Abstract
Imine self-assembly stands as a potent strategy for the preparation of molecular organic cages. However, challenges persist, such as water insolubility and limited recognition properties due to constraints in the application of specific components during the self-assembly process. In this study, we addressed these limitations by initially employing a locking strategy, followed by a postassembly modification. This sequential approach enables precise control over both the solubility and host–guest properties of an imine-based cage. The resulting structure demonstrates water solubility and exhibits an exceptional capacity to selectively interact with anionic surfactants, inducing their precipitation. Remarkably, each cage precipitates 24 equiv of anionic surfactants even at concentrations much lower than the surfactant’s critical micelle concentration (CMC), ensuring their complete removal. Molecular simulations elucidate how anionic surfactants specifically interact with the cage to facilitate aggregation below the surfactant CMC and induce precipitation as a micellar cross-linker. This innovative class of cages paves the way for the advancement of materials tailored for environmental remediation.
1. Introduction
The field of molecular cages is gaining substantial attention,1−6 fueled by the tremendous potential they offer for biological applications,7−10 catalysis,11−13 and chemical separations.14,15 Molecular self-assembly based on imine condensation has emerged as one of the most effective approaches for synthesizing organic cages.16−18 However, three major challenges have hindered their use: low solubility in aqueous media,19,20 the imine bond instability in the presence of nucleophiles and water,21,22 and the difficulties associated with using polar groups in the self-assembly process. Consequently, these cages have mainly been employed in the design of porous solid materials for gas separation and adsorption.23,24
The lability of imine bonds can be addressed by employing postassembly covalent locking, converting imines to secondary amino groups.25−27 However, addressing the challenge of poor water solubility proves more complex.28,29 This issue arises from the need to incorporate rigid aromatic components into the self-assembly process to generate cavities, contributing to the hydrophobic nature of the resulting cages.30,31 Additionally, the sensitivity of the imine self-assembly process to polar functionalities restricts the inclusion of polar groups in the cage, limiting both the solubility and molecular recognition.
Surfactants, commonly referred to as “amphiphiles”, are one of the most applied supramolecular units in aqueous media for biological and industrial applications.32,33 These molecules consist of a hydrophobic tail and a hydrophilic head. The hydrophobic part is an aliphatic tail, whereas the polar head can vary according to its charge: nonionic, cationic, anionic, or zwitterionic. The amphiphilic nature of these molecules enables them to self-assemble into supramolecular aggregates, called micelles. As a result of their self-assembly properties in aqueous solutions, surfactants have an extensive range of industrial applications. In fact, they are anticipated to exceed a global market value of $52 billion by 2025.34
Surfactants present a significant environmental risk because of their impact on water, animal, and vegetal life. Additionally, some surfactants also have severe health implications on humans through ingestion or drinking of contaminated food items.34 A promising avenue to remove surfactants is the use of synthetic host molecules that can selectively bind to surfactants. However, research in this area is limited, with only a few studies reporting that traditional hosts like cyclodextrins are capable of encapsulating a single molecule of surfactant without inducing precipitation.35,36 Furthermore, the research team led by Sessler and Chi has recently utilized molecular cages to fabricate solid materials designed for the removal of fluorinated surfactants.37,38
Herein, we investigate the potential of a secondary postassembly modification39,40 of imine-locked structures to enhance water solubility and induce novel recognition properties (Figure 1). Our research suggests that amide bond formation represents a suitable approach for attaching functionalities to the amino groups formed through postassembly covalent locking. By implementing this approach, we achieved the successful synthesis of a functionalized cage that exhibits solubility in both water and phosphate buffer. Furthermore, this cage displayed a distinctive selectivity toward anionic surfactants, exhibiting a unique behavior by serving as a template agent for the formation of insoluble anionic micelles, resulting in the complete elimination of surfactants from the aqueous solution.
Figure 1.
Schematic illustration of the synthetic approach to develop a molecular cage capable of precipitating anionic surfactants.
2. Results and Discussion
2.1. Synthesis and Characterization of A4B4 Cage
Molecular cage A4B4 was prepared by using a one-pot Schiff base condensation involving 1,3,5-tris(aminomethyl)-2,4,6-trimethylbenzene (A) and tris(4-formylphenyl)amine (B). This process resulted in the formation of a tetrahedral imine-based cage with a cavity diameter of 10 Å, as previously reported by Cooper’s group.41 We found that this cage can undergo direct reduction in a one-pot reaction with the addition of sodium borohydride in methanol (Figure 2a). Nuclear magnetic resonance (NMR) and liquid chromatography-mass spectrometry (LC-MS) analyses unequivocally confirmed the successful formation of the covalent-locked cage A4B4 in quantitative yield (Figures S3–S8).
Figure 2.
Synthesis and characterization of molecular cage A4B4. (a) Preparation of the molecular cage. (b) 1H NMR of A4B4 in DMSO (blue) and D2O (pink), showing one set of signals from the aromatic panel, where the broadening of the signals in water due to slow rotation can be observed. (c) Comparison of the solubility of A4B4 in both acidic water and PBS buffer.
The solubility of A4B4 was assessed in both organic and aqueous solvents. When deprotonated, the cage is insoluble in common solvents and only partially soluble in dimethylformamide (DMF). However, upon protonation with either HCl or trifluoroacetic acid (TFA), A4B4 displays substantially enhanced solubility in water, dimethyl sulfoxide (DMSO), and DMF. Consequently, 1H NMR spectroscopy could be utilized for further characterization of this compound. In deuterated DMSO, A4B4 exhibits only one set of sharp ligand resonances (Figure 2b). This can be attributed to the rapid rotation of the aromatic rings within the cage, leading to a highly symmetric structure. Conversely, the 1H NMR spectrum of the cage in acidic D2O displays significantly broadened signals, suggesting a collapsed structure induced by the hydrophobic effect (Figure 2b).
To determine the potential utility of A4B4 in biological applications, its solubility was examined in phosphate-buffered saline (PBS) at neutral pH. Unfortunately, the cage was found to be insoluble in this medium (Figure 2c). This finding suggests that while the presence of secondary amino groups in organic cages enhances solubility in acidic conditions through protonation, this effect alone is insufficient to confer solubility at neutral pH. This may explain why the study of recognition properties of reduced organic cages has been limited to organic solvents.42
In addition to increased stability, covalent locking through imine reduction offers the advantage of forming secondary amino groups that can serve as valuable sites for binding additional functionalities through an extra postassembly modification.43 Until now, this strategy has exclusively demonstrated utility in the advancement of shape-persistent porous materials.23,25 We opted to investigate the potential use of these amino groups to address the solubility constraints of A4B4. Specifically, we chose to attach positively charged pendants, aiming to not only impart water solubility but also enhance the cage’s recognition abilities toward anionic molecules. Consequently, we synthesized a novel derivative, referred to as p-A4B4 (Figure 3).
Figure 3.
Synthesis and characterization of p-A4B4. (a) Preparation of the molecular cage. (b) HPLC chromatogram obtained for purified p-A4B4. The conditions of the analysis went from 95% of water to 95% of acetonitrile, both with 0.1% of TFA, in 40 min. (c) Predicted (purple profile) and obtained (red lines) MS spectra for p-A4B4. Spectrum shows m/z for C216H311N28O12 [M+7TFA]5+.
2.2. Synthesis and Characterization of p-A4B4 Cage
The synthesis of p-A4B4 was accomplished through a straightforward method commonly employed in the synthesis of peptides.44 The process involved incubating A4B4 with an excess of the molecule 3-carboxy-N,N,N-trimethylpropan-1-aminium hexafluorophosphate while utilizing the coupling agent hexafluorophosphate azabenzotriazole tetramethyl uronium (HATU). This resulted in the formation of an amide bond between the secondary amino groups of A4B4 and the carboxylic group of the cationic molecule, ultimately yielding the desired product, p-A4B4. 1H NMR spectroscopy at room temperature displayed broad peaks in both water and DMSO, which were not useful for its characterization (Figures S12 and S13). This was anticipated due to the restricted rotation caused by the functionalization of the amino groups. 1H NMR spectrum in water at 90 °C leads to more defined signals, whose integrals agreed with the number of protons in p-A4B4 (Figure S14). To validate its identity and purity, conventional techniques used in biomolecule analysis, such as those for peptides, were employed. High-resolution mass spectrometry was utilized for identification (Figure 3). Reverse-phase high-performance liquid chromatography (HPLC) was employed for both purification (preparative HPLC) and purity assessment (analytical one) due to its ability to separate reaction intermediates in the formation of p-A4B4 (Figure S9).
In contrast to its precursor, p-A4B4 showed a solubility of around 2.5 mg/mL in both water and PBS buffer at neutral pH. This characteristic prompted us to investigate its recognition abilities in aqueous environments. p-A4B4 possesses a hydrophobic cavity surrounded by 12 positively charged pendants, making it a promising candidate for the recognition of hydrophobic anions. On this basis and the relevance of surfactants, we were motivated to investigate anionic surfactants as plausible guests.
2.3. Interaction between p-A4B4 and SDS Surfactant
A fascinating outcome emerged when an aqueous solution of sodium dodecyl sulfate (SDS, 1 mM) was titrated with p-A4B4. As depicted in Figure 4, we observed the disappearance of the SDS signal and the concurrent formation of a solid within the NMR tube. What made this observation even more intriguing was the fact that a mere 0.04 equiv of the cage sufficed to trigger the precipitation of all of the SDS molecules. To quantify the reduction in the SDS signal, we conducted a titration using 1-ethyl-3-methylimidazolium chloride as an internal standard. Remarkably, it was observed that the reduction in SDS concentration exhibited a linear relationship with the addition of the cage with a slope of approximately −24 (Figure 4b). This finding suggests that each cage, possessing a charge of +12, has the capacity to induce the precipitation of 24 anionic SDS molecules. Essentially, this indicates the precipitation ability of two surfactant molecules per positive charge within the cage. It is crucial to emphasize that the CMC of SDS is approximately 8 mM.45 Therefore, SDS molecules do not form micelles at the concentration employed in the titration.
Figure 4.
Interaction of p-A4B4 with SDS. (a) 1H NMR spectra for the titration of SDS (1 mM) with cage p-A4B4 (from 0 to 0.04 equivalents) in D2O, where the complete disappearance of the surfactant signal is observed. (b) Linear fit for the titration, where the equivalents of p-A4B4 are represented vs the surfactant’s methyl group integral. (c) Photo of the NMR tubes showing the precipitate formed after the addition of 0.04 equiv of p-A4B4 to the solution of SDS (1 mM).
To apply p-A4B4 effectively for the removal of SDS molecules in practical applications, this cage must induce precipitation even in the presence of salts. To explore this, we prepared a solution containing SDS (1 mM) in a 10 mM PBS solution using deuterated water. Upon the addition of 0.04 equiv of the cage, all of the surfactants were removed, mirroring the outcome observed in pure water (Figure S24).
To assess the specificity of this phenomenon, we conducted similar experiments involving 1H NMR titrations in D2O with hydrophobic anions distinct from the surfactant molecules. Our selection comprised negatively charged aromatic compounds with varying numbers of sulfonate groups, which included tetra(4-sulfonatophenyl)porphyrin, 8-hydroxypyrene-1,3,6-trisulfonate, hexafluorophosphate, and p-toluene sulfonate (Figures S16–S19). Remarkably, no precipitation of the guest molecules was observed even when the syringe was used in a one-to-one molar ratio.
2.4. Exploring the Interaction of p-A4B4 with Other Surfactants
The previous observations with hydrophobic anions suggested that precipitation is not solely attributed to electrostatic interactions; rather, the aliphatic chain of SDS plays a significant role. To explore the relationship between the aliphatic chain and precipitation phenomena, we investigated two SDS analogues with aliphatic chains of varying lengths, both of which are negatively charged sulfonate surfactants. The initial analogue comprises a sulfonate headgroup in conjunction with a 16-carbon aliphatic chain, named 16C, exhibiting a CMC of 0.22 mM.46 In contrast, the second analogue possesses a shorter tail comprising only six carbons, designated as 6C. While this analogue can serve as a cosurfactant, its abbreviated aliphatic tail restricts its ability to independently self-assemble into micelles at concentrations lower than 0.5 M.47
When the 16C surfactant is subjected to 1H NMR titration with p-A4B4, it exhibited behavior analogous to that of SDS, resulting in precipitation (Figure 5a). In this specific scenario, it was observed that to completely precipitate the surfactant, 0.05 equiv of the cage was required, slightly exceeding the 0.04 equiv needed for SDS. It is notable that the precipitation pattern exhibited by p-A4B4 displayed a more pronounced sigmoidal shape compared to that observed with SDS (Figure 5d). These effects could stem from the surfactant’s higher propensity to form micelles in comparison to SDS. Conversely, the 6C exhibited behavior reminiscent of aromatic hydrophobic anions, as evidenced by 1H NMR spectroscopy, which revealed interactions but no precipitation (Figure 5b). During the titration with p-A4B4, a discernible trend was evident in the aliphatic signals of 6C; they exhibited a consistent upfield shift and broadening, maintaining a constant integral.
Figure 5.
1H NMR spectra (300 MHz, 298 K) for the titration of p-A4B4 and three different surfactants (1 mM) with p-A4B4 in D2O. (a) 16C, (b) 6C, and (c) oleate. (d) Representation of the data obtained from the titration of the former surfactants, showing the decrease in the signal corresponding to the terminal methyl group of each one. The represented data were the result of three different titrations for each surfactant. (e) Structures of the surfactants that did not show interaction with p-A4B4: the neutral n-dodecyl-β-d-maltoside (left) and the positively charged CTAB (right).
At this point, we decided to explore how general the interaction of p-A4B4 was with surfactants. Consequently, we undertook an evaluation of this cage’s interaction with sodium oleate. In contrast to previously examined surfactants, oleate features a carboxylate moiety as its polar headgroup, while its aliphatic tail comprises 18 carbon atoms and a single unsaturation. Despite its distinct chemical structure compared to SDS, the outcomes closely resembled those observed with prior surfactants, demonstrating complete precipitation upon the addition of 0.05 equiv of p-A4B4 (Figure 5c). Subsequently, we shifted our focus to positively charged surfactants, particularly cetyltrimethylammonium bromide (CTAB), which has a 16-carbon aliphatic chain and a CMC of 1.0 mM.33 Remarkably, p-A4B4 did not exhibit any discernible interaction with CTAB by NMR (Figure S30). Finally, we evaluated a neutral surfactant, n-dodecyl-β-D-maltoside, featuring a 12-carbon aliphatic tail and a neutral polar head consisting of a disaccharide. However, as observed through 1H NMR titration, there was no interaction or precipitation, mirroring the results obtained with CTAB (Figure S32).
These experiments underscore that the interaction of p-A4B4 with other molecules is predominantly driven by the electrostatic attraction, as it only exhibited an interaction with anionic molecules. However, the precipitation phenomenon is specific to anionic surfactants. It is noteworthy that this precipitation occurs at concentrations significantly lower than the surfactant CMC.
2.5. Understanding Cage–Surfactant Interaction
To gain a microscopic understanding of cage–surfactant interactions, we performed molecular dynamics (MD) simulations of p-A4B4 in the presence of different surfactants in an aqueous solution. We specifically examined interactions with SDS, CTAB, and 6C to evaluate effects related to the ionic character and aliphatic tail length. Two scenarios were considered. In the first, systems featured a single p-A4B4 in the presence of 48 surfactants to evaluate the nature of p-A4B4/surfactant interactions. In the second, the systems featured three p-A4B4 and surfactants to assess the propensity for precipitation via aggregation of multiple p-A4B4.
Figure 5a demonstrates that p-A4B4 exhibits a significantly higher affinity for SDS compared to that of CTAB or 6C. Initially, we conducted simulations with randomly distributed surfactants in a simulation cell, monitored their distances from p-A4B4 over time, and employed clustering analysis to evaluate binding. These simulations showed that approximately 25–31 SDS molecules promptly bind to p-A4B4, while the number of bound CTAB and 6C surfactants plateaus at lower values. The increased binding of 6C compared to that of CTAB and the overall number of bound SDS align well with experimental findings. Because these simulations featured surfactant concentrations above the CMC, surfactants often formed small aggregates that would subsequently adsorb to p-A4B4, as evident in the discrete jumps in Figure 6a. To mimic interactions under more diluted conditions, additional simulations gradually introduced SDS to the cell, yet SDS continued to bind effectively to p-A4B4 (SDS* in Figure 6a). These findings suggest that the simulations accurately capture the essential physics of surfactant/p-A4B4 systems, such as the relative affinity of p-A4B4 toward anionic surfactants and the formation of aggregates under diluted conditions.
Figure 6.
MD simulations of p-A4B4 and the surfactants. (a) Number of surfactants in the vicinity of p-A4B4 as a function of time. SDS* represents the gradual introduction of SDS into the cell to emulate the dilution conditions. (b) The relative frequency or proportion of charged (ionic, left) and neutral (aliphatic, right) groups of surfactant molecules interacting with inner, outer, or cationic regions of p-A4B4. Surfactant interactions with p-A4B4 are defined if any atoms between the two groups are within 3.0 Å. Surfactants that are not in the vicinity of p-A4B4 are labeled “free”. The inset shows the decomposition of regions defined for p-A4B4, with the inner, outer, and cationic regions highlighted in purple, orange, and green, respectively. (c) Representative simulation snapshot of SDS interacting with p-A4B4. The anionic headgroup is shown in red, while the aliphatic group is shown in blue. (d) Fraction of surfactant molecules assigned to the largest aggregate for simulations with multiple p-A4B4 units. Insets show p-A4B4 molecules and their attached surfactants.
The enhanced binding of anionic surfactants led to the hypothesis that surfactants specifically interact with cationic portions of p-A4B4. To explore this, we monitored how often the ionic and aliphatic groups of adsorbed surfactants were interacting with the ″inner″ (derived from A4B4), “outer” (the neutral part of the pendants), and “cationic” (the positively charged quaternary ammonium) regions of p-A4B4. To characterize the relative proportion of such interactions, we define “interaction frequency” as the normalized number of occurrences where any atoms from the aliphatic or ionic portions of adsorbed surfactants p-A4B4 were within a 3.0 Å radial cutoff of any atoms from a specified region of p-A4B4. Figure 6b reveals that the ionic group of anionic surfactants indeed preferentially interacts with the cationic regions of p-A4B4. However, there are also a substantial number of interactions between aliphatic groups and all regions of p-A4B4. While the behavior is relatively similar between SDS and C6, interactions between CTAB and p-A4B4 are less specific, particularly for its ionic group. Across all surfactants, the aliphatic tails exhibit some preference toward the inner region of p-A4B4. Taken together, these results suggest that both electrostatic and dispersion interactions underlie the functionality of p-A4B4, as selective binding is principally driven by p-A4B4’s cationic functionalization, while the hydrophobic core region offers additional stabilizing interactions with aliphatic groups. In summary, these results elucidate why a single cage can precipitate 24 molecules of SDS. The interaction with surfactants takes place on the exterior of the cage rather than through encapsulation within the cage cavity. As a result, the cage can accumulate a substantial number of surfactant molecules on its surface.
We next examined how the enhanced binding of anionic surfactants might manifest in the observed precipitation. For this, single p-A4B4/surfactant complexes from previous simulations involving SDS and C6 were initialized in proximity and surrounded by additional surfactants to seed an aggregate of multiple p-A4B4; CTAB was not considered due to its prior minimal association with a single p-A4B4. Simulations were then run to assess whether such aggregates would remain stable. Figure 5d illustrates contrasting behavior between surfactants in terms of the multicage assembly of p-A4B4. Although both SDS and 6C initially display large aggregates with multiple p-A4B4 and most of the surfactants by virtue of the initialization procedure, such aggregates gradually dissipate for 6C while they remain stable in the presence of SDS. Importantly, this observation facilitates comprehension regarding the exclusive ability of surfactants to enable multicage assembly. We hypothesize that this assembly process precedes subsequent precipitation events.
3. Experimental Section
3.1. Synthesis of A4B4 Cage
A solution of tris(4-formylphenyl)amine A (100 mg, 0.303 mmol, 4.0 equiv) and (2,4,6-trimethylbenzene-1,3,5-triyl)trimethanamine B (65 mg, 0.602 mmol, 4.1 equiv) dissolved in CHCl3 (80 mL) was heated at 60 °C for 4 days (based on the protocol previously described by Cooper’s group[1]). The reaction was allowed to cool to room temperature, and 80 mL of MeOH and 30 mg of NaBH4 were added. The solution was left stirring at room temperature overnight. Then, the solvent was removed under vacuo and 8 mL of 1 M NaOH was added. The obtained suspension was centrifuged, and the solid was washed 3 times with water. The resulting solid was dried, and the final compound was obtained as a pale-yellow solid in a quantitative yield.
3.2. Synthesis of p-A4B4
3-Carboxy-N,N,N-trimethylpropan-1-aminium hexafluorophosphate (75 mg, 15 equiv), HATU (146 mg, 15 equiv), and triethylamine (320 μL, 30 equiv) were dissolved in 5 mL of DMF and stirred at room temperature until the apparition of a yellowish color (around 5 min). Then, A4B4 was added to the mixture (50 mg, 1 equiv). The resulting yellow solution was left stirring at room temperature for 1 h. Purification was done by HPLC, and 52 mg of product was obtained as a white solid (p-A4B4, 58%).
3.3. Purification and Characterization Techniques
HPLC purification was carried out using a Fortis C18 semipreparative column (5 μm, size: 250 × 10 mm2) with phase A/phase B gradients (phase A: H2O with 0.1% trifluoroacetic acid; phase B: acetonitrile with 0.1% trifluoroacetic acid). Proton nuclear magnetic resonance (1H NMR), carbon nuclear magnetic resonance (13C NMR), and fluorine nuclear magnetic resonance (19F-NMR) spectra were measured on a Bruker AVANCE III HD 300 nuclear magnetic resonance spectrometer or a Bruker AVANCE III HD 500 nuclear magnetic resonance spectrometer and were referenced relating to residual proton resonances in CDCl3 (at δ 7.24 ppm), D2O (at δ 4.79 ppm), MeOD (at δ 3.31 ppm), and CD3SO (at δ 2.50 ppm). Carbons are referenced relating to residual carbon resonances in MeOD (at δ 77.23 ppm). 1H NMR splitting patterns are assigned as singlet (s), doublet (d), triplet (t), or quartet (q). Splitting patterns that could not be readily interpreted are designated as multiplet (m). All chemical shift (δ) values are given in parts per million. All coupling constants are quoted in Hz. All 13C and 19F spectra are proton-decoupled unless otherwise stated. Mass spectra were recorded in positive mode using an electrospray ionization technique (ESI) in an LC-Q-q-TOF Applied Biosystems QStar Elite mass spectrometer located at the Research Support Services, SAI (Servizos de Apoio á Investigación), of the University of A Coruña. The predicted mass spectra were calculated using mMass Software, version 5.5.0.
3.4. MD Simulations
All MD simulations were conducted using the LAMMPS simulation package (stable release 23 Jun 2022). Force field parameters for the inner region of p-A4B4 were taken from the all-atom optimized potentials for liquid simulations (OPLS-AA) force field, while parameters for the outer and cationic regions of p-A4B4 were taken from the Canongia Lopes & Padua (CL&P) force field. Parameters for one atom type, an aromatic carbon bonded to a tertiary amine, were not present in either force field. This atom type was assigned a partial charge to maintain a +12 formal charge on p-A4B4, and OPLS-AA parameters for a standard aromatic carbon were used for all other interactions. Force field parameters for the neutral portions of surfactants were taken from the OPLS-AA force field, while parameters for the charged head groups were taken from the CL&P force field. All parameters for counterions were obtained from the CL&P force field. Water was modeled using the rigid TIP4P model. Real-space nonbonded interactions were truncated at 12.0 Å. Long-range electrostatics were handled using the particle–particle–particle–mesh Ewald summation method with a convergence accuracy of 10–5.
Cubic simulation cells were used for all simulations, with periodic boundary conditions applied in every dimension. Simulations containing a single p-A4B4 molecule used a box length of 90 Å, while simulations containing three p-A4B4 molecules used a box length of 130 Å. Simulation cells were initially prepared by inserting the desired molecules into their appropriate counterions. Sodium cations were used as the counterions for anionic surfactants, bromine anions were used as the counterions for CTAB, and 12 trifluoroacetic acid molecules were used as counterions for p-A4B4. All systems were solvated with randomly inserted water molecules to achieve a density of 1000 kg/m3. Water molecules were not included if they could not be placed at a distance of at least 1.3 Å from other molecules in the system.
All systems underwent 10,000 steps of energy minimization. Systems were initially relaxed for 50 ps at 300 K using a Nosé–Hoover thermostat with a damping constant of 100 fs. The systems were then subject to a brief equilibration for 100 ps at 300 K and 1 bar by using a Nosé–Hoover thermostat and barostat. Given that rigid TIP4P water required separate treatment of dynamics, NPT equilibration coupled only water molecules to the Nosé–Hoover barostat, while all remaining molecules were coupled to a Nosé–Hoover thermostat. All production-run simulations used the same conditions as those used for the NPT equilibration. Equations of motion were evolved using a velocity-Verlet integration scheme with a 1 fs time step.
4. Conclusions
We have achieved precise modulation of the solubility and host–guest properties in molecular cages originating from imine self-assembly. This accomplishment is attributed to a dual-step postassembly refinement: first, a covalent locking mechanism involving the reduction of imine bonds and, second, the harnessing of reactivity in the generated secondary amino groups to bind positively charged pendant groups. This modification not only rendered the cage water-soluble but also endowed it with a tailored affinity for anionic surfactant that enables its complete removal.
Acknowledgments
This research was supported by the Xunta de Galicia under Project Proxectos de Excelencia (No. ED431F 2022/02). A.C. (RYC2020-030183-I and PID2021-127002NA-I00) and J.M. (RYC2019-027842-I and PID2020-117885GA-I00) acknowledge financial support by their grants funded by MCIN/AEI/10.13039/501100011033 and “ESF Investing in your future”. M.A.W. acknowledges support from the National Science Foundation under Grant No. 2237470. Q.M.G. acknowledges support from the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE-2039656. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Data Availability Statement
Simulation files needed to reproduce the MD simulations are available at https://github.com/webbtheosim/surfactant-containers.
Supporting Information Available
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.chemmater.4c01808.
Detailed experimental procedures; characterization (NMR spectroscopy, high-performance liquid chromatography [HPLC], HRMS spectrometry); and computational procedures (PDF)
Author Contributions
J.M. and A.C. conceived the project and designed the experiments. M.A.W. conceptualized simulations and theoretical calculations. M.P-F. and A.B.L. conducted the experimental part, and Q.M.G. performed the simulations and theoretical calculations. J.M., A.C., M.P-F., M.A.W., and Q.M.G. cowrote the manuscript. All authors discussed and analyzed the results.
The authors declare the following competing financial interest(s): J.M., A.C., and M.P-F. are the inventors of a pending Spanish patent application.
Supplementary Material
References
- McTernan C. T.; Davies J. A.; Nitschke J. R. Beyond Platonic: How to Build Metal–Organic Polyhedra Capable of Binding Low-Symmetry, Information-Rich Molecular Cargoes. Chem. Rev. 2022, 122 (11), 10393–10437. 10.1021/acs.chemrev.1c00763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Montà-González G.; Sancenón F.; Martínez-Máñez R.; Martí-Centelles V. Purely Covalent Molecular Cages and Containers for Guest Encapsulation. Chem. Rev. 2022, 122 (16), 13636–13708. 10.1021/acs.chemrev.2c00198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang X.; Ullah Z.; Stoddart J. F.; Yavuz C. T. Porous Organic Cages. Chem. Rev. 2023, 123 (8), 4602–4634. 10.1021/acs.chemrev.2c00667. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Genov G. R.; Takezawa H.; Hayakawa H.; Fujita M. Tetradehydro-Diels–Alder Reactions of Flexible Arylalkynes via Folding Inside a Molecular Cage. J. Am. Chem. Soc. 2023, 145 (31), 17013–17017. 10.1021/jacs.3c06301. [DOI] [PubMed] [Google Scholar]
- Percástegui E. G.; Ronson T. K.; Nitschke J. R. Design and Applications of Water-Soluble Coordination Cages. Chem. Rev. 2020, 120 (24), 13480–13544. 10.1021/acs.chemrev.0c00672. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lewis J. E. M. Developing Sophisticated Microenvironments in Metal-Organic Cages. Trends Chem. 2023, 5 (10), 717–719. 10.1016/j.trechm.2023.06.003. [DOI] [Google Scholar]
- Küng R.; Pausch T.; Rasch D.; Göstl R.; Schmidt B. M. Mechanochemical Release of Non-Covalently Bound Guests from a Polymer-Decorated Supramolecular Cage. Angew. Chem., Int. Ed. 2021, 60 (24), 13626–13630. 10.1002/anie.202102383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fernández-Caro H.; Lostalé-Seijo I.; Martínez-Calvo M.; Mosquera J.; Mascareñas J. M.; Montenegro J. Supramolecular Caging for Cytosolic Delivery of Anionic Probes. Chem. Sci. 2019, 10 (39), 8930–8938. 10.1039/C9SC02906K. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ghosh C.; Ali L. M. A.; Bessin Y.; Clément S.; Richeter S.; Bettache N.; Ulrich S. Self-Assembled Porphyrin–Peptide Cages for Photodynamic Therapy. Org. Biomol. Chem. 2024, 22 (7), 1484–1494. 10.1039/D3OB01887C. [DOI] [PubMed] [Google Scholar]
- Montà-González G.; Ortiz-Gómez E.; López-Lima R.; Fiorini G.; Martínez-Máñez R.; Martí-Centelles V. Water-Soluble Molecular Cages for Biological Applications. Molecules 2024, 29 (7), 1621 10.3390/molecules29071621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Piskorz T. K.; Martí-Centelles V.; Spicer R. L.; Duarte F.; Lusby P. J. Picking the Lock of Coordination Cage Catalysis. Chem. Sci. 2023, 14 (41), 11300–11331. 10.1039/D3SC02586A. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ham R.; Nielsen C. J.; Pullen S.; Reek J. N. H. Supramolecular Coordination Cages for Artificial Photosynthesis and Synthetic Photocatalysis. Chem. Rev. 2023, 123 (9), 5225–5261. 10.1021/acs.chemrev.2c00759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li X.; Lin W.; Sharma V.; Gorecki R.; Ghosh M.; Moosa B. A.; Aristizabal S.; Hong S.; Khashab N. M.; Nunes S. P. Polycage Membranes for Precise Molecular Separation and Catalysis. Nat. Commun. 2023, 14 (1), 3112 10.1038/s41467-023-38728-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ghosh A.; Pruchyathamkorn J.; Espinosa C. F.; Nitschke J. R. Light-Driven Purification of Progesterone from Steroid Mixtures Using a Photoresponsive Metal–Organic Capsule. J. Am. Chem. Soc. 2024, 146 (4), 2568–2573. 10.1021/jacs.3c11005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang D.; Ronson T. K.; Zou Y.-Q.; Nitschke J. R. Metal–Organic Cages for Molecular Separations. Nat. Rev. Chem. 2021, 5 (3), 168–182. 10.1038/s41570-020-00246-1. [DOI] [PubMed] [Google Scholar]
- Acharyya K.; Mukherjee P. S. Organic Imine Cages: Molecular Marriage and Applications. Angew. Chem., Int. Ed. 2019, 58 (26), 8640–8653. 10.1002/anie.201900163. [DOI] [PubMed] [Google Scholar]
- Yang Z.; Esteve F.; Antheaume C.; Lehn J.-M. Dynamic Covalent Self-Assembly and Self-Sorting Processes in the Formation of Imine-Based Macrocycles and Macrobicyclic Cages. Chem. Sci. 2023, 14 (24), 6631–6642. 10.1039/D3SC01174G. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lu Y.-L.; Zhang X.-D.; Qin Y.-H.; Song J.-Q.; Huang Y.-H.; Liu C.-H.; Chen J.-J.; Xu H.-S.; Pan M.; Su C.-Y. A Robust Protein-Mimicking Metallo-Amine Cage Showing Proton-Driven Allostery with Water as the Effector. Chem 2023, 9 (8), 2144–2160. 10.1016/j.chempr.2023.03.019. [DOI] [Google Scholar]
- Koo J.; Kim I.; Kim Y.; Cho D.; Hwang I.-C.; Mukhopadhyay R. D.; Song H.; Ko Y. H.; Dhamija A.; Lee H.; Hwang W.; Kim S.; Baik M.-H.; Kim K. Gigantic Porphyrinic Cages. Chem 2020, 6 (12), 3374–3384. 10.1016/j.chempr.2020.10.002. [DOI] [Google Scholar]
- Wagner P.; Rominger F.; Zhang W.-S.; Gross J. H.; Elbert S. M.; Schröder R. R.; Mastalerz M. Chiral Self-Sorting of Giant Cubic [8 + 12] Salicylimine Cage Compounds. Angew. Chem., Int. Ed. 2021, 60 (16), 8896–8904. 10.1002/anie.202016592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lei Y.; Chen Q.; Liu P.; Wang L.; Wang H.; Li B.; Lu X.; Chen Z.; Pan Y.; Huang F.; Li H. Molecular Cages Self-Assembled by Imine Condensation in Water. Angew. Chem., Int. Ed. 2021, 60 (9), 4705–4711. 10.1002/anie.202013045. [DOI] [PubMed] [Google Scholar]
- Chen Y.; Tang H.; Chen H.; Li H. Self-Assembly via Condensation of Imine or Its N-Substituted Derivatives. Acc. Chem. Res. 2023, 56 (20), 2838–2850. 10.1021/acs.accounts.3c00475. [DOI] [PubMed] [Google Scholar]
- Liu M.; Zhang L.; Little M. A.; Kapil V.; Ceriotti M.; Yang S.; Ding L.; Holden D. L.; Balderas-Xicohténcatl R.; He D.; Clowes R.; Chong S. Y.; Schütz G.; Chen L.; Hirscher M.; Cooper A. I. Barely Porous Organic Cages for Hydrogen Isotope Separation. Science 2019, 366 (6465), 613–620. 10.1126/science.aax7427. [DOI] [PubMed] [Google Scholar]
- He A.; Jiang Z.; Wu Y.; Hussain H.; Rawle J.; Briggs M. E.; Little M. A.; Livingston A. G.; Cooper A. I. A Smart and Responsive Crystalline Porous Organic Cage Membrane with Switchable Pore Apertures for Graded Molecular Sieving. Nat. Mater. 2022, 21 (4), 463–470. 10.1038/s41563-021-01168-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mastalerz M. Porous Shape-Persistent Organic Cage Compounds of Different Size, Geometry, and Function. Acc. Chem. Res. 2018, 51 (10), 2411–2422. 10.1021/acs.accounts.8b00298. [DOI] [PubMed] [Google Scholar]
- Lin W.; Zhang G.; Zhu X.; Yu P.; Alimi L. O.; Moosa B. A.; Sessler J. L.; Khashab N. M. Caging the Hofmeister Effect by a Biomimetic Supramolecular Receptor. J. Am. Chem. Soc. 2023, 145 (23), 12609–12616. 10.1021/jacs.3c01849. [DOI] [PubMed] [Google Scholar]
- Qin Y.; Ling Q.-H.; Wang Y.-T.; Hu Y.-X.; Hu L.; Zhao X.; Wang D.; Yang H.-B.; Xu L.; Tang B. Z. Construction of Covalent Organic Cages with Aggregation-Induced Emission Characteristics from Metallacages for Mimicking Light-Harvesting Antenna. Angew. Chem., Int. Ed. 2023, 62 (36), e202308210 10.1002/anie.202308210. [DOI] [PubMed] [Google Scholar]
- Chakraborty D.; Mukherjee P. S. Recent Trends in Organic Cage Synthesis: Push towards Water-Soluble Organic Cages. Chem. Commun. 2022, 58 (37), 5558–5573. 10.1039/D2CC01014C. [DOI] [PubMed] [Google Scholar]
- Chen Q.; Li Z.; Lei Y.; Chen Y.; Tang H.; Wu G.; Sun B.; Wei Y.; Jiao T.; Zhang S.; Huang F.; Wang L.; Li H. The Sharp Structural Switch of Covalent Cages Mediated by Subtle Variation of Directing Groups. Nat. Commun. 2023, 14 (1), 4627 10.1038/s41467-023-40255-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hong S.; Rohman M. R.; Jia J.; Kim Y.; Moon D.; Kim Y.; Ko Y. H.; Lee E.; Kim K. Porphyrin Boxes: Rationally Designed Porous Organic Cages. Angew. Chem., Int. Ed. 2015, 54 (45), 13241–13244. 10.1002/anie.201505531. [DOI] [PubMed] [Google Scholar]
- Benke B. P.; Kirschbaum T.; Graf J.; Gross J. H.; Mastalerz M. Dimeric and Trimeric Catenation of Giant Chiral [8 + 12] Imine Cubes Driven by Weak Supramolecular Interactions. Nat. Chem. 2023, 15 (3), 413–423. 10.1038/s41557-022-01094-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- González-Rubio G.; Mosquera J.; Kumar V.; Pedrazo-Tardajos A.; Llombart P.; Solís D. M.; Lobato I.; Noya E. G.; Guerrero-Martínez A.; Taboada J. M.; Obelleiro F.; MacDowell L. G.; Bals S.; Liz-Marzán L. M. Micelle-Directed Chiral Seeded Growth on Anisotropic Gold Nanocrystals. Science 2020, 368 (6498), 1472–1477. 10.1126/science.aba0980. [DOI] [PubMed] [Google Scholar]
- Su L.; Mosquera J.; Mabesoone M. F. J.; Schoenmakers S. M. C.; Muller C.; Vleugels M. E. J.; Dhiman S.; Wijker S.; Palmans A. R. A.; Meijer E. W. Dilution-Induced Gel-Sol-Gel-Sol Transitions by Competitive Supramolecular Pathways in Water. Science 2022, 377 (6602), 213–218. 10.1126/science.abn3438. [DOI] [PubMed] [Google Scholar]
- Badmus S. O.; Amusa H. K.; Oyehan T. A.; Saleh T. A. Environmental Risks and Toxicity of Surfactants: Overview of Analysis, Assessment, and Remediation Techniques. Environ. Sci. Pollut. Res. 2021, 28 (44), 62085–62104. 10.1007/s11356-021-16483-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- dos Santos Silva Araújo L.; Lazzara G.; Chiappisi L. Cyclodextrin/Surfactant Inclusion Complexes: An Integrated View of Their Thermodynamic and Structural Properties. Adv. Colloid Interface Sci. 2021, 289, 102375 10.1016/j.cis.2021.102375. [DOI] [PubMed] [Google Scholar]
- Hao L.-S.; Wang H.-X.; Wang Y.-S.; Meng Y.-Q.; Nan Y.-Q. Inclusion Complexation of Surfactant with β-Cyclodextrin and Its Effect on the Mixed Micellization of Cationic/Anionic Surfactants. Colloids Surf., A 2023, 668, 131437 10.1016/j.colsurfa.2023.131437. [DOI] [Google Scholar]
- He Y.; Zhou J.; Li Y.; Yang Y.-D.; Sessler J. L.; Chi X. Fluorinated Nonporous Adaptive Cages for the Efficient Removal of Perfluorooctanoic Acid from Aqueous Source Phases. J. Am. Chem. Soc. 2024, 146 (9), 6225–6230. 10.1021/jacs.3c14213. [DOI] [PubMed] [Google Scholar]
- He Y.; Luo D.; Lynch V. M.; Ahmed M.; Sessler J. L.; Chi X. Porous Adaptive Luminescent Metallacage for the Detection and Removal of Perfluoroalkyl Carboxylic Acids. Chem 2023, 9 (1), 93–101. 10.1016/j.chempr.2022.09.004. [DOI] [Google Scholar]
- Wang H.; Jin Y.; Sun N.; Zhang W.; Jiang J. Post-Synthetic Modification of Porous Organic Cages. Chem. Soc. Rev. 2021, 50 (16), 8874–8886. 10.1039/D0CS01142H. [DOI] [PubMed] [Google Scholar]
- Roberts D. A.; Pilgrim B. S.; Nitschke J. R. Covalent Post-Assembly Modification in Metallosupramolecular Chemistry. Chem. Soc. Rev. 2018, 47 (2), 626–644. 10.1039/C6CS00907G. [DOI] [PubMed] [Google Scholar]
- Greenaway R. L.; Santolini V.; Bennison M. J.; Alston B. M.; Pugh C. J.; Little M. A.; Miklitz M.; Eden-Rump E. G. B.; Clowes R.; Shakil A.; Cuthbertson H. J.; Armstrong H.; Briggs M. E.; Jelfs K. E.; Cooper A. I. High-Throughput Discovery of Organic Cages and Catenanes Using Computational Screening Fused with Robotic Synthesis. Nat. Commun. 2018, 9 (1), 2849 10.1038/s41467-018-05271-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Acharyya K.; Mukherjee P. S. A Fluorescent Organic Cage for Picric Acid Detection. Chem. Commun. 2014, 50 (99), 15788–15791. 10.1039/C4CC06225F. [DOI] [PubMed] [Google Scholar]
- Acharyya K.; Mukherjee P. S. Postsynthetic Exterior Decoration of an Organic Cage by Copper(I)-Catalysed A3-Coupling and Detection of Nitroaromatics. Chem. - Eur. J. 2015, 21 (18), 6823–6831. 10.1002/chem.201406581. [DOI] [PubMed] [Google Scholar]
- McKnelly K. J.; Sokol W.; Nowick J. S. Anaphylaxis Induced by Peptide Coupling Agents: Lessons Learned from Repeated Exposure to HATU, HBTU, and HCTU. J. Org. Chem. 2020, 85 (3), 1764–1768. 10.1021/acs.joc.9b03280. [DOI] [PubMed] [Google Scholar]
- Stanley F. E.; Warner A. M.; Schneiderman E.; Stalcup A. M. Rapid Determination of Surfactant Critical Micelle Concentrations Using Pressure-Driven Flow with Capillary Electrophoresis Instrumentation. J. Chromatogr. A 2009, 1216 (47), 8431–8434. 10.1016/j.chroma.2009.09.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kumar H.; Kaur G. Deciphering Aggregation Behavior and Thermodynamic Properties of Anionic Surfactant Sodium Hexadecyl Sulfate in Aqueous Solutions of Ionic Liquids [C5mim][Br] and [C6mim][Br]. J. Mol. Liq. 2020, 298, 111949 10.1016/j.molliq.2019.111949. [DOI] [Google Scholar]
- Annunziata O.; Costantino L.; D’Errico G.; Paduano L.; Vitagliano V. Transport Properties for Aqueous Sodium Sulfonate Surfactants: 2. Intradiffusion Measurements: Influence of the Obstruction Effect on the Monomer and Micelle Mobilities. J. Colloid Interface Sci. 1999, 216 (1), 16–24. 10.1006/jcis.1999.6269. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Simulation files needed to reproduce the MD simulations are available at https://github.com/webbtheosim/surfactant-containers.