Next Article in Journal
Transcriptomic Analysis of Osmotic Stress-Tolerant Somatic Embryos of Coffea arabica L. Mediated by the Coffee Antisense Trehalase Gene: A Marker-Free Approach
Previous Article in Journal
Stacking in Layered Covalent Organic Frameworks: A Computational Approach and PXRD Reference Guide
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Are Algae a Good Source of Antioxidants? Mechanistic Insights into Antiradical Activity of Eckol

Department of Organic Chemistry and Pharmaceutical Technology, Faculty of Pharmacy, Wroclaw Medical University, Borowska 211A, 50-556 Wroclaw, Poland
Int. J. Mol. Sci. 2025, 26(18), 9223; https://doi.org/10.3390/ijms26189223
Submission received: 6 August 2025 / Revised: 12 September 2025 / Accepted: 18 September 2025 / Published: 21 September 2025

Abstract

Eckol (Eck), a polyphenolic compound of marine origin, exhibits strong scavenging activity against hydroperoxyl radicals. This study explores its acid-base speciation in aqueous media and evaluates its antioxidant potential through electronic, thermochemical, and kinetic analyses under biologically relevant conditions. The deprotonated species of Eck display exceptionally high rate constants for hydrogen atom transfer, indicating a potent antiradical mechanism. The apparent rate constant, accounting for species distribution at physiological pH and the molar fraction of OOH, was calculated as 1.09 × 107 M−1·s−1. Compared to related compounds, Eck demonstrates outstanding hydroperoxyl radical-scavenging capacity, supporting its potential as a natural antioxidant in biological systems.

1. Introduction

Polyphenols represent a diverse group of naturally occurring chemical compounds that have attracted substantial attention across the chemical, biological, and medical sciences. Their widespread application spans from food preservation to pharmaceutical formulations, primarily due to their potent antioxidant properties. Biologically, antioxidants—especially those derived from natural sources—play a crucial role in maintaining the physiological levels of reactive oxygen species (ROS), thereby preventing the oxidative damage that occurs when these species accumulate excessively [1].
ROS such as hydroperoxyl and hydroxyl radicals are highly reactive and capable of transferring energy to essential biomolecules, including lipids, proteins, and nucleic acids. This leads to a cascade of molecular damage, ultimately impairing cellular function and contributing to the pathogenesis of various diseases. Neurodegenerative disorders provide notable examples: Parkinson’s disease is associated with the oxidative destruction of dopaminergic neurons [2], while Alzheimer’s disease involves the aggregation of oxidized amyloid plaques [3]. Beyond neurological conditions, oxidative stress has also been implicated in cardiovascular [4,5,6], metabolic [4,7], and respiratory disorders [8,9]—collectively recognized as major non-communicable diseases of the 21st century. Given this context, the sustained intake of antioxidants has been consistently associated with improved health outcomes and disease prevention [10].
At the molecular level, plant antioxidants neutralize ROS primarily by donating electrons or hydrogen atoms, converting themselves into relatively stable radical species in the process [11]. This transformation is rendered energetically favorable due to the delocalization of unpaired electron density over the aromatic structures of polyphenols. Three structural features are widely recognized as critical to their antioxidant capacity: (1) the presence of hydroxyl groups, which serve as hydrogen donors; (2) the aromatic rings, which facilitate resonance stabilization of the resulting radicals; and (3) the positional arrangement of these hydroxyl groups and other functional motifs, which modulate the efficiency of radical scavenging.
Phlorotannins in brown algae are highly heterogeneous, including simple monomers (phloroglucinol), low-molecular-weight oligomers like Eckol (Eck, Figure 1), and much larger polymers of up to ~100–650 kDa [12,13]. Polymeric phlorotannins have been linked not only to antioxidant defense but also to UV protection [14], herbivore deterrence [15], and the structural reinforcement of algal cell walls [13], suggesting multifunctionality beyond radical scavenging. Eck is particularly abundant in the genus Ecklonia (e.g., E. cava, E. stolonifera, E. maxima) and in Eisenia bicyclis or Ishige okamurae [16,17,18], found in coastal marine environments in East Asia (Japan, Korea). This substance has shown promising biological activities, including antiplasmin inhibition, radioprotective effects, cytoprotection against oxidative stress, and antithrombotic and profibrinolytic properties [18]. Given that, to date, Eck has been isolated from natural sources and the yields of Eck vary depending on extraction and seasonal factors [19]—for instance, pure Eck was obtained from E. cava after methanol extraction followed by HPLC purification, yielding ~20 mg per 1 kg dry alga [20]—little is known about its actual antioxidative potential, and, in general, the mechanistic behavior of marine-derived phlorotannins remains poorly characterized.
To fill this gap, a combined thermochemical and kinetic approach—an advanced and well-established methodology in antioxidant research—was employed to probe the radical-scavenging potential of Eck against hydroperoxyl radicals (OOH). This study represents the very first such systematic computational evaluation of Eck, explicitly considering acid–base speciation and calculating diffusion-limited rate constants under physiological pH. The findings provide a deeper understanding of the molecular mechanisms underlying Eck’s antioxidant activity, offer insights into its potential applications, and lay the groundwork for future studies exploring marine phlorotannins as efficient antioxidants.

2. Results and Discussion

2.1. Eckol Speciation in Water

The different acid–base species of Eck can significantly influence its observed biological activity. To ensure that this study focuses on the biologically relevant forms of Eck, its dissociation constants and molar fractions at physiological pH were assessed using a fitted-parameters method [21] (Figure 2). In the absence of experimental data, these theoretical predictions were considered reliable due to the validated nature of the approach employed. It ensures that the studies forms correspond to the species actually present in human physiological environments, rather than hypothetical or non-relevant protonation states.
Deprotonation begins at a relatively high pH of 7.87 and involves the hydroxyl group at C3, located adjacent to the phloroglucinol unit. Subsequent deprotonation steps involve the hydroxyl groups at C6, C5′, C1, C8, and finally C3′, with pKa values of 8.94, 9.99, 10.39, 10.99, and 11.89, respectively. This results in a solution predominantly composed of the neutral species (H6Eck, 74.33%), followed by the monoanion (H5Eck, 24.95%), and a minor fraction of the dianion, (H4Eck2−, 0.71%).

2.2. Reactivity Indices

The antioxidant activity of polyphenolic compounds through formal hydrogen atom transfer (f-HAT, Equation (1)), in which the polyphenolic OH donates a hydrogen atom to a radical, and single-electron transfer (SET, Equation (2)), in which an electron is transferred from the polyphenol to the radical. These mechanisms can be preliminarily evaluated using two key reactivity indices: bond dissociation energy (BDE, Equation (3)) and adiabatic ionization potential (aIP, Equation (4)), respectively. The lower the value of each index, the more favorable the corresponding mechanism is expected to be. While not universally predictive, previous studies have shown that the Bell–Evans–Polanyi [22,23] principle often applies to antiradical reactions [24], supporting the validity of this approach.
H–A + R → A + R–H
HA + R → HA•+ + R
BDE = E(A) + E(H) − E(HA)
aIP = E(HA•+) + E(e) − E(HA)
A useful method for visualizing and comparing antioxidant properties across different compounds—including reference substances—is the electron–hydrogen-donating ability map (eH-DAMA) [25], presented here for both pentyl ethanoate and aqueous environments (Figure 3). Despite a common protocol for evaluating antiradical activity is followed, individual studies often readjust it. In this context, it is essential to compare results that are consistent with the methodology in order to derive meaningful insights. Therefore, only previously investigated compounds—apigenin (Apg) [26], isorhamnetin (Isr) [27], galangin (Glg) [28], pinocembrin (Pnc) [29], fisetin (Fst) [30], and scutellarein (Stl) [31]—were considered.
As shown, H6Eck in pentyl ethanoate (H6EckPET) exhibits an aIP of 6.0 eV, comparable to that of Glg (5.9 eV) [28] and Pnc (6.1 eV) [29], both flavonoids commonly found in honey. The lowest BDE value observed (99.9 kcal·mol−1) is relatively high in absolute terms, suggesting that while H6EckPET may be a slightly better radical scavenger by f-HAT than Pnc (101.9 kcal·mol−1), its antioxidant effectiveness through hydrogen donation remains limited. As a result, H6EckPET may primarily scavenge OOH with electron donation rather than hydrogen transfer; however, it does not outperform α-tocopherol (α-Toc) in this respect.
In contrast, the aqueous environment significantly alters the reactivity profile. Even in its undissociated form, H6Eck shows the potential to scavenge OOH by both mechanisms. While its BDE is slightly lower than Pnc (92.0 vs. 104.1 kcal·mol−1), the most notable change is the substantial drop in aIP to 4.7 eV, the lowest among the set of neutral species analyzed. Further deprotonation induces a dramatic shift in redox properties: in its monoanionic form, Eck exhibits a sharp reduction in both BDE (84.1 kcal·mol−1) and aIP (3.8 eV). This enhanced electron-donating ability allows H5Eck to outperform not only Trolox (Trx), a strong biological reductant, but potentially any other anionic flavonoid studied. H4Eck2− shows a further, albeit less pronounced, decrease in reactivity indices, with BDE and aIP values of 82.9 kcal·mol−1 and 3.6 eV, respectively.

2.3. Thermochemistry and Kinetics of Type I Antioxidative Reactivity

The thermochemical parameters associated with Eck’s scavenging activity against OOH are presented in Table 1 (for pentyl ethanoate) and Table 2 (for water).
In pentyl ethanoate, H6EckPET exhibits weak antioxidative performance. As computed, only one reaction pathway—f-HAT from the C1 hydroxyl—is marginally favorable according to the energetic threshold of 10 kcal·mol−1 imposed by the evaluation protocol, with a ΔG of 9.2 kcal·mol−1 and a low rate constant of 2.25 × 10−4 M−1·s−1. All other hydroxyls and RAF pathways remain energetically inaccessible, highlighting the limited reactivity in lipid-like environments.
In aqueous solution, however, the true antioxidant potential of Eck becomes apparent. H6Eck is a modest scavenger—it displays the exergonic character of f-HAT from C1, C3, C6, and C8 hydroxyls, with rate constants on the order of ×104. The deprotonated forms, H5Eck and H4Eck2−, demonstrate even higher reactivity, undergoing barrierless, diffusion-limited f-HAT reactions from multiple hydroxyl groups—these processes show no activation energy, as confirmed by the monotonically decreasing PES curve along the hydrogen transfer coordinate. For instance, the barrierless reactions for H5Eck occur at C1, C3′, C5′,and C6 hydroxyls, indicating these as the most potent sites for hydrogen donation in the monoanionic form. Similarly, H4Eck2− shows barrierless f-HAT at C1, C3′, C5′, and C8. It can be concluded that C1 is a key contributor to the substance’s antiradical activity, being consistently linked with a reasonable branching ratio. This enhanced activity in the anionic forms underscores the role of deprotonation in lowering energy barriers and facilitating rapid hydrogen abstraction, likely due to its increased electron density and better solvation in water.
While radical adduct formation pathways are generally much slower than f-HAT across all examined species, they still offer insights into the spin delocalization and bonding preferences of the phenolic moiety. For instance, accessible RAF pathways in H5Eck and H4Eck2−, such as at C4b and C8b, have rate constants orders of magnitude lower than f-HAT, suggesting that most of the radical stabilization occurs at aromatic hydroxyls rather than at carbon centers. Simultaneously, the propensity for SET increases upon deprotonation, consistent with prior findings for polyphenolic compounds [32,33]. This trend validates the predictions made by the eH-DAMA map in Section 2.2.
Overall, the collected data reveal a stark solvent-dependent behavior: Eck’s antioxidative efficacy is minimal in non-polar media but rivals or exceeds that of potent natural antioxidants in aqueous environments, particularly in its deprotonated states, with total rate constants reaching up to 1.91 × 1010 M−1·s−1 for H4Eck2−.
Although the individual values are remarkably high, the observable antioxidant activity in solution is governed by the relative abundance of each species at a given pH. Therefore, the apparent rate constant (kapp), representing the effective scavenging ability of Eck in water, was calculated as a weighted sum of the individual rate constants (ki), adjusted by their molar fractions (xi) and the molar fraction of OOH at pH = 7.4 (0.0025), as expressed in Equation (5):
k a p p = 0.0025 i x i × k i
The resulting value equals 1.09 × 107 M−1·s−1. When compared with flavonoids, Eck fits into the following reactivity trend: Pnc < Apg < Stl < Glg < Fst < Eck < Isr. This shows that Eck is competitive with, or even outperforms, many well-known terrestrial antioxidants under comparable aqueous conditions, highlighting its exceptionally high antiradical potential.
Theoretical research across phlorotannins is still rare. Only recently has diphlorethol been examined with a computational approach, where it displayed slightly higher activity than Eck in water [34]. These results suggest that small differences in structural arrangement within low-molecular-weight phlorotannins can significantly alter radical-scavenging efficiency. The topic is to be studied more extensively in the future.

3. Materials and Methods

The study was conducted using quantum mechanical methods, as implemented in the Gaussian 16 (Rev. C.02) software package [35]. QM calculations are particularly useful for antioxidant studies because they allow one to quantify the energy required for key processes, such as hydrogen atom transfer or single-electron transfer, which underlie radical scavenging.
To ensure that all relevant three-dimensional shapes (conformers) of Eck were considered, a conformational sampling using CREST was performed with metadynamics algorithms [36,37]. This approach systematically explores the potential energy surface and provides a set of low-energy conformers. The most stable conformers were then optimized at the M06-2X/6-311+G(d,p) level of theory [38,39,40,41,42,43], a density functional method that has been validated for thermochemistry and kinetics of antioxidant reactions. Optimizations were performed in two solvent environments—pentyl ethanoate (the largest lipid-phase solvent available in the software, with a dielectric constant of ~4.7, comparable to biological membranes, and validated in prior QM-ORSA studies as a representative lipid-phase model) and water—using the SMD implicit solvation model [44]. This setup allowed to approximate both biological membranes and aqueous intracellular conditions. All thermochemical and kinetic computations were carried out at 298.15 K (25 °C). For the aqueous solution, speciation and rate-constant calculations assumed pH 7.4, corresponding to mammalian physiological conditions.
At each stage of optimization, the ground-state character of the structures was confirmed by frequency calculations, which yielded no imaginary frequencies. Transition-state (TS) optimizations were performed to locate the intermediate geometries between reactants and products. The identity of each TS was confirmed by intrinsic reaction coordinate (IRC) calculations, which ensure that the TS connected the correct reactants and products [45].
Reaction rate constants were derived from activation free energies using Transition State Theory, which links the probability of barrier-crossing to kinetic rates. For SET processes, activation energies were obtained using Marcus theory [46,47,48], which accounts for solvent reorganization during electron transfer. These approaches follow the QM-ORSA protocol [11,49,50,51], which has been widely applied to predict antioxidant activity in polyphenols [11,26,27,28,29,30,31,50,52].

4. Conclusions

This work demonstrates that the antioxidative behavior of Eck is highly dependent on its protonation state, with anionic species showing barrierless and diffusion-limited reactivity toward hydroperoxyl radicals. The remarkably high rate constants for certain of indivial species, reaching ~1010 M−1·s−1, indicate that Eck’s radical-scavenging capacity is not uniform but is governed by its acid–base equilibrium at physiological pH.
Nonetheless, while the computational results show plausible activity for Eck, in vivo, most phlorotannins are present as higher-degree oligomers or polymers rather than as free monomers [53]. They may exhibit reduced mobility, steric hindrance, and limited access to short-lived reactive oxygen species. As a result, Eck’s effectiveness once incorporated into oligomeric or polymeric assemblies may be attenuated. At the same time, larger phlorotannins carry a higher density of phenolic groups, and extended conjugation may actually enhance radical stabilization. To clarify these aspects, future computational studies should extend to dimeric and trimeric structures (e.g., dieckol and bieckol), and ideally to representative polymer fragments, to assess whether they retain the fast hydrogen atom transfer reactivity observed for Eck or whether polymerization entails a systematic trade-off. Such efforts would provide a more realistic picture of how low-molecular-weight units contribute to the overall protective chemistry of brown algae.
Simultaneously, experimental validation is anticipated to enable a more direct comparison between the theoretical predictions and actual antioxidant activity.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data will be made available upon reasonable request.

Acknowledgments

Created using resources provided by Wroclaw Centre for Networking and Supercomputing (http://wcss.pl). MarvinSketch (version 21.15.0, ChemAxon) was used to visualize the 2D-structures.

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Halliwell, B. Reactive Oxygen Species (ROS), Oxygen Radicals and Antioxidants: Where Are We Now, Where Is the Field Going and Where Should We Go? Biochem. Biophys. Res. Commun. 2022, 633, 17–19. [Google Scholar] [CrossRef]
  2. Weng, M.; Xie, X.; Liu, C.; Lim, K.L.; Zhang, C.; Li, L. The Sources of Reactive Oxygen Species and Its Possible Role in the Pathogenesis of Parkinson’s Disease. Park. Dis. 2018, 2018, 9163040. [Google Scholar] [CrossRef] [PubMed]
  3. Bhatt, S.; Puli, L.; Patil, C.R. Role of Reactive Oxygen Species in the Progression of Alzheimer’s Disease. Drug Discov. Today 2021, 26, 794–803. [Google Scholar] [CrossRef] [PubMed]
  4. Incalza, M.A.; D’Oria, R.; Natalicchio, A.; Perrini, S.; Laviola, L.; Giorgino, F. Oxidative Stress and Reactive Oxygen Species in Endothelial Dysfunction Associated with Cardiovascular and Metabolic Diseases. Vasc. Pharmacol. 2018, 100, 1–19. [Google Scholar] [CrossRef]
  5. Panth, N.; Paudel, K.R.; Parajuli, K. Reactive Oxygen Species: A Key Hallmark of Cardiovascular Disease. Adv. Med. 2016, 2016, 9152732. [Google Scholar] [CrossRef]
  6. Taverne, Y.J.H.J.; Bogers, A.J.J.C.; Duncker, D.J.; Merkus, D. Reactive Oxygen Species and the Cardiovascular System. Oxidative Med. Cell. Longev. 2013, 2013, 862423. [Google Scholar] [CrossRef]
  7. Akhigbe, R.; Ajayi, A. The Impact of Reactive Oxygen Species in the Development of Cardiometabolic Disorders: A Review. Lipids Health Dis. 2021, 20, 23. [Google Scholar] [CrossRef]
  8. Paola Rosanna, D.; Salvatore, C. Reactive Oxygen Species, Inflammation, and Lung Diseases. CPD 2012, 18, 3889–3900. [Google Scholar] [CrossRef]
  9. Boukhenouna, S.; Wilson, M.A.; Bahmed, K.; Kosmider, B. Reactive Oxygen Species in Chronic Obstructive Pulmonary Disease. Oxidative Med. Cell. Longev. 2018, 2018, 5730395. [Google Scholar] [CrossRef]
  10. Muscolo, A.; Mariateresa, O.; Giulio, T.; Mariateresa, R. Oxidative Stress: The Role of Antioxidant Phytochemicals in the Prevention and Treatment of Diseases. Int. J. Mol. Sci. 2024, 25, 3264. [Google Scholar] [CrossRef]
  11. Galano, A.; Alvarez-Idaboy, J.R. A Computational Methodology for Accurate Predictions of Rate Constants in Solution: Application to the Assessment of Primary Antioxidant Activity. J. Comput. Chem. 2013, 34, 2430–2445. [Google Scholar] [CrossRef]
  12. Kwon, Y.J.; Kwon, O.I.; Hwang, H.J.; Shin, H.C.; Yang, S. Therapeutic Effects of Phlorotannins in the Treatment of Neurodegenerative Disorders. Front. Mol. Neurosci. 2023, 16, 1193590. [Google Scholar] [CrossRef]
  13. Shrestha, S.; Zhang, W.; Smid, S.D. Phlorotannins: A Review on Biosynthesis, Chemistry and Bioactivity. Food Biosci. 2021, 39, 100832. [Google Scholar] [CrossRef]
  14. Thomas, N.V.; Kim, S.K. Potential Pharmacological Applications of Polyphenolic Derivatives from Marine Brown Algae. Environ. Toxicol. Pharmacol. 2011, 32, 325–335. [Google Scholar] [CrossRef]
  15. Shibata, T.; Nagayama, K.; Sugiura, S.; Makino, S.; Ueda, M.; Tamaru, Y. Analysis on Composition and Antioxidative Properties of Phlorotannins Isolated from Japanese Eisenia and Ecklonia Species. AJPS 2015, 06, 2510–2521. [Google Scholar] [CrossRef]
  16. Manandhar, B.; Paudel, P.; Seong, S.H.; Jung, H.A.; Choi, J.S. Characterizing Eckol as a Therapeutic Aid: A Systematic Review. Mar. Drugs 2019, 17, 361. [Google Scholar] [CrossRef] [PubMed]
  17. Moon, C.; Kim, S.; Kim, J.; Hyun, J.W.; Lee, N.H.; Park, J.W.; Shin, T. Protective Effect of Phlorotannin Components Phloroglucinol and Eckol on Radiation-induced Intestinal Injury in Mice. Phytother. Res. 2008, 22, 238–242. [Google Scholar] [CrossRef] [PubMed]
  18. Zhen, A.X.; Hyun, Y.J.; Piao, M.J.; Fernando, P.D.S.M.; Kang, K.A.; Ahn, M.J.; Yi, J.M.; Kang, H.K.; Koh, Y.S.; Lee, N.H.; et al. Eckol Inhibits Particulate Matter 2.5-Induced Skin Keratinocyte Damage via MAPK Signaling Pathway. Mar. Drugs 2019, 17, 444. [Google Scholar] [CrossRef]
  19. Galano, A.; Pérez-González, A.; Castañeda-Arriaga, R.; Muñoz-Rugeles, L.; Mendoza-Sarmiento, G.; Romero-Silva, A.; Ibarra-Escutia, A.; Rebollar-Zepeda, A.M.; León-Carmona, J.R.; Hernández-Olivares, M.A.; et al. Empirically Fitted Parameters for Calculating pKa Values with Small Deviations from Experiments Using a Simple Computational Strategy. J. Chem. Inf. Model. 2016, 56, 1714–1724. [Google Scholar] [CrossRef]
  20. Bell, R.P. The Theory of Reactions Involving Proton Transfers. Proc. R. Soc. Lond. A 1936, 154, 414–429. [Google Scholar] [CrossRef]
  21. Evans, M.G.; Polanyi, M. Further Considerations on the Thermodynamics of Chemical Equilibria and Reaction Rates. Trans. Faraday Soc. 1936, 32, 1333. [Google Scholar] [CrossRef]
  22. Walton-Raaby, M.; Floen, T.; Mora-Diez, N. Modelling the Repair of Carbon-Centered Protein Radicals by Phenolic Antioxidants. Antioxidants 2024, 13, 1368. [Google Scholar] [CrossRef] [PubMed]
  23. Morales-García, B.C.; Pérez-González, A.; Álvarez-Idaboy, J.R.; Galano, A. Computer-Aided Design of Caffeic Acid Derivatives: Free Radical Scavenging Activity and Reaction Force. J. Mol. Model. 2024, 31, 30. [Google Scholar] [CrossRef] [PubMed]
  24. Spiegel, M.; Sroka, Z. Quantum-Mechanical Characteristics of Apigenin: Antiradical, Metal Chelation and Inhibitory Properties in Physiologically Relevant Media. Fitoterapia 2023, 164, 105352. [Google Scholar] [CrossRef]
  25. Spiegel, M.; Ciardullo, G.; Marino, T.; Russo, N. Computational Investigation on the Antioxidant Activities and on the Mpro SARS-CoV-2 Non-Covalent Inhibition of Isorhamnetin. Front. Chem. 2023, 11, 1122880. [Google Scholar] [CrossRef]
  26. Spiegel, M. Unveiling the Antioxidative Potential of Galangin: Complete and Detailed Mechanistic Insights through Density Functional Theory Studies. J. Org. Chem. 2024, 89, 8676–8690. [Google Scholar] [CrossRef]
  27. Spiegel, M. Theoretical Insights into the Oxidative Stress-Relieving Properties of Pinocembrin─An Isolated Flavonoid from Honey and Propolis. J. Phys. Chem. B 2023, 127, 8769–8779. [Google Scholar] [CrossRef]
  28. Spiegel, M. Fisetin as a Blueprint for Senotherapeutic Agents—Elucidating Geroprotective and Senolytic Properties with Molecular Modeling. Chem. A Eur. J. 2025, 31, e202403755. [Google Scholar] [CrossRef]
  29. Spiegel, M.; Marino, T.; Prejanò, M.; Russo, N. On the Scavenging Ability of Scutellarein against the OOH Radical in Water and Lipid-like Environments: A Theoretical Study. Antioxidants 2022, 11, 224. [Google Scholar] [CrossRef]
  30. Spiegel, M.; Prejanò, M.; Russo, N.; Marino, T. Primary Antioxidant Power and Mpro SARS-CoV-2 Non-Covalent Inhibition Capabilities of Miquelianin. Chem. Asian J. 2024, 19, e202400079. [Google Scholar] [CrossRef]
  31. Spiegel, M.; Kowalczyk, A. Aglycone, Glycoside, or Glucuronide? Experimental and Mechanistic Insights into the Antioxidative Potential of Gossypetin, Gossypin, and Hibifolin. J. Phys. Chem. B 2025, 129, 7593–7601. [Google Scholar] [CrossRef]
  32. Van, C.A.; Hai, T.Q.; Ha, N.X.; Hanh, N.T.; Linh, N.N.; Son, N.T. Antiradical Potency of Diphlorethol: DFT (Density Functional Theory), Molecular Docking, and ADMET Profile. J. Phys. Org. Chem. 2025, 38, e70029. [Google Scholar] [CrossRef]
  33. Frisch, M.J.; Trucks, G.W.; Schlegel, H.B.; Scuseria, G.E.; Robb, M.A.; Cheeseman, J.R.; Scalmani, G.; Barone, V.; Petersson, G.A.; Nakatsuji, H.; et al. Gaussian, version 16; Revision C.01; Gaussian, Inc.: Wallingford, UK, 2016. [Google Scholar]
  34. Pracht, P.; Bohle, F.; Grimme, S. Automated Exploration of the Low-Energy Chemical Space with Fast Quantum Chemical Methods. Phys. Chem. Chem. Phys. 2020, 22, 7169–7192. [Google Scholar] [CrossRef]
  35. Pracht, P.; Grimme, S.; Bannwarth, C.; Bohle, F.; Ehlert, S.; Feldmann, G.; Gorges, J.; Müller, M.; Neudecker, T.; Plett, C.; et al. CREST—A Program for the Exploration of Low-Energy Molecular Chemical Space. J. Chem. Phys. 2024, 160, 114110. [Google Scholar] [CrossRef]
  36. Krishnan, R.; Binkley, J.S.; Seeger, R.; Pople, J.A. Self-Consistent Molecular Orbital Methods. XX. A Basis Set for Correlated Wave Functions. J. Chem. Phys. 1980, 72, 650–654. [Google Scholar] [CrossRef]
  37. Clark, T.; Chandrasekhar, J.; Spitznagel, G.W.; Schleyer, P.V.R. Efficient Diffuse Function-augmented Basis Sets for Anion Calculations. III. The 3-21+G Basis Set for First-row Elements, Li–F. J. Comput. Chem. 1983, 4, 294–301. [Google Scholar] [CrossRef]
  38. Zhao, Y.; Truhlar, D.G. Exploring the Limit of Accuracy of the Global Hybrid Meta Density Functional for Main-Group Thermochemistry, Kinetics, and Noncovalent Interactions. J. Chem. Theory Comput. 2008, 4, 1849–1868. [Google Scholar] [CrossRef] [PubMed]
  39. Zhao, Y.; Truhlar, D.G. A New Local Density Functional for Main-Group Thermochemistry, Transition Metal Bonding, Thermochemical Kinetics, and Noncovalent Interactions. J. Chem. Phys. 2006, 125, 194101. [Google Scholar] [CrossRef] [PubMed]
  40. Zhao, Y.; Truhlar, D.G. The M06 Suite of Density Functionals for Main Group Thermochemistry, Thermochemical Kinetics, Noncovalent Interactions, Excited States, and Transition Elements: Two New Functionals and Systematic Testing of Four M06-Class Functionals and 12 Other Functionals. Theor Chem Acc. 2007, 120, 215–241. [Google Scholar] [CrossRef]
  41. Zhao, Y.; Truhlar, D.G. How Well Can New-Generation Density Functionals Describe the Energetics of Bond-Dissociation Reactions Producing Radicals? J. Phys. Chem. A 2008, 112, 1095–1099. [Google Scholar] [CrossRef]
  42. Marenich, A.V.; Cramer, C.J.; Truhlar, D.G. Universal Solvation Model Based on Solute Electron Density and on a Continuum Model of the Solvent Defined by the Bulk Dielectric Constant and Atomic Surface Tensions. J. Phys. Chem. B 2009, 113, 6378–6396. [Google Scholar] [CrossRef]
  43. Fukui, K. The Path of Chemical Reactions-the IRC Approach. Acc. Chem. Res. 1981, 14, 363–368. [Google Scholar] [CrossRef]
  44. Marcus, R.A. On the Theory of Oxidation-Reduction Reactions Involving Electron Transfer. II. Applications to Data on the Rates of Isotopic Exchange Reactions. J. Chem. Phys. 1957, 26, 867–871. [Google Scholar] [CrossRef]
  45. Marcus, R.A. Chemical and Electrochemical Electron-Transfer Theory. Annu. Rev. Phys. Chem. 1964, 15, 155–196. [Google Scholar] [CrossRef]
  46. Marcus, R.A. Electron Transfer Reactions in Chemistry. Theory and Experiment. Rev. Mod. Phys. 1993, 65, 599–610. [Google Scholar] [CrossRef]
  47. Galano, A.; Alvarez-Idaboy, J.R. Kinetics of Radical-molecule Reactions in Aqueous Solution: A Benchmark Study of the Performance of Density Functional Methods. J. Comput. Chem. 2014, 35, 2019–2026. [Google Scholar] [CrossRef]
  48. Galano, A.; Mazzone, G.; Alvarez-Diduk, R.; Marino, T.; Alvarez-Idaboy, J.R.; Russo, N. Food Antioxidants: Chemical Insights at the Molecular Level. Annu. Rev. Food Sci. Technol. 2016, 7, 335–352. [Google Scholar] [CrossRef]
  49. Guzman-Lopez, E.; Reina, M.; Perez-Gonzalez, A.; Francisco-Marquez, M.; Hernandez-Ayala, L.; Castañeda-Arriaga, R.; Galano, A. CADMA-Chem: A Computational Protocol Based on Chemical Properties Aimed to Design Multifunctional Antioxidants. Int. J. Mol. Sci. 2022, 23, 13246. [Google Scholar] [CrossRef]
  50. Galano, A.; Raúl Alvarez-Idaboy, J. Computational Strategies for Predicting Free Radical Scavengers’ Protection against Oxidative Stress: Where Are We and What Might Follow? Int J Quantum Chem. 2018, 119, e25665. [Google Scholar] [CrossRef]
  51. Isaza Martínez, J.H.; Torres Castañeda, H.G. Preparation and Chromatographic Analysis of Phlorotannins. J. Chromatogr. Sci. 2013, 51, 825–838. [Google Scholar] [CrossRef]
  52. Heo, S.J.; Ko, S.C.; Cha, S.H.; Kang, D.H.; Park, H.S.; Choi, Y.U.; Kim, D.; Jung, W.K.; Jeon, Y.J. Effect of Phlorotannins Isolated from Ecklonia Cava on Melanogenesis and Their Protective Effect against Photo-Oxidative Stress Induced by UV-B Radiation. Toxicol. Vitr. 2009, 23, 1123–1130. [Google Scholar] [CrossRef]
  53. Van Alstyne, K.L.; Whitman, S.L.; Ehlig, J.M. Differences in Herbivore Preferences, Phlorotannin Production, and Nutritional Quality between Juvenile and Adult Tissues from Marine Brown Algae. Mar. Biol. 2001, 139, 201–210. [Google Scholar] [CrossRef]
Figure 1. Structure of Eckol.
Figure 1. Structure of Eckol.
Ijms 26 09223 g001
Figure 2. Deprotonation pathway and corresponding dissociation constants for each step.
Figure 2. Deprotonation pathway and corresponding dissociation constants for each step.
Ijms 26 09223 g002
Figure 3. Electron–hydrogen-donating ability map (eH-DAMA) for pentyl ethanoate (left) and water (right), constructed using BDE and aIP values for eckol and reference compounds (Apg—apigenin; Isr—isorhamnetin; Stl—scutellarein; a-Toc—ɑ-Tocopherol; Fst—fisetin; Glg—galangin; Pnc—pinocembrin; Asc—ascorbate; Trx—trolox monoanion) [26,27,28,29,30,31].
Figure 3. Electron–hydrogen-donating ability map (eH-DAMA) for pentyl ethanoate (left) and water (right), constructed using BDE and aIP values for eckol and reference compounds (Apg—apigenin; Isr—isorhamnetin; Stl—scutellarein; a-Toc—ɑ-Tocopherol; Fst—fisetin; Glg—galangin; Pnc—pinocembrin; Asc—ascorbate; Trx—trolox monoanion) [26,27,28,29,30,31].
Ijms 26 09223 g003
Table 1. Gibbs free energies of reaction (ΔG, in kcal·mol−1) 1 for OOH scavenging in pentyl ethanoate. Activation energies (ΔG, in kcal·mol−1) 1, rate constants (k, in M−1·s−1) 2, and branching ratios (Γ, in %) are tabulated for accessible pathways only.
Table 1. Gibbs free energies of reaction (ΔG, in kcal·mol−1) 1 for OOH scavenging in pentyl ethanoate. Activation energies (ΔG, in kcal·mol−1) 1, rate constants (k, in M−1·s−1) 2, and branching ratios (Γ, in %) are tabulated for accessible pathways only.
MechanismH6EckPET
ΔGΔGkΓ
f-HAT
C19.225.22.25 × 10−4100.0
C310.6
C3′49.6
C5′16.2
C612.9
C811.0
RAF
C125.6
C1′27.9
C227.8
C2′28.7
C325.2
C3′31.5
C426.5
C4a24.2
C4b22.5
C4′28.7
C528.8
C5′31.5
C628.8
C6′28.9
C727.1
C861.8
C8a26.0
C8b22.8
1 Gibbs free energies and activation energies are calculated at the 1 M standard state and include solvent cage effects. 2 Rate constants include Eckart tunneling corrections and account for diffusion limits.
Table 2. Gibbs free energies of reaction (ΔG, in kcal·mol−1) 1 for OOH scavenging in water. Activation energies (ΔG, in kcal·mol−1) 1, rate constants (k, in M−1·s−1) 2, and branching ratios (Γ, in %) are tabulated for accessible pathways only.
Table 2. Gibbs free energies of reaction (ΔG, in kcal·mol−1) 1 for OOH scavenging in water. Activation energies (ΔG, in kcal·mol−1) 1, rate constants (k, in M−1·s−1) 2, and branching ratios (Γ, in %) are tabulated for accessible pathways only.
\H6EckH5EckH4Eck2−
ΔGΔGkΓΔGΔGkΓΔGΔGkΓ
f-HAT
C1−3.515.35.39 × 10426.12−11.40.0 34.23×10924.98−13.40.0 34.24×10922.21
C3−4.415.46.08 × 10429.47
C3′17.7 −2.00.0 34.23 × 10924.98−4.30.0 34.24 × 10922.21
C5′17.7 −2.20.0 34.23 × 10924.98−4.70.0 34.24 × 10922.21
C6−2.416.45.68 × 10427.52−2.40.0 34.23 × 10924.98
C8−2.216.03.17 × 10415.36−2.617.76.36 × 1030.00−10.30.0 34.24 × 10922.21
RAF
C111.9 12.4 10.7
C1′12.3 15.2 15.1
C213.0 9.013.94.26 × 1020.008.813.52.66 × 1030.00
C2′12.9 13.5 13.3
C310.0 11.9 11.4
C3′15.0 15.5 14.7
C410.4 1.911.15.01 × 1040.001.510.21.63 × 1060.01
C4a8.919.01.03 × 10−10.007.115.71.91 × 1010.006.412.26.56 × 1040.00
C4b7.012.83.12 × 1031.517.213.31.26 × 1030.001.96.28.88 × 1084.65
C4′13.6 14.0 14.6
C512.5 12.1 12.6
C5′15.6 15.2 15.7
C614.3 13.8 11.3
C6′15.0 14.8 15.0
C712.0 11.8 9.816.94.10 × 1010.00
C844.0 40.6 33.9
C8a9.619.27.90 × 10−20.009.919.82.77 × 1020.008.215.83.07 × 1020.00
C8b7.015.72.22 × 1010.01−1.47.81.35 × 1070.08−0.36.21.23 × 1096.43
SET
26.022.33.66 × 10−70.004.89.47.39 × 1050.001.47.81.17 × 1070.06
ki 2.06 × 105 1.69 × 1010 1.91 × 1010
1 Gibbs free energies and activation energies are calculated at the 1 M standard state and include solvent cage effects. 2 Rate constants include Eckart tunneling corrections and account for diffusion limits. 3 The reaction was found to be barrierless, as confirmed by a descending potential energy surface (PES) along the hydrogen transfer coordinate from the hydroxyl group to the radical.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Spiegel, M. Are Algae a Good Source of Antioxidants? Mechanistic Insights into Antiradical Activity of Eckol. Int. J. Mol. Sci. 2025, 26, 9223. https://doi.org/10.3390/ijms26189223

AMA Style

Spiegel M. Are Algae a Good Source of Antioxidants? Mechanistic Insights into Antiradical Activity of Eckol. International Journal of Molecular Sciences. 2025; 26(18):9223. https://doi.org/10.3390/ijms26189223

Chicago/Turabian Style

Spiegel, Maciej. 2025. "Are Algae a Good Source of Antioxidants? Mechanistic Insights into Antiradical Activity of Eckol" International Journal of Molecular Sciences 26, no. 18: 9223. https://doi.org/10.3390/ijms26189223

APA Style

Spiegel, M. (2025). Are Algae a Good Source of Antioxidants? Mechanistic Insights into Antiradical Activity of Eckol. International Journal of Molecular Sciences, 26(18), 9223. https://doi.org/10.3390/ijms26189223

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop