Abstract
Amphiphilic block-copolymer vesicles are increasingly used for medical and chemical applications, and a novel method for their transient self-assembly orchestrated by periodically generated radicals during the oscillatory Belousov-Zhabotinsky (BZ) reaction was recently developed. Here we report how combining this one pot polymerization-induced self-assembly (PISA) method with a continuously stirred tank reactor (CSTR) strategy allows for continuous and reproducible control of both the PISA process and the chemical features (e.g. the radical generation and oscillation) of the entrapped cargo. By appropriately tuning the residence time (τ), target degree of polymerization (DP) and the BZ reactants, intermediate self-assembly structures are also obtained (micelles, worms and nano-sized vesicles). Simultaneously, the chemical properties of the cargo at encapsulation are known and tunable, a key advantage over batch operation. Finally, we also show that BZ-driven polymerization in CSTR additionally supports more non-periodic dynamics such as bursting.
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Introduction
Amphiphilic block copolymer vesicles (or polymersomes)1,2 have emerged as attractive artificial systems mimicking basic properties thought to be present in primitive cell membranes in the origin of life3,4 and play a role in artificial life contexts5,6. Polymersomes are also becoming widely used as nanoreactors or nanocarriers7,8. Polymer vesicles are more stable, have stronger mechanical resistance, and their membranes are easier to functionalize than those of liposomes9,10,11,12,13. Polymerization-induced self-assembly (PISA) is a powerful one-pot one-solvent strategy to prepare well-defined polymer vesicles, and because of its autonomous character, it provides many novel opportunities in a variety of fields from active materials to artificial biology14,15,16,17,18,19.
In a typical PISA setting, in a batch reactor, a soluble polymer is chain-extended with a second monomer to form amphiphilic diblock copolymers that can further undergo self-assembly into a range of morphologies14,15. Many polymerization methods have been used to perform PISA, including reversible addition–fragmentation chain transfer (RAFT)–PISA, atom transfer radical polymerization (ATRP)–PISA, ring-opening metathesis polymerization (ROMP)–PISA, enzymatic PISA, and others20. Recently, our group reported a novel RAFT–PISA approach, the Belousov–Zhabotinsky (BZ) reaction-driven RAFT–PISA, which shows significant activity for the synthesis of giant polymer vesicles under fully open-air conditions with water as a solvent21,22.
The BZ reaction is the first and most studied nonbiochemical oscillatory reaction. It was first discovered in the 1950s by Belousov while he was looking for a chemistry-mimicking glycolysis23,24. The reaction involves the oxidation of a weak organic acid (e.g., citric acid and malonic acid) in an acidic aqueous solution in the presence of bromate ions and a transition metal catalyst that can oscillate between two oxidation states (e.g., Ce3+–Ce4+ and Ru2+–Ru3+). The redox potential relaxation oscillations occur because the key intermediate bromide ions Br− and the autocatalytically generated bromous acid HBrO2 compete for the bromate ions. Figure 1c shows a simplified reaction mechanism of the BZ reaction (adapted from the Field–Körös–Noyes (FKN) mechanism25) and its interactions with the RAFT main equilibrium reaction.
The BZ reaction was later26 experimentally shown to be caused by a free-radical mechanism by observing the inhibition of oscillations when in the presence of acrylonitrile monomers. In the course of an oscillation, as the catalyst is oxidized, bromine dioxide radicals are dominantly produced, while as the catalyst is reduced, malonyl radicals are dominantly produced27. Acrylonitrile polymerization by BZ chemistry was further studied both experimentally and mechanistically in a batch reactor28. PISA has been shown to take place when coupling the periodically generated radicals from an oscillating BZ reaction to chain- extend a hydrophilic PEG macroCTA to form an amphiphilic copolymer that further self-assembled into blebbing and dividing polymer vesicles21,22. Due to the autonomous nature of the self-assembly, the resulting polymer vesicles entrap the active oscillatory reaction and thus maintain not only the “living” property typical of RAFT, but also augments the functionality of the resulting vesicles with information-handling capabilities22,29,30. It should also be noted that the BZ chemical initiation of the polymerization has some advantages over thermal initiation, most of which are shared with photoinitiation methods: BZ is run at low temperatures (typically in the range 20–30 °C), is oxygen tolerant, runs in open-air conditions in aqueous medium, and the catalyst is not consumed during polymerization but continuously and periodically regenerated through the chemical oscillations. Indeed, the catalyst regeneration can be tuned to a large extent and through a variety of operating variables that influence radical production, including temperature, BZ reactants, stirring rate, light intensity, and wavelength. Note that the cargo we want to encapsulate also drives the polymerization while not requiring additional initiators.
Our motivation in choosing CSTR operation for BZ–PISA is to simultaneously control in a consistent and repeatable way both the PISA process and the chemical features (i.e., the period, amplitude, and shape of oscillations) of the entrapped cargo. In a batch operation, the BZ reaction will eventually reach equilibrium and cause the oscillations to die out, therefore strongly affecting the dynamics of the radical species. A more critical challenge is that in batch it is literally impossible to know accurately the chemical properties of the entrapped cargo at self-assembly, since the features of the oscillations are continuously varying as the polymerization progresses. In contrast, a CSTR operation with the continuous inflow of reactants and outflow of the reaction media allows for keeping indefinitely the system in a stationary out-of-equilibrium oscillatory mode with well-defined and precisely known oscillatory features, and hence, the associated radical dynamics. BZ in CSTR operation mode has been widely studied since the 1970s31,32,33,34,35,36. Initial work focused on evaluating the conditions in which oscillations can be sustained and demonstrated that there is a range of residence times over which they occur31, and also that near the lower end and higher end of this range, more complex oscillatory behaviors32 exist such as multipeaked periodic oscillations, bursting patterns, high sensitivity to small perturbations, or deterministic chaos33,34,35. It has recently been reported that feed rate noise can also modulate autocatalysis and shapes of the oscillations of the BZ reaction in CSTR37. Thus, coupling BZ–PISA with the CSTR operation of BZ holds great potential for achieving better control and consistency of both the self-assembled vesicles and their encapsulated cargo.
Interest in running PISA in continuous reactors is growing rapidly38,39,40,41,42,43,44,45 with the focus placed on plug-flow reactors and their variants such as slug flow45, since such mode of operation leads to the narrowest residence time distributions, and with it to the tightest control of the final polymer length distribution and self-assembled objects. However, a plug-flow reactor is not adequate for our purpose because when BZ is run in plug flow, it results in stationary space-periodic structures (“waves”)46 with constant forcing at the inflow and to traveling space-periodic waves with periodic forcing at the inflow47, and our focus is on encapsulating temporal–periodic oscillations and not space-periodic oscillations.
Here we show the autonomous synthesis of polymer vesicles with an active encapsulated and tunable BZ oscillatory reaction, making use of a novel PISA CSTR mode of operation and achieving simultaneous control of the self-assembly and the cargo properties.
Results
Macro-chain transfer agent synthesis and functionalization
First, a water-soluble PEG45-4-cyano-4-[(dodecylsulfanylthiocarbonyl) sulfanyl]pentanoic acid was synthesized and used as macro-chain transfer agent (macroCTA) and stabilizing block48. The functionalization of PEG–OH with small RAFT molecules to synthesize our macroCTA was determined to be 98% using 1H NMR spectroscopy (Supplementary Fig 1).
Continuously stirred tank reactor operation
Commercially available diacetone acrylamide (DAAM) was used as a monomer known to be water-miscible at room temperature, yet its polymer is water-insoluble and has previously been reported to be a monomer for PISA49,50. As mentioned in the introduction, the oscillating BZ reaction can generate radicals periodically to initiate the polymerization of the monomer26,27,28. Figure 1a illustrates schematically the CSTR setup where the BZ reactants, monomer, and PEG-based macroRAFT are continuously pumped into the reactor, and the products are pumped out continuously to maintain a constant volume. In the reactor, as the PDAAM block grows to a critical length, the diblock copolymer self-assembles in water to form polymer objects (Fig. 1b). Samples for further analysis were collected both at specific time intervals and after the oscillations stabilized (after 1.5 times the residence time).
Oscillatory redox potential profiles for different reactor modes
Figure 2 illustrates the differences between the redox oscillatory features of batch versus CSTR operation of both the pure BZ reaction and its course when providing radicals for PISA. Note how the oscillatory features vary considerably with time in the case of batch operation (see Fig. 2a, c), while in CSTR, the chemical oscillation features reach stationary periodicity both in pure BZ and in BZ-driven polymerization (see Fig. 2b for pure BZ reaction and Fig. 2d for BZ–PISA). In batch, the presence of monomer and macroCTA leads to considerably longer induction times, considerably shorter time span in the oscillatory regime, and different transient trends in the oscillatory features, i.e., the average and period of each oscillation compared with the same observed trends for BZ alone. The induction time here increased to ~3000 s due to the PEG macroCTA and monomer (Fig. 2c). The presence of monomer and macroCTA in CSTR operation changed the oscillatory features but reached, as expected, stationary conditions that guarantee a controlled stationary supply of radicals for polymerization. The stationary oscillations in Fig. 2d have a stable period of ~42 s and a stable amplitude of ~100 mV compared with the pure BZ reaction without any of the RAFT ingredients (the period was about ~45 s and the amplitude ~150 mV). All these CSTR results confirm that stable oscillations are reached, thus avoiding radical depletion and ensuring stable polymerization and self-assembly conditions.
The inflow concentration of reactants in CSTR matched the initial conditions of the batch experiments (0.2 mM Ru-catalyst recipe).
Characterization of the PEG-b-PDAAM block copolymer
Figure 3 presents the results of the characterization of the resulting PEG-b-PDAAM block copolymers. 1H NMR and gel permeation chromatography (GPC) were used to confirm the formation of PEG-b-PDAAM. DAAM conversion by 1H NMR was determined to be ~55% by comparison of the PEG signals at 3.64–3.675 ppm labeled “a” to the PDAAM methyl signal labeled “f” (Fig. 3a). The molecular weight (Mn) and molar mass dispersity index measured by GPC were ~4.2 × 104 g mol−1 and ~3.0 (Fig. 3b), respectively. (The broad molecular distribution is typical for CSTR because the lifetime of a growing/dormant polymer chain of a living process is equal to the residence time in the reactor51.) Note that as the actual time any molecule spends in a CSTR follows a normal distribution whose dispersion grows as the residence time grows, the distribution of polymer chains and self-assembled objects is also expected to be broader at longer residence times.
To understand the effect of the BZ–CSTR operating variables on the polymerization, we monitored both the transient and steady-state conversion. The steady-state conversion was determined by 1H NMR and involved a time-consuming purification process. For the transient monomer conversion, UV–vis spectroscopy was used by detecting the decline of the absorption of DAAM at λmax = 226 nm, which derives from the conjugation effect between C=C and C=O of α,β-unsaturated amides, and disappears after being polymerized. The concentration standard plot of the DAAM monomer is shown in Supplementary Fig. 2 in the Supporting Information. Conversion dynamic trends for three different residence times (40, 90, and 120 min), BZ 0.2 mM Ru-catalyst recipe, and monomer/RAFT ratio of concentration of 400 are shown in Fig. 3c. Conversions increased rapidly within the first hour and then stabilized for each residence time. As residence time increases, so does conversion as is clearly seen in Fig. 3c.
Transient self-assembly evolution during CSTR operation
Morphological evolution during the transient CSTR operation was studied by transmission electron microscopy (TEM) (Fig. 4a–c). Micelles with a diameter of ~80 nm were first observed after 1800 s. As the reaction time progresses, the residence time effect becomes apparent. A mixture of micelles, small amounts of worms, and nanovesicles were obtained in the sample taken after 60 min. Finally, giant vesicles with a diameter ~2 µm were formed after the reaction reaches the 120-min coordinate. The morphology corresponding to the sample taken after 180 min, was thoroughly characterized by TEM (Fig. 4d), dynamic light scattering (DLS) (Fig. 4e), and confocal laser-scanning microscopy (CLSM) (Fig. 4f). The DLS results confirmed that micrometer-sized vesicles have been formed, while CLSM showed that hollow vesicles formed with a diameter that could be as large as ∼5 μm.
Effect of residence time and of the monomer/RAFT ratio
In order to demonstrate the versatility of BZ–CSTR PISA, we targeted different morphologies by varying residence time after noticing that longer residence times imply larger conversions and larger lengths of the solvophobic block. Samples withdrawn 1.5 times the residence time were analyzed via TEM that revealed morphological transitions from spheres and worm mixtures (40-min residence time, Fig. 5a), to nanovesicles (90-min residence time, Fig. 5b), to finally GVs with diameters as large as ~2 µm (120-min residence time, Fig. 4d).
To further demonstrate the adaptability of the CSTR–BZ–PISA system, we investigated morphology changes by varying the monomer/RAFT ratio of concentrations. As shown in Fig. 5c, pure micelles were obtained at a residence time of 90 min, while worms (Fig. 5d) and spherical nanoaggregates (Fig. 5e) were obtained at longer residence times of 120 and 150 min. The final conversion values judged by UV–vis spectra were respectively 41.3%, 52.9%, and 55.6%, as summarized in Table 1. Compared with the results for a monomer/RAFT ratio of concentration of 400 (Fig. 5a, b), longer residence times are required to achieve equivalent self-assembled morphologies as the ratio was reduced.
Residence time as a consistent control variable
Of course, the residence time can be varied in a straightforward and rapid way by adjusting the pumped flowrates. Residence time is thus a convenient control variable if it can affect polymerization and self-assembly in an observable and reproducible manner. To prove such reproducibility experimentally, we ran an experiment in which the residence time was varied from 60 to 120 min and back to 60 min. However, prior to running the experiment, we carried out some residence time distribution measurements to establish when steady state is attained in our setup. Due to the difficulty of finding an inert tracer for BZ, we ran the measurements with water as flowing medium and a fluorescent tracer. From this, we concluded that an elapsed time equivalent to three residence times is needed to reach steady state (see Supplementary Figs. 3 and 4). Supplementary Fig. 5 shows the oscillations of the redox potential of the B–Z reaction. The reaction oscillated with average period and amplitude of ~36 s and ~120 mV, respectively, at residence time of 60 min. Interestingly, when the residence time was changed to 120 min in stage 2, a bursting/chaotic behavior of the redox potential was observed instead of the expected periodic oscillations. Once the setpoint was reduced back to 60 min, the bursting behavior was substituted by an oscillatory behavior equivalent to that of the beginning of the experiment. Regarding the polymer morphology, nanovesicles were obtained at residence time of 60 min in the first stage and in the last stage having, as expected, similar average sizes of ~150 nm as can be seen from both TEM images (Fig. 6a, c) and DLS (Fig. 6d, and Supplementary Table 2). It is noteworthy that despite the observed bursting/chaotic behavior of BZ, the resulting dominant morphology continues to be giant μ-sized vesicles (Fig. 6b, d stage 2). The steady-state conversion was ~40% at the two stages using residence time of 60 min, while conversion increased to ~54% in the middle stage for a residence time of 120 min.
We point out that this dynamic experiment together with some additional experiments (Supplementary Fig. 6), in which we varied the BZ recipe, constitutes, to the best of our knowledge, the first report of bursting/chaotic behavior in BZ-driven polymerization and of course in BZ–PISA.
Effect of the BZ-reactant recipe
Adjusting the concentrations of the BZ reactants provides yet another way to influence the nonlinear dynamical behaviors and the periodic radical generation that consequently affect both the polymerization and the self-assembly stages of PISA. In an effort to assess the possibility to tune the recipe of the BZ reaction in CSTR to regulate self-assembly in CSTR, we used a different BZ recipe (0.45 mM Ru-catalyst recipe, see Supplementary Table 1) that is more concentrated on several reactants than the original recipe. Supplementary Fig. 7 shows the oscillations of the redox potential of the pure BZ reaction and the BZ reaction with PEG45-CDTPA and monomer for a 0.45 mM Ru-catalyst recipe. Compared with the 0.2 mM Ru-catalyst recipe, the induction period was now shortened to ~20 min, the amplitude and period were decreased to 120 mV and ~35 s. Faster oscillations, i.e., faster radical generation, generally increase polymerization rate and monomer conversion as demonstrated by Fig. 7a. When a monomer/RAFT agent ratio of 200 was used, the conversion at a residence time of 60 min with 0.45 mM Ru-catalyst recipe (43.1%) matches the conversion at the residence time of 90 min with 0.2 mM Ru-catalyst recipe (41.3%) (Fig. 7a and Table 1). A mixture of micelles and short worms (Fig. 7b) was obtained over a shorter residence time of 60 min as compared with 90 min of 0.2 mM Ru-catalyst recipe, which we attribute as due to the faster oscillations, i.e., faster radical generation, accompanied by a correspondingly larger conversion.
Discussion
By coupling BZ–RAFT–PISA with a CSTR mode of operation, we have accomplished controllable and reproducible autonomous synthesis of giant vesicles (and other intended morphologies) with known and tunable chemical properties of the encapsulated cargo that fed the polymerization in the first place.
First, we observed that as the residence time is increased (for an appropriately selected monomer/RAFT concentration ratio), the larger the steady-state conversion with the steady-state dominant morphology evolving from micelles to worms, to ~100-nm vesicles, and to giant ~1-μm vesicles. Hence, the residence time acts for CSTR as the proxy of polymerization time in batch. We also proved experimentally that if the monomer/RAFT concentration ratio is decreased while keeping the same BZ recipe, then longer residence times are required to achieve self-assembled structures, i.e., it takes longer residence times to obtain micelles, worms, and vesicles, respectively. On the other hand, if the monomer/RAFT concentration ratio is kept constant and the BZ recipe is changed to concentrations leading to faster radical production and faster observed oscillations, then shorter residence times are needed to respectively achieve micelles, worms, vesicles, and giant micro-sized vesicles. In order to prove that residence time alone is an effective and convenient variable to control the self-assembly and the chemical cargo in a reproducible way, we designed and run an experiment in which residence time was first increased and then decreased to the initial value, and we verified that the conversion, the stationary oscillation features, and the dominant self-assembly first changed and then evolved back to the original stationary conditions. Interestingly, for the stage with residence time of 120 min, a bursting/chaotic regime of BZ was observed. Hence, running BZ-driven polymerization in CSTR allows to attain not only periodic oscillatory behaviors but also more exotic, chaotic, or aperiodic oscillatory regimes. (We did not study the effects of these exotic regimes on the morphologies.)
Compared with batch BZ–PISA, our CSTR strategy offers several advantages. (1) Stationary and well-known oscillatory conditions were achieved during polymerization, thus ensuring consistency of both the self-assembly and the chemical properties of the cargo. (2) The stationary oscillatory regime, and consequently the associated stationary conversion, self-assembly, and properties of the cargo can be modified by varying residence time, DP target, and/or BZ-recipe properties, which pave the way to optimize reactor operation for the autonomous synthesis of specific self-assembled objects with desired chemical and functional properties of the entrapped cargo. (3) The rich range of aperiodic and periodic oscillatory behaviors, including bursting and chaotic regimes, which characterize BZ in CSTR operation, can be attained when coupling BZ to polymerization and PISA.
Finally, it is relevant to point out in the context of artificial biology or in the exploration of the route from protolife to the origins of life, a CSTR mode operation that resembles more closely the out-of-equilibrium and open-system characteristics of living systems and their environments. This makes our model platform suitable for the study of protolife scenarios, including pH-oscillator-based scenarios52. In addition, we expect that these results will apply to PISA with oscillatory chemistries other than BZ.
Methods
Materials
Chemicals were used without further treatment if not otherwise stated. Malonic acid (MA, 99%), tris(2,2′-bipyridyl)dichlororuthenium (II) hexahydrate (Ru(bpy)32+), diacetone acrylamide (DAAM, 99%), poly(ethylene glycol) methyl ether (PEG45-OH, average Mn~2000 g mol−1), and 4-Cyano-4-[(dodecylsulfanylthiocarbonyl)sulfanyl]pentanoic acid (CDTPA, 97%) were obtained from Sigma Aldrich. Sodium bromate (NaBrO3, 99.5%) was purchased from Alfa Aesar. Sulfuric acid (H2SO4, 10 Normal) was purchased from Ricca Chemical Company. Deuterated methanol (CD3OD, 99.96 atom%) was purchased from Cambridge Isotope Laboratories, Inc. PEG45–CDTPA macroCTA was synthesized according to the literature48. The ultrapure water (molecular grade) used throughout all syntheses was purchased from Hardy Diagnostic.
Characterization
1H NMR spectra were recorded on a Varian Unity/Inova 500B spectrometer (500 MHz) at room temperature. The concentrated solution or solid polymer was dissolved in methanol-d4 for 1H NMR measurement. GPC analysis was performed using an Agilent 1260 system. The eluent was N,N-dimethylformamide (HPLC grade, containing 50 mM LiBr) at a flow rate of 1 mL min−1 at 50 °C. Polystyrene (PS) standard was used to calibrate GPC for molecular weight measurements. TEM images were obtained on a JEOL 2100 electron microscope and Hitachi HT7800 microscope at an acceleration voltage of 80 kV. The samples were prepared by dropping 5 μL of solution on carbon-coated copper grids (200 mesh, Ted Pella, USA) and left to stay for 1 min without adding additional stain agent since the Ru2+ in the solution provides enough contrast. The excess solution was blotted carefully with filter paper. DLS measurements were carried out using a Beckman–Coulter DelsaTM Nano C Particle Size & Zeta Potential Analyzer and Malvern Panalytical, Zetasizer Nano ZS. CLSM images were obtained using an ELYRA super-resolution microscope. The samples were stained with 0.4 mM Rhodamine 6 G (v/v 10:1) and were excited at 561 nm. Ultraviolet–visible (UV–Vis) spectroscopy measurements were conducted on a Cole Parmer 2100UV + spectrophotometer. In total, 20-µL samples were diluted with 5 mL of methanol for UV–vis measurement.
Experimental setup
As shown in Fig. 1, the feeding system was manually programmed to automatically calculate and deliver the appropriate inflow of a macro PEG–CTA, monomer, and BZ reactants into the system and the outflow to keep the volume constant and the desired residence time. Each reactant (PEG45–CDTPA, DAAM, H2SO4 + Malonic Acid, Ru(bpy)32+, and NaBrO3) was pumped to the reactor by a Longer BT-100 2J peristaltic pump. The same type of peristaltic pump was used to pump the outflow. Oscillations were continuously monitored by measuring the redox potential (Ru2+/Ru3+) with a Microelectrodes Inc ORP meter (with data frequency of five samples per second). A jacketed glass reactor was connected to a thermal bath to keep the reaction temperature constant at 25 °C, and a magnetic stirrer was used for stirring the solution.
B–Z-mediated RAFT aqueous dispersion PISA in CSTR
Reactant concentrations for recipe 1 are as follows: PEG45–CDTPA (0.08 mM), Ru (bpy)32+ (0.2 mM), DAAM (32 mM), NaBrO3 (0.15 M), H2SO4 (0.5 M), and CH2(COOH)2 (0.06 M) for a target degree of polymerization of 400. The total volume is 50 mL. The contents were stirred at 300 rpm at 25 °C in dark conditions (note that the ruthenium catalyst is photosensitive).
Residence time distribution measurements
Residence time distribution measurements using a pulse method are nontrivial to carry out in the BZ reaction medium, due to the extreme reactivity of BZ and the lack of inert tracers. BZ is acidic and pH sensitive and contains a strong oxidant and a metallic catalyst. Since the tracer should be inert, any molecule that affects pH or redox potential or reacts with the radicals produced during reaction is not an adequate tracer. Most organic fluorescent dyes are degraded or oxidized by BZ, pH dyes would affect pH, most salts would affect the redox potential, etc. Due to the difficulty to find an appropriate tracer, we ran tracer tests in our setup running water instead of the BZ to get a baseline, before running the same tests with BZ and evaluate the degree of degradation of the tracer. Supplementary Fig. 3 shows the tracer results using a pulse, leading to a concentration of 3.4 μg ml−1 of Rhodamine B and measuring the absorbance at a wavelength of 543 nm, for residence times of 60 and 120 min. As shown in Supplementary Fig. 3, the actual residence time distributions are very close to their respective ideal RTDs. The experimental mean RTD and variance RTD in water are 57 and 54 for the 60-min setting and 116 and 116 min for the 120-min setting.
Unfortunately, when attempting the RTD measurement in the actual reaction medium, BZ polymerization, even if using a ten times more concentrated pulse of the same tracer, Rhodamine B, the tracer was completely degraded and reacted within 3 min, illustrating the difficulty to run RTD measurements in BZ (see Supplementary Fig. 4).
Data availability
The datasets generated and/or analyzed during this study are available from the corresponding author on reasonable request.
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Acknowledgements
We thank Repsol S.A. for supporting this research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the paper. The authors thank Drs. Bishnu Bastakoti, Jinshan Guo, Eszter Poros-Tacali, Gong Cheng, Shaji Varghese, and Chenyu Lin for discussions and useful suggestions.
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L.H. and M.D.D. performed the experiments; L.H., M.D.D., and J.P.M. analyzed the results; L.H., M.D.D., and J.P.M. designed the experiments and methods; L.H., M.D.D., and J.P.M. wrote the paper and Supplementary Information; R.S., M.D.D., and J.P.M. conceived the initial idea; J.P.M. directed the project.
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Hou, L., Dueñas-Díez, M., Srivastava, R. et al. Flow chemistry controls self-assembly and cargo in Belousov-Zhabotinsky driven polymerization-induced self-assembly. Commun Chem 2, 139 (2019). https://doi.org/10.1038/s42004-019-0241-1
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DOI: https://doi.org/10.1038/s42004-019-0241-1
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