Open Access Article
Evdokia Stefanopoulou
*ab,
Ghazi Ben Messaoud
c,
Rodrigo Salazar Ortizd,
Horst Fischer
d and
Walter Richtering
*ab
aDWI Leibniz Institute for Interactive Materials, Forckenbeckstrasse 50, 52074, Aachen, Germany. E-mail: stefanopoulou@pc.rwth-aachen.de
bInstitute of Physical Chemistry, RWTH Aachen University, Landoltweg 2, 52074, Aachen, Germany. E-mail: richtering@pc.rwth-aachen.de
cSTLO, INRAE, Institut Agro, 65 Rue de Saint-Brieuc, 35042, Rennes, France
dDepartment of Dental Materials and Biomaterials Research, RWTH Aachen University Hospital, Pauwelsstrasse 30, 52074, Aachen, Germany
First published on 4th November 2025
Hydrogels with tailored porosity and microstructure are essential for biomedical applications such as drug delivery and tissue engineering, yet precise control over their internal architecture remains a challenge. A promising strategy relies on bicontinuous systems formed via spinodal decomposition of polymer blends, enabling the design of hydrogels with tunable and interconnected porosity. By selectively using one polymer as a sacrificial template, hydrogels with large interconnected pores can be developed, enhancing cell growth and migration, nutrient transport, and cellular waste removal. However, the inherent instability of bicontinuous systems, makes it difficult to arrest the microstructure at a defined stage, limiting reproducibility and precise control over pore architecture. Herein we report a straightforward strategy to regulate the phase separation process of GelMA–dextran aqueous two-phase systems (ATPS), enabling 3D printing of hydrogels with tunable porous microarchitectures. By introducing glucono delta-lactone (GDL) into the ATPS, a gradual decrease in pH is achieved, which delays and slows down the kinetics of phase separation. UV photocrosslinking at a selected time point arrests the evolving bicontinuous structure, offering precise control over the pore size and morphology. The results confirm fine-tuning of the phase separation dynamics and enhanced reproducibility. Notably, the GDL-mediated pH control stabilizes the mixture long enough to allow 3D printing, without interfering with the phase separation or the final microstructure. The printed hydrogels retain their interconnected morphology, with tunable channel sizes depending on the timing of crosslinking. This approach offers a robust and versatile route to structure hydrogels with controlled porosity and architecture. It opens new opportunities for the design of biofunctional materials with improved mass transport and mechanical properties, tailored to specific biomedical applications, and it is compatible with advanced fabrication methods like 3D printing.
Although the mechanical properties, degradation rate and biocompatibility of hydrogels can be tuned through the selection of polymers and gelation conditions, the controlled introduction of macroporosity, beyond the inherent mesh-like structure of polymer networks, remains particularly challenging. In a recent study, the mesh size (effective pore size) of agarose hydrogels was systematically measured in the range of (25–100) nm, by varying the polymer concentration.10 Another work reports porous hierarchically-ordered hydrogels, where the morphology and size of porosity is dictated by the choice of solvent and the polymer concentration and pore size extends up to 50 μm,11 which could be restrictive for cell applications. Alternatively, porosity can be introduced into hydrogels with techniques such as templating methods, gas injection, electrospinning, freeze-drying, or phase separation, and each of them is targeting a porosity at different length scales.12,13 Among the commonly used ones, the development of an aqueous two-phase system (ATPS) is a promising approach to introduce porosity, as it occurs in a fully aqueous medium and does not require any specific device. Pores are created within the hydrogel, by inducing gelation of one of the two polymers composing the water-in-water (w/w) emulsion, while the second one is used as a sacrficial template. Control of the kinetics and the mechanism of phase separation enables the creation of hydrogels with porosity sizes that vary from disconnected to interconnected pores, and from unoriented and randomly distributed to highly oriented bands or fibers.14
Many recent studies focus on the microarchitecture of the hydrogels and how it can facilitate their intended purposes15,16 without compromising their mechanical robustness.17 The selection and tunability of the hydrogel microstructure is crucial for targeting the formation of different tissues,18 for improvement of vasculogenesis and angiogenesis19–21 and for efficient spreading and migration of cells and nutrients.22–25 The optimal range of pore size for the diffusion of nutrients within scaffolds via blood vessels should be larger than 30 μm.26 For cell proliferation, the macroporosity range is targeted: pores of (120–325) μm are reported ideal for osteoblast cells,27 whereas the range (200–250) μm is more suitable for human dermal fibroblast cells.28 Additionally, porosity requirements in hydrogels can vary between arrangements of isolated cells and cells that form clusters, like the islets of Langerhans in the pancreas for the regulation of blood glucose level,29 where interconnected pores are beneficial for proper transport of oxygen and nutrients. A well-defined porosity is also crucial for the diffusivity of drugs in drug delivery systems, enabling the local and timely release of therapeutic agents. For instance, smaller pores sizes reduce the rate of drug release, making it possible to achieve sustained release profiles for chronic treatments, while larger pores sizes facilitate rapid drug delivery for acute scenarios.17
In general, liquid–liquid phase separation can be associative (single polymer–salt coacervation, complex coacervation between polymers) or segregative (demixing through ATPS formation), depending on the respective charge-induced or water-affinity interactions. ATPS are mixtures of two thermodynamically incompatible polymers that phase separate and form w/w emulsions. Due to their fully aqueous environment and ultralow interfacial tension, ATPS are widely studied30–32 and used in numerous bioapplications, ranging from the lubrication of joints33 to the encapsulation of active biomolecules like DNA.34 If combined with 3D printing technologies, ATPS can be advantageous for the fabrication of hydrogels with tailorable and hierarchical porosities on the macroscale, mesoscale and microscale via a single step,35,36 or for improving the quality of low-viscosity bioinks.37
The choice of (bio)polymers is also significant, both in terms of controlling the segregative phase separation process for ATPS formation and in terms of ensuring biocompatibility. Gelatin methacryloyl (GelMA) is a modified protein that is ideal in both respects, because of its functional ionizable carboxylic and amino groups, RGD (Arg–Gly–Asp) motifs for cell adhesion and proliferation, and matrix metalloproteinase degradation sites for cell remodelling.38 GelMA is also widely used as a bioink component for 3D printing due to its microrheological, viscoelastic, and shear-thinning properties.16,24,39,40 On the other hand, dextran is a neutral bioinert polysaccharide.41 Under specific physicochemical conditions and in absence of attractive interactions, protein–polysaccharide systems are known to be thermodynamically incompatible due to their water affinity difference.42 Incompatibility is further influenced by changes in temperature, pH, ionic strength of the solution and the molecular weights and concentrations of the used polymers.43
Segregative phase separation of a protein and polysaccharide mixture in water can occur by two different mechanisms, namely nucleation and growth, or spinodal decomposition. In the nucleation and growth mechanism, the system is metastable and only concentration fluctuations above a critical size (nuclei) will develop, while the rest will disappear. The size of the formed droplets generally increases with Ostwald ripening, leading to polydisperse droplets of one polymer-rich phase dispersed in the second one. In the absence of quenching, the droplets coalesce until a macroscopic phase separation is achieved with the formation of two distinct phases, each of which is rich in one polymer. In the case of spinodal decomposition, the system is unstable and phase separation develops spontaneously from small local fluctuations in concentration that grow fast over time. Due to the thermodynamic instability and rapid phase separation kinetics of the system, targeting segregative phase separation through spinodal decomposition to develop functional porous hydrogels remains challenging.32,44
It has already been shown that, in the case of the GelMA–dextran system, an amphiphlic, amphoteric protein/neutral polysaccharide system, the formation of ATPS is governed by the charge density of GelMA and can be triggered either by adding salts or by decreasing the pH around the isoelectric point (IEP) of GelMA.22 Phase separation has been triggered so far by manually adjusting the pH of the w/w emulsion, using a small quantity of hydrochloric acid. However, this method has some limitations with regard to controlling the size of the pores of the resulting hydrogels and the time requirements for 3D printing them. Adjusting the molarity of HCl to immediately induce segregation of the GelMA–dextran ATPS requires considerable effort to process the system, by trying to control the competition between phase separation and gelation during 3D printing. In this work, an in situ acidification approach of the GelMA–dextran ATPS is proposed, which enables a straightforward and controlled transition from a monophasic to a biphasic GelMA–dextran system. For this, glucono-δ-lactone (GDL) is introduced, which is an organic bio-molecule that derives from the aerobic oxidation of glucose. In an aqueous solution, GDL slowly hydrolyzes to form gluconic acid.45,46 The hydrolysis process is a first-order reaction and its rate is influenced by several factors, including the concentration of GDL, the temperature and the initial pH of the solution.47,48 In general, an increase in the GDL concentration, temperature or initial pH accelerates the kinetics of the hydrolysis and, therefore, the decrease in pH.
GDL has been widely used in the food industry as a slow acidifier. GDL is also suitable for the gelation of pH-sensitive systems, including the pH-driven self-assembly of amphiphilic molecules.49–52 Moreover, due to its biocompatibility and great solubility in water, GDL has applications in tissue engineering, where it enables controlled and homogeneous gelation and the production of mechanically robust scaffolds.53 Controlled gelation is also essential for 3D printing of hydrogels, where GDL is used to enhance the viscosity of bioinks.54
Building on these features, the use of GDL as a versatile agent for slow acidification is investigated, in order to tune the phase behavior of GelMA–dextran mixtures. Specifically, it is demonstrated that the hydrolysis of GDL into gluconic acid offers a controllable alternative to the conventional addition of HCl to initiate phase separation. By adjusting both the concentration of GDL and its hydrolysis kinetics, precise control over the rate and extent of the pH decrease in GelMA–dextran systems is achieved. This tunable in situ acidification strategy proves especially advantageous for controlling the onset time of phase separation, specifically in the case of spinodal decomposition, resulting in delayed phase separation of the GelMA–dextran system.
From an application perspective, the addition of GDL would be beneficial for 3D printing, particularly with the inkjet technique, in which the ink must be in liquid state. The introduced delay of phase separation allows sufficient time for setting up the 3D printer and provides the flexibility to create larger and more complex patterns that require longer printing times. Additionally, the size of the resulting microstructure can be controlled by 3D printing at different stages of the phase separation process.
The specific phase separation conditions-namely concentrations of GelMA, dextran and pH– are dependent on the molecular features of the GelMA and the dextran. In particular, the molecular weight and the distribution of molecular weights of both polymers, as well as the methacrylation degree of GelMA are all important parameters to take into account. In this work, the range of the molecular weight of the used gelatin batch is within the typical ranges and molecular weights of GelMA used in the literature.56–58 An increased molecular weight of dextran ((1500–2800) kDa) has been explored in preliminary tests, but it had no effect on the phase separation conditions. A decrease in the methacrylation degree of the synthetized GelMA does not significantly affect the isoelectric point (Fig. S1, SI), hence the conditions for phase separation. However, it influences the mechanical properties of the produced hydrogels. Although a lower methacrylation degree means stiffer hydrogels at room temperature, softer and more fragile hydrogels are obtained at an increased temperature (37 °C) and after photocrosslinking of the GelMA phase. The decision for the selected methacrylation degree of GelMA and molecular weight of dextran is based on these error tests.
A higher concentration of GDL amounts to more gluconic acid leading to a faster decrease in pH and a lower final pH, as depicted in Fig. 2A. Increasing the concentration of GDL further to ≥20 mg ml−1 results in immediate phase separation, similar to what is observed with a strong acid (e.g. HCl). This is due to the fast hydrolysis of GDL, leading to a sufficient amount of gluconic acid solution to instantly decrease the pH to the value at which phase separation occurs. In this case, the slopes are steeper and the initial pH decrease is more rapid. The final pH value drops to (3.0–3.5), whereas the starting pH is between (4.5–5.0) which is already close to the IEP of GelMA. On the contrary, for [GDL] ≤ 2.5 mg mL−1, the amount of acidifier is so small that the pH can only drop to (4.75–5.00). After a long time (>1 h), the pH ≈ pI of GelMA and phase separation starts. The IEP will not be reached if the concentration of GDL is very low (1.25 mg mL−1) and the buffering effect of GelMA in solution predominates. From Fig. 2A it is understood that there is a specific range of GDL concentrations that is relevant for our purposes in this work and these concentrations (10, 5 and 2.5 mg mL−1) are further investigated by UV-Vis spectroscopy.
Turbidity measurements provide an indicator of phase separation in GelMA–dextran systems. Although this technique does not distinguish between the mechanisms of phase separation, namely spinodal decomposition and nucleation and growth, it is valuable for identifying the onset of the process. Specifically, turbidity increases when the pH drops sufficiently to reach the IEP of GelMA, where phase separation becomes thermodynamically favorable. In both spinodal decomposition and nucleation and growth, the growing microstructures result in a non-transparent solution due to the light that they scatter. The turbidity values of the selected system of [GelMA] = 54 mg mL−1 and [dextran] = 22 mg ml−1 as a function of time are measured by UV-Vis spectroscopy and the results are illustrated in Fig. 2B. The arrows indicate the time at which the turbidity of the solution starts to increase, confirming the start of phase separation. The onset time of GelMA–dextran demixing increases with decreasing GDL concentration from 62 to 10 min, for [GDL] = 2.5 mg mL−1 and [GDL] = 10 mg mL−1, respectively. This experiment demonstrates how the adjustment of the GDL concentration is a straightforward approach to control the onset time of phase separation.
The system composed of [GelMA] = 54 mg mL−1, [dextran] = 11 mg mL−1 and [GDL] = 5 mg mL−1 (Fig. 3, first row) has an onset of phase separation at t = 30 min and the microstructure is maintained for at least 1 h at 37 °C. Distinct polysaccharide-rich droplets are dispersed within the protein-rich continuous phase and they grow over time. The average diameter of the droplets, as calculated by the software Aquami, is between (10.1–18.6) μm. Spinodal decomposition can be triggered by doubling the concentration of dextran and keeping the rest of the composition the same (Fig. 3, second row). The system is initially monophasic (before 26 min), because the pH of the solution is still far from the IEP of GelMA (starting at pH ≈ 5.5). In the early stage of spinodal decomposition, at 26:30 min from the start of the hydrolysis of GDL, slight fluctuations in concentration of one phase into the other are distinguishable. At 28 min, the bicontinuous microstructure with interwoven elongated channels has grown homogeneously, and at 30 min, the characteristic length scale of the channels is already ≈200 μm in diameter. Shortly after 30 min, the system turns into a multiple emulsion (dextran-in-GelMA-in-dextran) and continuously evolves until the point of macroscopic phase separation (not depicted).
In the second row of Fig. 3, phase separation has not reached the stage of equilibrium compositions and a small fraction of GelMA appears in the dextran-rich phase. In segregative phase separation, in all intermediate stages before complete demixing, it is expected that each phase is rich in one polymer but contains some polymer of the second phase. It is known from literature that the RGD (Arg–Gly–Asp) motifs of GelMA contribute to cell adhesion and proliferation, so any GelMA remaining sites in the bicontinuous dextran-rich channels would only provide additional adhesion sites, and would not oppose cell invasion as shown in our previous work.22 Additionally, after photocrosslinking of the GelMA-rich phase and washing away dextran to create the interconnected porous channels, the GelMA concentration at those sites is so low in the pores that no continuous network can be formed and it they are washed away along with dextran.
Although spinodal decomposition is fast, transient and sensitive to experimental procedures, GDL allows for better control over the onset point of phase separation as well as for a time window of ≈5 min during which the bicontinuous microstructure is maintained. To better demonstrate this point, a direct comparison of the temporal evolution of the bicontinuous GelMA–dextran microstructure due to the HCl-induced acidification is depicted in the third row of Fig. 3. Herein, the interconnected GelMA and dextran channels are immediately formed and remain bicontinuous during the first (1–2) min. Afterward, a multiple emulsion begins to form, where the elongated channels and droplets of the GelMA-rich phase coexist within the continuous dextran-rich phase and vice versa, for example, at t = 3 min. In summary, GDL hydrolysis offers an extended “time window” and better control of the kinetics of phase separation compared to HCl-induced acidification, where phase separation is complete in (1–2) min. In addition, GDL allows for precise control over the onset of phase separation, since acidification occurs gradually, unlike the immediate drop in pH with HCl.
The temporal evolution of the diameters of the elongated bicontinuous channels of the GelMA–dextran aqueous solution is obtained by quantitative analysis of the CLSM images. In Fig. 4A, the characteristic length scales of both the GelMA-rich (brown) and dextran-rich (black) regions are growing with time. The grey-outlined region in Fig. 4A is the range of length scales that is desirable for feeding the cells into the interwoven channels. The achieved diameters of the formed channels in the evolution of spinodal decomposition are the widths of the pores that are to be formed after photo-crosslinking the GelMA-rich phase and removing the dextran-rich phase. The length scales of the pores are ideal for the attachment, growth and migration of cells.
The presence of GDL in the GelMA–dextran aqueous solution slows down the kinetics of the otherwise fast-progressing spinodal decomposition. Herein, additional physicochemical conditions –such as temperature, presence of salt ions, and dilution– are assessed as means to further control the evolution of the ATPS. Temperature decrease can slow down the hydrolysis of GDL, therefore decreasing the acidification rate. Salt affects the ionic strength of the starting solution, screening the counterions of GelMA, and has the potential to act as stabilizer of w/w emulsions via percolation-to-cluster transitions.62,63 Dilution of the initial GelMA–dextran–GDL composition reduces the overall concentration of each polymer and can directly affect phase separation kinetics64 due to increased solvent effects, changes in diffusion distances, and decreased polymer–polymer interactions.
A quantitative analysis of the obtained confocal images for different physicochemical conditions or compositions that lead to spinodal decomposition via GDL in situ acidification is possible using the software Aquami. A similar quantitative analysis is not possible for the HCl-induced spinodal decomposition, because in the third row of Fig. 3 it is shown that phase separation starts and finishes much quicker. In Fig. 4B, the varying parameters are the concentration of dextran or GDL in the system, the temperature at which phase separation takes place, ionic strength (1 mM NaCl) and 1.1× dilution of the ATPS. The results will be discussed with respect to the onset time of spinodal decomposition, which depends on the speed of the hydrolysis of GDL and when the pH ≈ pI of GelMA. It is also interesting to compare the slopes of the different sets of data as indicators of the kinetics of spinodal decomposition, as well as the time window from the onset time until the late stage of macroscopic phase separation, at which no further quantitative analysis of the obtained confocal images is possible.
The onset time can be easily tuned by adjusting the GDL concentration, as depicted in Fig. 4B if we compare the first (black) and last (purple) set of data. This is agrees with the data from the turbidity curves in Fig. 2B. However, spinodal decomposition consistently occurs within (5–6) minutes in both cases.
In Fig. 4B, when comparing the first (black) to the second (red) dataset, the dextran concentration changes from 22 to 24 mg mL−1. This does not significantly affect the time window of phase separation, when comparing the first slope (55 ± 3) μm min−1 with the second (29 ± 7) μm min−1. Increasing the dextran concentration provides a (2–3) min additional delay to the onset of phase separation. The decrease in temperature (orange dataset) is limited in the range (T ≥ 30 °C) due to the physical gelation of GelMA. For the same GelMA–dextran–GDL composition as the first (black) dataset, a 7 min additional delay of the onset time of spinodal decomposition is introduced. The slope shows a decrease to (44 ± 8) μm min−1, suggesting a negligible influence of this small temperature decrease on the kinetics of phase separation.
The effects of the 1.1× dilution of the ATPS (green dataset) and the presence of a small amount of 1 mM NaCl (blue dataset) in the GelMA–dextran–GDL solution are also examined. When compared to the ATPS with no dilution or no salt (black dataset), both have a similar additional delay of (7–8) min. The slope of the diluted ATPS is calculated (21 ± 9) μm min−1, which is much slower than that of the salt-containing ATPS [(57 ± 13) μm min−1]. To conclude, the onset time of spinodal decomposition is adjustable by choosing the appropriate physicochemical conditions and initial composition of the ATPS and, once it starts, there is also a small impact on the kinetics of segregation.
For the rheological characterization of the hydrogels, temporal evolution of G′ and G′′ is firstly measured at a constant frequency and shear strain within the linear viscoelastic regime (Fig. 5A and C). The gelation of each hydrogel is confirmed by the sudden increase in the viscoelastic moduli, following UV application, and until they reach a plateau that indicates the completion of the gelation step. In the subsequent frequency sweep step (Fig. 5B and D), a storage modulus of G′ ∼ (2.5–4.3) kPa is quantified for all hydrogels. This indicates that, although there are morphological differences, there is no obvious relationship between the formed microstructure and the viscoelastic properties. Lastly, it should be stressed that it is not possible to perform this experiment with the conventional manual HCl acidification.
Fig. 6A shows very early stages of spinodal decomposition at t = 6:30 min. In the case of the casted reference, the hydrogel appears to be not phase separated yet (A1) in comparison to the 3D printed one which has just started to phase separate (A2 and A3). Small bicontinuous channels at t = 7:30 min are depicted in Fig. 6B and they grow bigger one minute later in Fig. 6C. Again, the 3D printed hydrogels (B2 and C2) are in a more advanced stage of phase separation compared to the casted hydrogels (B1 and C1), which can probably be attributed to shearing effects while printing the GelMA–dextran phase-separating solution, i.e. shear-induced demixing.
The later stages of phase separation, at t = 9:40 min, have been captured in Fig. 6D. There even bigger bicontinuous channels can be discerned in the casted hydrogel (D1) and also some areas with discontinuity in the 3D printed hydrogel (D2). Lastly, at t = 10:45 min the emulsion transitions to GelMA-rich droplets in the dextran-rich continuous phase (Fig. 6E). In both the casted reference (E1) and the 3D printed droplets (E2), more dextran-rich sites than before are visible. However, the dextran-rich areas of the obtained hydrogels are going to be washed away in the final step, leaving empty spaces (pores) in these places. Therefore, in the case of the last 3D printed droplets, discontinuous and not self-standing hydrogels are produced.
While similar macroscopic patterns as shown in Fig. 6 could, in principle, be produced using a simple syringe-based approach, inkjet-based 3D printing offers several key advantages beyond pattern formation. It provides non-contact material deposition, minimizing disturbance of the ATPS and allowing for rapid, automated fabrication of complex patterns. Specifically, it enables precise, computer-controlled deposition of pico- to nano-liter scale droplets, allowing for high spatial resolution and reproducibility that are difficult to achieve manually. Furthermore, the ability to control the opening time of the microvalves, the printing pressure, the shear stress and the material flow enables the generation of droplets with different volumes within the same construct, providing another level of precision, reproducibility and versatility in material deposition. Especially since the two-phase system is a sensitive material, it requires well-defined conditions during synthesis and processing. Therefore, the adjustment of the interconnectivity of the droplets is achieved by controlling the cycle time of the microvalve, offering the flexibility to print them either individually or continuously as interconnected strands, as shown in confocal micrographs B3 and C3 of Fig. 6.
The inkjet printing experiment successfully illustrates that 3D printing is aided by the addition of GDL to GelMA–dextran ATPS. GDL gradually controls the pH and, because of that, the progression of phase separation. In this way, hydrogels of distinct microporosities can be produced (Fig. S6, SI) and the printed macroscopic patterns can be of high precision and more complex than the casted counterparts. Although the used microvalve has a relatively large diameter of 600 μm, the big droplets that are deposited on the printing surface enable the preservation of the microarchitecture without compromising the shape of the macroscopic 3D printed patterns. A microvalve of a smaller diameter would not be necessary or advantageous in our case, since the targeted length scales of the microstructure are smaller than 250 μm. In this work, inkjet 3D printing is presented as a proof of principle and the printing of more complex structures is an ongoing work. The precise influence of shear forces on the phase separation process remains an important subject for future investigation. Additionally, alternative routes to trigger the GelMA–dextran phase separation under physiological conditions are currently being explored, so that the bioprinting of cell-laden structures is possible.
The gradual decrease in pH resulting from the hydrolysis of GDL into gluconic acid enables a uniform evolution of microscopic patterns throughout the GelMA–dextran solution. As the pH approaches the IEP of GelMA, a well-defined bicontinuous microstructure is formed. At a chosen time point during this phase separation process, UV crosslinking is used to quench the GelMA-rich domains, while the dextran-rich phase can subsequently be removed, resulting in a porous, interconnected network.
Compared to the abrupt and highly localized pH drop induced by manual HCl addition, where acidification occurs almost instantly (<1 min) and is sensitive to handling and experimental conditions, the GDL-based approach offers a more gradual and controllable acidification process. The acidification rate can be fine-tuned by adjusting the concentration of GDL, i.e., a higher GDL concentration or a shift in physicochemical conditions (temperature, initial pH, and ionic strength). Optimal concentrations that facilitate 3D printing lie between 2.5 and 10 mg mL−1, corresponding to a delay time of 60 to 10 minutes, respectively. At very low concentrations of GDL, the buffering capacity of GelMA slows acidification, while excessively high concentrations of GDL lead to instantaneous phase separation similar to the manual acidification method using HCl.
The in situ acidification approach enables the formation of hydrogels with tunable porosity and characteristic length scales, making it highly relevant for tissue engineering applications. By adjusting the size of porosity, this method can accommodate phenotypically distinct cell types with varying dimensions or cells forming clusters and islets.29 The proposed method also enables real-time observation of the evolution of the microstructure in the GelMA–dextran aqueous solution, either alone or in the presence of cells and other biomolecules that could be introduced into the segregating system. Such efforts are beyond the scope of this study, and the presented results serve as a proof of principle; however, they provide a valuable foundation for the further optimization of phase-separating bioinks used in 3D bioprinting. Slowing down the phase separation process could also facilitate additional fundamental studies, potentially offering new insights into the demixing mechanisms of protein-neutral polysaccharide mixtures.
The quantitative analysis of the evolution of the microstructure with time confirms that the delay can be easily adjusted by varying the composition (GelMA–dextran–GDL), temperature or ionic strength of the ATPS. The speed of GDL hydrolysis is not severely affected by these variations. The resulting hydrogels exhibit similar mechanical properties regardless of their microporosity, and the measured shear moduli after UV-induced gelation of the GelMA-rich phase show only minor differences.
This study provides an impactful new tool for 3D printing. The GDL addition to the GelMA–dextran mixture successfully aids the inkjet 3D printing in solution state. The introduced delay enables setting up the printer and also provides an optimized time window of controlled pH decrease and phase separation. The 3D printed pattern of the solution can be complex and precise, while the bicontinuous microstructure is also preserved. The ATPS is quenched by UV light at different stages of spinodal decomposition and after 3D printing and GelMA-based hydrogels with unique interconnected pores of different characteristic length scales are obtained. In a broader sense, these findings suggest that the composition of phase-separating bioniks is closely linked to the processing behavior and application potential of hydrogels.
Supplementary information (SI) is available and includes information on the isoelectric point of GelMA, phase diagrams, comparison of hydrochloric to gluconic acid, reproducibility tests and some additional macroscopic images of hydrogels after inkjet 3D printing. See DOI: https://doi.org/10.1039/d5lp00212e.
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