journal article·2026-07-17

Jammed interconnected bilayer emulsions as 3D-printable biological tissue mimics

Aida Fica, McKayla Torbett-Dougherty, Samuel West, Malika Rao, Raman Dhiman, Jun Wang, Yang Gao, Yu-Ming Tu, Harekrushna Behera, Claude Roc, Kyler Grogan, Alexandra Beaver, Chang Liu, Alexander Jui-An Lin, Brian Belardi, Benjamin K. Keitz, Robert J. Hickey, Zunlong Ke, Adrianne M. Rosales, Berkin Dortdivanlioglu, Stephen A. Sarles, Manish Kumar

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Abstract

Here we present jammed interconnected bilayer emulsions (JIBEs) as a class of tissue-like materials with macroscopic scalability, comprising billions of bilayer-separated aqueous compartments per millilitre. These materials mimic the organizational structure and properties of biological tissues. Our self-assembly method generates up to decilitre-scale volumes of JIBEs within minutes. The process is highly adaptable to a wide range of amphiphiles, including lipids and block copolymers, providing flexibility in tailoring JIBEs for diverse applications. The jammed architecture of JIBEs imparts unique properties, such as direct extrusion 3D printability into aqueous solutions. Their membrane-bound structure allows functionalization with nanochannels, enabling the material to adopt the properties of the incorporated channels. In this study, we demonstrate three key features of JIBEs using distinct ion channels: tunable conductance, selective transport and memristance. We propose that functionalized JIBEs could unlock a broad range of applications, including separations, energy storage, neuromorphic computing, tissue engineering, drug delivery and soft robotics.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Pickering emulsions and particle stabilization · Lipid Membrane Structure and Behavior · Block Copolymer Self-Assembly

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (62)

Show source-provided references
1. Rus, D. & Tolley, M. T. Design, fabrication and control of soft robots. Nature 521, 467–475 (2015).10.1038/nature14543 ↗
2. Dahiya, R., Oddo, C., Mazzoni, A. & Jörntell, H. in Biomimetic Technologies (ed Trung, D. N.) 69–91 (Woodhead Publishing, 2015).10.1016/B978-0-08-100249-0.00004-5 ↗
3. Shen, Y.-X., Saboe, P. O., Sines, I. T., Erbakan, M. & Kumar, M. Biomimetic membranes: a review. J. Membr. Sci. 454, 359–381 (2014).10.1016/j.memsci.2013.12.019 ↗
4. Marković, D., Mizrahi, A., Querlioz, D. & Grollier, J. Physics for neuromorphic computing. Nat. Rev. Phys. 2, 499–510 (2020).10.1038/s42254-020-0208-2 ↗
5. Bayley, H., Cazimoglu, I. & Hoskin, C. E. G. Synthetic tissues. Emerg. Top. Life Sci. 3, 615–622 (2019).10.1042/ETLS20190120 ↗
6. Lin, A. J., Sihorwala, A. Z. & Belardi, B. Engineering tissue-scale properties with synthetic cells: forging one from many. ACS Synth. Biol. 12, 1889–1907 (2023).10.1021/acssynbio.3c00061 ↗
7. Mukwaya, V., Mann, S. & Dou, H. Chemical communication at the synthetic cell/living cell interface. Commun. Chem. 4, 161 (2021).10.1038/s42004-021-00597-w ↗
8. Wang, X., Du, H., Wang, Z., Mu, W. & Han, X. Versatile phospholipid assemblies for functional synthetic cells and artificial tissues. Adv. Mater. 33, 2002635 (2021).10.1002/adma.202002635 ↗
9. Villar, G., Graham, A. D. & Bayley, H. A tissue-like printed material. Science 340, 48–52 (2013).10.1126/science.1229495 ↗
10. Allen-Benton, M., Findlay, H. E. & Booth, P. J. Probing membrane protein properties using droplet interface bilayers. Exp. Biol. Med. 244, 709–720 (2019).10.1177/1535370219847939 ↗
11. Luo, J., Remy, A. & Zhang, Y. Iontronic devices from biological nanopores to artificial systems: emerging applications and future perspectives. Chem. Rev. 125, 11840–11877 (2025).10.1021/acs.chemrev.5c00579 ↗
12. Zhang, Y., Tan, C. M. J., Toepfer, C. N., Lu, X. & Bayley, H. Microscale droplet assembly enables biocompatible multifunctional modular iontronics. Science 386, 1024–1030 (2024).10.1126/science.adr0428 ↗
13. Li, Z., Feng, J., Xiao, J., Leuski, A. & Noy, A. Synaptic functionality and neuromorphic information processing in membrane ion channel junctions. Adv. Mater. 38, e19525 (2026).10.1002/adma.202519525 ↗
14. Alcinesio, A. et al. Modular synthetic tissues from 3D-printed building blocks. Adv. Funct. Mater. 32, 2107773 (2022).10.1002/adfm.202107773 ↗
15. Foudazi, R., Qavi, S., Masalova, I. & Malkin, A. Y. Physical chemistry of highly concentrated emulsions. Adv. Colloid Interface Sci. 220, 78–91 (2015).10.1016/j.cis.2015.03.002 ↗
16. Babak, V. G. & Stébé, M.-J. Highly concentrated emulsions: physicochemical principles of formulation. J. Dispersion Sci. Technol. 23, 1–22 (2002).10.1080/01932690208984184 ↗
17. Yang, Z., Snyder, D., Sathyan, A., Balazs, A. & Emrick, T. Smart droplets stabilized by designer surfactants: from biomimicry to active motion to materials healing. Adv. Funct. Mater. 33, 2306819 (2023).10.1002/adfm.202306819 ↗
18. Levental, I., Georges, P. C. & Janmey, P. A. Soft biological materials and their impact on cell function. Soft Matter 3, 299–306 (2007).10.1039/B610522J ↗
19. Cameron, N. R. & Sherrington, D. C. in Biopolymers Liquid Crystalline Polymers Phase Emulsion Advances in Polymer Science (eds Abe, A. et al.) 163–214 (Springer, 1996).10.1007/3-540-60484-7_4 ↗
20. Letteri, R. A., Santa Chalarca, C. F., Bai, Y., Hayward, R. C. & Emrick, T. Forming sticky droplets from slippery polymer zwitterions. Adv. Mater. 29, 1702921 (2017).10.1002/adma.201702921 ↗
21. Wu, B. et al. Attractive pickering emulsion gels. Adv. Mater. 33, 2102362 (2021).10.1002/adma.202102362 ↗
22. Ho, T. M., Razzaghi, A., Ramachandran, A. & Mikkonen, K. S. Emulsion characterization via microfluidic devices: A review on interfacial tension and stability to coalescence. Adv. Colloid Interface Sci. 299, 102541 (2022).10.1016/j.cis.2021.102541 ↗
23. Thiam, A. R., Bremond, N. & Bibette, J. From stability to permeability of adhesive emulsion bilayers. Langmuir 28, 6291–6298 (2012).10.1021/la3003349 ↗
24. Torbett-Dougherty, M., Fica, A., Kumar, M. & Sarles, S. A. Spontaneous formation of oil-rich polymer-only droplet interface bilayers assembled from PB-PEO block copolymers. Langmuir https://doi.org/10.1021/acs.langmuir.5c03308 (2025).10.1021/acs.langmuir.5c03308 ↗
25. Taylor, G. J., Venkatesan, G. A., Collier, C. P. & Sarles, S. A. Direct in situ measurement of specific capacitance, monolayer tension, and bilayer tension in a droplet interface bilayer. Soft Matter 11, 7592–7605 (2015).10.1039/C5SM01005E ↗
26. Almgren, M., Edwards, K. & Karlsson, G. Cryo transmission electron microscopy of liposomes and related structures. Colloids Surf. A 174, 3–21 (2000).10.1016/S0927-7757(00)00516-1 ↗
27. Cox, G. & Sheppard, C. J. R. Practical limits of resolution in confocal and non-linear microscopy. Microsc. Res. Tech. 63, 18–22 (2004).10.1002/jemt.10423 ↗
28. Rideau, E., Dimova, R., Schwille, P., Wurm, F. R. & Landfester, K. Liposomes and polymersomes: a comparative review towards cell mimicking. Chem. Soc. Rev. 47, 8572–8610 (2018).10.1039/C8CS00162F ↗
29. Nazir, A., Schroën, K. & Boom, R. Premix emulsification: a review. J. Membr. Sci. 362, 1–11 (2010).10.1016/j.memsci.2010.06.044 ↗
30. Barlow, N. E. et al. Measuring bilayer surface energy and curvature in asymmetric droplet interface bilayers. J. R. Soc. Interface 15, 20180610 (2018).10.1098/rsif.2018.0610 ↗
31. Alcinesio, A. et al. Controlled packing and single-droplet resolution of 3D-printed functional synthetic tissues. Nat. Commun. 11, 2105 (2020).10.1038/s41467-020-15953-y ↗
32. Heberle, F. A. et al. Direct label-free imaging of nanodomains in biomimetic and biological membranes by cryogenic electron microscopy. Proc. Natl Acad. Sci. USA 117, 19943–19952 (2020).10.1073/pnas.2002200117 ↗
33. Wang, L., Bose, P. S. & Sigworth, F. J. Using cryo-EM to measure the dipole potential of a lipid membrane. Proc. Natl Acad. Sci. USA 103, 18528–18533 (2006).10.1073/pnas.0608714103 ↗
34. Beltramo, P. J., Scheidegger, L. & Vermant, J. Toward realistic large-area cell membrane mimics: excluding oil, controlling composition, and including ion channels. Langmuir 34, 5880–5888 (2018).10.1021/acs.langmuir.8b00837 ↗
35. Kihara, H., Sato, M. & Kawano, R. Reconstitution of nanopores in bilayers of diblock and triblock copolymers. Phys. Chem. Chem. Phys. 27, 12483–12493 (2025).10.1039/D4CP04782F ↗
36. Lee, A. G. Lipid–protein interactions in biological membranes: a structural perspective. Biochim. Biophys. Acta 1612, 1–40 (2003).10.1016/S0005-2736(03)00056-7 ↗
37. Santoni, S., Gugliandolo, S. G., Sponchioni, M., Moscatelli, D. & Colosimo, B. M. 3D bioprinting: current status and trends—a guide to the literature and industrial practice. Bio-Des. Manuf. 5, 14–42 (2022).10.1007/s42242-021-00165-0 ↗
38. Shen, Y. -x et al. Achieving high permeability and enhanced selectivity for Angstrom-scale separations using artificial water channel membranes. Nat. Commun. 9, 2294 (2018).10.1038/s41467-018-04604-y ↗
39. Tu, Y.-M. et al. Rapid fabrication of precise high-throughput filters from membrane protein nanosheets. Nat. Mater. 19, 347–354 (2020).10.1038/s41563-019-0577-z ↗
40. Zhao, Y., Wang, Y.-N., Lai, G. S., Torres, J. & Wang, R. Proteoliposome-incorporated seawater reverse osmosis polyamide membrane: is the aquaporin water channel effect in improving membrane performance overestimated? Environ. Sci. Technol. 56, 5179–5188 (2022).10.1021/acs.est.1c08857 ↗
41. Heitz, F. & Gavach, C. Ca2+–gramicidin A interactions and blocking effects on the ionic channel. Biophys. Chem. 18, 153–163 (1983).10.1016/0301-4622(83)85010-8 ↗
42. Andersen, O. S. Ion movement through gramicidin A channels. Studies on the diffusion-controlled association step. Biophys. J. 41, 147–165 (1983).10.1016/S0006-3495(83)84416-6 ↗
43. Myers, V. B. & Haydon, D. A. Ion transfer across lipid membranes in the presence of gramicidin A: II. The ion selectivity. Biochim. Biophys. Acta 274, 313–322 (1972).10.1016/0005-2736(72)90179-4 ↗
44. Leptihn, S. et al. Constructing droplet interface bilayers from the contact of aqueous droplets in oil. Nat. Protoc. 8, 1048–1057 (2013).10.1038/nprot.2013.061 ↗
45. Chen, W., Akinyemi, P. & Kim, T. Selective separation of ammonium from wastewater using ion conducting channels of a prussian blue analogue. Environ. Sci. Technol. Lett. 11, 280–286 (2024).10.1021/acs.estlett.3c00932 ↗
46. Doyle, D. A. et al. The Structure of the potassium channel: molecular basis of K+ conduction and selectivity. Science 280, 69–77 (1998).10.1126/science.280.5360.69 ↗
47. Chua, L. Memristor—the missing circuit element. IEEE Trans. Circuit Theory 18, 507–519 (1971).10.1109/TCT.1971.1083337 ↗
48. Robin, P. et al. Long-term memory and synapse-like dynamics in two-dimensional nanofluidic channels. Science 379, 161–167 (2023).10.1126/science.adc9931 ↗
49. Noy, A. & Darling, S. B. Nanofluidic computing makes a splash. Science 379, 143–144 (2023).10.1126/science.adf6400 ↗
50. Najem, J. S. et al. Memristive ion channel-doped biomembranes as synaptic mimics. ACS Nano 12, 4702–4711 (2018).10.1021/acsnano.8b01282 ↗
51. Maraj, J. J., Haughn, K. P. T., Inman, D. J. & Sarles, S. A. Sensory adaptation in biomolecular memristors improves reservoir computing performance. Adv. Intell. Syst. 5, 2300049 (2023).10.1002/aisy.202300049 ↗
52. Makhoul-Mansour, M. M., Maraj, J. J. & Sarles, S. A. Bioderived materials for stimuli-responsive, adaptive, and neuromorphic systems: a perspective. J. Compos. Mater. 57, 659–678 (2023).10.1177/00219983221135055 ↗
53. Venkatesan, G. A. & Sarles, S. A. Droplet immobilization within a polymeric organogel improves lipid bilayer durability and portability. Lab Chip 16, 2116–2125 (2016).10.1039/C6LC00391E ↗
54. Volkov, A. G. et al. Memristors in plants. Plant Signal. Behav. 9, e28152 (2014).10.4161/psb.28152 ↗
55. Sun, B. et al. A unified capacitive-coupled memristive model for the nonpinched current–voltage hysteresis loop. Nano Lett. 19, 6461–6465 (2019).10.1021/acs.nanolett.9b02683 ↗
56. Markin, V. S., Volkov, A. G. & Chua, L. An analytical model of memristors in plants. Plant Signal. Behav. 9, e972887 (2014).10.4161/15592316.2014.972887 ↗
57. Gonzalez-Magaldi, M. et al. Structure and organization of full-length epidermal growth factor receptor in extracellular vesicles by cryo-electron tomography. Proc. Natl Acad. Sci. USA 122, e2424678122 (2025).10.1073/pnas.2424678122 ↗
58. Mastronarde, D. N. Automated electron microscope tomography using robust prediction of specimen movements. J. Struct. Biol. 152, 36–51 (2005).10.1016/j.jsb.2005.07.007 ↗
59. Burt, A. et al. An image processing pipeline for electron cryo-tomography in RELION-5. FEBS Open Bio 14, 1788–1804 (2024).10.1002/2211-5463.13873 ↗
60. Zivanov, J. et al. A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0. Elife 11, e83724 (2022).10.7554/eLife.83724 ↗
61. Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017).10.1038/nmeth.4193 ↗
62. Qazi, T. H., Muir, V. G. & Burdick, J. A. Methods to characterize granular hydrogel rheological properties, porosity, and cell invasion. ACS Biomater. Sci. Eng. 8, 1427–1442 (2022).10.1021/acsbiomaterials.1c01440 ↗