidation differences in the central three-carbon unit: define subclasses such as flavones, flavonols, and dihydroflavones.
② B-ring linkage position: 2-position linkage yields “flavone-type” frameworks, while 3-position linkage yields “isoflavone-type” frameworks, and related variants.
③ Substituent modifications: hydroxylation, methoxylation, glycosylation, and acylation can strongly shift polarity, stability, membrane permeability, and activity spectra.
1.2 Glycosylation and solubility–stability relationships
(1) Prevalence of glycosides:
Many natural flavones occur as glycosides. Sugar type (e.g., glucose, rhamnose), number of sugars, and linkage mode (O-glycoside vs C-glycoside) govern polarity and physicochemical behavior.
(2) Solubility patterns:
Longer sugar chains generally increase polarity and water solubility. Aglycones (e.g., quercetin, in a broader flavonoid context) typically show low water solubility but moderate solubility in methanol or ethanol.
(3) Solid-state behavior:
Glycosides are often amorphous powders, whereas aglycones more readily form crystalline solids, reflecting how glycosidic substitution disrupts lattice regularity.
1.3 Phenolic hydroxyls: acidity, chelation, and redox properties
(1) Acidity:
Flavones are weak acids due to phenolic hydroxyls, with acidity depending on hydroxyl number and position; catechol motifs can enhance acidity via hydrogen bonding and resonance.
(2) Chelation:
Specific hydroxyl arrangements can chelate metal ions, affecting color reactions and antioxidant behavior.
(3) Redox activity:
Conjugation and H-donating capacity support radical scavenging and lipid oxidation chain suppression, but activity is strongly modulated by substitution patterns and aggregation state.
II. Classification Systems and Representative Subclasses
2.1 Common classification by core type
(1) Flavones and flavonols:
2-phenylchromenone cores and hydroxylated derivatives; flavonols are abundant, with common representatives including quercetin and kaempferol.
(2) Dihydroflavones and dihydroflavonols:
Saturation at the C2–C3 bond; often co-occur with corresponding flavones/flavonols.
(3) Isoflavones and dihydroisoflavones:
Altered B-ring linkage (3-phenylchromenone skeleton), enriched in legumes; representatives include puerarin and daidzein derivatives.
(4) Chalcones and dihydrochalcones:
Open-chain analogs lacking C-ring closure; can interconvert with dihydroflavones and are associated with color changes.
(5) Flavanones, anthocyanins, and flavan-3-ols:
Cover structural shifts and ionic chromophore derivatives associated with yellow/orange and red/blue/purple coloration, respectively.
2.2 C5 hydroxylation vs 5-deoxy flavones
(1) C5-hydroxylated flavonoids:
Widely distributed and dominate common plant flavonoid structures.
(2) C5-deoxy flavonoids:
Relatively rare, mainly in legumes. Limited natural availability motivates engineered-microbe heterologous biosynthesis as an alternative production route.
III. Color Reactions and Analytical Identification
3.1 Structural basis of coloration
(1) Conjugation-driven color:
Cross-conjugated systems in flavone cores determine visible-light absorption and color. Electron transfer, rearrangements, or conjugation extension can red-shift absorption and shift color from yellow toward orange/red.
3.2 Common qualitative reactions and analytical indicators
(1) HCl–Mg (or Zn) reaction:
A classical qualitative test for rapid flavonoid screening.
(2) NaBH4 reaction:
Relatively selective for certain dihydroflavonoid contexts and can help differentiate structural types.
(3) Metal-complex coloration:
Complexes with AlCl3 or aluminum nitrate often appear yellow and may fluoresce, supporting qualitative and quantitative analysis and spectroscopic detection.
3.3 Quantitation and structure elucidation workflows
(1) HPLC/UPLC:
Used for separation and quantitation in complex matrices; external or internal standard strategies support concentration calculation. DAD coupling provides characteristic UV–Vis spectra.
(2) LC-MS:
Supports molecular mass, fragmentation patterns, and glycosylation-type assignment, especially for complex glycoside systems.
(3) NMR:
Critical for confirming substitution positions, glycosidic linkage sites, and stereochemical information.
IV. Bioactivity Mechanism Framework and Evidence Chains
4.1 Antioxidation and metal chelation mechanisms
(1) Radical scavenging:
Via hydrogen donation, electron transfer, and resonance stabilization, reducing ROS-driven chain reactions.
(2) Lipid peroxidation suppression:
Can inhibit lipid peroxidation at different stages; some reports compare effects to vitamin E, but outcomes depend on structure, concentration, and system context.
(3) Chelation of pro-oxidant metals:
Chelation of Fe/Cu can reduce Fenton-type ROS generation, acting as an indirect antioxidant mechanism.
4.2 Inflammation modulation and immune signaling
(1) TLR/NF-κB axis:
Many studies link anti-inflammatory effects to modulation of TLR/NF-κB signaling, reflected by reduced inflammatory gene expression and enzymatic activity readouts.
(2) COX/LOX pathways:
Impacts on cyclooxygenase and lipoxygenase-related mediator production can shift inflammatory mediator profiles.
(3) Leukocyte migration and tissue injury:
In some models, flavones modulate immune-cell recruitment and activation, lowering inflammatory injury risk, but extrapolation requires model- and dose-window constraints.
4.3 Antimicrobial and anticancer research signals
(1) Antimicrobial activity:
May involve membrane interactions, metal chelation, redox perturbation, and signaling regulation, typically species- and structure-dependent.
(2) Anticancer activity:
In cell models, flavones can induce apoptosis or suppress proliferation with strong cell-type and dose-window dependence; hematologic malignancy cells sometimes show higher sensitivity, whereas solid tumors often require higher exposure.
(3) Evidence requirements:
Anticancer conclusions should integrate cell-cycle/apoptosis markers, ROS/mitochondrial readouts, and pathway-protein changes to avoid confusing non-specific cytotoxicity with mechanism-based anticancer effects.
V. Natural Sources and Preparation Strategies
5.1 Natural sources and representative materials
(1) Broad distribution:
Flavones occur widely across plants, berries, and botanical medicines; common sources include green tea, propolis, and various aromatic/medicinal plants.
(2) Source-material differences:
Plant part (leaf, flower, peel, seed) drives strong compositional differences, so extraction and standardization should be guided by target analytes.
5.2 Extraction, purification, and formulation
(1) Solvent extraction:
Glycosides favor more polar solvents; aglycones often extract better in moderately polar organic solvents. Processes balance recovery, impurity profiles, and safety.
(2) Purification routes:
Macroporous resin adsorption, column chromatography, and preparative HPLC are common.
(3) Solubility enhancement:
For aglycones with limited water solubility, strategies include nanonization, cyclodextrin inclusion, salt formation, or carrier complexation to improve dispersion and bioaccessibility.
5.3 Heterologous biosynthesis in engineered microorganisms
(1) Motivation:
5-deoxy flavones have limited natural distribution, making plant extraction insufficient for scale and cost targets.
(2) Technical route:
Reconstruct phenylpropanoid and flavone biosynthesis modules in microbes, and use enzyme engineering to improve key-step selectivity and flux.
(3) Quality control:
Monitor product and byproduct profiles quantitatively to ensure structural consistency and process stability.
VI. Industrial Applications and R&D Focus Points
6.1 Pharmaceutical and nutraceutical contexts
(1) Functional directions:
Antioxidation, anti-inflammation, and metabolism-related phenotypes are common themes, but product contexts require dose–response mapping and safety boundaries.
(2) Drug–metabolism interactions:
Flavones can inhibit or induce drug-metabolizing enzymes; evaluate PK interaction risks, especially under high-dose or long-term exposure.
6.2 Food and additive applications
(1) Antioxidation and preservation:
Can suppress lipid oxidation and improve shelf stability, but must be assessed for flavor, color, and processing stability impacts.
(2) Coloring and color development:
Certain flavone and anthocyanin-related systems act as natural colorants; pH, metals, light, and oxygen control is required to maintain color stability.
6.3 Cosmetics and topical formulations
(1) Skin antioxidation and anti-inflammation:
Used as candidate antioxidant/soothing ingredients, requiring evaluation of photostability, formulation compatibility, and irritation risk.
(2) Delivery systems:
Nano-carriers or inclusion complexes can improve stability and skin access but require parallel safety and long-term stability validation.
VII. Research Use Notes and Quality Control
7.1 Structural heterogeneity and standardization
(1) Chemical heterogeneity:
“Total flavones” is not equivalent to consistent activity; bioactivity differs strongly across substitution and glycosylation forms.
(2) Standardization strategy:
Combine fingerprint profiling with quantitation of key marker compounds, defining batch-variation thresholds.
7.2 Bioavailability and in vitro–in vivo gaps
(1) Solubility limits:
Low water solubility of aglycones can reduce in vivo effective exposure; high-dose in vitro results should not be directly extrapolated.
(2) Metabolic transformation:
Glycoside hydrolysis, phase II metabolism (glucuronidation/sulfation), and microbiome conversion alter active forms and exposure windows; clarify whether the measured target is parent compound or metabolites.
7.3 Assay and model control essentials
(1) Antioxidant assays:
Chemical assays (DPPH, ABTS) reflect only in vitro scavenging; link to cellular ROS, lipid peroxidation, and antioxidant-enzyme readouts.
(2) Anti-inflammatory assays:
Report cytotoxicity, apply cell-number normalization, and include pathway-protein readouts to avoid pseudo anti-inflammatory effects driven by reduced viability.
(3) Antimicrobial/anticancer assays:
Include solvent controls, assess permeability and protein binding, and use multi-endpoint designs to close mechanistic loops.
VIII. Aladdin-Related Products
8.1 Representative Compounds and Reference Standards for Flavone/Isoflavone Structure–Property–Analytics Studies
Catalog No. | Product Name | CAS No. | Grade and Purity | Use Stage | Role in the System |
Flavone | 525-82-6 | Moligand™, ≥98% | Core scaffold / benchmark | Benchmark flavone scaffold for establishing UV absorption features, chromatographic retention behavior, and structure–property comparison references | |
Flavone | 525-82-6 | Moligand™, 10 mM in DMSO | Cell / mechanistic studies | Ready-to-use stock enables standardized dosing and concentration gradients; used to assess baseline scaffold effects and control solvent variables | |
3-Hydroxyflavone | 577-85-5 | ≥98%(HPLC)(T) | Structure–property control | Evaluates effects of introducing 3-OH on acidity, hydrogen bonding, conjugation, and redox behavior | |
3-Hydroxyflavone | 577-85-5 | 10 mM in DMSO | Cell / mechanistic studies | Stock solution supports reproducible cellular exposure and structure–effect relationship validation | |
5-Hydroxyflavone | 491-78-1 | ≥98%(HPLC) | Classification / structural control | Assesses how A-ring C5 hydroxylation affects metal chelation, antioxidant readouts, and spectral behavior | |
6-Hydroxyflavone | 6665-83-4 | ≥98% | Structure–property control | Compares positional substitution effects on solubility, stability, and spectroscopic responses | |
6-Hydroxyflavone | 6665-83-4 | 10 mM in DMSO | Cell / mechanistic studies | Facilitates dose–response modeling and reduces preparation error | |
7-Hydroxyflavone | 6665-86-7 | ≥97%(T) | Structure–color/chelation | Probes 7-OH-associated metal-complexation color/fluorescence features and spectroscopic differences | |
7-Hydroxyflavone | 6665-86-7 | 10 mM in DMSO | Cell / mechanistic studies | Stock supports pathway assays and time-window studies with improved exposure consistency | |
3,7-Dihydroxyflavone | 492-00-2 | ≥97% | Hydroxyl number effects | Compares the gain from multi-hydroxylation on radical scavenging, chelation strength, and antioxidant readouts | |
7,8-Dihydroxyflavone Hydrate | 38183-03-8 | ≥98%(HPLC) | Structure–activity linkage | Catechol motif is highly sensitive to H-donating capacity and metal chelation; used to validate structure-driven effects | |
7,8-Dihydroxyflavone Hydrate | 38183-03-8 | 10 mM in DMSO | Cell / mechanistic studies | Enables cellular evaluation of catechol-driven effects while controlling solvent volume fraction | |
3',4'-Dihydroxyflavone | 4143-64-0 | ≥97% | B-ring catechol control | Assesses B-ring catechol effects on metal chelation, antioxidant potency, and chromogenic responses | |
3',4'-Dihydroxyflavone | 4143-64-0 | Moligand™, 10 mM in DMSO | Cell / mechanistic studies | Stock supports reproducible dosing and high-throughput dose screening | |
3',4'-Dimethoxyflavone | 4143-62-8 | ≥98%(HPLC) | Methoxylation control | Hydroxyl-masked control to decouple “H-donation/chelation” from “hydrophobicity/permeability” contributions | |
6-Methoxyflavone | 26964-24-9 | ≥97% | Methoxylation control | Evaluates methoxylation effects on solubility, stability, chromatographic behavior, and spectral response | |
7-Methoxyflavone | 22395-22-8 | ≥98%(GC) | Methoxylation control | Paired with hydroxylated analogs to compare substituent impacts on chelation/chromogenic behavior and antioxidant readouts | |
5,6,7-Trimethoxyflavone | 973-67-1 | ≥96% | Polymethoxylated representative | Characterizes how polymethoxylation shifts hydrophobicity, membrane-permeation tendency, and effect profiles | |
5,6,7-Trimethoxyflavone | 973-67-1 | 10 mM in DMSO | Cell / mechanistic studies | Stock supports standardized exposure and dose gradients for low-solubility compounds | |
Sinensetin | 2306-27-6 | ≥98% | Natural polymethoxylated flavone | Representative natural polymethoxylated flavone for comparing structural diversity and physicochemical behavior | |
Sinensetin | 2306-27-6 | 10 mM in DMSO | Cell / mechanistic studies | Enables cellular dose–response studies and improves cross-batch reproducibility | |
Genistein | 446-72-0 | analytical standard, ≥98% | Quantitation standard | External standard for HPLC/LC-MS quantitation, method validation, and fingerprint reference | |
Genistein | 446-72-0 | Moligand™, ≥97% | Mechanistic studies | Representative isoflavone for structure–effect studies (e.g., antioxidant/anti-inflammatory contexts) | |
Genistein (NPI 031L) | 446-72-0 | 10 mM in DMSO | Cell / mechanistic studies | Stock supports dose-window screening and minimizes preparation variability | |
Calycosin | 20575-57-9 | Moligand™, ≥98%(HPLC) | Isoflavone representative | Comparator for isoflavone structural features, physicochemical properties, spectral behavior, and effect differences | |
Calycosin | 20575-57-9 | 10 mM in DMSO | Cell / mechanistic studies | Stock enables reproducible exposure and dose–response construction | |
Calycosin-7-O-beta-D-glucoside | 20633-67-4 | ≥98% | Glycosylation control | Evaluates glycosylation effects on solubility, stability, chromatographic behavior, and in vitro readouts | |
Hesperidin | 520-26-3 | ≥97% | Flavonoid glycoside representative | Representative flavonoid glycoside for solubility, stability, and analytical identification benchmarking | |
Hesperidin | 520-26-3 | analytical standard | Quantitation standard | For content determination, method validation, and batch-to-batch comparability | |
Hesperidin | 520-26-3 | 10 mM in DMSO | Cell / mechanistic studies | Stock supports in vitro evaluation while controlling solvent volume fraction |
8.2 Key Reagents and Condition-Control Components Commonly Used for Flavonoid Chromogenic Identification, Quantitative Analysis, and Mechanistic Studies
Category | Reagent | CAS No. | Applicable Experiments | Role in the System | Use Notes |
Chromogenic/total flavonoids | Aluminum chloride (AlCl3, anhydrous) | AlCl3 complexation colorimetry for total flavonoids; fluorescence/UV complexation verification | Forms complexes with flavonoids yielding characteristic absorbance/fluorescence for colorimetric quantitation or spectral discrimination | Fix pH, solvent ratio, and reaction time; include blanks and spike-recovery controls | |
Chromogenic/total flavonoids | Aluminum chloride hexahydrate (AlCl3·6H2O) | AlCl3 complexation colorimetry for total flavonoids | Common Al(III) source for preparing stable working solutions | Account for crystal water in weighing; store moisture-protected | |
Chromogenic/total flavonoids | Aluminum nitrate nonahydrate (Al(NO3)3·9H2O) | Al(III)-salt complexation colorimetry (alternative to AlCl3); complexation control experiments | Provides Al(III) for complexation-based chromogenic systems | Note acidity background; run paired controls | |
Chromogenic/total flavonoids | Sodium hydroxide (NaOH) | NaNO2–AlCl3–NaOH assay; alkaline endpoint adjustment | Provides alkaline conditions for stable endpoint readout | Strong base safety; fix endpoint pH | |
Chromogenic/total flavonoids | Potassium acetate (CH3COOK) | AlCl3 method (in some protocols) | Adjusts ionic environment and stabilizes complexation readout | Keep consistent with solvent system; avoid salting-out | |
Qualitative identification | Magnesium (Mg) | Shinoda test (rapid flavonoid screening) | Supports reduction-based chromogenic response | Fix particle size/dose; include positive controls | |
Qualitative identification | Zinc (Zn) | HCl–Zn qualitative test | Alternative reducing metal for some systems | Same as above; avoid oxidation-driven drift | |
Structure-aided identification | Sodium borohydride (NaBH4) | NaBH4 reaction to differentiate certain structural classes; reactivity-based verification | Selective reactions help infer functional-group/structure differences | Water-sensitive and exothermic; control temperature and include solvent controls | |
Metal complexation/mechanism | Ferric chloride (FeCl3) | Complexation control; complexation-driven spectral-change verification | Creates Fe(III) complexation background to probe absorbance/chromogenic shifts | Control pH to avoid hydrolysis; monitor turbidity/precipitation | |
Metal pro-oxidation/mechanism | Ferrous sulfate heptahydrate (FeSO4·7H2O) | Pro-oxidation background (Fenton-related); “chelation-mediated inhibition” verification | Provides Fe(II) oxidative background to assess chelation/indirect antioxidant contribution | Prepare fresh and control dissolved oxygen; prevent oxidation artifacts | |
Metal pro-oxidation/mechanism | Copper sulfate pentahydrate (CuSO4·5H2O) | Pro-oxidation background; Cu(II) complexation control | Provides Cu(II) background for chelation/pro-oxidation discussions | Avoid phosphate to prevent precipitation; control ionic strength | |
Metal complexation/mechanism | Copper(II) chloride dihydrate (CuCl2·2H2O) | Cu(II) complexation control (alternative salt) | Alternative Cu(II) source to verify complexation effects | Hygroscopic; keep salt form consistent for comparability | |
Chelation control | EDTA (acid form) | Metal-chelation interference check; mechanism dissection (±EDTA) | Strong chelator used to isolate metal-chelation contributions | Dissolution may require pH adjustment; avoid metal contamination | |
Chelation control | Disodium EDTA dihydrate (EDTA·2Na·2H2O) | Same as above (more soluble salt form) | Same role as EDTA | Note added Na+ and ionic strength changes | |
Chelation control | EGTA | Ca-related contribution checks; chelation control | More Ca-selective chelator to separate Ca-linked complexation/precipitation effects | Strongly alters Ca availability; interpret cautiously | |
Antioxidant assessment | DPPH | DPPH radical scavenging assay (chemical method) | Stable radical for comparing antioxidant capacity | Protect from light; fix reaction time and solvent system | |
Antioxidant assessment | ABTS | ABTS•+ scavenging assay | Radical cation system for antioxidant assessment | Standardize ABTS•+ generation and initial absorbance | |
Antioxidant assessment | Potassium persulfate (K2S2O8) | ABTS•+ generation (paired with ABTS assay) | Oxidizes ABTS to ABTS•+ | Control generation time; fresh preparation improves stability | |
Antioxidant assessment | AAPH | ORAC assay (peroxyl radical source) | Generates peroxyl radicals to model chain oxidation | Control temperature; note batch-related activity variability | |
Antioxidant assessment | Fluorescein | ORAC assay (fluorescent probe) | Probe substrate reporting radical damage | Protect from light; keep concentrations within linear range | |
Antioxidant assessment | Ferric chloride hexahydrate (FeCl3·6H2O) | FRAP assay (oxidant component) | Fe(III) acceptor reduced to Fe(II) for color development | Hygroscopic; fresh prep improves consistency | |
Antioxidant assessment | Neocuproine | CUPRAC reducing-power assay | Forms chromogenic complex with Cu(I) | Protect from light; control solvent ratio and timing | |
Polyphenol/auxiliary | Folin–Ciocalteu reagent | Total phenolics/reducing capacity (auxiliary profiling of flavonoid extracts) | Captures overall reducing capacity as a supportive descriptor | Mixture reagent; strict method conditions and blanks required | |
Polyphenol/auxiliary | Sodium carbonate (Na2CO3) | Folin assay development (paired reagent) | Provides alkalinity to drive color formation | Fix endpoint pH; manage CO2 absorption | |
LC sample prep | Methanol (MeOH) | Flavonoid/flavonoid glycoside extraction; HPLC/UPLC prep and injection | Common solvent for dissolution and sample handling | Include solvent blanks; volatility/toxicity management | |
LC sample prep | Acetonitrile (ACN) | Protein precipitation; HPLC/UPLC mobile phase/sample handling | Improves peak shape and reproducibility in LC systems | Salt co-presence can cause salting-out; ensure compatibility | |
LC/MS | Formic acid | LC-MS mobile phase additive (flavonoids/glycosides) | Improves peak shape and ionization efficiency | Fix acidity and gradients; reduce batch drift | |
LC/UPLC | Acetic acid | Mobile phase acidity control | Tunes retention and peak shape via acidity adjustment | Keep consistent with validated method; do not switch acid sources casually | |
LC/MS | Ammonium formate | Volatile buffer salt for LC-MS | Provides controlled ionic strength and pH background | Control concentration to avoid salt deposition; keep constant | |
Quench/deproteinization | Trichloroacetic acid (TCA) | Reaction quench; deproteinization prior to colorimetry/LC | Stops reactions and precipitates proteins to reduce interference | Verify compatibility with downstream detection | |
Glycoside studies | beta-Glucosidase | O-glycoside hydrolysis; glycoside vs aglycone conversion verification | Hydrolyzes O-glycosides to aglycones to confirm glycosylation effects | Control enzyme dose/time/temperature; include blanks and heat-inactivated enzyme controls | |
Cellular ROS | DCFH-DA | Cellular ROS assays (supports cell-level antioxidant evidence) | Intracellular probe reporting ROS changes after conversion | Protect from light; include probe auto-oxidation and solvent controls | |
Cytotoxicity control | MTT | Cell viability/toxicity controls for anti-inflammatory/antioxidant assays | Excludes false mechanistic conclusions driven by cell death | Compound color/reducing properties may interfere; include proper blanks | |
Cytotoxicity control | Resazurin | High-throughput viability alternative to MTT | Metabolic activity readout for screening | Reducing compounds can interfere; standardize incubation/readout windows | |
Inflammation readout | Sulfanilamide | Griess assay for NO/nitrite (anti-inflammatory readout) | Reacts with nitrite to form azo intermediates | Protect from light; strict addition order and standards | |
Inflammation readout | N-(1-naphthyl)ethylenediamine dihydrochloride (NED·2HCl) | Griess assay (paired chromogenic coupling) | Couples to form chromophore for quantitation | Control reaction time; run standard curves |
Flavones are C6–C3–C6 polyphenolic secondary metabolites with high structural diversity driven by hydroxylation, glycosylation, and other substitutions, producing broad differences in physicochemical behavior and bioactivity. Their research value and application potential in antioxidation, anti-inflammation, antimicrobial, and anticancer directions rely on systematic evidence chains linking structure, properties, mechanism, and dose windows. For development and industrial translation, prioritize standardized compositional profiling, reproducible quantitative analytics, and practical delivery/solubility-improvement strategies, while controlling model and measurement biases to ensure comparability and transferability of conclusions.
For more related articles, please see below:
[1] Isoflavones
[2] Determination of the content of plant flavonoid compounds
