Adsorption Mode Research Articles

Transitions between equilibrium and nonequilibrium phenomena in the description of crystal growth

The close intertwining of equilibrium and nonequilibrium thermodynamic representations and transitions between the two limiting principles of thermodynamics: the second beginning and the principle of least coercion (minimum entropy production in the stationary regime) constitute the main content of phenomenological theories of crystal growth. The difference of basic postulates of two sections of thermodynamics forces to discuss problems of reversibility and irreversibility of time, scales of observed phenomena and rules of conjugation of thermodynamic forces and flows in theories of crystal growth. A variant of the solution of some conjugation problems is shown on the example of the fluctuation model of dislocation crystal growth, which is based on the stationary isothermal process of thermodynamic free energy fluctuations. In the case of the limiting mode of adsorption of impurities on the crystal face according to the Langmuir model, the free energy fluctuations possessing the absence of the memory effect allow us to identify three chemical potentials of building particles that determine the corresponding values of solution supersaturations realized at different scale levels at the growing crystal face containing a helical dislocation. The supersaturations control quasi-equilibrium and nonequilibrium thermodynamic processes that constitute a single dislocation mechanism of crystal growth.

Characteristics and Mechanism of Hematite Dissolution and Release on Arsenic Migration in Heterogeneous Materials

The migration of arsenic in groundwater is influenced by the heterogeneity of the medium, and the presence of iron minerals adds complexity and uncertainty to this effect. In this study, a stratified heterogeneous sand column with an embedded hematite lens at the coarse-to-medium sand interface was designed. We introduced an arsenic-laden solution and controlled groundwater flow to investigate the spatiotemporal characteristics of arsenic migration and the impact of hematite dissolution. The results showed that the medium structure significantly influenced the arsenic migration and distribution within the lens-containing sand column. The clay layers directed the lateral migration of arsenic, and the arsenic concentrations in deeper layers were up to seven times greater than those on the surface. The extraction experiments of solid-phase arsenic revealed that the main adsorption modes on quartz sand surfaces were the specific adsorption (F2) and adsorption on weakly crystalline iron–aluminum oxides (F3), correlating to the specific and colloidal adsorption modes, respectively. Monitoring the total iron ions (Fe(aq)) revealed rapid increases within the first 14 days, reaching a maximum on day 15, and then gradually declining; these results indicate that hematite did not continuously dissolve. This study can aid in the prevention and control of arsenic contamination in groundwater.

Adjacent Fe-Pt atomic site synergistically boosting wearable biosensor performance in sweat analysis

Wearable electrochemical sensors have enormous potential in real-time and continuous monitoring of an individual’s physiological and biological state. In electrocatalysis, single-atom catalysts (SACs) with Fe-N4 active centers are attracting interest for their nearly complete metal utilization rate and unique unsaturated coordination configuration. Yet, their reliance on a single active site leads to a fixed adsorption mode for oxygen intermediates such as OH, greatly constraining design flexibility and catalytic performance. This study explores the synergistic effects between Fe-N4 and Pt-N4 active sites and their impact on the electrocatalytic activity towards uric acid (UA) and dopamine (DA). Proximal Pt-N4 atoms facilitate the activation of OH species on the Fe-N4 site and modulate the rehybridization of Fe d orbitals, thereby enhancing the adsorption of oxygen intermediates. This mechanism accelerates the overall electrocatalytic process for both UA and DA. Moreover, a non-swelling double network hydrogel is designed by combining chitosan with the P(AA-MEA)-Fe network. As a practical application, the non-swelling hydrogel channel, when combined with FeN4/PtN4 catalyst, successfully achieves real-time on-site detection of skin sweat biomarkers.

Unveiling O2 adsorption on non-metallic active site for selective photocatalytic H2O2 production

Photocatalytic oxygen reduction reaction (ORR) offers a promising pathway for sustainable hydrogen peroxide (H2O2) production but faces challenges in developing catalysts with good ORR selectivity. Herein, we report that tailoring O2 adsorption on non-metallic active sites can optimize ORR selectivity. This concept is demonstrated on three carbon nitrides with different atomic configurations: polymeric carbon nitride (PCN), lithium-poly triazine imide (Li-PTI), and sodium-poly heptazine imide (Na-PHI). Na-PHI emerges as a strong candidate for H2O2 production due to the end-on adsorption mode and suitable adsorption strength with O2. Synthesized Na-PHI, PCN, and Li-PTI are characterized, with Na-PHI showing superior light absorption, charge carrier separation, and remarkable selectivity (92 %) for two-electron ORR. Consequently, Na-PHI achieves a high H2O2 generation rate of 3.48 mmol g−1 h−1, surpassing Li-PTI and PCN by 9.2 and 33 times, respectively. This study underscores the importance of O2 adsorption on non-metallic active sites for selective photocatalytic H2O2 generation.

Adsorption of Guanine on Oxygen-Deficient TiO2 Surface: A Combined MD-DFTB/DFT Strategy.

Metal oxides (MOs) are key materials in many fields, including technological, industrial, and biomedical applications. In most of these implementations, surface reactivity and reducibility properties are critical considerations. In their nanosized form, MOs exhibit enhanced reactivity that is connected to toxicity. Besides the fact that the biological molecule and the surface of the corresponding material interact chemically, little is known about the toxicological mechanisms involved on the atomic scale. The goal of this study is to investigate the role of TiO2 surfaces in interaction with one genetic base, namely guanine. Using a combination of the quasi-electronic density functional-tight binding molecular dynamics simulations and density functional theory calculations, we explored the adsorption modes of guanine with a stoichiometric and oxygen-deficient anatase TiO2 (101) surface. With such an approach, we have characterized new adsorption modes not previously found, and we have highlighted the relevance of defective surfaces in the adsorption of genetic basis, as a model for explaining possible toxicology mechanisms induced by the adsorption process.

Review: Analysis and future prospects of adsorption techniques employed by wall-climbing

Based on the application of wall-climbing robots in recent years, this article classifies the existing wall-climbing robots in detail from the point of view of adsorption methods, systematically introduces the development status of various adsorption methods, and analyzes the advantages and disadvantages of various adsorption methods combined with application examples. Combined with the current research hotspot, the future development focus of adsorption method is analyzed. This article systematically analyzes the problems encountered by wall-climbing robots in wall movement, and provides a summary of key technologies. The problems of modular design are summarized, and the development direction of adsorption mode and moving unit is prospected.

Tailoring O-Monodentate Adsorption of CO2 Initiates C-N Coupling for Efficient Urea Electrosynthesis with Ultrahigh Carbon Atom Economy.

The thermodynamically and kinetically sluggish electrocatalytic C-N coupling from CO2 and NO3- is inert to initially take place while typically occurring after CO2 protonation, which severely dwindles urea efficiency and carbon atom economy. Herein, we report a single O-philic adsorption strategy to facilitate initial C-N coupling of *OCO and subsequent protonation over dual-metal hetero-single-atoms in N2-Fe-(N-B)2-Cu-N2 coordination mode (FeN4/B2CuN2@NC), which greatly inhibits the formation of C-containing byproducts and facilitates urea electrosynthesis in an unprecedented C-selectivity of 97.1% with urea yield of 2072.5 μg h-1 mgcat.-1 and 71.9% faradaic efficiency, outperforming state-of-the-art electrodes. The carbon-directed antibonding interaction with Cu-B is elaborated to benefit single O-philic adsorption of CO2 rather than conventional C-end or bridging O,O-end adsorption modes, which can accelerate the kinetics of initiated C-N coupling and protonation. Theoretical results indicate that the O- monodentate adsorption pathway benefits the thermodynamics of the C-N coupling of *OCO with *NO2 and the protonation rate-determining step, which markedly inhibits CO2 direct protonation. This oriented strategy of manipulating reactant adsorption patterns to initiate a specific step is universal to moderate oxophilic transition metals and offers a kinetic-enhanced path for multiple conversion processes.

CO adsorption mechanisms on transition metal surfaces and factors influencing the adsorption

CO adsorption on transition metal (TM) surfaces has been extensively studied. Compared to the "vertical adsorption" (CO⊥M) in which the C–O bond is normal to the surface with the C bonded to the surface, few studies are devoted to the "parallel mode" (CO||M) where the C–O bond is (near) parallel to the surface with both C and O atoms interacting with the surface. Here we report density functional calculations of CO adsorption on the stable surfaces of 27 TMs. The results show that CO adsorbs only in CO⊥M mode on IB, IIB, VIIB and VIII TMs while both CO⊥M and CO||M modes exist on IIIB to VIB TMs, with CO||M being more stable. Overlap population analysis reveals that the interactions between metal d AOs and O 2p AOs dominate the CO||M mode where the CO π bond is greatly weakened, resulting in significantly activated CO. The adsorption mode and adsorption energy can be tuned by ensemble effect, lattice strain and crystal structure, while the ligand effect is weak and is not able to change the adsorption mode of CO. The present work demonstrates that ensemble effect, lattice strain and crystal structure can be utilized to modify surface chemistry and promote catalytic performance effectively.

Diaminopropane-Functionalized Metal-Organic Frameworks with Controllable Diamine Loss and One-Channel Flipped CO2 Adsorption Mode.

Diamine-functionalized metal-organic frameworks (MOFs) based on Mg2(dobpdc) (dobpdc4- = 4,4'-dioxidobihyenyl-3,3'-dicarboxylate) have been frequently reported as promising CO2 adsorbents due to their characteristic step-shaped adsorption behavior. However, high CO2 desorption temperatures for diamine-Mg2(dobpdc)-based adsorbents led to gradual diamine loss while the existence of an exotic CO2 adsorption mode remains experimentally unanswered. Herein, we present CO2 adsorbents obtained by functionalizing Mn2(dobpdc) with a diaminopropane series. These adsorbents offer low regeneration energies, allowing CO2 desorption at lower temperatures than the reported Mg-based analogs. Our first-principles density functional theory calculations showed that the binding strength between the diamine and Mn ions in Mn2(dobpdc) was stronger than that between the diamine and Mg ions in Mg2(dobpdc), preventing diamine loss even at high temperatures and enabling efficient regeneration. Additionally, the computational and experimental data demonstrated that primary-tertiary diamine-functionalized MOFs exhibit one-channel flipped adsorption structures that have not been experimentally revealed. Our findings provide insights into the role of metal ions in diamine loss for the future development of efficient amine-based CO2 adsorbents.

Effect of Pre-Sulfidization on the Octadecyl Amine Adsorption on the Smithsonite Surface and Its Flotation.

The low-grade zinc oxide ore was sulfidized to increase the efficiency of flotation, but the effect of pre-sulfidization on the adsorption mechanism of octadecyl amine (ODA) on the smithsonite surface is currently unclear. In this study, the effect of pre-sulfidization on the adsorption mechanism of ODA and the flotation behavior was studied using smithsonite and pre-sulfidized smithsonite as the samples by zeta potential, contact angle measurement, total organic carbon analyzer (TOC), quartz microcrystalline balance (QCM), Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), and micro-flotation tests. Micro-flotation tests showed that the pretreatment of sulfidization could improve the floatability of smithsonite. Zeta potential and contact angle measurements demonstrated that pre-sulfidization could favor the adsorption of ODA, which is further confirmed by the adsorption tests of ODA using TOC and QCM. Furthermore, FTIR and XPS analysis showed that pre-sulfidization changes the adsorption mode of ODA, changing it from physical adsorption to chemical adsorption. These results suggested that the favorable effect of pre-sulfidization on the adsorption of ODA and the flotation of smithsonite might provide important guidance for industrial application.

Topology Control of Covalent Organic Frameworks with Interlaced Unsaturated 2D and Saturated 3D Units for Boosting Electrocatalytic Hydrogen Peroxide Production.

Modulating the electronic state of multicomponent covalent organic framework (COF) electrocatalysts is crucial for enhancing catalytic activity. However, the effect of dimensionality on their physicochemical functionalities is still lacking. Herein, we report an interlaced unsaturated 2D and saturated 3D strategy to develop multicomponent-regulated COFs with tunable gradient dimensionality for high selectivity and activity electrocatalysis. Compared with the two-component 2D and 3D model COFs, the 2D/3D framework interlaced COFs with locally irregular dimensions and electronic structures are more practical in optimizing the intrinsic electrode surface reaction and mass transfer. Remarkably, the unsaturated 2D-inserted 3D TAE-COF regulates the adsorption mode of OOH* species to supply a favorable dynamic pathway for the H2O2 process, thereby achieving an excellent production rate of 8.50 mol gcat -1 h-1. Moreover, utilizing theoretical calculation and in situ ATR-FTIR experiment, we found that the central carbon atom of the tetraphenyl-based unit (site-1 and site-6) are potential active sites. This strategy of operating the adsorption ability of reactants with dimensionality-interconnected building blocks provides an idea for designing durable and efficient electrocatalysts.

Topology Control of Covalent Organic Frameworks with Interlaced Unsaturated 2D and Saturated 3D Units for Boosting Electrocatalytic Hydrogen Peroxide Production

AbstractModulating the electronic state of multicomponent covalent organic framework (COF) electrocatalysts is crucial for enhancing catalytic activity. However, the effect of dimensionality on their physicochemical functionalities is still lacking. Herein, we report an interlaced unsaturated 2D and saturated 3D strategy to develop multicomponent‐regulated COFs with tunable gradient dimensionality for high selectivity and activity electrocatalysis. Compared with the two‐component 2D and 3D model COFs, the 2D/3D framework interlaced COFs with locally irregular dimensions and electronic structures are more practical in optimizing the intrinsic electrode surface reaction and mass transfer. Remarkably, the unsaturated 2D‐inserted 3D TAE‐COF regulates the adsorption mode of OOH* species to supply a favorable dynamic pathway for the H2O2 process, thereby achieving an excellent production rate of 8.50 mol gcat−1 h−1. Moreover, utilizing theoretical calculation and in situ ATR‐FTIR experiment, we found that the central carbon atom of the tetraphenyl‐based unit (site‐1 and site‐6) are potential active sites. This strategy of operating the adsorption ability of reactants with dimensionality‐interconnected building blocks provides an idea for designing durable and efficient electrocatalysts.

Mechanistic Insights on Direct Ammonia Solid Fuel Cell Using Ni-YSZ Anode: Experimental and Density Functional Theory Studies

While Ni-Yttria-stabilized zirconia (Ni-YSZ) cermet exhibits a great potential to realize high-efficiency ammonia to power using direct ammonia solid oxide fuel cell (DA-SOFC), the mechanisms of NH3 cracking and H2 oxidation reactions as well as direct electro-oxidation of ammonia are still unclear. In this context, with the motivation, the DA-SOFC performance of fuel electrode (Ni-YSZ) using conventional anode-supported cell (Ni-YSZ|YSZ|GDC-LSCF) is studied through microscale observation coupled with density functional theory (DFT) calculations to unravel the reaction mechanisms on Ni-YSZ(111) anode. The performance of DA-SOFC is examined using NH3, H2 and N2/H2 mixture as fuel at the temperature range of 700-800℃. In addition to XRD and SEM-EDX characterizations, the electrochemical characterization is performed using the impedance spectroscopy (EIS) measurements at three different temperatures of 700, 750 and 800 °C. Interestingly, the experimentally observed trend in Open-circuit voltage (OCV) implies that direct electro-oxidation of ammonia is the dominant reaction mechanism. Notably, polarization resistance is primarily contributed by ammonia anodic reaction and secondarily by the gas diffusion impedance. DFT results revealed that ammonia adsorbs favorably on the Ni cluster, and hydrogen follows a dissociative mode of adsorption on the Ni cluster. The activation barriers of elementary steps involved in the proposed mechanisms for fuel cracking and oxidation reactions are computed. This work is anticipated to provide valuable insights into the rational design of Ni-YSZ-based fuel electrodes. Keywords: ammonia, hydrogen, SOFC, fuel cells, DFT, reaction mechanism

Computational Modeling and Machine Learning Approaches for Accelerated Materials Design

A substantial part of research in energy storage and conversion systems concerns the discovery and characterization of novel materials with improved performance, but most advancements are still generally attributed to costly and time-consuming trial-and-error experimentation. Computational chemistry methods combined with machine learning techniques offer paradigm shift in how materials are fundamentally understood and designed. Namely, high-throughput calculations combined with machine learning can help evaluate different properties of complex materials and efficiently screen millions of candidates to identify the ones with improved targeted properties, such as higher activity and selectivity and/or enhanced durability.In this talk we will first illustrate the use of density functional theory (DFT) in the design of fuel cell and electrolyzer ionomers. More specifically, we will discuss how simple descriptors such as DFT-calculated adsorption energies and adsorption modes of polymer fragments can be used to guide the rational design of ionomers for anion exchange membrane fuel cells and alkaline membrane water electrolyzers. Our design principle has led to the synthesis of new polymers, e.g., poly(fluorene) and polynorbornene-based ionomers, with weak adsorption on the electrocatalyst surface and improved hydrogen oxidation reaction activity. We will further introduce the computational workflow that integrates high-throughput DFT calculations with machine learning with a goal of designing new amine-based CO2 adsorbents, as well as platinum group metal-free electrocatalysts for conversion of CO2 to value added products. In our workflow we use descriptors together with DFT-calculated binding energetics to train artificial neural networks for activity prediction. Our trained machine learning models are then used to screen millions of candidate chemistries and identify the ones with optimal activity. Descriptor importance evaluation provides additional design principles based on the structure to property relationships for the synthesis of targeted materials for CO2 capture and electro-conversion.

Co-adsorbate-mediated nitrogen electroreduction on two-dimensional W@BC4N single-atom catalyst: Insight from first-principles

Co-adsorbed intermediates ubiquitous on catalyst surface play an important role in mediating the reaction pathway. Herein, we systematically explore the co-adsorbate (*N2 and *H)-mediated nitrogen electroreduction reaction (NRR) on graphene-like W@BC4N single-atom catalyst (SAC) using density-functional theory (DFT) calculation and ab-initio molecular dynamics (AIMD) simulation. The results reveal that the multiple NRR pathways dependent on adsorption mode of *N2 can cross over with one another. The proton-coupled electron transfer (PCET) in NRR is likely to couple with the intermolecular hydrogen-transfer. With three *N2 and two *H as spectators, NRR can proceed via a mixed consecutive-enzymatic mechanism, where the 6th PCET, *NH2 + (H+ + e-) → *NH3, is the potential-limiting step with UL = -0.72 V, larger than those (UL = -0.47 V, UL = -0.52 V and UL = -0.67 V) absence of the co-adsorbed *N2. Nonetheless, the co-adsorbed *N2 can facilitate the desorption of *NH3, beneficial to catalytic cycling. Given the steric hindrance of the co-adsorbed NHx intermediates, hydrazine (N2H4) is most likely to be produced during NRR. With W single-atom site working synergistically with the adjacent B site, W@BC4N has demonstrated the high promise for driving NRR.

Numerical investigation on the operation strategy of a chemisorption heat pump system

ABSTRACT This paper presents an analysis of the operating characteristics of a chemisorption heat pump. 1-D transient model of a chemisorption heat pump was developed, for which an analysis of four alternating modes of operation was performed. The performance was analyzed with respect to the operating time of the adsorption and desorption operation modes during alternating operations, and the results showed that the cooling capacity has an optimum point depending on the operating times. It was also confirmed that the coefficient of performance increases as the operating time increases. The system performance was also analyzed according to the flow rates of the secondary fluids supplied to the main components. As the flow rates of the secondary fluids supplied to the main components increased, the cooling capacity improved, and the coefficient of performance was found to be compounded by the secondary flow conditions and the operating times of the adsorption and desorption operation modes. Based on the results, it was found that the cooling capacity, coefficient of performance, and specific cooling power of the chemisorption heat pump can be operated in a large range from 876.7 to 3070.0 W, 0.13 to 0.32, and 39.3 to 137.7 W/kg, respectively, depending on the operating conditions.

Rational utilization of the size and electronic effect of inhibitors enabling high polishing rate with minimum corrosion in copper chemical mechanical polishing

Chemical mechanical polishing (CMP) relies on corrosion to remove excess materials, while also on corrosion inhibitors to ensure post-polished surface quality. The robust adsorption of inhibitors onto metal surfaces typically improves inhibition effectiveness but significantly reduces the polishing rate. In this study, we propose and validate a novel strategy that focuses on the utilization of large-sized physisorption-type inhibitors to address this inherent conflict. By incorporating disproportionated rosin (DR) as the inhibitor, the developed slurry facilely obtained a balance between polishing efficiency and quality for copper CMP. The inhibition mechanism of DR was elucidated through electrochemical characterization, adsorption isotherms, and reactive forcefield molecular dynamics (ReaxFF MD) simulations. The weak physisorption of the inhibitors facilitated their easy removal, resulting in minimal impact on the polishing rate. Additionally, the large-size structure of DR effectively hindered corrosive substances from reaching concave areas not under external force, thereby demonstrating superior inhibition efficacy. The adsorption mode of DR on copper was simultaneously determined through adsorption isotherms and ReaxFF MD simulations, marking the first instance of linking classic adsorption theory with MD simulations. The advantage of the ReaxFF MD simulations over classic MD simulations and density-functional-theory calculations for the metal-inhibitor adsorption systems was also discussed and demonstrated.

New aryl-himachalene benzylamines derivatives as eco-friendly corrosion inhibitors at low concentration for brass 62/38 in 200 ppm NaCl: Experimental, analyses and theoretical approach

This study investigates the inhibitory effect of eco-friendly synthesized aryl-himachalene benzylamines derivatives, namely (±)-N-((3,5,5,9-tetramethyl -6,7,8,9-tetrahydro-5H-benzo [7] annulen-2yl)methyl)aniline (AHB) and (±)-4-bromo-N-((3,5,5,9-tetramethyl-6,7,8,9-tetrahydro-5H-benzo[7]annulen-2-yl)methyl)aniline (AHBBR) at low concentration on the brass 62/38 (B62/38) corrosion in 200 ppm NaCl solution, employing electrochemical techniques, surface analyses and theoretical investigations. The experimental measurements indicated that these compounds exhibit as good inhibitions, where their inhibition efficiency growth with their concentrations, reaching 88.69 % and 93.35 % at 100 ppm AHB and AHBBR, respectively. I-E measurements designated that the tested products react like a mixed-inhibitor type. In addition, the EIS measurements showed the establishment of a protective layer on the B62/38 region. The effects of the temperature solution and immersion time on their performance were investigated. It is found that they decrease slowly with temperature, while they improve with the immersion time until 12 h. In the same way, it is found that these molecules react on B62/38 surface according to Langmuir isotherm adsorption. Complementary, SEM/EDX analysis established the development of an organic defending film on the B62/38 area, confirming the compound's potential as effective corrosion inhibitors. Finally, the theoretical investigations confirm the anti-corrosion character of the tested compounds according to their mode of adsorption.

The effect of molecular structure of imidazole-based compounds on corrosion inhibition of Cu, Zn, and Cu-Zn alloys

Three imidazole-based compounds (imidazole, 2-mercaptobenzimidazole, and 2-mercapto-1-methylbenzimidazole) were studied as corrosion inhibitors of Cu, Zn, and a family of Cu-xZn brass alloys (x = 10−40 wt%) in 3 wt% NaCl solution. The composition of inhibitor layers on the surface was studied using X-ray photoelectron and infrared spectroscopies. The molecular adsorption modes on Cu and Zn were modelled using density-functional theory (DFT) calculations. Mercapto-based inhibitors act as efficient inhibitors on all materials studied due to the formation of inhibitor layer through bonding with nitrogen and sulphur atoms. In contrast, imidazole is a moderate inhibitor for Zn, while it is much less efficient for Cu.

BMP-Binding Polysulfonate Brushes to Control Growth Factor Presentation and Regulate Matrix Remodelling.

Bone morphogenetic proteins (BMPs) are important targets to incorporate in biomaterial scaffolds to orchestrate tissue repair. Glycosaminoglycans (GAGs) such as heparin allow the capture of BMPs and their retention at the surface of biomaterials at safe concentrations. Although heparin has strong affinities for BMP2 and BMP4, two important types of growth factors regulating bone and tissue repair, it remains difficult to embed stably at the surface of a broad range of biomaterials and degrades rapidly in vitro and in vivo. In this report, biomimetic poly(sulfopropyl methacrylate) (PSPMA) brushes are proposed as sulfated GAG mimetic interfaces for the stable capture of BMPs. The growth of PSPMA brushes via a surface-initiated activator regenerated by electron transfer polymerization is investigated via ellipsometry, prior to characterization of swelling and surface chemistry via X-ray photoelectron spectroscopy and Fourier transform infrared. The capacity of PSPMA brushes to bind BMP2 and BMP4 is then characterized via surface plasmon resonance. BMP2 is found to anchor particularly stably and at high density at the surface of PSPMA brushes, and a strong impact of the brush architecture on binding capacity is observed. These results are further confirmed using a quartz crystal microbalance with dissipation monitoring, providing some insights into the mode of adsorption of BMPs at the surface of PSPMA brushes. Primary adsorption of BMP2, with relatively little infiltration, is observed on thick dense brushes, implying that this growth factor should be accessible for further binding of corresponding cell membrane receptors. Finally, to demonstrate the impact of PSPMA brushes for BMP2 capture, dermal fibroblasts were then cultured at the surface of functionalized PSPMA brushes. The presence of BMP2 and the architecture of the brush are found to have a significant impact on matrix deposition at the corresponding interfaces. Therefore, PSPMA brushes emerge as attractive coatings for scaffold engineering and stable capture of BMP2 for regenerative medicine applications.