Monte Carlo simulation of temperature-induced reversible morphological changes between sphere and vesicle formed by AB diblock copolymers

Juanjuan Fanab, Jie Cui*a, Yuanyuan Han*a and Wei Jianga
aState Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, P. R. China. E-mail: yyhan@ciac.ac.cn; jcui@ciac.ac.cn; Fax: +86-431-85262126; Tel: +86-431-85262642
bCollege of Information Technology, Jilin Agricultural University, Changchun, 130118, China

Received 5th May 2014 , Accepted 30th September 2014

First published on 30th September 2014


Abstract

Temperature-induced reversible morphological changes of micelles formed by AB diblock copolymers in a selective solvent for A blocks was studied through Monte Carlo simulation. When only hydrophobic B blocks are temperature-sensitive, the micelle morphology changes from sphere at high temperature to vesicle with a decrease in temperature. When the system was heated back to high temperature, the vesicles transform into spheres, indicating reversible morphological changes with temperature. However, the simulation results show that the pathways of morphological changes between sphere and vesicle depend on temperature change rate. The pathway of the sphere changing into vesicle under a quenching process is different from the pathway of the vesicle changing into sphere when the system was directly heated to the higher temperature. Moreover, the time consumed in the simulation for vesicle transformation into sphere upon heating is significantly shorter than that for the reverse process upon quenching. By contrast, when changing the temperature gradually, the pathways of morphological transitions from sphere to vesicle and from vesicle to sphere are almost identical. Moreover, the time consumed in the simulation for the annealing and gradual heating processes are nearly the same. This pathway differences observed when directly and gradually changing the temperature of the system are further elucidated by investigating the contact number variation between B blocks and solvents with simulation time. On the other hand, when the hydrophilic blocks and hydrophobic blocks are both temperature-sensitive, the introduction of the temperature-sensitivity of hydrophilic blocks hinders the morphological transition from sphere to vesicle under annealing conditions, and only larger spheres can be obtained after the annealing process when the degree of temperature-sensitivity of blocks A is rather high. Meanwhile, the simulation results show that the morphological transitions are still reversible under a slow temperature change rate when the hydrophilic blocks and hydrophobic blocks are both temperature-sensitive.


1. Introduction

In the past decades, amphiphilic block copolymers have been given significant attention because of their ability to self-assemble into micelles with various morphologies in selective solvents.1–3 Controlling micelle morphology is an important factor for extensive applications of polymer micelles in various areas, such as controlled release,4 drug delivery5 and nanocontainers.6 Intensive experimental7–14 and theoretical15–21 studies show that micelle morphology can be tuned by adjusting molecular parameters (such as block species and polymerization degree of different blocks) and solution parameters (such as solvent species and content of selective solvent). Among the parameters, temperature adjustment has been employed as an effective method to control the self-assembly behavior of block copolymers because temperature can be adjusted easily without changing any other experimental parameters. Qin et al.22 synthesized a well-defined diblock copolymer poly(ethylene oxide)-b-poly(N-isopropylacrylamide) with one temperature-sensitive block poly(N-isopropylacrylamide). The diblock copolymers become amphiphilic in water above body temperature and can self-assemble into vesicles, encapsulating both hydrophilic and hydrophobic molecules. In addition, a decrease in temperature can trigger the disassembly of vesicles, thereby releasing the encapsulants. This temperature-sensitive diblock copolymer shows significant potential for drug delivery applications.

Given that temperature-dependent micellization and demicellization are specifically important for temperature-driven drug delivery, numerous studies have been conducted to investigate the kinetics of temperature-induced micelle morphological changes.23–30 LaRue et al.25 reported temperature-induced reversible morphological changes of poly(styrene-b-isoprene) micelles. They observed a reversible change from vesicles to cylindrical micelles. The morphological change upon heating is found to be much faster than the reverse process upon cooling. Abbas et al.27 investigated the self-assembly behavior of poly(styrene-b-dimethylsiloxane) in dilute solution. Thermo-reversible changes from vesicles to cylinders and then to spheres are observed. The change from cylinder to vesicle shows a little hysteresis, whereas the transition from sphere to cylinder is completely reversible during the experiments. Bhargava et al.28 investigated thermo-reversible morphological changes of poly(styrene-b-ethylene oxide) micelles and obtained similar results. Their experimental results showed no hysteresis in the entire reversible morphological change processes during heating and cooling.

Although numerous studies on the kinetics of temperature-induced morphological changes have been conducted, some problems remain unsolved. For example, some experimental results show that the morphological change upon heating is significantly faster than the reverse process upon cooling,25 whereas other experimental results show that no hysteresis is observed in the morphological changes during heating and cooling.28 What factors affect the pathway of morphological change induced by temperature? The reversible morphological changes of micelles formed by amphiphilic AB diblock copolymers were studied through Monte Carlo simulation to address the foregoing question.

2. Model and simulation

The dynamic Lattice Monte Carlo simulation method is used in this study. The self-assembly of coarse-grained chains, that is, A2-b-B5 (numbers 2 and 5 refer to the repeat units for corresponding molecules), in a selective solvent for blocks A is considered. The diblock copolymer concentration is 8.75%. The system is embedded in a simple cubic lattice box of volume V = L × L × L with L = 40(larger box with L = 50 has also been employed, and the simulation result is shown in Fig. S1 in the ESI. The simulation result shown in Fig. S1 indicates that the simulation results obtain in the box with L = 40 are not influenced by the finite size effect). Periodic boundary conditions are imposed in all of the three directions. Each monomer occupies one lattice site, and the monomers are self- and mutually avoiding, which ensures that no more than one monomer exists per lattice site. The single-site bond fluctuation model proposed by Carmesin and Kremer31 and by Larson32,33 is used in this study. The permitted bond length is 1 and image file: c4ra04112g-t1.tif; thus, each lattice site has 18 nearest neighbor sites in a three-dimensional space. The chain configuration evolution is achieved through monomer motions. Each step of the motion is generated through a microrelaxation model, which is highly efficient in relaxing local chain conformation on the lattice34 and is suitable for dynamic process studies.35,36 The microrelaxation mode is defined as follows: a monomer is randomly chosen to exchange with one of its 18 nearest neighbors. If the neighbor is a solvent molecule, then the exchange move is attempted. If the exchange does not violate the bond length restriction and retains no bond crossing, then the exchange is allowed. This process constitutes a single movement. If the exchange would break two chain connections, then it is not allowed. If the exchange creates a single break in the chain, then the solvent molecule continues to exchange with subsequent monomers along the chain until the reconnection of a bond. The acceptance or rejection of the attempted move is further governed by the Metropolis importance sampling rule,37 that is, if the energy change ΔE is negative, then the exchange is accepted; otherwise, the exchange is accepted with a probability of p = exp[−ΔE/(kBT)], where image file: c4ra04112g-t11.tif is the energy change caused by the attempted move; ΔNij is the number difference of the nearest neighbor pairs between components i and j before and after the movement, where i, j = A, B, and solvent, respectively; εij is the interaction energy between components i and j; kB is the Boltzmann constant; and T is the temperature. The reduced interaction energy ε*ij can be written as ε*ij = εij/kBT. The parameter ε*AS is set as negative, whereas ε*BS is set as positive, corresponding to the amphiphilic nature of the block copolymer. The parameter ε*AB is set as positive because of the incompatibility between A and B blocks. The simulation time is measured in units of Monte Carlo step (MCS). One MCS indicates that on the average, every monomer has attempted one exchange.

In the literature, many experiments show that a change in temperature leads to a change in the solubility of block copolymers.23,25–28 Typically, the hydrophobicity of hydrophobic blocks changes greatly when the solution temperature is changed, whereas the hydrophilicity of hydrophilic blocks remains almost unchanged28 or changes slightly compared to the change in the hydrophobicity of hydrophobic blocks.25 In order to realize the temperature-dependence of the solubility of different blocks, two parameters T* and Δi are introduced. T* is defined as the reduced temperature, which reflects the changes in solubility induced by temperature, and it increases with decreasing temperature. Δi (i = A or B) is a constant which reflects the degree of temperature-sensitivity of the solubility of each block. Thereafter, the hydrophilicity of blocks A becomes image file: c4ra04112g-t2.tif, and the hydrophobicity of block B turns into image file: c4ra04112g-t3.tif. image file: c4ra04112g-t4.tif and image file: c4ra04112g-t5.tif are the hydrophilicity of blocks A and hydrophobicity of blocks B at the initial temperature (T* = 0), and image file: c4ra04112g-t6.tif, image file: c4ra04112g-t7.tif. In addition, the incompatibility between A and B blocks is set as image file: c4ra04112g-t8.tif, image file: c4ra04112g-t9.tif and ΔAB = 1, indicating that ε*AB is less sensitive to temperature compared to ε*BS. On the other hand, although ε*AS is considered to be insensitive to temperature,25,28 the effect of the temperature-dependence of block A (ΔA > 0) on the morphological changes is also investigated for the purpose of comparison.

3. Results and discussion

3.1 Effect of the temperature change rate on the morphological changes of diblock copolymers

In this section, we mainly focus on the effect of temperature change rate on the reversible morphological changes between sphere and vesicle formed by the diblock copolymers with only blocks B being temperature-sensitive (i.e., ΔA = 0, ΔB = 8). First, the micelles formed by AB diblock copolymers at different temperatures are obtained by quenching the system from athermal state (i.e., homogenous initial state) to different given temperatures (i.e., T* = 0 − 0.02). Fig. 1 shows the micelle morphologies obtained at different temperature values. The full sequence of sphere (Fig. 1a), cylinder (Fig. 1b), ring (Fig. 1c), lamella (Fig. 1d), and vesicle (Fig. 1e) can be obtained by decreasing the given quenching temperature. This phase sequence is similar to the phase sequence in experimental27 and simulation15 reports. According to the phase sequence (Fig. 1), two temperatures (i.e., T* = 0 and T* = 0.02) at which the copolymers can respectively self-assemble into sphere and vesicle are chosen as the initial (final) temperatures. Two temperature change rates are employed in the current paper. When quenching (or directly heating) is performed by changing T* from 0 directly to 0.02 (or from 0.02 to 0), the temperature change rate is considered to be rapid. By contrast, when annealing (or gradually heating) is performed by changing T* from 0 to 0.02 (from 0.02 to 0) via a step of 0.005 per 5 × 106 MCS, the temperature change rate is considered to be slow.
image file: c4ra04112g-f1.tif
Fig. 1 Micelle morphologies of AB diblock copolymers in dilute solution at different quenching temperatures. (a) T* = 0, (b) T* = 0.004, (c) T* = 0.008, (d) T* = 0.015, (d) T* = 0.02. Only B domains are shown in this and the following Figures.

Fig. 2a–e shows the pathway of morphological change from sphere to vesicle under quenching condition. Spheres first merge into small membranes (Fig. 2b), and then continue to fuse into a big oblate membrane (Fig. 2c). Finally, the oblate membrane closes up to form a vesicle [Fig. 2d–e]. This morphological change process [Fig. 2a–e] lasts for approximately 4.0 × 106 MCS. Subsequently, the vesicle obtained under quenching condition (Fig. 2e) is heated back to T* = 0 by increasing the temperature from 0.02 directly to 0 to investigate the disassembly of vesicles. Fig. 2f–j shows the morphological change pathway from vesicle to sphere upon directly heating condition. The vesicle first changes into a perforated vesicle (Fig. 2g), which then evolves into cage-like micelle (Fig. 2h). Later, the cage-like micelle breaks up and transforms into rod-like micelle (Fig. 2i). Finally, the rod-like micelle turns into sphere (Fig. 2j). Fig. 2 indicates that when the solution system is quenched to a lower temperature and then heated back to the original higher temperature, the micelle morphology changes from sphere to vesicle, and then from vesicle back to sphere. This simulation result indicates that the micelle morphology variation with temperature is reversible. However, the disassembly process from vesicle to sphere upon heating is significantly rapid. The disassembly process lasts for approximately 1.5 × 105 MCS, which is much shorter than the quenching process. These simulation results are similar to the experimental results reported by LaRue et al.25 In their experiment, a reversible transition from vesicles to cylindrical micelles is observed upon heating from 25 °C directly to 40 °C, and the change in morphology upon heating is significantly faster than the morphology change in reverse process upon quenching.


image file: c4ra04112g-f2.tif
Fig. 2 Snapshots at different stages showing the pathway of transformation between sphere and vesicle under rapid temperature change rate (a)–(e) quenching process; (f)–(j) directly heating process. (a) 2000 MCS, (b) 1.0 × 106 MCS, (c) 3.0 × 106 MCS, (d) 3.4 × 106 MCS, (e) 4.0 × 106 MCS, (f) 0 MCS, (g) 250 MCS, (h) 2000 MCS, (i) 1.0 × 104 MCS, (j) 1.5 × 105 MCS. For the purpose of clarity, the cross sections of the micelles are given in (e)–(g).

Fig. 2 shows that the morphological change pathway from sphere to vesicle [Fig. 2a–e] is different from the pathway from vesicle back to sphere [Fig. 2f–j], indicating that the kinetic pathway of the micelle morphological change is irreversible during quenching and heating. To understand the irreversibility of the kinetic pathways further (Fig. 2), the contact number for each B monomer is calculated. Three species are in contact with B monomer, namely, A monomer, B monomer, and solvent. The total contact number for each B monomer should be 18 (the number of the nearest neighbors). The average contact number for each B monomer with solvents is represented by NBS. NBS can reflect the interfacial area between B monomers and solvents. A change in NBS indicates that morphological change occurs in the solution. Fig. 3 shows the variations of NBS with simulation time (MCS) under directly heating and quenching conditions. Under directly heating conditions, NBS rapidly increases from a low value to a high value within approximately 5.0 × 104 MCS and then remains almost constant. However, under quenching conditions, NBS initially decreases rapidly. Thereafter, NBS undergoes several flat regions to reach the minimum value until the simulation time is up to 3.7 × 106 MCS. Meanwhile, Fig. 3 also indicates that the lowest NBS value corresponds to the state in which the vesicle is formed, whereas the highest NBS value corresponds to the state in which sphere is formed. Therefore, a sharp increase in NBS indicates that the vesicle disassembles into small spheres very rapidly when the system is heated directly from low to high temperature. By contrast, a gradual decrease in NBS indicates that the change process from sphere to vesicle is much more time consuming when the system is quenched directly from high to low temperature. Moreover, the flat regions of the NBS curve upon quenching indicate that the morphological change pathway from sphere to vesicle undergoes many metastable states (typical morphologies of the metastable states are shown in Fig. 3). The change in NBS is accomplished by the movement of polymer chains. The sharp increase in NBS reflects that the polymer chains have high mobility upon directly heating. By contrast, upon quenching, the polymer chains have low mobility. At the same time, the coalescence of small spheres to form big oblate membrane and the close up of the big membrane to form vesicle are time consuming, particularly at low temperature. These phenomena can result in almost direct disassembly of vesicles into small spheres under directly heating condition, whereas spheres have to undergo several metastable states to form vesicles upon quenching.


image file: c4ra04112g-f3.tif
Fig. 3 Variations of contact numbers (NBS) between blocks B and solvents with simulation time under quenching and directly heating conditions respectively. The snapshots in this Figure are the typical morphologies in each time period under quenching condition.

The effect of slow temperature change rate on micelle morphological changes is also investigated. Fig. 4 and 5 show the pathway of morphological changes between sphere and vesicle under slow rate of temperature change. The simulation results show totally different phenomenon from the one observed under rapid temperature change rate. Under annealing condition, spheres first merge into short rods (Fig. 4b), which further merge into a very long rod (Fig. 4d). Then, the two ends of the long rod connect to form a ring-shaped micelle (Fig. 4e). The ring-shaped micelle fuses into a big oblate membrane (Fig. 4h), which eventually closes up to form vesicle. Fig. 4 shows that the morphological change under annealing condition is significantly more complicated than the one observed under quenching condition. Fig. 5 shows the morphological change process under gradually heating condition. The system follows a vesicle (Fig. 5a) to membrane (Fig. 5c) to ring (Fig. 5f) to rod (Fig. 5h) to sphere (Fig. 5j) pathway, which is almost the reverse process upon annealing (Fig. 4). Moreover, the simulation time cost for the morphological changes upon gradually heating is almost the same as that upon annealing. Bhargava et al.28 reported similar experimental results. Their studies showed completely reversible morphological changes, that is, vesicle (room temperature) to long rod (50 °C) to short rod (60 °C) to sphere (70 °C), with step-by-step increase in temperature. Their results showed no hysteresis in the morphological changes during heating and annealing. Our simulation results are consistent with their experimental results, except that two other micelles, namely, membrane (Fig. 5c) and ring-shaped micelles (Fig. 5f), are observed when the system evolves from vesicle into rod in the simulation. In addition, aside from the classical morphologies (i.e., sphere, rod, and vesicle), perforated membranes [Fig. 4(f–g) and 5(d–e)] and tailed ring (Fig. 5g) are observed in our simulation upon slow temperature change rate.


image file: c4ra04112g-f4.tif
Fig. 4 Snapshots at different stages showing the pathway of transformation from sphere to vesicle under annealing condition. (a) 2.0 × 106 MCS, (b) 5.6 × 106 MCS, (c) 1.06 × 107 MCS, (d) 1.1 × 107 MCS, (e) 1.3 × 107 MCS, (f) 1.51 × 107 MCS, (g) 1.52 × 107 MCS, (h) 1.6 × 107 MCS, (i) 2.8 × 107 MCS, (j) 2.91 × 107 MCS. (j′) is the cross section of (j).

image file: c4ra04112g-f5.tif
Fig. 5 Snapshots at different stages showing the pathway of transformation from vesicle to sphere under gradually heating condition. (a) 2.0 × 106 MCS, (b) 1.02 × 107 MCS, (c) 1.04 × 107 MCS, (d) 1.16 × 107 MCS, (e) 1.17 × 107 MCS, (f) 1.3 × 107 MCS, (g) 1.9 × 107 MCS, (h) 2.0 × 107 MCS, (i) 2.001 × 107 MCS, (j) 2.6 × 107 MCS. (a′) is the cross section of (a).

To elucidate the simulation results observed upon slow temperature change rate, NBS variations with simulation time (MCS) under gradually heating and annealing conditions are given in Fig. 6. NBS increases step by step with an increase in simulation time upon gradually heating condition. NBS requires five steps to reach its highest value. Moreover, the NBS value remains almost constant at each step, indicating that the morphologies at each step are stable. Similar NBS variations are observed under annealing condition (Fig. 6), that is, NBS decreases step by step with an increase in simulation time. Compared with Fig. 3, NBS variations with simulation time upon slow temperature change rate (Fig. 6) are totally different from those observed upon rapid temperature change rate. In the slow temperature change process, the temperature is changed step by step; thus, the system experiences five temperature stages during the heating or annealing process. The simulation is performed long enough for chain relaxation, which is beneficial for the system to reach its equilibrium state at each temperature stage. In Fig. 6, the equilibrium values of NBS and the typical micelle morphologies at the same temperature stage are almost the same no matter whether the system is in gradually heating or annealing process. Therefore, under slow temperature change rate, the micelle morphology obtained at a certain temperature in simulation is stable and independent of whether the system is annealed or heated. Bhargava et al.28 reported that the micelle morphologies observed in their experiments are in equilibrium states, which are confirmed by our simulation results. Furthermore, a slight difference in NBS curves is found between heating and annealing process, that is, the heating process takes five steps, whereas the annealing process involves six steps. This difference is due to the mobility of polymer chains, which worsen at low temperature during the later stage of the annealing process. Therefore, more time is needed for the membrane to change into vesicle. Besides the slight difference, the morphological changes between different micelle morphologies under gradually heating and annealing conditions are almost the same, indicating that no hysteresis is observed in the morphological changes during heating and annealing.


image file: c4ra04112g-f6.tif
Fig. 6 Variations of contact number (NBS) between block B and solvents with simulation time under gradually heating and annealing conditions respectively. The snapshots in this Figure are the typical morphologies in each time period under gradually heating and annealing conditions.

Therefore, when the temperature change rate is rapid, many metastable states are observed in the morphological changes, indicating that the system experiences a significantly non-equilibrium process. The metastable states are uncertain in a non-equilibrium process, which results in the irreversibility of the morphological change pathway under rapid temperature change rate. However, when the temperature change rate is slow, on the basis of the simulation results, the system experiences a relatively equilibrium process. The equilibrium states at different temperatures are unique, which explains why the morphological change process is completely reversible upon slow temperature change rate.

In order to test whether the aforementioned simulation results are reproducible, the simulations are repeated with two different initial states (the initial state used for the aforementioned simulations is named as initial state 1, and the two new initial states are named as initial state 2 and 3 respectively). The simulation results are given in Fig. S2–5 in the ESI. The simulation results show that almost all the morphologies and phase sequences shown in Fig. 2, 4 and 5 can be reproduced when changing the initial states, which proves that the morphological pathways under different temperature change rate are reproducible. Only the tailed ring shown in Fig. 5g in the gradually heating process can not be reproduced, which indicates that the tailed ring is a metastable state and is sensitive to the initial state.

Furthermore, five stable micelle morphologies in slow temperature change process (i.e., sphere, cylinder, ring, lamella, and vesicle in Fig. 4 and 5 and S4–S5) have been quantitatively investigated. Radius of the spheres, radius and aspect ratio of the cylinders and rings, thickness of the lamella, thickness and the inner radius of the vesicles are calculated, respectively. The statistical results are shown in Table 1. It can be seen that the micelles sizes, especially the sizes of spheres and vesicles, obtained with different initial states are quite similar. This indicates that the simulation results shown in Fig. 2,4 and 5 are quantitatively reproducible. In addition, it is found that the radius of the spheres, cylinders and rings are very similar. This indicates that the spheres tend to fuse into a very long cylinder with a large aspect ratio rather than a thick cylinder with a small aspect ratio, and the cylinder is further connected end to end to form a ring under annealing condition. Moreover, the thicknesses of the lamellas and the vesicles are also quite similar, which indicates that the vesicles are formed via the bending of the lamellas. These statistical results further confirm the pathways of morphological changes observed under slow temperature change rate shown in Fig. 4 and 5.

Table 1 Size statistics of the micelles obtained from different initial state under slow temperature change rate
  Annealing process Gradually heating process

image file: c4ra04112g-u1.tif

image file: c4ra04112g-u2.tif

image file: c4ra04112g-u3.tif

image file: c4ra04112g-u4.tif

image file: c4ra04112g-u5.tif

image file: c4ra04112g-u6.tif

image file: c4ra04112g-u7.tif

image file: c4ra04112g-u8.tif

image file: c4ra04112g-u9.tif

Radius Radius/aspect ratio Radius/aspect ratio Thickness Thickness/inner layer radius Thickness Radius/aspect ratio Radius/aspect ratio Radius
Initial state 1 4.27 ± 0.38 4.18 ± 0.52/9.92 4.10 ± 0.43/10.48 5.76 ± 0.58 5.52 ± 0.56/5.52 ± 0.50 6.01 ± 1.61 3.94 ± 0.47/10.56 3.75 ± 0.87/13.02 4.62 ± 0.69
Initial state 2 4.45 ± 0.24 3.86 ± 0.48/12.95 3.69 ± 0.53/12.11 7.11 ± 0.91 5.68 ± 0.57/5.58 ± 0.42 5.41 ± 0.61 3.79 ± 0.32/12.21 3.68 ± 0.64/14.00 4.62 ± 0.44
Initial state 3 4.29 ± 0.16 3.76 ± 0.63/14.50 3.05 ± 0.41/10.43 6.75 ± 0.72 5.68 ± 0.43/5.18 ± 0.44 5.91 ± 1.25 3.80 ± 0.37/12.01 3.67 ± 0.49/13.33 4.32 ± 0.54


In the case of rapid temperature change rate, most of the micelle morphologies observed during the transition are metastable. Therefore, only the average radius and radius distribution of the spheres in the final stable states (Fig. 2j, S2j and S3j) were calculated and shown in Fig. 7a–c. It is found that the average radius of the sphere and the peak position of the radius distribution in Fig. 7a–c are quite similar, which indicates that the size of sphere is independent of initial states. For the purpose of comparison, the average radius and radius distribution of the spheres in the slow temperature change process (Fig. 5j, S4h and S5h) are also given in Fig. 7d–f. It is seen that the sphere size and size distribution width of the spheres finally obtained upon different temperature change rate are similar, which means that the sphere size is independent of temperature change rate.


image file: c4ra04112g-f7.tif
Fig. 7 Averaged radius and radius distribution of the spheres obtained under rapid (a)–(c) and slow (d)–(f) temperature change rate.

The effect of temperature change rate on the morphological changes between sphere and vesicle has been investigated. By altering the temperature change rates, simulation results that are consistent with the experimental results reported by LaRue et al.25 and Bhargava et al.28 have been obtained. Although the temperature change rates are not mentioned in both experiments, the temperature change rate is concluded to be the key factor in determining whether the system experiences a non-equilibrium process or equilibrium process, which further determines the kinetic pathway of the morphological changes.

3.2 Effect of the temperature-dependence of the hydrophilicity of blocks A on the morphological changes of diblock copolymers

In this section, the temperature-dependence of the hydrophilicity of blocks A is also considered, i.e., image file: c4ra04112g-t10.tif with ΔA > 0. Three values of ΔA are employed, i.e., ΔA = 1, 3, 8. As stated in the Model and simulation section, ΔA is the parameter reflecting the degree of temperature-sensitivity of the hydrophilicity of blocks A. Therefore, the larger the value of ΔA is, the higher temperature-sensitivity |ε*AS| has. Other interaction parameters including ΔB remain the same as those in Section 3.1. The temperature change rate in this section is slow, which is the same as the slow temperature change rate adopted in Section 3.1.

Fig. 8 shows the variations of the contact number NBS with simulation time under annealing and gradually heating conditions when ΔA = 1. The pathways of morphological changes under annealing [Fig. 8a–f] and gradually heating [Fig. 8a′–e′] conditions are also given in Fig. 8. It is seen that the variation curves of NBS shown in Fig. 8 is quite similar to the curves shown in Fig. 6 when ΔA = 0. However, the final micelles (Fig. 8f) obtained in the annealing process in the case of ΔA = 1 is lamella instead of the vesicle obtained in the case of ΔA = 0. This phenomenon results from the introducing of temperature-dependence of the hydrophilicity of blocks A. Once the temperature-dependence of the hydrophilicity of blocks A is introduced (ΔA = 1), |ε*AS| will be increased with an increase in T*. However, it was found that the effect of increasing the hydrophilicity of blocks A is equivalent with the effect of decreasing the hydrophobicity of blocks B on the phase behaviors of block copolymers in a selective solvent.38 Therefore, when T* is increased, an increase in |ε*AS| will hinder the morphological transition induced by increasing ε*BS. However, because the value of ΔA is much smaller than ΔB, the effect of increasing |ε*AS| is relatively weaker than the effect of increasing ε*BS. Therefore, only the last morphology in the phase sequence shown in Fig. 4, i.e., vesicle, can not be obtained in the case of ΔA = 1.


image file: c4ra04112g-f8.tif
Fig. 8 . Variations of NBS with simulation time in the case of ΔA = 1. (a)–(f) and (a′)–(e′) are the corresponding morphologies observed under annealing and gradually heating conditions, respectively. (a) initial state, (b) 1.0 × 107 MCS, (c) 1.5 × 107 MCS, (d) 2.0 × 107 MCS, (e) 2.2 × 107 MCS, (f) 3.5 × 107 MCS, (a′) initial state, (b′) 1.0 × 107 MCS, (c′) 1.5 × 107 MCS, (d′) 1.8 × 107 MCS, (e′) 2.5 × 107 MCS.

For the purpose of comparison, ΔA is increased to 3. The pathways of morphological changes in the case of ΔA = 3 are shown in Fig. 9. It can be seen that the spheres (Fig. 9a) can only evolved into a long cylinder (Fig. 9d) under annealing condition in the case of ΔA = 3. This indicates that the effect of increasing |ε*AS| turns to be much stronger in the case of ΔA = 3 than that in the case of ΔA = 1. When ΔA is further increased to 8, the morphological change under annealing condition becomes almost invisible, i.e., the spheres (Fig. 10a) only change into larger spheres (Fig. 10b) after annealing. This indicates that the morphological transition from sphere to vesicle is almost completely hindered by increasing |ε*AS|.


image file: c4ra04112g-f9.tif
Fig. 9 . Snapshots at different stages showing the pathway of morphological changes in the case of ΔA = 3. (a)–(d) annealing process; (e)–(h) gradually heating process. (a) 5.0 × 106 MCS, (b) 1.0 × 107 MCS, (c) 1.5 × 107 MCS, (d) 5.0 × 107 MCS, (e) 5.0 × 106 MCS, (f) 1.5 × 107 MCS, (g) 2.0 × 107 MCS, (h) 2.5 × 107 MCS.

image file: c4ra04112g-f10.tif
Fig. 10 . Snapshots showing the morphological changes in the case of ΔA = 8. (a) initial state; (b) the snapshot at 1.0 × 108 MCS after annealing from the initial state; (c) the snapshot at 1.0 × 108 MCS after gradually heating from the spheres shown in (b).

From the simulation results shown in Fig. 8–10, it can be seen that introducing temperature-dependence into the hydrophilic blocks will hinder the morphological transition under annealing condition. The morphologies turn to be less variable with an increase in the degree of temperature-sensitivity of blocks A (ΔA). At the same time, from the heating processes shown in Fig. 8a′–e′, 9e–h, and 10b and c, it can be seen that the morphological changes are still reversible under a slow temperature change rate when ΔA changes from 1 to 8.

4. Conclusion

In this study, the effect of temperature change rate on temperature-induced reversible morphological changes of micelles formed by AB diblock copolymers was studied through Monte Carlo simulation. When only hydrophobic B blocks are temperature-sensitive, the simulation results show that the temperature-induced morphological changes are reversible under different temperature change rates. However, the kinetic pathways of morphological changes between sphere and vesicle depend on temperature change rate. Under rapid temperature change condition, the pathway during heating is different from the pathway during quenching. By contrast, the pathways during gradually heating and annealing are identical under slow temperature change condition. These simulation results indicate that the temperature change rate is the key factor in determining whether the system experiences a non-equilibrium process or an equilibrium process, which further determines the kinetic pathway of the morphological changes. On the other hand, when the hydrophilic blocks and hydrophobic blocks are both temperature-sensitive, the introduction of the temperature-sensitivity of hydrophilic blocks hinders the morphological transition from sphere to vesicle under annealing condition, and only larger sphere can be obtained after the annealing process when the degree of temperature-sensitivity of blocks A is rather high. Meanwhile, the simulation results show that the morphological transitions are still reversible under a slow temperature change rate when the hydrophilic blocks and hydrophobic blocks are both temperature-sensitive. Although the solution environment and the polymer properties in experiments are more complicated than those in simulations, the simulation results can still offer an insight into temperature-induced morphological change behavior and provide useful information for morphology control in experiments.

Acknowledgements

This work was financially supported by the National Natural Science Foundation of China for Youth Science Funds (21104078), the Science and Technology Development Projects of Jilin Province (201201096), and the Scientific Research Starting Foundation for the Jilin Agricultural University, China (201212).

References

  1. L. F. Zhang and A. Eisenberg, Science, 1995, 268, 1728–1731 CAS.
  2. L. F. Zhang and A. Eisenberg, J. Am. Chem. Soc., 1996, 118, 3168–3181 CrossRef CAS.
  3. J. F. Ding and G. J. Liu, Macromolecules, 1997, 30, 655–657 CrossRef CAS.
  4. A. Mecke, C. Dittrich and W. Meier, Soft Matter, 2006, 2, 751–759 RSC.
  5. O. Onaca, R. Enea, D. W. Hughes and W. Meier, Macromol. Biosci., 2009, 9, 129–139 CrossRef CAS PubMed.
  6. P. Broz, S. Driamov, J. Ziegler, N. Ben-Haim, S. Marsch, W. Meier and P. Hunziker, Nano Lett., 2006, 6, 2349–2353 CrossRef CAS PubMed.
  7. K. Mortensen, Curr. Opin. Colloid Interface Sci., 1998, 3, 12–19 CrossRef CAS.
  8. G. J. Liu, Chin. J. Polym. Sci., 2000, 18, 255–262 CAS.
  9. S. Jain and F. S. Bates, Science, 2003, 300, 460–464 CrossRef CAS PubMed.
  10. J. J. Yuan, R. Ma, X. Q. Li, K. Zhuang, S. Y. Cheng, L. Jiang, L. X. Feng and Z. Q. Fan, Chin. J. Polym. Sci., 2003, 22, 17–23 CAS.
  11. A. Choucair, C. Lavigueur and A. Eisenberg, Langmuir, 2004, 20, 3894–3900 CrossRef CAS.
  12. J. Bang, S. Jain, Z. Li, T. P. Lodge, J. S. Pedersen, E. Kesselman and Y. Talmon, Macromolecules, 2006, 39, 5583 CrossRef CAS.
  13. Y. Y. He, Z. B. Li, P. Simone and T. P. Lodge, J. Am. Chem. Soc., 2006, 128, 2745–2750 CrossRef CAS PubMed.
  14. Y. Jiang, J. T. Zhu, W. Jiang and H. J. Liang, J. Phys. Chem. B, 2005, 109, 21549–21555 CrossRef CAS PubMed.
  15. P. C. Sun, Y. H. Yin, B. H. Li, T. H. Chen, Q. H. Jin, D. T. Ding and A. C. Shi, J. Chem. Phys., 2005, 122, 204905 CrossRef PubMed.
  16. J. T. Zhu, Y. Jiang, H. J. Liang and W. Jiang, J. Phys. Chem. B, 2005, 109, 8619–8625 CrossRef CAS PubMed.
  17. X. A. Li, P. Tang, F. Qiu, H. D. Zhang and Y. L. Yang, J. Phys. Chem. B, 2006, 110, 2024–2030 CrossRef CAS PubMed.
  18. Y. T. Zhu, X. P. Yang, W. X. Kong, Y. P. Sheng and N. Yan, Soft Matter, 2012, 8, 11156–11162 RSC.
  19. L. Wang, T. Jiang and J. Lin, RSC Adv., 2013, 3, 19481–19491 RSC.
  20. Ws. Kong, B. Li, Q. Jin, D. Ding and A.-C. Shi, J. Am. Chem. Soc., 2009, 131, 8503–8512 CrossRef CAS PubMed.
  21. Y. P. Sheng, X. P. Yang, N. Yan and Y. T. Zhu, Soft Matter, 2013, 9, 6254–6262 RSC.
  22. S. H. Qin, Y. Geng, D. E. Discher and S. Yang, Adv. Mater., 2006, 18, 2905–2909 CrossRef CAS.
  23. P. W. Zhu and D. H. Napper, Langmuir, 2000, 16, 8543–8545 CrossRef CAS.
  24. J. Bang, K. Viswanathan, T. P. Lodge, M. J. Park and K. Char, J. Chem. Phys., 2004, 121, 11489–11500 CrossRef CAS PubMed.
  25. I. LaRue, M. Adam, M. Pitsikalis, N. Hadjichristidis, M. Rubinstein and S. S. Sheiko, Macromolecules, 2006, 39, 309–314 CrossRef CAS.
  26. H. Wei, X. Z. Zhang, Y. Zhou, S. X. Cheng and R. X. Zhuo, Biomaterials, 2006, 27, 2028–2034 CrossRef CAS PubMed.
  27. S. Abbas, Z. B. Li, H. Hassan and T. P. Lodge, Macromolecules, 2007, 40, 4048–4052 CrossRef CAS.
  28. P. Bhargava, Y. F. Tu, J. X. Zheng, H. M. Xiong, R. P. Quirk and S. Z. D. Cheng, J. Am. Chem. Soc., 2007, 129, 1113–1121 CrossRef CAS PubMed.
  29. Z. D. Wang and W. Jiang, Soft Matter, 2010, 6, 3743–3746 RSC.
  30. E. V. Korchagina, X.-P. Qiu and F. o. M. Winnik, Macromolecules, 2013, 46, 2341–2351 CrossRef CAS.
  31. I. Carmesin and K. Kremer, Macromolecules, 1988, 21, 2819–2823 CrossRef CAS.
  32. R. Larson, J. Chem. Phys., 1989, 91, 2479 CrossRef CAS PubMed.
  33. R. Larson, J. Chem. Phys., 1992, 96, 7904 CrossRef CAS PubMed.
  34. W. Hu, J. Chem. Phys., 1998, 109, 3686 CrossRef CAS PubMed.
  35. K. Haire, T. Carver and A. Windle, Comput. Theor. Polym. Sci., 2001, 11, 17–28 CrossRef CAS.
  36. S. Ji and J. Ding, Langmuir, 2006, 22, 553–559 CrossRef CAS PubMed.
  37. N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller and E. Teller, J. Chem. Phys., 1953, 21, 1087 CrossRef CAS PubMed.
  38. J. J. Fan, Y. Y. Han and W. Jiang, Chem. J. Chin. Univ., 2011, 32, 1651 CAS.

Footnote

Electronic supplementary information (ESI) available: The simulation results obtained in larger simulation box L = 50, and the repeated simulation results with different initial states. See DOI: 10.1039/c4ra04112g

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