Abstract
Nanocrystal gels can be responsive, tunable materials, but designing their structure and properties is challenging. By using reversibly bonded molecular linkers, gelation can be realized under conditions predicted by thermodynamics. However, simulations have offered the only microscopic insights, with no experimental means to monitor linking leading to gelation. We introduce a metal coordination linkage with a distinct optical signature allowing us to quantify linking in situ and establish structural and thermodynamic bases for assembly. Because of coupling between linked indium tin oxide nanocrystals, their infrared absorption shifts abruptly at a chemically tunable gelation temperature. We quantify bonding spectroscopically and use molecular simulation to understand temperature-dependent bonding motifs, revealing that gel formation is governed by reaching a critical number of effective links that extend the nanocrystal network. Microscopic insights from our colorimetric linking chemistry enable switchable gels based on thermodynamic principles, opening the door to rational design of programmable nanocrystal networks.
Metal coordination bonds and plasmonic coupling reveal the thermodynamics underlying switchable colloidal metal oxide gels.
INTRODUCTION
Colloidal inorganic nanocrystals exhibit distinctive properties, such as localized surface plasmon resonance (LSPR), that can be synthetically tuned by varying size, shape, and elemental composition of their inorganic cores, making nanocrystals attractive building blocks for functional materials (1–3). Nanocrystal assemblies further display collective properties not observed in nanocrystal dispersions, such as LSPR-LSPR coupling, motivating the development of switchable assemblies in which properties can be dynamically modulated based on structure (4–9).
Nanocrystal gels are low-density, porous networks with collective properties that depend on structure (10–12). Early approaches to form gels relied on destabilization of nanocrystal colloids by partial stripping of surface-bound ligands (13–16). The resulting gels, formed by nonequilibrium aggregation, displayed assembly-dependent optical and catalytic properties, but offered limited opportunities for structural prediction and control (17). Alternatively, much effort has focused on programmable assembly of nanocrystals functionalized with ligands that terminate in supramolecular recognition groups (18, 19). These approaches expand the toolbox of nanocrystal assemblies responsive to chemical and physical stimuli. Still, direct bonding between surface-bound ligands makes it challenging to control structure, often resulting in dense, poorly defined aggregates.
Linking neighboring nanocrystals instead with small molecules offers a convenient, statistical approach to improve structural control in nanocrystal gels (12, 20). Past studies explored various types of linkers including metal ions (21, 22), DNA strands (23, 24), and organic molecules forming dynamic covalent bonds (8, 18, 25). Recently, metal coordination complexes have been used to direct nanocrystal assembly (18, 26–28). For example, CdTe nanocrystals capped with tetrazole ligands formed a transparent hydrogel upon the addition of cadmium (II) acetate (27). However, strong chelating agents such as ethylenediaminetetraacetic acid (EDTA) or protonating agents such as trifluoroacetic acid were required to reverse the assembly process (18, 27).
Linker-mediated nanocrystal gelation has previously been monitored by changes in structure detected using small-angle x-ray scattering (SAXS) and by the associated modulation of optical properties (e.g., LSPR or excitonic absorption) (8, 21, 22, 27, 29). Theoretically predicted phase diagrams can be used to interpret the observed behavior and guide the design of new experiments. Molecular dynamics (MD) simulations of coarse-grained models offer a microscopic view of gelation, including the types and propensities of various linking motifs expected in nanocrystal gels (8, 30–32). However, corresponding experimental insights have been lacking, limiting the opportunity to design and understand nanocrystal gels from a molecular perspective. Here, using a linking chemistry with optically quantifiable bonds resolves this limitation and enables us to discern the chemical and thermodynamic basis for gelation, by comparing computational and experimental results across length scales.
In particular, we introduce a thermoreversible and optically responsive gelation strategy using terpyridine-metal complexation to link nanocrystals. Specifically, tin-doped indium oxide (ITO) nanocrystals were functionalized with terpyridine-terminated ligands (TL) and dispersed in N,N-dimethylformamide (DMF) with Co2+ and excess Cl−. The formation of cobalt(II)-(bis)terpyridine [Co(Tpy)2] links between nanocrystals results in gelation at room temperature, causing a red shift in the infrared LSPR absorption due to coupling. Higher temperatures favor dissociation of the linking bonds, releasing Co2+ to form cobalt(II) tetrachloride, reversing the nanocrystal assembly and recovering the higher-energy LSPR of dispersed nanocrystals. As we show, the concentration of Cl− controls the gelation temperature. By spectral deconvolution, we quantify link formation and observe that gelation is governed by the number of links surpassing a threshold, regardless of Cl− concentration. Quantitative analysis of bonding equilibria confirms that a favorable bonding enthalpy controls linking, with [Cl−] shifting the equilibrium according to Le Chatelier’s Principle. MD simulations establish that bonding increases continuously as temperature decreases, but only beyond a critical threshold do large clusters consistent with gelation form. Having rationalized the basis for the tunable infrared optical switching, this linking gel strategy may be extended in the future to design nanocrystal assemblies with a wide range of dynamic properties.
RESULTS
Ligand design and nanocrystal functionalization
We designed and synthesized TL that can facilitate nanocrystal gelation by forming Co(Tpy)2 complexes (Fig. 1A and figs. S1 to S8 and S13). The ligands consist of three domains: a terpyridine moiety on the terminal end used for linking, a polyethylene glycol (PEG)–based backbone for nanocrystal dispersibility, and a tricarboxylic acid group for binding to nanocrystal surfaces. ITO nanocrystals were chosen as building blocks because of their infrared LSPR absorption, which is known to shift due to coupling in assemblies (2, 7, 8, 33). The nanocrystals were synthesized via a modified slow growth method (34) and functionalized with TL via direct ligand exchange (8).
Functionalization of ITO nanocrystals with TL had no discernible effect on nanocrystal morphology or plasmonic properties. The size and shape of nanocrystals were unchanged by the exchange of native oleate ligands with TL (Fig. 1B and fig. S14), with the nanocrystal core size being 11.7 ± 1.0 nm (fig. S15). Dispersions of oleate-capped and TL-capped ITO nanocrystals (OA-ITO and TL-ITO, respectively) exhibited nearly identical LSPR absorption (Fig. 1C). The presence of bound TL on nanocrystals was confirmed by comparing 1H nuclear magnetic resonance (1H NMR) spectra of TL and TL-ITO (Fig. 1D and fig. S16). TL displayed a broad peak at 12.5 parts per million (ppm) assigned to the carboxylic acid proton and multiple peaks from 7.4 to 8.8 ppm characteristic of terpyridine (35, 36). Meanwhile, TL-ITO showed no sign of the carboxylic acid proton, consistent with surface-bound carboxylates and no traceable amount of unbound TL was present. The aromatic peaks of terpyridine were substantially broadened and shifted in TL-ITO, consistent with ligands binding to nanocrystals (37). The presence of bound ligands was also confirmed with Fourier transform infrared (FTIR) spectra, where the characteristic vibrational modes of the terpyridine group were visible in the fingerprint region (fig. S17). The C═O stretching mode for carboxylic acid groups in TL is absent for TL-ITO, consistent with carboxylate-mediated bonding on the nanocrystal surfaces.
To estimate the average number of TL per nanocrystal, 19F NMR spectroscopy was carried out on nanocrystals functionalized with a fluorine-tagged TL (TLF-tag) in deuterated DMF (figs. S9 to S11 and S18). Functionalized nanocrystals were dispersed together with an internal reference at known concentration (Trichlorofluoromethane, 10 mM)and the concentration of ligands was calculated by comparing the integrated peak areas, resulting in an average number of 560 ± 7 TLF-tag per nanocrystal.
Thermoreversible nanocrystal assembly
Adding CoCl2 to a dispersion of TL-ITO rapidly induced the formation of a gel, while a flowing dispersion was recovered upon heating. Previous studies showed that metal-terpyridine complexation can be used to induce nanocrystal aggregation (18, 26, 38, 39). Reversing the assembly process, however, required addition of either a strong chelating agent (EDTA) or strong acid (18). Furthermore, using such chemical stimuli results in the accumulation of by-products, severely limiting the opportunity to reversibly cycle between assembled and dispersed phases (27). Our key insight to overcome this challenge was to balance the metal-terpyridine bonding equilibrium by adding Cl− [tetrabutylammonium chloride (TBACl)] to favor the release of Co2+, forming cobalt(II) tetrachloride in a ligand exchange reaction. As a result, thermoreversible ITO nanocrystal gel assemblies were realized on the basis of the dynamic equilibrium between Co(Tpy)2 complexes and cobalt(II) tetrachloride complexes (bound and free Co2+, respectively) (Fig. 2A).
At relatively low temperature, bound Co2+ is enthalpically favored over free Co2+ and guides nanocrystal assembly by linking together TLs on neighboring nanocrystals. As temperature increases, however, the balance shifts from bound Co2+ to free Co2+, reversing nanocrystal assembly. Theremoreversible nanocrystal assembly was observable by visual inspection (Fig. 2C and fig. S19). A dispersion of TL-ITO immediately formed a gel upon adding CoCl2 at room temperature. The characteristic visible absorption of bound Co2+ made the nanocrystal gel look orange (40, 41). The gel repeatedly turned into a flowing dispersion upon heating (90°C) and back into a gel upon cooling to room temperature. Scanning transmission electron microscopy (STEM) imaging of a dried gel showed an open porous network formed by interconnected nanocrystal clusters (Fig. 2D and fig. S20). Almost all nanocrystals are incorporated in the gel phase, leaving a clear supernatant (Fig. 2D, inset). On the basis of the gel volume, the estimated volume fraction of nanocrystals is about 1.2%, so it remains highly porous. To monitor structural changes, in situ SAXS was performed at different temperatures (Fig. 2B). At room temperature, the nanocrystal gels exhibited a characteristic increasing structure factor S(q) at low q, indicative of mesoscale organization of nanocrystals with a fractal dimension of 2.2 to 2.4 (fig. S21). With increasing temperature, S(q) at low q decreased in intensity, approaching unity, consistent with the transition from gel into discretely dispersed nanocrystals. Last, the characteristic gel S(q) was recovered when cooled to room temperature, indicating thermoreversible gelation. When left undisturbed, the gel showed good stability at room temperature, displaying nearly unchanged SAXS structure factor over 5 months (fig. S22).
Tunable and reversible optical modulation
Gelation brings the ITO nanocrystals close together, producing a substantial shift in infrared absorption due to LSPR-LSPR coupling. LSPR absorption spectra of TL-ITO dispersions containing Co2+ and excess Cl− were monitored in situ at different temperatures by FTIR (Fig. 3 and figs. S23 and S24). At 100°C, the spectrum closely resembled that of a TL-ITO dispersion without any linker, indicating that nanocrystals are well dispersed (Fig. 3A). As temperature decreased, however, an abrupt red shift and broadening occurred, attributed to coupling between assembled nanocrystals (2, 42). The phase transition from dispersion to gel was identifiable by the shift of LSPR peak frequency from above 4700 cm−1 to below 4400 cm−1, with the gelation temperature (Tgel) determined by the inflection point of a sigmoid fit (Fig. 3B). The gelation temperature was tuned by manipulating the equilibrium between Co(Tpy)2 links and free CoCl42− ions. Specifically, varying [TBACl] between 100 and 200 mM caused Tgel to shift by more than 20°C. The reversible nature of the metal coordination links led to highly reproducible gelation upon repeated thermal cycling (Fig. 3, C and D). Through five cycles of heating and cooling, the LSPR spectra were consistent in both dispersion (90°C) and gel states (40°C), for all samples.
Quantifying the links during nanocrystal assembly
Besides changes in LSPR, the visible absorption spectra change markedly during heating, providing a spectroscopic signature of metal coordination linking. Two absorption peaks at 448 and 523 nm are indicative of the d-d* transition of bound Co2+, while the band between 550 and 750 nm is attributed to the d-d* transition of free Co2+. The spectroscopic signals for bound and free Co2+ were consistently reproduced over 10 cycles between 90 and 40°C (fig. S25). The thermal recyclability of the linking process stands in contrast with the use of chemical stimuli to reverse nanocrystal assembly, which often leads to the accumulation of by-products and offers limited cyclability.
To quantify bonding, the visible absorption spectra were deconvoluted into three contributions: ITO nanocrystals (bandgap and LSPR), bound Co2+, and free Co2+ (Fig. 4A and figs. S26 and S27). The fraction of free Co2+ was found by comparing the deconvoluted spectroscopic contribution of free Co2+ in the flowing nanocrystal dispersions to that in a control sample lacking terpyridine terminal groups on the ligands (figs. S12 and S13).
Although gelation occurred abruptly at a distinct temperature, the number of links (bound Co2+) increased continuously as the temperature was lowered from 100°C (Fig. 4B). The quantification of links below the gelation temperature was not possible due to the severe scattering of the gels in the visible region. The fraction of bound Co2+ at the gelation threshold was nearly constant at about 53% (133 bound Co2+ per nanocrystal) regardless of [TBACl], implying that gelation occurs when the average number of links per nanocrystal surpasses a threshold. Our previous study using an aldehyde-hydrazide reversible covalent bonding pair showed that most links formed using bifunctional linkers are “self-links”—in which two ligands on a single nanocrystal are connected by a linker, without effectively extending the nanocrystal network (8). Thus, above the gelation temperature, self-links may account for the gradual increase of bound Co2+ with decreasing temperature while the nanocrystals remain dispersed.
To better understand the bonding equilibria and the distribution between self-links and effective links (those that bridge between nanocrystals and extend the network), two types of MD simulations were performed over a range of temperatures above and below Tgel (fig. S28). First, in single-nanocrystal simulations, the fraction of bound linker increased continuously with decreasing temperature approaching a fully bound state (Fig. 5A). Subsequently, the fraction of bound linker was computed in 100-nanocrystal systems at four different temperatures, which showed quantitative agreement with the single-nanocrystal calculations, as well as with the corresponding experiments, which collapse to a single curve when temperature is normalized by Tgel (Fig. 5, A and B). This correspondence suggests that the thermodynamics of link formation are largely independent of linking motif, whether self-linking or bridging. In the model, a gelation threshold of Tgel = 0.093εb/kB, where 2εb is the bonding energy to form a link and kB is the Boltzmann constant, ensures that the fraction of bound Co2+ matches the experimental value of 53% at the gelation temperature. Considering an experimental Tgel of 50°C, this temperature scaling corresponds to a bonding energy to form a link of 57.8 kJ mol−1.
Starting from initial configurations of only free linkers, effective links increase over simulation time (Fig. 5C) and the prevalence of effective links, redundant links, and self-links all increased with decreasing temperature (fig. S29). Most of the bound Co2+ participated in self-links with only a small fraction forming effective links (up to 8%), regardless of temperature (Fig. 5C). This result is consistent with our prior observations of linker-mediated nanocrystal gelation, which showed that most of the linkers are “wasted” in self-linking motifs (8, 30, 32). As temperature dropped to near Tgel, the number of effective links crossed a threshold sufficient to induce nanocrystal assembly; slightly more than one effective link per nanocrystal was required to form a percolated network (Fig. 5C), and large, connected clusters of nanocrystals were observed to assemble (Fig. 5, B and D, and movies S1 and S2).
On the basis of the spectroscopic deconvolution, higher concentration of Cl− reduced the fraction of bound Co2+ at each temperature, ultimately lowering Tgel. This trend can be explained by the thermodynamic equilibrium between bound and free Co2+, which is driven toward forming more free Co2+ at higher concentration of Cl−. As a result, samples with higher [TBACl] required further cooling to reach the threshold point, leading to lower Tgel.
The spectroscopically quantified trends in bound Co2+ with temperature and [TBACl] were used to derive the thermodynamic parameters controlling coordination bonding and thereby directing nanocrystal gelation. Briefly, equilibrium constants (Keq) at different conditions were obtained using the simplified chemical reaction for linking in our system
The standard reaction enthalpy derived from van’t Hoff analysis (ln Keq versus 1/T), independent of [TBACl], is −41.7 ± 0.1 kJ mol−1 (Fig. 4C). As expected, the standard reaction entropy is also approximately independent of [TBACl], within the precision of our analysis (fig. S30 and table S1). The derived enthalpy value is similar to the enthalpy calculated for DNA links made with six complementary base pairs (43). Here, this same bond strength is found in a relatively compact metal coordination complex, compatible with organic solvents, and stable during repeated thermal cycling. Furthermore, considering a Tgel of 50°C, the free energy for link formation is −19.3 kJ mol−1 (linking energy via simulation is ‒57.8 kJ mol−1). The Co(Tpy)2 linkages are also chemically responsive. As in previous studies of terpyridine links, the metal ions can be extracted by adding EDTA, recovering a nanocrystal dispersion with no evidence of remaining aggregation (fig. S31).
DISCUSSION
These thermoreversible gels offer a glimpse of the broadly tunable, responsive materials that can be envisioned, based on the microscopic bonding conditions established by our spectroscopic and computational analysis. Metal-terpyridine links are one of a family of dynamic covalent bonding chemistries that bond selectively only with their complementary pair, named tunable orthogonal reversible covalent (TORC) bonds (44). We expect TORC linkages to be useful for selective “programming” of nanocrystal assembly, for example, TL-ITO could be selectively assembled from a mixed dispersion also containing nanocrystals functionalized with the aldehyde-functional ligands reported previously (8). The organization of multiple types (sizes, compositions, and shapes) of nanocrystals within a gel network could be controlled dynamically, based on the linkers used. Linking chemistries responsive to alternative stimuli, such as light, magnetic field, or pH changes, could be used. Besides optical properties, such assemblies could have switchable rheological characteristics or could be used to reversibly trap and release drugs or other cargo (45). Last, the microscopic insights into linking-controlled assembly afforded by our colorimetric chemistry may translate to other domains, e.g., understanding how thermodynamics controls protein assembly induced by metal ion linkers (46).
MATERIALS AND METHODS
Synthesis of ligand
TL were prepared by altering previously established literature protocols (8). Briefly, the ligands were made using solid-phase peptide synthesis (SPPS), and the terminal terpyridine moiety was incorporated using copper azide alkyne cycloaddition (CuAAC). The ligand was built off of solid support and azido lysine was used during the SPPS to incorporate a terminal azide functional group. Then, terpyridine-based alkyne moiety was attached to the ligand CuAAC. Once completed, the ligands were cleaved from the resin, purified using high-performance liquid chromatography, and dried for use.
Synthesis and functionalization of nanocrystals
ITO nanocrystals were synthesized on a Schlenk line via a simple modification to a slow growth procedure (34). A precursor solution was prepared by dissolving Sn(IV)acetate (117.4 mg, 0.5 mmol) and In(III)acetate (2.773 g, 9.5 mmol) in 20 ml of oleic acid, degassing under vacuum (90°C, 1 hour), and heating under flowing nitrogen (150°C, 3 hours). The precursor solution was slowly injected into 13 ml of oleyl alcohol at 290°C under flowing nitrogen. Last, the nanocrystals were washed five times (four times with ethanol and once with isopropanol) and dispersed in hexane.
The nanocrystals were functionalized via a direct ligand exchange (8). As-synthesized nanocrystals were precipitated into a pellet and sonicated in ligand solution (0.01 M TL in DMF) until a clear dispersion was obtained. The functionalized nanocrystals were washed three times and dispersed in DMF.
Preparation of samples for spectroscopic measurement
The samples were prepared by adding Co2+ (0.01 M anhydrous CoCl2 in DMF) and Cl− (0.5 M TBACl in DMF) to a stock solution of TL-ITO (43.0 mg/ml, in DMF). The final volume fraction of nanocrystal was adjusted to 0.001 by adding neat DMF. The final concentration of CoCl2 was fixed at 0.5 mM, while that of TBACl was varied between samples ([TBACl] = 100, 150, and 200 mM). Control samples were prepared using nanocrystals capped with a ligand lacking the terpyridine group, replacing it with a phenyl ring, in otherwise the same conditions.
Deconvolution of in situ absorption spectra
The visible absorption spectra of nanocrystal dispersions were deconvoluted into three elements: ITO nanocrystals (bandgap and LSPR), bound Co2+, and free Co2+. First, the contribution from ITO nanocrystals was removed by subtracting the absorption spectrum of a TL-ITO dispersion, leaving the total absorption of bound and free Co2+. Next, the peak intensity of deconvoluted free Co2+ at 693 nm (Is) was determined by using an extrapolated linear fit as a baseline. Meanwhile, in situ visible absorption of control samples was measured, and their intensity at 693 nm (Io) was found. The deconvoluted spectroscopic contribution of free Co2+ was obtained by multiplying the intensity of the absorption spectra from the control samples with the factor of Is/Io. Last, the deconvoluted spectroscopic contribution of bound Co2+ was obtained by subtracting the contribution of free Co2+ from the Co2+ portion of the spectra.
The fractions of bound Co2+ at different temperatures were derived from the deconvoluted spectra. In the control samples, the high molar ratio of Cl− to Co2+ (ca. 200 to 400) favors free Co2+, yielding the Io values used for quantification. In the presence of TL-ITO, the amount of free Co2+ decreases as Co2+ bonds with terpyridine, resulting in reduced peak intensity Is. Thus, the absorption intensity ratio, Is/Io, can be interpreted as the fraction of free Co2+ relative to the number of total Co2+ ions. The bound fraction is taken as the remainder of the Co2+ ions, readily calculated as (Io − Is)/Io.
MD simulation
The coarse-grained model studied here via MD simulations was designed (8) to capture theoretically predicted bonding motifs (30–32) and experimentally observed phase behavior (8, 12) of linker-mediated colloidal nanocrystal dispersions and gels. Nanocrystals, ligands, and linkers are represented explicitly in the model with physical dimensions and bonding attributes approximating their counterparts in the experiments, while the solvent was treated implicitly (fig. S28). MD simulations were performed with Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) (9 January 2020) (47), and OVITO (48) was used to visualize our simulations and to render the images and videos.
Details of the model and the simulations are provided in the Supplementary Materials. A more extensive discussion of the model, including its approximations and a motivation for its parametrization, can be found elsewhere (8).
Acknowledgments
We acknowledge early conceptual contributions by E. Runnerstrom. We would like to thank the University of Texas at Austin Mass Spectrometry and NMR Facility for the use of the Bruker AVANCE III 500: NIH grant number 1 S10 OD021508-01 and the Texas Materials Institute for the use of the SAXSLAB Ganesha, acquired using an NSF MRI grant CBET-1624659. We thank the Texas Advanced Computing Center (TACC) at the University of Texas at Austin for HPC resources.
Funding: This research was primarily supported by the National Science Foundation through the Center for Dynamics and Control of Materials: an NSF Materials Research Science and Engineering Center (NSF MRSEC) under Cooperative Agreement DMR-1720595. E.V.A. acknowledges support from the Welch Regents Chair (F-0046). D.J.M. and T.M.T. also acknowledge support by the Welch Foundation (F-1696 and F-1848). This work was also supported by an NSF Graduate Research Fellowships (DGE-1610403) to S.A.V. and Arnold O. Beckman Postdoctoral Fellowship to Z.M.S.
Author contributions: J.K. and S.A.V. contributed equally to this work. J.K. and D.J.M. conceived the idea and designed the research. J.K., T.M.T., E.V.A., and D.J.M. guided the research. J.K. performed synthesis of nanocrystals, material characterization, and in situ spectroscopy. S.A.V. designed, synthesized, and characterized ligands. E.Y.L. performed MD simulations. M.N.D. conducted 19F NMR spectroscopy measurement. Z.M.S. analyzed SAXS structure factor. J.K., D.J.M., S.A.V., T.M.T., and E.Y.L. wrote the manuscript with input from all authors.
Competing interests: The authors declare that they have no competing interests.
Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.
Supplementary Materials
This PDF file includes:
Other Supplementary Material for this manuscript includes the following:
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