Javier
Saiz-Poseu
ab,
Isaac
Alcón
c,
Ramon
Alibés
c,
Félix
Busqué
c,
Jordi
Faraudo
*d and
Daniel
Ruiz-Molina
*a
aCentro de Investigación en Nanociencia y Nanotecnología (CIN2, ICN-CSIC), Esfera UAB, Edificio CM7, Campus UAB, 08193, Cerdanyola del Vallés, Spain. E-mail: druiz@cin2.es; Fax: +34935813717
bFundación Privada ASCAMM, Unidad de Nanotecnología (NANOMM), Parc Tecnològic del Vallès, Av. Universitat Autònoma, 2308290, Cerdanyola del Vallès (Barcelona)Spain
cDepartment de Química, Universitat Autònoma de Barcelona, Edifici Cn, Campus UAB, 08193, Cerdanyola del Vallés (Barcelona)Spain
dInstitut de Ciència de Materials de Barcelona, ICMAB-CSIC, Campus de la UAB, E-08193, Bellaterra, Spain
First published on 26th October 2011
Two alkylcatechols have been studied by means of STM at the liquid–solid interface. While for catechol 3 no molecular domains on the surface have been observed most likely due to the steric constraints imposed by the tert-butyl group, catechol 2 self-organizes both in nonanoic acid and TCB solvents. Combined molecular dynamics simulations have shown the large tendency of this catechol to remain and organize on surfaces. Moreover, by comparison with the results previously described for catechol 1, valuable information about the energetic and thermodynamics for the adsorption process of catechols can be extracted.
This ability of catechol derivatives to interact with surfaces has been exploited by many scientists worldwide to prepare new synthetic functional adhesives5 and coatings.6 However, understanding the basic behaviour and assembly of catechols on surfaces still remains a challenge. For this reason, new basic studies that gain information about the self-assembly and interaction of catechols with surfaces are highly required. Scanning tunneling microscopy (STM) is an excellent technique for such studies.7STM can allow the direct observation of the molecular self-assembly processes on surfaces with molecular resolution, and therefore, the study and modelization of molecule–molecule and molecule–surface interactions.7b–g A wide range of compounds have been studied with STM at the liquid–solid interface, including simple linear alkanes,8 long chain alcohols,9 aromatic carboxylic acids,10amides,11 aromatic cores functionalized with alkyl chains,12crown13 and thiacrown ethers14 and even more complex structures like fullerenes15 and macrocyclic coordination compounds.16 Nevertheless, no examples of catechols at the liquid–solid interface can be found in the literature, and only scarce examples of these compounds on surfaces have been studied by STM under UHV conditions.17
For this reason we have started new research focused to study the self-assembly of catechols at the liquid–solid interface by STM. Following this approach, very recently we described for the first time the self-assembly of the 4-heptadecylcatechol 1 (Fig. 1) at the nonanoic acid–HOPG interface.18 Compound 1 was shown to exhibit a large tendency to adsorb on the surface as a result of both energetic (interactions on the surface) and entropic factors (temperature and solvent). Energetic factors arise from the presence of attractive van der Waals (vdW) interactions with the HOPG surface and alkyl chains of other adsorbed molecules as well as from the formation of hydrogen bonds between different catechol moieties. Entropic factors arise from the relatively poor solvation of compound 1 in solvents such as nonanoic acid. This combination of complex factors, resulted in a rich self-assembly behaviour of 1 at the HOPG surface (with and without coadsorption of the solvent) that depends on thermodynamic and kinetic aspects. Moreover, the nontrivial implications of structural factors on the interaction with surfaces are also relevant.
![]() | ||
| Fig. 1 Structure of alkylcatechols 1–3. | ||
These interesting results led us to continue within this research line by studying how modifications on their chemical structure can affect the self-assembly on surfaces. With this aim, in this work we report the synthesis of two new alkylcatechols 2 and 3 (Fig. 1) and the study of their self-assembly on HOPG by STM in two different solvents. The addition of a second alkyl chain in 2 is used to evaluate the contribution of the catechol unit to the energetic interplay of thermodynamic and kinetic aspects that control the self-assembly. Compound 3 has also been synthesized for comparison purposes, bearing a bulky tert-butyl group that is expected to disrupt the assembly processes. The experimental results have been rationalized according to theoretical calculations.
![]() | ||
| Scheme 1 (a) Me2SO4, K2CO3, (n-Bu)4NI, DMF, 67%; (b) 1-(hexadecyl)triphenylphosphonium bromide, tBuOK, THF, 70%; (c) H2, Pd/C, ethyl acetate, 80%; (d) BBr3, CH2Cl2, 96%. | ||
The synthesis of catechol 3 began from the commercially available phenol 8 which was converted to 9 in a moderate 55% yield by reaction with tBuOH in H3PO4 (Scheme 2). Oxidation of 9 and demethylation of the resulting aldehyde 10 (ref. 21) afforded the catechol 11 which was protected as the MOM derivative 12 (ref. 22) by standard conditions in 37% yield for the three steps. Then, the Wittig reaction of aldehyde 12 with hexadecylidene(triphenyl)phosphorane gave the olefin 13 as a 10
:
1 mixture of the (Z)- and (E)-isomers in 58% combined yield.
![]() | ||
| Scheme 2 (a) tBuOH, H3PO4, 55%; (b) Br2, tBuOH, 62%; (c) AlCl3, pyridine, CHCl3, 85%; (d) methoxymethyl bromide, iPr2EtN, DMAP, CH2Cl2, 70%; (e) 1-(hexadecyl)triphenylphosphonium bromide, tBuOK, THF, 58%; (f) H2, Pd/C, ethyl acetate, 98%; (g) HCl (cat.), MeOH, 88%. | ||
Hydrogenation of olefins 13 using hydrogen and palladium on carbon catalyst, followed by acid treatment in refluxing methanol to cleave the MOM ethers provided the target compound 3 in 86% yield for the two steps.
First, Molecular Dynamics (MD) simulations of a liquid solution composed of 48 molecules of 2 and 400 nonanoic acid molecules at two different temperatures (20 °C and 80 °C) and 1 atm were done. This molecular ratio corresponds to a concentration similar to that used for the STM experiments shown later on. Afterwards, the resulting equilibrated solution was placed in contact with a large graphite surface of 87.81 nm2 that was immediately covered by molecules. A second set of MD simulations were then run to allow further equilibration and adsorption/desorption events at the surface. An illustrative snapshot of the simulation is shown in Fig. 2. A first qualitative observation is the strong tendency to adsorb of compound 2, which covers most of the surface after 1 ns together with a small amount of a few nonanoic acid molecules. It is important to mention that this situation takes place in spite of the large excess of the nonanoic acid that has also been shown to organize under these circumstances. However no clear self-assembly patterns were observed on the surface, at least under simulation scales accessible with MD simulations (more details about this issue are given in the next section).
![]() | ||
| Fig. 2 Molecular Dynamics (MD) simulations of a liquid solution composed of 48 molecules of 2 and 400 nonanoic acid molecules at 20 °C. (a) Lateral view of the simulated system, solvent molecules are shown translucent for clarity. (b) Top view showing only the molecules adsorbed at the surface after putting the graphite surface in contact with the pre-equilibrated solution. The rest of the molecules of the system (which correspond to the large majority of the system) are not shown for the sake of clarity. Coadsorption of molecules of 2 with a few nonanoic acid molecules is also observed. The colour code follows standard crystallographical conventions: red for oxygen, cyan for carbon and white for hydrogen (the surface is shown in blue for clarity). | ||
Afterwards, biased MD-ABF simulations were performed on the resulting combined (solution + surface) system to obtain the thermodynamic free energy associated with the transfer of 2 from liquid to the graphite surface as a function of the distance. In these MD-ABF simulations, an adsorbed molecule was selected and pulled out from the surface in a very slow, quasi-static process. We recall that during this pulling process, the selected molecule interacts not only with the surface but also with the other solute molecules and the solvent which are also moving according to Newton motion equations during the simulation. Also, the simulation technique maintains thermal equilibrium during the process by employing a thermostat, as described in the Methods section. The work performed in this process gives the free energy associated with the transfer of compound 2 from the bulk solution to the surface under given thermodynamic conditions (composition, temperature, pressure). The results for the free energy profile at 20 °C and 80 °C are shown in Fig. 3. The insets show representative snapshots of the process, in which the desorption event is highlighted.
![]() | ||
| Fig. 3 Free energy (ΔG) profile for the transfer of a molecule of 2 from the graphite surface to the bulk solution as a function of the distance of the centre of mass of the molecule (z) to the surface. The MD-ABF calculations were performed at 20 °C and 80 °C. The snapshots are images of a solute molecule in a desorption event. All other molecules of the large simulated system are not shown for clarity. | ||
As can be seen in Fig. 3, the adsorption minimum corresponds to an adsorption free energy of ΔG = −133.5 kcal mol−1 at 20 °C. The first thing to recall is the resulting large value for ΔG, indicating a strong affinity of this compound for the liquid–solid interface, as expected in general for catechols. It is important to emphasize the fact that this value is comparable to the free energy gain previously obtained for the adsorption of compound 1 at the nonanoic acid–HOPG interface (ΔG = −122 kcal mol−1 at 20 °C). Therefore, the addition of a second alkyl chain induces a small increase of the affinity for the surface, smaller than 10%. While the second alkyl chain is expected to enhance the gain in the adsorption free energy by promoting favourable van der Waals interactions, the induction of stronger steric interactions can simultaneously disrupt the formation of hydrogen bonds between catechol units. This fact would indicate that the catechol moiety is responsible for a substantial part of the affinity of these compounds for the surface.
The second remarkable result is the substantial dependence of ΔG on temperature, which confirms that entropic factors also play an important role in the affinity of compound 2 for the surface (recall here the thermodynamic relationship between entropy and T dependence of the free energy at a constant pressure). The adsorption free energy decreases from ΔG = −133.5 kcal mol−1 at 20 °C to ΔG = −89 kcal mol−1 at 80 °C. Such remarkable temperature dependence therefore strongly precludes the use of total energy methods developed to study self-assembly processes under vapour deposition techniques. These simulations can be done only in situations in which temperature (and entropic) factors do not play a significant role, which is not the case.
![]() | ||
| Fig. 4 Self-assembly pattern of 2 at the nonanoic acid–HOPG interface. (a) Zoom of the self-assembly pattern obtained for 2. Unit cell parameters: a = 5.0 ± 0.2 nm, b = 3.4 ± 0.2 nm, γ = 95 ± 2°. Scanning conditions: 34 nm × 34 nm, Iset = 50 pA, Vbias = 540 mV. (b) STM image of the self-assembly pattern of 1. (c) Wide view for the self-assembly of 2 where the different orientations of the dimers can already be seen. Scanning conditions: 130 nm × 130 nm, Iset = 55 pA, Vbias = 540 mV. (d) Code of colours to distinguish the differently oriented dimers shown in (c). | ||
Moreover, two different orientations of these dimers can be observed, with a relative rotation between them of approximately 90°. This leads to the formation of two different domains, as can be seen in Fig. 4c. To facilitate the location and imaging of such orientations, the differently oriented dimers have been coloured in Fig. 4d. As can be observed there, none of them seems to be especially favoured from an energetic point of view, since both spread spontaneously all over the surface with an approximate half occupation. The zones between the bright spots are expected to be occupied by the alkyl chains, though unfortunately the resolution was not good enough to determine the exact number and position of them. Nevertheless, there is room enough in the unit cell (area ≈ 17 nm2) to accommodate all the alkyl chains and 4–6 nonanoic acid molecules.
To gain more insight into the disposition of the alkyl chains, additional experiments were done with trichlorobenzene instead of nonanoic acid. For this, a drop of a TCB solution of compound 2 (2 mg mL−1) was cast onto a freshly cleaved HOPG surface at room temperature using the experimental parameters described in Fig. 5. Immediately after, large-scale STM images under ambient conditions were obtained at least over three independent surface areas. In this case, the resulting molecular packing was obtained with high reproducibility between different casting experiments of freshly prepared samples and its stability assessed by taking different STM images over the same region at different time intervals. As can be seen in Fig. 5, a better molecular resolution is obtained though with a different molecular packing. In this case compound 2 arranges forming rows of bright spots that can be associated to the catechol moieties, from where the alkyl chains can be observed with better resolution lying at both sides of the catechol ring with an angle of 180° between them.
![]() | ||
| Fig. 5 Self-assembly pattern of 2 at the TCB–HOPG interface. (a) Wide view. Scanning conditions: 20 nm × 20 nm, Iset = 63 pA, Vbias = 500 mV. (b) Zoom view. Unit cell parameters: a = 3.4 ± 0.2 nm, b = 1.0 ± 0.2 nm, γ = 95 ± 4°. Scanning conditions: 10 nm × 10 nm, Iset = 64 pA, Vbias = 500 mV. (c) Profile marked as a green line in (b), coincident with the length of 2 molecule in its most extended conformation. | ||
The profile marked as a green line in Fig. 5b is coincident with the length of this molecule in its most extended conformation. The orientation of the catechol moieties can also be resolved from this image, confirming that all of them are pointing in the same direction without establishing hydrogen bonds between them. In fact, taking into account the profile marked in Fig. 5b and the unit cell area (∼3.3 nm2), where only one molecule of 2 per unit cell can be accommodated, it can be concluded that the self-assembly pattern corresponds to an arrangement of monomers of 2 into rows. The neighbouring rows interact between them through van der Waals forces by clearly interdigitating the alkyl chains, resulting in the formation of the mentioned very compact packing.
Finally, the self-assembly of 3 was studied at the liquid–HOPG interface at room temperature in both solvents, nonanoic acid and TCB. For this, a drop of a nonanoic acid solution of compound 3 (2 mg mL−1) was cast onto a freshly cleaved HOPG surface at room temperature. In this case, and even though several different experimental conditions were used including those described in Fig. 3 and 4, no images showing the crystal packing of 3 were obtained. This fact has been attributed to the presence of the bulky tert-butyl group that most likely disrupts the formation of good molecular assemblies on surfaces.
Theoretical calculations have confirmed the tendency of compound 2 to adsorb on the surfaces with a free energy of ΔG = −133.5 kcal mol−1 at 20 °C. Though this value is high if compared for instance with that obtained for nonanoic acid under the same conditions (ΔG = −45 kcal mol−1 at 20 °C), it is comparable to the free energy gain previously obtained for the adsorption of compound 1 also under the same experimental conditions (ΔG = −122 kcal mol−1 at 20 °C). This is a clear indication of the importance of catechol in front of the alkyl chains to promote their surface organization.
In fact, the gain in the free energy value obtained for 2 can now be used to rationalize some of the experimental results previously described. The argument is as follows. A surface covered only by nonanoic acid considering an effective area of 1.5 nm2 per molecule will correspond to a free energy gain of ΔG = 45/1.5 = −30 kcal mol−1 per nm2 of the covered surface. A surface covered only by molecules of 2 assuming a unit cell of 17 nm2 involving 4 molecules gives an almost identical free energy gain of ΔG = (4 × 133.5)/17 = −31.4 kcal mol−1 per nm2 of the covered surface. Finally, a coadsorption pattern with the same hypothetical unit cell but with co-adsorption of 4 nonanoic acid molecules in the remaining free space (6 nm2) gives a free energy gain of ΔG = −(4 × 133.5 + 4 × 45)/17 = −42 kcal mol−1 per nm2. These theoretical estimations suggest that the free energy differences between different possible self-assembly patterns are small, which could justify the difficulties observed in obtaining these self-assembly patterns both in the experiments and theoretical calculations. For instance, we tried to obtain clear self-assembly patterns by direct MD simulations, starting from different initial conditions with pre-adsorbed molecules on the surface and putting the system in contact with the liquid solution, without success. Self-assembly patterns cannot be simulated in this case employing popular energy minimization methods to give more insight, due to the importance of thermal and entropic factors in the affinity of compound 2 (neglected in these methodologies).
:
1) to give a mixture of different isomers 6 (318 mg, 63% yield), where the (Z,Z)-isomer is the major component. Spectroscopic data of major isomer: 1H NMR (250 MHz, CDCl3) δ 6.80 (s, 1H), 6.68 (s, 1H), 6.50 (d, 1H, J = 12.5 Hz), 6.31 (d, 1H, J = 12.5 Hz), 5.69 (dt, 1H, J = 12.5, 7.5 Hz), 5.59 (dt, 1H, J = 12.5, 7.5 Hz), 3.81 (s, 3H), 3.73 (s, 3H), 2.22 (m, 4H), 1.46–1.08 (m, 52H), 0.84 (t, 6H, J = 6.4 Hz). 13C NMR (62.5 MHz, CDCl3) δ 152.1, 145.5, 133.7, 133.0, 132.5, 131.4, 128.5, 123.9, 122.5, 111.6, 60.5, 55.6, 31.9, 30.1–29.4, 28.7, 22.7, 14.1. IR (ATR) ν 2916, 2849, 1571, 1466, 1326, 1142, 1081, 1008, 721.
:
1) to give 9 as a slightly yellow oil (3.85 g, 55% yield).The NMR data were consistent with the values reported in the literature.13
:
1), affording 10 (1.33 g, 62% yield). The NMR data were consistent with the values reported in the literature.21
:
1) to give 12 (1.44 g, 70% yield). The NMR data were consistent with the values reported in the literature.14
:
1) to give a mixture of (Z)- and (E)-13 (10
:
1) (1.05 g, 58% yield). The NMR spectroscopic data are referred to (Z)-13. 1H NMR (250 MHz, CDCl3) δ 7.04 (d, 1H, J = 2.0 Hz), 6.97 (d, 1H, J = 2.0 Hz), 6.35 (d, 1H, J = 11.6 Hz), 5.63 (dt, 1H, J = 11.6, 7.3 Hz), 5.24 (s, 2H), 5.19 (s, 2H), 3.68 (s, 3H), 3.53 (s, 3H), 2.35 (m, 2H), 1.46 (s, 9H), 1.43–1.21 (m, 26H), 0.91 (t, 3H, J = 6.8 Hz,). 13C NMR (62.5 MHz, CDCl3) δ 149.7, 144.5, 142.8, 132.7, 132.4, 128.6, 121.3, 115.1, 98.9, 95.5, 57.5, 56.2, 35.1, 31.9, 30.5, 30.1, 29.7–29.4, 28.9, 22.7, 14.1. IR (ATR) ν 2921, 2852, 1571, 1466, 1391, 1155, 1078, 1037, 1015, 961, 877. HRMS (ESI+) calcd for [C31H54O4 + Na]+: 513.3914, found 513.3920.
:
20, diameter 0.25 mm, Advent Research Materials, Ltd). The molecules were dissolved in each solvent with a concentration of approximately 2 mg mL−1. A hot drop of the solution was applied to a freshly cleaved graphite substrate (HOPG, grade ZYB, Momentive Performance Materials Quartz GMBH) and the tip was immersed in it. The STM images were then obtained at the liquid–solid interface. It was possible to scan the underlying graphite substrate after scanning the molecules self-assembled monolayer. This enabled us to correct for the drift effects using the Scanning Probe Image Processor (SPIP) software (Image Metrology ApS).
The model for the molecules was based on the CHARMM22/CMAP force field,25 designed for biomolecular simulations. The modular structure of this force field (constructed from quantum chemical calculations of the interactions between model compounds and water) allows one to easily construct the model parameters for a given organic compound from the basic building blocks of the force field. Within this force field, intramolecular interactions contained bonding, torsion and dihedral potentials and intermolecular interactions were described by electrostatic interactions (modelled with partial charges) plus a Lennard-Jones interaction potential. The values of all partial charges and other relevant details of the force field are the same as employed in our previous work.18 We should note that in this force field, hydrogen bonds appear in a natural way as a result of the interaction between partial charges. Previous work (see for example ref. 26) has shown the validity of this kind of force field for describing the role of hydrogen bonding in self-assembly at interfaces.
The procedure employed in the simulations is the following. First, we conducted a NPT simulation of a system containing 400 nonanoic acid molecules inside a cubic box with periodic boundary conditions in all directions. The barostat was adjusted at 1 atm and the thermostat at 20 °C or 80 °C. After a 2 ns simulation run, the solution was considered equilibrated, since all magnitudes of interest (size of simulation box, pressure, temperature) were clearly stabilized. Then, we added 48 compound 2 molecules and the resulting solution was placed in contact with a large graphite slab. The graphite solid has an area of 87.81 nm2 and was made by placing 6724 carbon atoms. In order to speed up our highly time-consuming MD simulations, all atoms of the graphite substrate were maintained fixed in their equilibrium positions, an approximation which is innocuous since we do not expect any reconstruction or chemical alteration of the graphite surface. Then, a second set of MD simulations at constant temperature (NVT conditions) were run to allow equilibration of the solution with the surface and adsorption/desorption events. Periodic boundary conditions were also employed in all directions, employing a simulation cell (in Å) with vectors (50.348,87.207,0), (50.348,−87.207,0) and (0,0,80). This cell follows the geometry of graphite in the x and y directions and allows for a large space above the solution in the z direction to avoid spurious image interactions. The configuration obtained after 10 ns of simulation at the two different temperatures was employed as the starting point for our MD-ABF production runs. Each ns of the NVT simulations has required around 0.2 days running in 32 Itanium Montvale processors.
In our production runs, we have computed the equilibrium free energy profiles (potentials of mean force) characterizing the thermodynamic process of transfer of compound 2 molecules from solution to the interface and vice versa (for an illustration, see snapshots in Fig. 5). These free energy profiles were computed using a new27 fast and efficient Adaptive Biasing Force (ABF) methodology, implemented in version 2.7 of NAMD2. The reaction coordinate for the ABF calculation was the z coordinate of the centre of mass of the molecule being transferred. We have performed two different simulation runs, corresponding to the determination of the free energy profile at 20 °C and 80 °C with 0.2 Å resolution for the reaction coordinate. The force constant employed in the calculations was the default value of 10 kcal mol−1 Å−2 and the simulations were typically run for 10 ns. All other parameters of the simulation were the same as employed in the previous NVT simulation. Each ns of the MD-ABF simulations has required around 1.57 days running in 32 Itanium Montvale processors.
| This journal is © The Royal Society of Chemistry 2012 |