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Journal of Pharmaceutical Analysis logoLink to Journal of Pharmaceutical Analysis
. 2020 Jul 6;11(2):232–240. doi: 10.1016/j.jpha.2020.06.008

Taxifolin stability: In silico prediction and in vitro degradation with HPLC-UV/UPLC–ESI-MS monitoring

Fernanda Cristina Stenger Moura a, Carmem Lúcia dos Santos Machado b, Favero Reisdorfer Paula b, Angélica Garcia Couto a, Maurizio Ricci c, Valdir Cechinel-Filho a, Tiago J Bonomini a, Louis P Sandjo d, Tania Mari Bellé Bresolin a,
PMCID: PMC8116214  PMID: 34012699

Abstract

Taxifolin has a plethora of therapeutic activities and is currently isolated from the stem bark of the tree Larix gmelinni (Dahurian larch). It is a flavonoid of high commercial interest for its use in supplements or in antioxidant-rich functional foods. However, its poor stability and low bioavailability hinder the use of flavonoid in nutritional or pharmaceutical formulations. In this work, taxifolin isolated from the seeds of Mimusops balata, was evaluated by in silico stability prediction studies and in vitro forced degradation studies (acid and alkaline hydrolysis, oxidation, visible/UV radiation, dry/humid heating) monitored by high performance liquid chromatography with ultraviolet detection (HPLC-UV) and ultrahigh performance liquid chromatography-electrospray ionization-mass spectrometry (UPLC-ESI-MS). The in silico stability prediction studies indicated the most susceptible regions in the molecule to nucleophilic and electrophilic attacks, as well as the sites susceptible to oxidation. The in vitro forced degradation tests were in agreement with the in silico stability prediction, indicating that taxifolin is extremely unstable (class 1) under alkaline hydrolysis. In addition, taxifolin thermal degradation was increased by humidity. On the other hand, with respect to photosensitivity, taxifolin can be classified as class 4 (stable). Moreover, the alkaline degradation products were characterized by UPLC-ESI-MS/MS as dimers of taxifolin. These results enabled an understanding of the intrinsic lability of taxifolin, contributing to the development of stability-indicating methods, and of appropriate drug release systems, with the aims of preserving its stability and improving its bioavailability.

Keywords: Dihydroquercetin, In silico stability prediction, Forced degradation

Graphical abstract

Image 1

Highlights

  • An stability-indicating HPLC-UV method was developed to Taxifolin.

  • Taxifolin showed high in silico susceptibility to nucleophilic attack.

  • Taxifolin is unstable under acid, oxidative and especially alkaline conditions.

  • Alkaline degradation products were characterized by UPLC-ESIMS/MS.

1. Introduction

Taxifolin, also called dihydroquercetin, was first isolated from Pseudotigusa taxifolia [1]. It belongs to the class of dihydroflavonoids, which are present as a yellow pigment in many edible plants. Lavitol®, an enriched extract of the stem bark of Larix gmelinni, contains about 90% taxifolin. This natural product has been marketed and used as a food ingredient in the USA since 2009 [2]. It has been recently authorized as a novel food ingredient in Europe [3]. Taxifolin has been reported in more than 700 articles published in the literature.

Taxifolin (3,5,7,3′,4′-pentahydroxyflavanone or dihydroquercetin) is a potent antioxidant, comparable to alpha-tocopherol, whose mechanism of action consists of lipid radical scavenging [4]. Taxifolin presents several pharmacological properties, such as attenuating diabetic nephropathy, reducing sugar, uric acid and creatinine in human blood [5], decreasing the accumulation of β-amyloid and preventing memory deficits [6], protecting against oxidative stress [7], promoting osteogenic differentiation in human bone marrow mesenchymal stem cells [8], reducing blood viscosity and dilating the blood vessels, and reducing arterial hypertension [9]. It also helps prevent diabetic cardiomyopathy [10] and protects against alcoholic liver steatosis [11]. Its in vivo gastroprotective effects were also demonstrated by our research group, with a similar effect to that of omeprazol, inhibiting 41% of the pump effect [12]. Due to its relevant pharmacological activities, this potential phytodrug was previously incorporated into gastro adhesive microparticles for the treatment of gastric disorders, by our research group [13].

However, despite its high clinical application potential, there is no sufficient data on its stability, a key quality statement for a drug. Moreover, there are few stability studies carried out with natural products [14]. Previous studies revealed that taxifolin polymerizes when submitted to electrolysis in neutral solutions (pH 7.0) [15]. This substance is also considered to be highly slightly soluble in water, and its absolute bioavailability after oral administration of lipid solution was only 36% [16]. Some authors argue that the results for absorption profile and the parameters of taxifolin vary quite considerably, suggesting that the bioavailability of the compound depends on the source [3]. This compound also appears to be degraded by the intestinal microflora [17]. Based on the above, the investigation of taxifolin’s stability behavior is an important step in developing a new active pharmaceutical ingredient (API) and in stimulating the development of a potential new drug release system. Moreover, the detection of potential degradation products requires stability-indicating methods [18] and the application of forced degradation tests of the API candidate, in both solid and solution forms. The stress condition should be carefully selected, aiming to generate potential degradation products, which are likely to be formed under realistic storage conditions [19].

Therefore, taxifolin stability was investigated using in silico stability prediction studies and in vitro forced degradation studies, monitoring the formation of degradation products by high performance liquid chromatography with ultraviolet detection (HPLC-UV) and ultra performance liquid chromatography coupled to electrospray ionization tandem high resolution mass spectrometry (UPLC-ESI-HRMS/MS).

2. Experimental

2.1. Chemicals and reagents

Methanol and acetonitrile of liquid chromatography with ultraviolet detection (HPLC-UV) and liquid chromatography-mass spectrometry (LC-MS) grade were obtained from PanReac, Castellar del Vallès, Barcelona, Spain. Phosphoric acid of analytical grade was purchased from Dinâmica, Sao Paulo, Brazil. Class 1 water was obtained by ultrapurification (Direct-Q®, Merck KGaA, Darmstadt, Germany). All the solutions were filtered through a regenerated cellulose 0.45 and 0.22 μm membrane filter (Macherey-Nagel, Düren, Germany) prior to injection into HPLC and UPLC, respectively. Taxifolin used in this experiment was isolated from the seed of Mimusops balata (from Itajaí, Santa Catarina, Brazil) with 99.4% purity (estimated by HPLC), and characterized by 1H and 13C NMR, infrared spectroscopy, HPLC and MS (Supplementary material).

2.2. In silico stability prediction studies

Computational analyses were performed using Spartan 08 version 116.2® for Windows (Wave function, Inc., Irvine, CA, USA) and all initial structures were constructed using fragments of atoms and structural fragments by the molecular editor. Geometric optimization was carried out using the Merck Molecular Strength Field (MMFF94) followed by the Austin Model. The structure of taxifolin (Fig. 1A and B) was subjected to conformational analysis. The increment of the torsion angle was 30° in a range of 0-360°, using systematic analysis, by the functional density theory (DFT) method to B3LYP/6,311G ∗ (d, f). The lowest energy conformer calculated was re-optimized using the same method. This structure was used to determine the number of electrons at natural atomic population analysis (NPA) using single point energy at the same level of theory of geometry optimization. For these data, Fukui function (FF) derivatives values, positive (f-j, Eq. (1)) for electrophilic attack, negative (f+j, Eq. (2)) for nucleophilic attack and f 0j (Eq. (3)) for radical attack we calculated as follows:

f-j = qj(N) - qj(N - 1) (1)
f+j = qj(N + 1) - qj(N) (2)
f0j = ½ qj [(N +1) – qj(N - 1)] (3)

The possible regions of the molecule susceptible to degradation, under acid and alkaline conditions, were evaluated by the Fukui functions [20]. These functions indicate the susceptibility of the electronic density to deform at a given position upon accepting or donating electrons [21]. In this case, qj is the number of electrons (evaluated from NPA) at the j th atomic site in the neutral (N), anionic (N + 1) or cationic (N - 1) chemical species on the reference molecule.

Fig. 1.

Fig. 1

Chemical structure of taxifolin (A); 3D visualization in tube (B); Molecular electronic potential (MEP) (C), beyond the van der Waals isosurface 0.002 eV using Spartan for Windows 08. Color scheme: blue positive to red negative electrostatic potentials values (-40.000–75.000 kcal/mol).

The dual descriptor Δf(r) of local reactivity, which allows us to obtain a preferred locus for nucleophilic attacks (Δf(r) > 0) and a preferred electrophilic attack site (Δf(r) < 0) in the system at point r, was calculated using the Eq. (4) [22,23].

Δf(r)=f(r)+f(r) (4)

The main mechanism of auto-oxidation observed in the photolytic degradation reaction of the hydrogen atom abstraction energy (EHabstraction) was calculated for the bond of the hydrogen atom with the carbon atom, and bond dissociation energy (BDE) in the molecule, using the Eq. (5) [24,25].

(BDE)EHabstraction=Eradical+EHradicalEground state (5)

2.3. HPLC-UV methodology

The chromatographic profile, purity and extractive content were analyzed by HPLC (Prominence LC-20AT LC, Shimadzu, Tokyo, Japan) equipped with a binary pump, a photo diode array detector (SPD-M20A, Shimadzu, Tokyo, Japan), an auto-sampler (SIL-20AHT, Shimadzu, Tokyo, Japan) in-line degasser (DGU-20A5, Shimadzu, Tokyo, Japan), a column oven (CTO-10AS V, Shimadzu, Tokyo, Japan), a 20 μL stainless steel loop and the software Class VP (version 6.14).

The analyses were carried out with a column Kinetex® F5 (Phenomenex, Torrance, California, USA; 150 mm × 4.6 mm, 2.6 μm) conditioned at 30 °C, with detection at 288 nm. The best gradient elution (0.6 mL/min) was acidified water pH 3.0 with 0.1% (V/V) phosphoric acid (A), acetonitrile (B) and methanol (C) according to the following gradient A:B:C (V/V/V): 85:10:5 to 80:15:5 (0–5 min); 80:15:5 to 70:25:5 (5–15 min); 70:25:5 to 50:45:5 (15–25 min); and 50:45:5 to 85:10:5 (25–30 min), maintaining these conditions until 35 min.

The HPLC-UV methodology was validated for linearity, limits of detection (LOD) and quantification (LOQ), robustness and selectivity. To access the linearity, taxifolin was dissolved in methanol in the range of 5.0–100.0 μg/mL, in triplicate, followed by linear regression studies, using Excel software. The LOQ and LOD were determined based on the standard deviation of the response and the slope [26]. Selectivity of the method for taxifolin was proven first by accessing the resolution (R) between the taxifolin peak and the nearest peak (impurity) in the original sample. Secondly, the methodology was applied to quantify taxifolin among the degradation products after the stress tests, measuring the purity peak of taxifolin through the photodiode array (PDA) detector. To check the robustness of the method, the flow (± 0.06 mL/min), temperature (± 1 °C) and storage time of the sample solution (3, 8, 12 and 24 h) were varied measuring the relative standard deviation (RSD) of the analyte content. The taxifolin content was calculated using the regression linear equation.

2.4. Forced degradation studies

Firstly, an aliquot of taxifolin (1 mg) was dissolved in 1 mL of methanol. Then, the volume was completed, to 5 mL, with the respective solvent of each forced degradation test. Hydrolytic stress studies were performed in acid medium (1 M HCl) and the mixture was maintained for 15, 30, 60, 240 min and 24 h. Taxifolin was also treated with an alkaline condition, at 1 mM NaOH, during 15, 30, 60, 240 min and 24 h. Oxidative tests were carried out in 30% H2O2 for 15, 30, 60, 240 min and 24 h. All the stress experiments were carried out at 25 °C. The final concentration of taxifolin in the respective degradation media was 200 μg/mL. Acid and alkaline samples were neutralized with NaOH and HCl, respectively, and prior to HPLC analysis, the sample solutions were diluted with methanol to 100 μg/mL. This concentration was chosen in order to improve the appearance of the degradation products in the HPLC-UV chromatograms. For LC-MS analysis, taxifolin was submitted to 0.01 M NaOH degradation at room temperature, followed by immediate neutralization with equimolar HCl. The taxifolin powder was stored in a photostability chamber (model 91423, ZEM, Minas Gerais, Brazil) under combined visible light (1.2 and 2.4 million lx·h) and ultraviolet-A (UVA) (200 and 400 Wh/m2 irradiation). The negative control was protected with aluminium foil coating. The light intensity was monitored by a Luximeter (model MLM-1011, Minipa, São Paulo, Brazil). The samples were also stored in an oven at 40 °C and at 40 °C/75% relative humidity (RH) (into a desiccator with saturated solution of NaCl) for 30 days [27]. After exposure to light, heat and humidity, sample solutions of 100 μg/mL in methanol were analyzed by HPLC. All stressed samples were assayed by comparison with non-degraded reference standards in the same concentration, in methanol, to calculate the percentage of degradation.

2.5. UPLC-ESI-HRMS/MS analysis

LC-MS analyses were performed on an Acquity UPLC system class H (Waters, St. Milford, MA, USA) composed of a PDA detector, sample manager and a quaternary solvent manager as well as an Acquity UPLC BEH C18 column (St. Milford, MA, USA; 130 Å, 1.0 mm × 50 mm, particle size 1.7 μm). Temperatures of 40 °C and 20 °C were set for the column and sample tray, respectively. A volume of 3 μL was injected for each sample, and the separation was obtained in a gradient condition (0-5 min: 95% A (water:formic acid, 99.9:0.1, V/V) and 5% B (acetonitrile); 5-8 min: 20% A; 8-10 min: 50% A; 10-13 min: 55% A; 13-16 min: 90% A; and 16-20 min: 95% A), at a flow rate of 0.3 mL/min.

Mass detection was conducted on a Xevo G2-S QTof (Waters, St. Milford, MA, USA) with an electrospray probe operating in negative ionization mode; nebulizer gas: nitrogen, cone gas flow 60 L/h; desolvation gas flow 900 L/h, sampling cone 40 V, source offset 80 V; collision gas, argon. Lockspray reference sample was leucine encephalin with reference mass at m/z 554.2615 (ESI-). Temperatures of 300 °C and 120 °C were used for the desolvation and for the cone, respectively, while the capillary voltage was 3 kV. The collision energy was 30 eV. Data were acquired in a range of 100–1500 Da, at a scan time of 1.0 s during 20 min, and were processed with Mass Lynx V4.1 (Waters, St. Milford, MA, USA).

3. Results and discussion

The isolated and purified taxifolin was characterized by Fourier transform infrared spectroscopy spectra (Fig. S1), mass spectrometry data (Fig. S2) and 1H NMR spectral data (Fig. S3) and then, subjected to the stress tests.

3.1. LC-UV method validation

The method was linear in the range of 5.0–100.0 μg/mL (y = 113027x–67233, r2 = 0.9989). The LOD and LOQ were 4.6 and 15.9 μg/mL, respectively. The chromatographic conditions showed selectivity with high resolution (R = 4.2) between taxifolin and the nearest peak (impurity identified as a taxifolin isomer), showing a high purity peak index of 0.999973, through the PDA detector. The method was robust for changes in temperature (RSD of 0.25%), mobile phase flow (RSD of 0.47%), and storage time (RSD of 0.47%), with P > 0.05, showing no statistical difference in the taxifolin assay in the small and deliberate modifications of the methodology, compared to the standard condition.

3.2. In silico stability prediction study

Taxifolin stability was first investigated by in silico prediction studies and after by in vitro forced degradation tests; the samples were monitored by HPLC-UV and UPLC-ESI-HRMS/MS.

In silico stability prediction studies were performed to further understand the chemical reactivity by predicting the most likely position of structural hydrolysis. The chemical structure (Fig. 1A) in the tube model (Fig. 1B) and the map of electrostatic potential charges (MEP) (Fig. 1C) of taxifolin are shown in Fig. 1. The MEP plot calculating on the van der Waals surface and focusing on the negative isopotential surfaces might be used to describe the occurrence of the electronic conjugation in the molecule. The most negative potential regions were demonstrated in red to oxygen atoms. The benzene ring showed no coplanarity with the chromen-4-ene ring, but the oxygen atoms from chromen-4-ene and hydroxyl (O10) moieties and benzene attached to position C2 showed a mesomeric effect. The center of the structure presented extended distribution of negative charges, which became more positive as the potential increased to hydrogen attached to oxygen atoms from hydroxyl moieties.

As shown in Table 1, the major values of the Fukui function (f(r)) are those with higher reactivity [28], whose sites may be related to hydrolysis reactions during stress degradation studies. Table 1 also shows that positions C2, C4, and C7 were more susceptible to undergoing nucleophilic attack. According to the dual descriptor Δf (r) results, the following order was observed: C4 > C7 > O10 > C8, indicating preferably the chromen-4-one ring and C2′ (Fig. 1) in benzene ring sites as the most reactive (Δf(r) > 0) into the system at point r. All molecular regions, especially C4 and C7, were shown to be the most probable reactive sites to alkaline or acid hydrolysis (Table 1, Fig. 1).

Table 1.

Values of the neutral, positive and negative populational analysis (NPA), electrophilic f and nucleophilic f+ condensed Fukui functions and Δf(r) of the atoms of the taxifolin molecule calculated with the DFT/B3LYP and the 6.311G∗ (d,f) basis set considering Eqs. (1), (2), (3).

Atoms NPA NPA+ NPA- f+ f- Δf(r)
O1 8.52946 8.49859 8.55921 -0.03087 -0.02975 -0.00112
C2 5.92398 5.93919 5.92735 0.015207 -0.00337 0.01858
C3 5.97847 5.97604 5.96088 -0.00243 0.01759 -0.02002
C4 5.47298 5.47368 5.67386 0.000698 -0.20088 0.20158
C4a 6.32195 6.32146 6.29739 -0.00048 0.02456 -0.02505
C5 5.57605 5.56164 5.64018 -0.01440 -0.06414 0.04973
C6 6.37703 6.28324 6.39284 -0.09378 -0.01582 -0.07797
C7 5.61044 5.61768 5.71376 0.007233 -0.10332 0.11055
C8 5.59928 5.58731 5.68196 -0.01198 -0.08268 0.07071
C8a 6.40131 6.34162 6.40806 -0.05968 -0.00675 -0.05294
O9 8.75674 8.75092 8.78593 -0.00582 -0.02919 0.02337
O10 8.62877 8.59317 8.75514 -0.03559 -0.12637 0.09077
O11 8.68331 8.62974 8.73394 -0.05357 -0.05064 -0.00293
O12 8.67417 8.65064 8.71821 -0.02353 -0.04404 0.02051
C1′ 6.08394 5.99073 6.05584 -0.09321 0.02801 -0.12130
C2′ 6.29342 6.29690 6.30145 0.00348 -0.00804 0.01152
C3′ 5.73766 5.67456 5.74815 -0.06309 -0.01050 -0.05259
C4′ 5.70828 5.64012 5.73460 -0.06816 -0.02632 -0.04184
C5′ 6.27564 6.25328 6.29178 -0.02236 -0.01614 -0.00623
C6′ 6.22217 6.17170 6.22733 -0.05047 -0.00516 -0.04531
O7′ 8.72534 8.66951 8.73926 -0.05583 -0.01391 -0.04192
O8′ 8.69390 8.60099 8.71253 -0.09291 -0.01863 -0.07428

The Fukui function f0 and BDE, used to estimate the hydrogen abstraction energies, indicate the auto-oxidation of taxifolin, as shown in Table 2. Fukui function showed a high value for the hydrogen atom of C2′ in the chemical structure of taxifolin (Fig. 1), indicating the main region of susceptibility in the oxidation process. However, this hydrogen atom is stabilized by the resonance effect, and may not easily receive an electron in auto-oxidation, which suggests that the mechanism of electron transfer is not related to the chemical structure oxidation of taxifolin.

Table 2.

Fukui function values for radical attack and bond dissociation energies of taxifolin hydrogen.

Hydrogen atoms f0 Bond dissociation energy (EHabstrction, kcal/mol)
H–C2 -0.02141 70.4797
H–C3 -0.02848 73.1857
H–C6 -0.03022 110.8045
H–C8 -0.02669 123.2532
H–C2′ -0.01148 105.5393
H–C5′ -0.02537 105.8795
H–C6′ -0.01725 103.9090
H–O9 -0.01293 102.8659
H–O11 -0.00893 107.5006
H–O12 -0.01873 107.5006
H–O7′ -0.01459 74.5874
H–O8′ -0.01546 77.9537

The bold values are the smallest values, indicating the more liable H to be abstracted from the auto-oxidation reaction.

BDE is a measure of the bond strength in a chemical bond, and may be defined as the standard energy (or even the enthalpy) change when a bond is broken by a reaction [29]. BDE is an indicator of primary site(s) of the auto-oxidation of organic compounds and drugs [25]. Low BDE values of hydrogen atoms from the taxifolin structure (Table 2) are more liable to be abstracted from the auto-oxidation reaction. The energies of hydrogen atoms attached to C2 and C3 from the chromen-4-ene ring and O7′ and O8′ from hydroxyl moieties attached to the para-position of the benzene ring (Fig. 1) reflect the high oxidative susceptibility that characterizes the instability of this region in the oxidative environment. On the other hand, the hydrogen atom from C8 showed a high BDE calculated value, indicating that this molecular position moiety is more stable in the studied conditions. The mesomeric effect observed in this structural region may hinder the abstraction of this hydrogen. This procedure can be used for auto-oxidation and also for predicting photolytic degradation [30].

The Fukui function was previously used to estimate the antioxidant mechanism of taxifolin, compared to quercetin [31]. However, the authors studied only the hydrogen atoms attached to oxygen atoms, and showed that in oxidant medium, taxifolin exhibited more susceptibility to hydrogen loss at O3′ and O4′, which corresponds to the O7′ and O8′ position denominated in the present work (Fig. 1A). Thus, these findings are in agreement with the results demonstrated here, considering the hydroxyl moieties.

On the other hand, forced degradation studies are recommended as part of stability studies for new drugs because the molecule is exposed to extreme conditions during its manufacturing, storage, and administration. Thus, to simulate the appearance of potential degradation products, stress tests are useful and allow us to establish the degradation pathways and the intrinsic stability of the molecule, and to validate a stability-indicating method. The Guideline ICH Q1A(R2) [27] states that the molecule should be exposed to high temperatures, humidity, oxidation, photolysis, and susceptibility to hydrolysis across a range of pH values, in solution or suspension.

3.3. Forced degradation tests

Taxifolin was submitted to forced degradation studies, selecting the condition which provides about 10%–20% of degradation [27].

The taxifolin degradations, for each stress condition, were as follows: 20.2% (1 M HCl, 30 min), 16.3% (1 mM NaOH, 15 min), 11.7% [30% H2O2, 24 h], 9.8% (dry heat, at 40 °C, 30 days), 23.1% (humid heat, at 40 °C and 75% RH, 30 days) and 9.0% (photolysis at 2.4 million lx·h and at 400 Wh/m2 of visible and UVA radiation, respectively). Taxifolin was shown to be extremely unstable (class 1) [32] under alkaline hydrolysis. Taxifolin degradation was increased by humidity, compared with dry heat, probably due to the hydrolysis process in the former condition. The stability of a semi-solid formulation containing taxifolin was also evaluated [33]. After 12 weeks, at 40 °C, only 3% of the initial amount was found, which is in agreement with the results of the present study, reinforcing the thermolability of this compound, especially in the presence of humidity. Under oxidative conditions, taxifolin could be classified as class 4 (stable), with a relative low photosensitivity [32]. Thus, according to the above results, taxifolin needs to be protected against these stress conditions with a proper formulation, to avoid intestinal delivery in particular.

The chromatographic profile of taxifolin showed changes after being subjected to certain degradation conditions, with the appearance of supplementary peaks (Fig. 2). Taxifolin used for the stress studies showed low levels of impurity (0.6%) (Fig. 2A). In this original sample, four impurity peaks eluted after the major taxifolin peak (Fig. 2A1). The acidic hydrolysis tests with 1 M HCl showed supplementary peaks with earlier elution, decreasing from the major peak, as well as the disappearance of impurity peaks, which probably suffered acid hydrolysis (Fig. 2B). Alkaline tests were performed starting at 1 M NaOH, followed by 0.1 M NaOH and in both conditions; taxifolin was completely decomposed, as evidenced by the UV profile of the peak with a retention time of 18 min. After decreasing the concentration to 0.01 M NaOH, 75% taxifolin degradation was observed, and as the contact time increased, this degradation was completed (Fig. S4).

Fig. 2.

Fig. 2

Chromatograms of pristine taxifolin (A and A1) and of taxifolin degraded with 1 M HCl, 30 min (B), 1 mM NaOH, 15 min (C), 30% H2O2, 24 h (D), dry heat, 30 days (E), humid heat, 30 days (F) and photolysis, 2.4 million lx・h (G).

Thus, the chosen conditions for LC-UV analysis, for alkaline degradation, were 1 mM NaOH for 15 min (Fig. 2C). Oxidation with 30% H2O2 resulted in a decrease in taxifolin and a change of chromatographic profile, with many earlier eluted peaks (Fig. 2D). Samples were also submitted to dry heat (40 °C) (Fig. 2E) and humid heat (40 °C/75% RH) for 30 days (Fig. 2F), without important chromatographic profile changes. Finally, taxifolin was submitted to combined daylight fluorescent lamp and UVA (Fig. 2G), showing photostability.

UPLC-ESI-HRMS-MS analysis was used to characterize the degradation products of taxifolin present in samples obtained from various conditions of degradation including alkaline medium (Fig. 3).

Fig. 3.

Fig. 3

LC-MS of pristine taxifolin (A) and the alkaline forced degradation (0.01 M NaOH immediately neutralized with equimolar HCl) of taxifolin (B).

The samples were more sensitive to negative ionization mode using the base peak ion as the mode of acquisition of the chromatograms [34]. The first chromatogram obtained from the taxifolin sample (Fig. 3A) displayed seven peaks, with the most intense one at 6.47 min, with a shoulder at 6.62 min, both with the base peak ion m/z 303.0515 corresponding to [C15H12O7–H]- calculated for m/z 303.0505 (Δ 3.37 ppm). The second peak at 6.62 min exhibited the same molecular ion, suggesting a taxifolin diastereomer. This suggestion was supported by fragment ions observed in the MS/MS spectra of both compounds at m/z 285.04 [C15H12O7–H2O]- and 125.02 (corresponding to phloroglucinol: ring A). The peak at 7.54 min with the pseudo-molecular ion m/z 301.0367 [C15H10O7–H]- (Δ 6.22 ppm) was assigned as quercetin based on the fragment ion observed at m/z 151.01 formed by the Retro-Diels-Alder rearrangement of ring C. This molecule is an oxidized form of taxifolin. The other peaks at 8.79, 10.73, 11.17, and 14.77 min did not give fragment ions that would enable their characterization. However, the last metabolite at 14.77 min (m/z 281.2484 [C18H34O2–H]- Δ 1.23 ppm) was assigned as oleic acid derivative.

In addition to the metabolites already present in the taxifolin sample, acid hydrolysis produced two new metabolites. The first was observed at 0.46 min (molecular ion m/z 197.79) and the second at 7.10 min (molecular ion m/z 723.51). The latter peak also appeared in the alkaline, oxidative and dry thermal degradation of taxifolin (Table 3). Diagnostic analysis of the MS/MS data of this peak was not conclusive.

Table 3.

Degradation products of taxifolin after exposition to different stress conditions, monitored by UPLC-ESI-MS.

Peak
No.
Retention time
(min)
MS [M-H]- in negative ion mode (m/z)
Elemental composition
Taxifolin Stress condition
1mM NaOH 1M HCl 30% H2O2 Visible light (2.4 million lx·h) Visible light negative control Humid heat 40°C, 75% relative humidity Dry heat 40 °C
1 0.46 - - 197.79 - - - - - C7H3O7
2 0.49 - - - 162.89 - - - - C6H10O5
3 6.47 303.05 303.05 303.05 303.06 303.05 303.05 303.06 303.05 C15H12O7
4 6.62 303.05 303.05 - - 303.05 303.05 - - C15H12O7
5 7.10 - 723.50 723.501 723.51 - - 723.52 - CHO
6 7.54 301.04 - - - 301.04 301.04 - 301.04 C15H10O7
7 8.42 - - - - - - - 265.14 CHO
8 8.82 - - - - 221.12 221.12 - - CHO
9 10.77 265.15 265.15 265.15 265.151 265.15 265.15 265.15 265.15 CHO
10 12.46 - - - - - - - 325.18
11 12.57 - - - - - - 439.25 - CHO
12 12.60 - - - - 421.23 - - - CHO
13 13.34 - - - - - - - 339.20 CHO
14 14.47 - - - - - - 439.25 -
15 14.77 281.25 281.25 281.24 281.25 281.25 281.25 - 281.25 CHO

Sample oxidative test showed in its LC-MS data features similar to those of acid degradation, with the exception of an additional peak at 0.49 min with m/z 162.88. The dry thermal test afforded a sample for which LC-MS analysis gave two peaks, at 12.46 min and 13.34 min, with m/z 325.18 and m/z 339.20, respectively. The structure of m/z 325.18 could not be assigned; whereas based on a literature search, m/z 339.20 [C22H28O3–H]- (Δ 4.66 ppm) is related to a steroid. These metabolites are probably contaminants of the starting material, and appear during the degradation process, which decreases the concentration of the main compounds.

The sample from humid thermal degradation afforded in its LC-MS data peaks at 12.57 and 14.47 min with the same mass value m/z 439.25. Because of the lack of fragment ions on the MS/MS spectrum, the structure of this metabolite could not be assigned. However, a literature search revealed that m/z 439.25 is related to a steroid.

In the UV photolysis sample, a peak was observed at 8.82 min with m/z 221.1180 [C13H18O3–H]- (Δ 1.04 ppm), like in visible photolysis. A search using this elemental composition led to a structure related to norsesquiterpene. An additional peak was also observed at 12.60 min (m/z 421.2301) with no relation to taxifolin. Some peaks that appear in the water conditions are probably degradation products of quercetin, because in acid, alkaline, oxidative, and dry thermic degradation, the peak at 7.54 min, for which the molecular ion is m/z 301.04, disappeared. In addition, these samples, when analyzed by HPLC, did not show a significant decrease in the taxifolin peak (Fig. 2).

The purest taxifolin sample (99%) was submitted to alkaline hydrolysis, specifically at 0.01 M NaOH for LC-MS analysis, and neutralized to afford, in its LC-MS analysis, a peak at 7.25 min flanked with m/z 603.0787 [C30H20O14–H]- (calc. m/z 603.0775, Δ 2.02 ppm) (Fig. 3B), suggesting the dimerization of taxifolin. The same chromatogram also showed the presence of a substance at 4.86 min with m/z 319.0456 [C15H12O8–H]- (calc. m/z 319.0454, Δ 0.65 ppm), different from the taxifolin chemical composition (m/z 303 [C15H12O7–H]-) by 16 Da. This substance may be a product formed from the oxidation of taxifolin by oxygen (O2) (Fig. 4).

Fig. 4.

Fig. 4

Hypothetical alkaline degradation mechanism of taxifolin with 0.01 M NaOH leading to m/z 319.0456 and m/z 337.0568 (A); m/z 605.0964 (B); m/z 603.0787 (C).

As ring B is more susceptible to oxidation than ring A [35], it is suggested that alkaline degradation involves the auto-oxidation promoted by the radical peroxide formation. After losing a molecule of water and forming a ketone group, the aromatic system of B ring was rebuilt, resulting in the ion m/z 319.0456 (Fig. 4A). UPLC-ESI-MS2 data of this product showed fragment ions at m/z 193, 195, 153 and 163 (Fig. S5) supported this hypothesis and indicated that oxidation occurred on B ring of the flavanone.

The second peak with m/z 337.0568 [C15H14O9–H]- (calc. m/z 337.0560, Δ 2.50 ppm), observed at 6.18 min (Fig. 3B), differed from m/z 319.0456 by 18 Da, corresponding to an H2O molecule (Fig. 4A). It was suggested that this compound was a result of the oxidation of ring B of taxifolin and the opening of ring C. The MS/MS spectra of this second product showed a base peak ion of m/z 125 and a radical anion m/z 152. The fragmentation proposal in Fig. S5 revealed that m/z 125 could be related to A and B rings, whereas m/z 163 was produced by the sigma bond cleavage at the α-carbon atom. The latter fragmentation also indicated that ring C was opened.

The third and fourth peaks, with m/z 605.0964 [C30H22O14–H]- (calc. m/z 605.0931, Δ5.40 ppm), at 6.99 and 7.43, min, respectively, were indicative of dimeric products of taxifolin. It was suggested that these dimers were formed by 2 mol of taxifolin in the alkaline medium, which reacted with one mol of O2 to produce 2 mol of taxifolin anion radical and H2O2. Furthermore, radical delocalization led to the formation of two dimeric flavanones (Fig. 4B). Similar oxidative dimerization was electrochemically produced by Chernikov et al. [15]. The MS/MS spectrum of both compounds (m/z 605.0964) showed similar fragments at m/z 393, m/z 259 and m/z 217. The ion m/z 393 was obtained by the elimination of one chromenone moiety and H2O. While the loss of two chromenone units produced m/z 217, the product ion m/z 259 was obtained from the opening of C ring and the loss of a chromenone unit (Fig. S6).

The product at m/z 603.0787 differs from at m/z 605.0964 by 2 amu, suggesting oxidation by O2 (Fig. 4C). In addition, the oxidation could produce an ortho-quinone dimeric flavanone, thus like a quercetin molecule, which has a similar structure to that of taxifolin, differing only in the double bound between C2 and C3. Quercitin also shows susceptibility to pH, temperature and storage conditions, generating the same ortho-quinone, which can interact with glutatione and may explain its high antioxidant effect [36]. The latter, when analyzed by MS/MS, generated ions at m/z 409, 391, 381, 193, and 177, demonstrating that oxidation occurred on the B ring but not on the C ring (Fig. S6).

4. Conclusions

Thus, in silico stability prediction analysis suggested that the taxifolin molecule is susceptible to nucleophilic attack in C2′, C4 and C7, as confirmed by the in vitro alkaline degradation, suggesting that the molecular ion with m/z 603.0787 and m/z 605.0964 could be taxifolin dimers via nucleophilic attack in C2′ for both molecules. The degradation products formed are also susceptible to nucleophilic attack. Other carbons are also previewed to be susceptible to nucleophilic attack, with less probability, but in vitro forced degradation studies proved that secondary degradation could occur. In the m/z 319 peak fragmentation, the nucleophilic attack occurred in C4 and O12 (m/z 167), in C2, C3, and O12 (m/z 153), in C2 and O12 (m/z 193) and in C2 and O12 (m/z 195), which corroborates the in silico stability prediction for susceptibility in C2, C4 and O12. In the m/z 337 fragmentations, the nucleophilic attack occurred in C2′, C4 (m/z 125) and in C2, O12 and C4 (m/z 125), in O1, O12 (m/z 163), in C2 and C3 (m/z 152), in agreement with in silico stability prediction for C2′, C2, C4, O12. Thus, the in silico stability prediction study should be predictive of the reactivity susceptibility of taxifolin in the studied conditions, contributing to the understanding of taxifolin intrinsic lability and guiding the development of appropriate release systems for this phytodrug.

Declaration of competing interest

The authors declare that there are no conflicts of interest.

Acknowledgments

This work was partially supported by CAPES (PVE, Grant No. 88887.116106/2016-00) (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), Brazil, which provided financial support in the form of a doctoral’s degree scholarship to Stenger, F. C. and financial support (Science Program Without Borders - Researcher Special Visitor – PVE), and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico), Edital Universal (Grant No. 88887.122964/2016-00).

Footnotes

Peer review under responsibility of Xi'an Jiaotong University.

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.jpha.2020.06.008.

Appendix A. Supplementary data

The following are the Supplementary data to this article:

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References

  • 1.Graham H.M., Kurth E.F. Constituents of extractives from douglas fir. Ind. Eng. Chem. 1949;41:409–414. [Google Scholar]
  • 2.Schauss A.G., Tselyico S.S., Kuznetsova V.A. Toxicological and genotoxicity assessment of a dihydroquercetin-rich dahurian larch tree (Larix gmelinii Rupr) extract (Lavitol) Int. J. Toxicol. 2015;34:162–181. doi: 10.1177/1091581815576975. [DOI] [PubMed] [Google Scholar]
  • 3.Turck D., Bresson J.-L., Burlingame B. Scientific opinion on taxifolin-rich extract from Dahurian Larch (Larix gmelinii) EFSA J. 2017;15:1–16. doi: 10.2903/j.efsa.2017.5059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Teselkin J.O., Zhambalova B.A., Babenkova I.V. Antioxidant properties of dihydroquercetin. Biofizika. 1996;41:620–624. [PubMed] [Google Scholar]
  • 5.Zhao Y., Huang W., Wang J. Taxifolin attenuates diabetic nephropathy in streptozotocin-induced diabetic rats. Am. J. Transl. Res. 2018;10:1205–1210. [PMC free article] [PubMed] [Google Scholar]
  • 6.Wang Y., Wang Q., Bao X. Taxifolin prevents β-amyloid-induced impairments of synaptic formation and deficits of memory via the inhibition of cytosolic phopholipase A2/protaglandin E2 content. Metab. Brain Dis. 2018;33:1069–1079. doi: 10.1007/s11011-018-0207-5. [DOI] [PubMed] [Google Scholar]
  • 7.Xiaobin X., Feng J., Kang S.Z. Taxifolin protects RPE cells against oxidative stress-induced apoptosis. Mol. Vis. 2017;23:520–528. [PMC free article] [PubMed] [Google Scholar]
  • 8.Wang Y.J., Zhang H.Q., Han H.L. Taxifolin enhances osteogenic differentiation of human bone marrow mesenchymal stem cells partially via NFkB pathway. Biochem. Biophys. Res. Commun. 2017;490:36–43. doi: 10.1016/j.bbrc.2017.06.002. [DOI] [PubMed] [Google Scholar]
  • 9.Plotnikov M.B., Aliev O.I., Sidekmenova A.V. Modes of hypertension action of dihydroquercetin in arterial hypertension. Bull. Exp. Biol. Med. 2017;162:353–356. doi: 10.1007/s10517-017-3614-4. [DOI] [PubMed] [Google Scholar]
  • 10.Sun X., Chen R., Yang Z. Taxifolin prevents diabetic cardiomyopathy in vivo and in vitro by inhibition of oxidative stress and cell apoptosis. Food Chem. Toxicol. 2014;63:221–232. doi: 10.1016/j.fct.2013.11.013. [DOI] [PubMed] [Google Scholar]
  • 11.Zhang Y., Jin Q., Li X. Modulation of AMPK-dependent lipogenesis mediated by P2x7R-NLRP3 inflammasome activation contributes to the amelioration of alcoholic liver steatosis by dihydroquercetin. J. Agric. Food Chem. 2018;16:4862–4871. doi: 10.1021/acs.jafc.8b00944. [DOI] [PubMed] [Google Scholar]
  • 12.Schlickmann F., Mota L.M., Boeing T. Gastroprotective bio-guiding of fruits from Mimusops balata. Naunyn-Schmiedeberg’s Arch. Pharmacol. 2015;388:1187–1200. doi: 10.1007/s00210-015-1156-8. [DOI] [PubMed] [Google Scholar]
  • 13.Stenger Moura F.C., Perioli L., Pagano C. Chitosan composite microparticles: a promising gastroadhesive system for taxifolin. Carbohydr. Polym. 2019;218:343–354. doi: 10.1016/j.carbpol.2019.04.075. [DOI] [PubMed] [Google Scholar]
  • 14.Gomes J.H.S., da Silva G.C., Côrtes S.F. Forced degradation of L -(+)-bornesitol, a bioactive marker of Hancornia speciose: development and validation of stability indicating UHPLC-MS method and effect of degraded products on ACE inhibition. J. Chromatogr. B. 2018;1093:31–38. doi: 10.1016/j.jchromb.2018.06.045. [DOI] [PubMed] [Google Scholar]
  • 15.Chernikov D.A., Shishlyannikova T.A., Kashevskii A.V. Some peculiarities of taxifolin electrooxidation in the aqueous media: the dimers formation as a key to the mechanism understanding. Electrochim. Acta. 2018;271:560–566. [Google Scholar]
  • 16.Pozharitskaya O.N., Karlinab M.V., Shikov A.N. Determination and pharmacokinetic study of taxifolin in rabbit plasma by high-performance liquid chromatography. Phytomedicine. 2009;16:244–251. doi: 10.1016/j.phymed.2008.10.002. [DOI] [PubMed] [Google Scholar]
  • 17.Winter J., Moore L.H., Dowell V.R. C-ring cleavage of flavonoids by human intestinal bacteria. Appl. Environ. Microbiol. 1989;55:1203–1208. doi: 10.1128/aem.55.5.1203-1208.1989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Blessy M., Patel R.D., Prajapati P.N. Development of forced degradation and stability indicating studies of drugs—a review. J. Pharm. Anal. 2014;4:159–165. doi: 10.1016/j.jpha.2013.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Annapurna M.M., Mohapatro C., Narendra A. Stability-indicating liquid chromatographic method for the determination of Letrozole in pharmaceutical formulation. J. Pharm. Anal. 2012;2(4):298–305. doi: 10.1016/j.jpha.2012.01.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kieffer J., Brémond E., Lienard P. In silico assessment of drug substances chemical stability. J. Mol. Struct. 2010;954:75–79. [Google Scholar]
  • 21.Mendoza-Huizar L.H. Global and local reactivity descriptors for picloram herbicide: a theoretical quantum study. Quim. Nova. 2015;38:71–76. [Google Scholar]
  • 22.Cárdenas C., Rabi N., Ayers P. Chemical reactivity descriptors for ambiphilic reagents: dual descriptor, local hyper softness, and electrostatic potential. J. Phys. Chem. 2009;113:8660–8667. doi: 10.1021/jp902792n. [DOI] [PubMed] [Google Scholar]
  • 23.Morell C., Hocquet A., Grand A. A conceptual DFT study of hydrazino peptides: assessment of the nucleophilicity of the nitrogen atoms by means of the dual descriptor Δf(r) J. Mol. Struct. Theochem. 2008;849:46–51. [Google Scholar]
  • 24.Sharp T.R. Calculated carbon-hydrogen bond dissociation enthalpies for predicting oxidative susceptibility of drug substance molecules. Int. J. Pharm. 2011;418:304–307. doi: 10.1016/j.ijpharm.2011.04.063. [DOI] [PubMed] [Google Scholar]
  • 25.Lienard P., Gavartin J., Boccardi G. Predicting drugs substances autoxidation. Pharm. Res. 2015;32:300–310. doi: 10.1007/s11095-014-1463-7. [DOI] [PubMed] [Google Scholar]
  • 26.The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) 2005. Harmonized Tripartite Guideline Specifications: Validation of Analytical Procedures: Text and Methodology Q2(R1) Current Step 4 version.https://database.ich.org/sites/default/files/Q2%28R1%29%20Guideline.pdf (accessed on 05 July 2019) [Google Scholar]
  • 27.The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) 1996. Harmonised Tripartite Guideline Stability Testing: Photostability Testing of New Drug Substances and Products Q1B Current Step 4 version.https://database.ich.org/sites/default/files/Q2%28R1%29%20Guideline.pdf (accessed on 05 July 2019) [Google Scholar]
  • 28.Parr R.G., Yang W. Oxford University Press; New York: 1989. Density-Functional Theory of Atoms and Molecules; p. 333. [Google Scholar]
  • 29.Blanksby S.J., Ellison G.B. Bond dissociation energies of organic molecules. Acc. Chem. Res. 2003;36:255–263. doi: 10.1021/ar020230d. [DOI] [PubMed] [Google Scholar]
  • 30.Yamada S., Naito Y., Takada M. Photodegradation of hexachlorobenzene and theoretical prediction of its degradation pathways using quantum chemical calculation. Chemosphere. 2008;70:731–736. doi: 10.1016/j.chemosphere.2007.06.039. [DOI] [PubMed] [Google Scholar]
  • 31.Osorio E., Pérez E.G., Areche C. Why is quercetin a better antioxidant then taxifolin? Theorical study of mechanisms involving activated forms. J. Mol. Model. 2013;19:2165–2172. doi: 10.1007/s00894-012-1732-5. [DOI] [PubMed] [Google Scholar]
  • 32.Singh S., Bakshi M. Guidance on conduct of stress test to determine inherent stability of drugs. Pharmaceut. Technol. 2000;24:1–14. [Google Scholar]
  • 33.An H.J., Lee Y., Liu L. Physical and chemical stability of formulations loaded with taxifolin tetra-octanoate. Chem. Pharm. Bull. 2019;67:985–991. doi: 10.1248/cpb.c19-00283. [DOI] [PubMed] [Google Scholar]
  • 34.Barrek S., Paisse O., Grenier-Loustalot M.F. Analysis of neem oils by LC-MS and degradation kinetics of azadirachtin-A in a controlled environment. Anal. Bioanal. Chem. 2004;3:753–763. doi: 10.1007/s00216-003-2377-0. [DOI] [PubMed] [Google Scholar]
  • 35.Mocek M., Richardson P.J. Kinetics and mechanism of quercetin oxidation. J. Inst. Brew. 1972;78:459–465. [Google Scholar]
  • 36.Wang W., Sun C., Mao L. The biological activities chemical stability, metabolism and delivery system of quercetin: a review. Trend. Food Sci. 2016;56:21–38. [Google Scholar]

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