Interfacial binding and mechanistic insights into enzyme-mediated homogeneous mineralization on TiO₂ nanotubes: A combined experimental and multi-scale computational study

Jiaojiao Yun , Kaiting Yuan , Xiaoshuang Wang , Jingyan Huang , Ruoyu Li , Huanhuan Liu , Lili Zhang , Alex Fok , Yan Wang

Dental Research ›› 2026, Vol. 1 ›› Issue (2) : 100030

PDF (20607KB)
Dental Research ›› 2026, Vol. 1 ›› Issue (2) :100030 DOI: 10.1016/j.dtrs.2026.100030
Research Article
research-article
Interfacial binding and mechanistic insights into enzyme-mediated homogeneous mineralization on TiO₂ nanotubes: A combined experimental and multi-scale computational study
Author information +
History +
PDF (20607KB)

Abstract

Enzyme-mediated mineralization offers a versatile strategy for developing advanced composite biomaterials, yet the precise mechanisms involving kinetic mineral-interface bonding and mineral growth remain elusive. Herein, we systematically optimized the parameters for alkaline phosphatase (ALP)-mediated mineralization on TiO₂ nanotubes (TNT) surfaces. To bridge the gap between macroscopic observations and microscopic origins, we employed an integrated approach combining molecular dynamics simulations (MDS) and first-principles calculations to elucidate the underlying atomistic and electronic-level mechanisms. Experimental results demonstrated that ALP regulates mineralization by catalyzing the hydrolysis of organic phosphate, thereby maintaining a sustained and controllable local supply of PO₄³⁻ ions. Molecular dynamics simulations revealed that ALP acts as a molecular regulator by forming stable ALP-CaP clusters. These clusters temporarily delay the direct aggregation of Ca²⁺ and PO₄³⁻ ions, therefore preventing premature precipitation and promoting homogeneous mineral deposition within the TNT scaffolds. Subsequently, first-principles calculations provided deep insights into the electronic structure, identifying specific coordination sites and quantifying the interfacial binding energies between these mineral precursors and the TNT internal surfaces. The analysis confirms that ALP residues bridge CaP clusters to the TNT interface via Ca²⁺–O–COO– (coordination bond) and OPO₄³⁻–H–NH₂ (hydrogen bond), while Ca²⁺ ions from the clusters anchor simultaneously to the TNT. These multi-point interactions and charge redistribution collectively enhance the interfacial binding energy. The resulting composites exhibit a potent inductive effect on osteogenesis. This synergy of experiment and theory provides a comprehensive understanding of the interfacial physics driving mineral deposition during enzyme-mediated mineralization, laying the foundation for the development of functional biomimetic interfaces.

Keywords

Surface coordination / Interfacial binding energy / Enzyme-mediated homogeneous mineralization / Molecular dynamic simulation / First-principles study

Cite this article

Download citation ▾
Jiaojiao Yun, Kaiting Yuan, Xiaoshuang Wang, Jingyan Huang, Ruoyu Li, Huanhuan Liu, Lili Zhang, Alex Fok, Yan Wang. Interfacial binding and mechanistic insights into enzyme-mediated homogeneous mineralization on TiO₂ nanotubes: A combined experimental and multi-scale computational study. Dental Research, 2026, 1 (2) : 100030 DOI:10.1016/j.dtrs.2026.100030

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

S. Tang, et al., Advances in biomineralization-inspired materials for hard tissue repair, Int. J. Oral. Sci. 13 (2021) 42-66.

[2]

D.P. McDonogh, et al., Redefined ion association constants have consequences for calcium phosphate nucleation and biomineralization, Nat. Commun. 15 (2024) 3359-3371.

[3]

L.N. Niu, et al., Collagen intrafibrillar mineralization as a result of the balance between osmotic equilibrium and electroneutrality, Nat. Mater. 16 (2017) 370-378.

[4]

M. Lin, et al., Carboxymethyl chitosan as a polyampholyte mediating intrafibrillar mineralization of collagen via collagen/ACP self-assembly, J. Mater. Res. Technol. 35 (2019) 1894-1905.

[5]

X. Zhu, et al., Biomimetic mineralized collagen-functionalized microporous titanium alloy interface enhances osseointegration by regulating osteogenic microenvironment, J. Mater. Res. Technol. 269 (2025) 138-151.

[6]

J. Wu, et al., Enzyme-directed biomineralization coating on TiO(2) nanotubes and its positive effect on osteogenesis, ACS Biomater. Sci. Eng. 5 (2019) 2769-2777.

[7]

G. Chen, et al., Bioinspired 3D printing of functional materials by harnessing enzyme-induced biomineralization, Adv. Funct. Mater. 32 (2022) 2113262-2113271.

[8]

N. Li, et al., Alkaline phosphatase enzyme-induced biomineralization of chitosan scaffolds with enhanced osteogenesis for bone tissue engineering, Chem. Eng. J. 371 (2019) 618-630.

[9]

J. Yun, et al., Enzyme-mediated mineralization of TiO2 nanotubes subjected to different heat treatments, Cryst. Growth Des. 19 (2019) 7112-7121.

[10]

E. Colaco, et al., Enzyme-assisted mineralization of calcium phosphate: exploring confinement for the design of highly crystalline nano-objects, Nanoscale 12 (2020) 10051-10064.

[11]

N.A. Garcia, et al., Simulation of calcium phosphate prenucleation clusters in aqueous solution: association beyond ion pairing, Cryst. Growth Des. 19 (2019) 6422-6430.

[12]

C. Park, J. Jung, G.J. Yun, Thermomechanical properties of mineralized nitrogen-doped carbon nanotube/polymer nanocomposites by molecular dynamics simulations, Compos. Part B Eng. 161 (2019) 639-650.

[13]

Y. Yang, Q. Cui, N. Sahai, How does bone sialoprotein promote the nucleation of hydroxyapatite? A molecular dynamics study using model peptides of different conformations, Langmuir 26 (2010) 9848-9859.

[14]

Z. Xue, M. Yang, D. Xu, Nucleation of biomimetic hydroxyapatite nanoparticles on the surface of type I collagen: molecular dynamics investigations, J. Phys. Chem. C 123 (2019) 2533-2543.

[15]

M. Golda-Cepa, et al., Functionalization of the parylene C surface enhances the nucleation of calcium phosphate: combined experimental and molecular dynamics simulations approach, ACS Appl. Mater. Interfaces 12 (2020) 12426-12435.

[16]

S. Shirazi-Fard, et al., Encapsulation and release of doxorubicin from TiO(2) nanotubes: Experiment, density functional theory calculations, and molecular dynamics simulation, J. Phys. Chem. B 125 (2021) 5549-5558.

[17]

J. Wu, et al., Growth factors enhanced angiogenesis and osteogenesis on polydopamine coated titanium surface for bone regeneration, Mater. Des. 196 (2020) 109162-109176.

[18]

I. Zeydabadi-Nejad, et al., Exceptional behavior of anatase TiO2 nanotubes in axial loading: a molecular dynamics study of the effect of surface wrinkles, Comput. Mater. Sci. 158 (2019) 307-314.

[19]

W.L. Jorgensen, et al., Comparison of simple potential functions for simulating liquid water, J. Chem. Phys. 79 (1983) 926-935.

[20]

H. Wang, et al., Effects of alloy elements on adsorption of fibrinogen on biodegradable magnesium alloys surfaces: the MD simulations and experimental studies, Appl. Surf. Sci. 512 (2020) 145725-145735.

[21]

D. Zhang, et al., Active machine learning model for the dynamic simulation and growth mechanisms of carbon on metal surface, Nat. Commun. 15 (2024) 344-353.

[22]

Q. Yang, C.A. Sing-Long, E.J. Reed, Learning reduced kinetic Monte Carlo models of complex chemistry from molecular dynamics, Chem. Sci. 8 (2017) 5781-5796.

[23]

P. Borlido, et al., Exchange-correlation functionals for band gaps of solids: benchmark, reparametrization and machine learning, npj Comput. Mater. 6 (2020) 96.

[24]

X. Luo, et al., Deep learning generative model for crystal structure prediction, npj Comput. Mater. 10 (2024) 254.

[25]

S. Takamoto, et al., Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements, Nat. Commun. 13 (2022) 2991-3001.

[26]

Y. Zhang, et al., Efficient first-principles prediction of solid stability: towards chemical accuracy, npj Comput. Mater. 4 (2018) 9.

[27]

C. Middleton, B.F.E. Curchod, T.J. Penfold, Partial density of states representation for accurate deep neural network predictions of X-ray spectra, Phys. Chem. Chem. Phys. 26 (2024) 24477-24487.

[28]

N.R. Knosgaard, K.S. Thygesen, Representing individual electronic states for machine learning GW band structures of 2D materials, Nat. Commun. 13 (2022) 468-477.

[29]

Z.K. Han, et al., Single-atom alloy catalysts designed by first-principles calculations and artificial intelligence, Nat. Commun. 12 (2021) 1833-1841.

[30]

J.H. Montoya, K.A. Persson, A high-throughput framework for determining adsorption energies on solid surfaces, NPJ Comput. Mater. 3 (2017) 14.

[31]

L.T. de Jonge, et al., vitro responses to electrosprayed alkaline phosphatase/calcium phosphate composite coatings, Acta Biomater. 5 (2009) 2773-2782.

[32]

H. Zhang, et al., Catalytic activity of violet phosphorus-based nanosystems and the role of metabolites in tumor therapy, Nat. Commun. 15 (2024) 6783-6799.

[33]

W. Li, et al., Novel BiOCl/TiO2 hierarchical composites: Synthesis, characterization and application on photocatalysis, Appl. Catal. A Gen. 516 (2016) 81-89.

[34]

M. Salarian, et al., Hydroxyapatite-TiO(2)-based nanocomposites synthesized in supercritical CO(2) for bone tissue engineering: physical and mechanical properties, ACS Appl. Mater. Interfaces 6 (2014) 16918-16931.

[35]

M.C.O. Monteiro, et al., Metal-phosphate bilayers for anatase surface modification, ACS Appl. Mater. Interfaces 10 (2018) 6661-6672.

[36]

W.J. Habraken, et al., Ion-association complexes unite classical and non-classical theories for the biomimetic nucleation of calcium phosphate, Nat. Commun. 4 (2013) 1507-1518.

[37]

G. Tan, et al., Effect of amino-, methyl- and epoxy-silane coupling as a molecular bridge for formatting a biomimetic hydroxyapatite coating on titanium by electrochemical deposition, J. Mater. Res. Technol. 32 (2016) 956-965.

[38]

K. Chatzipanagis, et al., Crystallization of citrate-stabilized amorphous calcium phosphate to nanocrystalline apatite: a surface-mediated transformation, Cryst. Eng. Comm. 18 (2016) 3170-3173.

[39]

J. Yun, et al., A kinetic model for hydroxyapatite precipitation in mineralizing solutions, Cryst. Growth Des. 18 (2018) 2717-2725.

[40]

B. Jin, et al., Phase transformation mechanism of amorphous calcium phosphate to hydroxyapatite investigated by liquid-cell transmission electron microscopy, Cryst. Growth Des. 21 (2021) 5126-5134.

[41]

A. Lotsari, et al., Transformation of amorphous calcium phosphate to bone-like apatite, Nat. Commun. 9 (2018) 4170-4180.

[42]

E. Colaco, et al., Calcium phosphate mineralization through homogenous enzymatic catalysis: Investigation of the early stages, J. Colloid Interface Sci. 565 (2020) 43-54.

[43]

S. Habelitz, Y. Bai, Mechanisms of enamel mineralization guided by amelogenin nanoribbons, J. Dent. Res. 100 (2021) 1434-1443.

[44]

Z. Zou, et al., Additives influence the phase behavior of calcium carbonate solution by a cooperative ion-association process, J. Mater. Chem. B 6 (2018) 449-457.

[45]

M.J. Shen, et al., Multifunctional nanomachinery for enhancement of bone healing, Adv. Mater. 34 (2022) e2107924-2107935.

[46]

C.M. Jonsson, et al., Adsorption of l-aspartate to rutile (α-TiO2): Experimental and theoretical surface complexation studies, Geochim. Cosmochim. Acta 74 (2010) 2356-2367.

[47]

A.M. Sultan, Z.E. Hughes, T.R. Walsh, Binding affinities of amino acid analogues at the charged aqueous titania interface: implications for titania-binding peptides, Langmuir 30 (2014) 13321-13329.

[48]

M.J. Limo, et al., Interactions between metal oxides and biomolecules: from fundamental understanding to applications, Chem. Rev. 118 (2018) 11118-11193.

[49]

X. Zheng, et al., Bioinspired controllable CaCO3 synthesis from solid waste by an “all in one” amino acid-in strategy: Implication for CO2 mineralization, Chem. Eng. J. 480 (2024) 148037-148047.

[50]

B. Tan, et al., Biomimetic hydroxyapatite coating on the 3D-printed bioactive porous composite ceramic scaffolds promoted osteogenic differentiation via PI3K/AKT/mTOR signaling pathways and facilitated bone regeneration in vivo, J. Mater. Res. Technol. 136 (2023) 54-64.

[51]

Q. Xu, et al., Porous Ti3SiC2 ceramics with improved osteogenic functions via biomineralization as load-bearing bone implants, J. Mater. Res. Technol. 195 (2024) 248-259.

[52]

Y. Bai, et al., Manipulation of heterogeneous surface electric potential promotes osteogenesis by strengthening RGD peptide binding and cellular mechanosensing, Adv. Mater. 35 (2023) e2209769-2209781.

PDF (20607KB)

6

Accesses

0

Citation

Detail

Sections
Recommended

/