Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Frictionless multiphasic interface for near-ideal aero-elastic pressure sensing

Abstract

Conventional pressure sensors rely on solid sensing elements. Instead, inspired by the air entrapment phenomenon on the surfaces of submerged lotus leaves, we designed a pressure sensor that uses the solid–liquid–liquid–gas multiphasic interfaces and the trapped elastic air layer to modulate capacitance changes with pressure at the interfaces. By creating an ultraslippery interface and structuring the electrodes at the nanoscale and microscale, we achieve near-friction-free contact line motion and thus near-ideal pressure-sensing performance. Using a closed-cell pillar array structure in synergy with the ultraslippery electrode surface, our sensor achieved outstanding linearity (R2 = 0.99944 ± 0.00015; nonlinearity, 1.49 ± 0.17%) while simultaneously possessing ultralow hysteresis (1.34 ± 0.20%) and very high sensitivity (79.1 ± 4.3 pF kPa−1). The sensor can operate under turbulent flow, in in vivo biological environments and during laparoscopic procedures. We anticipate that such a strategy will enable ultrasensitive and ultraprecise pressure monitoring in complex fluid environments with performance beyond the reach of the current state-of-the-art.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Concept and design of the eAir.
Fig. 2: Dependence of sensing performance on the interfacial wetting properties of microstructures.
Fig. 3: Wetting process and its relationship with contact angle and contact area (θrec> 90°).
Fig. 4: Optimized performance through the synergy of hexagon-wall and pillar-array structures to achieve negligible threshold, low hysteresis and high linearity.
Fig. 5: Applications of eAir for wireless ICP monitoring and laparoscopic tools.

Similar content being viewed by others

Data availability

All data generated or analysed during this study are included in the Article and its Supplementary Information, and are available from the corresponding author upon reasonable request.

References

  1. Liu, M., Wang, S. & Jiang, L. Nature-inspired superwettability systems. Nat. Rev. Mater. 2, 17036 (2017).

    Article  CAS  Google Scholar 

  2. Barthlott, W. & Neinhuis, C. Purity of the sacred lotus, or escape from contamination in biological surfaces. Planta 202, 1–8 (1997).

    Article  CAS  Google Scholar 

  3. Wang, J., Zheng, Y., Nie, F.-Q., Zhai, J. & Jiang, L. Air bubble bursting effect of lotus leaf. Langmuir 25, 14129–14134 (2009).

    Article  CAS  Google Scholar 

  4. Carbone, G. & Mangialardi, L. Hydrophobic properties of a wavy rough substrate. Eur. Phys. J. E 16, 67–76 (2005).

    Article  CAS  Google Scholar 

  5. Gibbs, J. W. The Scientific Papers of J. W. Gibbs (Dover, 1961).

  6. Quéré, D. Wetting and roughness. Annu. Rev. Mater. Res. 38, 71–99 (2008).

    Article  Google Scholar 

  7. Hammock, M. L., Chortos, A., Tee, B. C.-K., Tok, J. B.-H. & Bao, Z. 25th anniversary article: the evolution of electronic skin (e-skin): a brief history, design considerations, and recent progress. Adv. Mater. 25, 5997–6038 (2013).

    Article  CAS  Google Scholar 

  8. Yeh, S.-K., Hsieh, M.-L. & Fang, W. CMOS-based tactile force sensor: a review. IEEE Sens. J. 21, 12563–12577 (2021).

    Article  CAS  Google Scholar 

  9. Kim, Y.-K. et al. Technology development of silicon based CMOS tactile senor for robotics applications. In 2006 IEEE Sensors 734–737 (IEEE, 2006).

  10. Kang, S.-K. et al. Bioresorbable silicon electronic sensors for the brain. Nature 530, 71–76 (2016).

    Article  CAS  Google Scholar 

  11. Shin, J. et al. Bioresorbable pressure sensors protected with thermally grown silicon dioxide for the monitoring of chronic diseases and healing processes. Nat. Biomed. Eng. 3, 37–46 (2019).

    Article  CAS  Google Scholar 

  12. Zhao, Y. et al. Fully flexible electromagnetic vibration sensors with annular field confinement origami magnetic membranes. Adv. Funct. Mater. 30, 2001553 (2020).

    Article  CAS  Google Scholar 

  13. Zhang, X. et al. 3D-printed superhydrophobic and magnetic device that can self-powered sense a tiny droplet impact. Engineering 15, 196–205 (2022).

    Article  Google Scholar 

  14. Lee, J.-H., Yeh, S.-K. & Fang, W. Monolithic/vertical integration of piezo-resistive tactile sensor and inductive proximity sensor using CMOS-MEMS technology. In 2019 IEEE 32nd International Conference on Micro Electro Mechanical Systems (MEMS) 826–829 (IEEE, 2019).

  15. Mannsfeld, S. C. B. et al. Highly sensitive flexible pressure sensors with microstructured rubber dielectric layers. Nat. Mater. 9, 859–864 (2010).

    Article  CAS  Google Scholar 

  16. Yao, H. et al. Near–hysteresis-free soft tactile electronic skins for wearables and reliable machine learning. Proc. Natl Acad. Sci. USA 117, 25352–25359 (2020).

    Article  CAS  Google Scholar 

  17. Ouyang, H. et al. A bioresorbable dynamic pressure sensor for cardiovascular postoperative care. Adv. Mater. 33, 2102302 (2021).

    Article  CAS  Google Scholar 

  18. Xu, R. et al. Superhydrophobic WS2-nanosheet-wrapped sponges for underwater detection of tiny vibration. Adv. Sci. 5, 1700655 (2018).

    Article  Google Scholar 

  19. Gao, Y. et al. Hydrogel microphones for stealthy underwater listening. Nat. Commun. 7, 12316 (2016).

    Article  CAS  Google Scholar 

  20. Tang, L. et al. Ultraminiature and flexible sensor based on interior corner flow for direct pressure sensing in biofluids. Small 15, 1900950 (2019).

    Article  Google Scholar 

  21. Starr, P., Bartels, K., Agrawal, C. M. & Bailey, S. A thin-film pressure transducer for implantable and intravascular blood pressure sensing. Sens. Actuators Phys. 248, 38–45 (2016).

    Article  CAS  Google Scholar 

  22. Luo, X. & Gianchandani, Y. B. A 100 μm diameter capacitive pressure sensor with 50 MPa dynamic range. J. Micromech. Microeng. 26, 045009 (2016).

    Article  Google Scholar 

  23. Wong, T.-S. et al. Bioinspired self-repairing slippery surfaces with pressure-stable omniphobicity. Nature 477, 443–447 (2011).

    Article  CAS  Google Scholar 

  24. Hong, W. et al. An ultraminiature and flexible pressure sensor based on electrical-double-layer capacitance for catheter-tip applications. In 2018 IEEE Micro Electro Mechanical Systems (MEMS) 451–454 (IEEE, 2018).

  25. Shin, J. et al. Bioresorbable optical sensor systems for monitoring of intracranial pressure and temperature. Sci. Adv. 5, eaaw1899 (2019).

    Article  CAS  Google Scholar 

  26. Bain, C. D. et al. Formation of monolayer films by the spontaneous assembly of organic thiols from solution onto gold. J. Am. Chem. Soc. 111, 321–335 (1989).

    Article  CAS  Google Scholar 

  27. Chiku, M. In Encyclopedia of Applied Electrochemistry (eds. Kreysa, G. et al.) 384–386 (Springer, 2014).

  28. Nawi, M. N. M., Manaf, A. A., Rahman, M. F. A., Arshad, M. R. & Sidek, O. One-side-electrode-type fluidic-based capacitive pressure sensor. IEEE Sens. J. 15, 1738–1746 (2015).

    Article  CAS  Google Scholar 

  29. Murakami, D., Jinnai, H. & Takahara, A. Wetting transition from the Cassie–Baxter state to the Wenzel state on textured polymer surfaces. Langmuir 30, 2061–2067 (2014).

    Article  CAS  Google Scholar 

  30. Oliver, J. F., Huh, C. & Mason, S. G. Resistance to spreading of liquids by sharp edges. J. Colloid Interface Sci. 59, 568–581 (1977).

    Article  CAS  Google Scholar 

  31. Papadopoulos, P., Mammen, L., Deng, X., Vollmer, D. & Butt, H.-J. How superhydrophobicity breaks down. Proc. Natl Acad. Sci. USA 110, 3254–3258 (2013).

    Article  CAS  Google Scholar 

  32. Nosonovsky, M. Multiscale roughness and stability of superhydrophobic biomimetic interfaces. Langmuir 23, 3157–3161 (2007).

    Article  CAS  Google Scholar 

  33. Öner, D. & McCarthy, T. J. Ultrahydrophobic surfaces. Effects of topography length scales on wettability. Langmuir 16, 7777–7782 (2000).

    Article  Google Scholar 

  34. Abbott, N. L., Folkers, J. P. & Whitesides, G. M. Manipulation of the wettability of surfaces on the 0.1- to 1-micrometer scale through micromachining and molecular self-assembly. Science 257, 1380–1382 (1992).

    Article  CAS  Google Scholar 

  35. Wang, J. et al. Viscoelastic solid-repellent coatings for extreme water saving and global sanitation. Nat. Sustain. 2, 1097–1105 (2019).

    Article  Google Scholar 

  36. Villegas, M., Zhang, Y., Abu Jarad, N., Soleymani, L. & Didar, T. F. Liquid-infused surfaces: a review of theory, design, and applications. ACS Nano 13, 8517–8536 (2019).

    Article  CAS  Google Scholar 

  37. Rangel-Castillo, L., Gopinath, S. & Robertson, C. S. Management of intracranial hypertension. Neurol. Clin. 26, 521–541 (2008).

    Article  Google Scholar 

  38. Sunny, S. et al. Transparent antifouling material for improved operative field visibility in endoscopy. Proc. Natl Acad. Sci. USA 113, 11676–11681 (2016).

    Article  CAS  Google Scholar 

  39. Over 13 Million Laparoscopic Procedures Are Performed Globally Every Year (iData Research, 2020); https://idataresearch.com/over-13-million-laparoscopic-procedures-are-performed-globally-every-year/

  40. Tang, B., Hanna, G. B., Joice, P. & Cuschieri, A. Identification and categorization of technical errors by observational clinical human reliability assessment (OCHRA) during laparoscopic cholecystectomy. Arch. Surg. 139, 1215–1220 (2004).

    Article  CAS  Google Scholar 

  41. Khan, A. F. et al. Tissue stress from laparoscopic grasper use and bowel injury in humans: establishing intraoperative force boundaries. BMJ Surg. Interv. Health Technol. 3, e000084 (2021).

    Article  Google Scholar 

  42. Kaplan, J., Sosnovskaya, Y., Arnold, M. & Hannaford, B. Sensor Fusion for force and position calibration of a motorized surgical smart grasper. in 2021 International Symposium on Medical Robotics (ISMR) 1–7 (IEEE, 2021); https://doi.org/10.1109/ISMR48346.2021.9661520

  43. Sun, K. et al. Development of a fiber Bragg grating-enabled clamping force sensor integrated on a grasper for laparoscopic surgery. IEEE Sens. J. 21, 16681–16690 (2021).

    Article  CAS  Google Scholar 

  44. Tang, B., Hanna, G. B. & Cuschieri, A. Analysis of errors enacted by surgical trainees during skills training courses. Surgery 138, 14–20 (2005).

    Article  CAS  Google Scholar 

  45. Bohn, H. F. & Federle, W. Insect aquaplaning: Nepenthes pitcher plants capture prey with the peristome, a fully wettable water-lubricated anisotropic surface. Proc. Natl Acad. Sci. USA 101, 14138–14143 (2004).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work is supported by the National Foundation Research Fellowship (NRFF-2017-08 to B.C.K.T.), National Robotics Programme - Robotics Enabling Capabilities and Technologies (RECT) grant (W2025d0244 to B.C.K.T.) and the Agency for Science Technology and Research A*STAR (A20H8a0241 to B.C.K.T.). X.W. is supported by the National University of Singapore Research Scholarship. We thank Z. W. Lim and J. T. Teo for assistance with the pressure characterization tests.

Author information

Authors and Affiliations

Authors

Contributions

B.C.K.T., J.S.H., W.C., X.W. and Z.X. conceived the project. B.C.K.T. supervised the project. W.C. initiated the idea of using conductive hydrophobic 3D structures, the elasticity of air and EDL to construct a pressure sensor. W.C., X.W., B.C.K.T. and J.S.H., designed the experiments. W.C. and X.W. performed the experiments, and collected and analysed the data. Z.X. designed and carried out experiments for wireless sensing. Z.X. and Y.J. performed the in vivo animal experiments. J.L. and Z.L. conducted the computational fluid dynamics simulation. X.W. and W.C. introduced the use of slippery surfaces. X.W., W.C. and H.Y. performed device fabrication and surface characterization. Z.X., W.C. and X.W. contributed to designing and conducting the confocal imaging. W.C., X.W., B.C.K.T., Z.X., J.S.H. and T.-S.W. co-wrote the paper. All authors discussed the results and commented on the paper.

Corresponding author

Correspondence to Benjamin C. K. Tee.

Ethics declarations

Competing interests

B.C.K.T., C.W. and W.X.Y. are inventors on a patent filing on the pressure sensor devices described in the paper. T.S.W. is an inventor on a number of issued patents and patent applications on liquid-infused surface coating technologies including slippery liquid-infused porous surfaces and liquid-entrenched smooth surfaces that have been licensed to Adaptive Surface Technologies (AST) and spotLESS Materials Inc., respectively. In addition, T.-S.W. is a co-founder of spotLESS Materials Inc.

Peer review

Peer review information

Nature Materials thanks Li Tan and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Devices with different types of structures and their performance under varying liquid pressure over multiple cycles.

a, Photo of a “lotus leaf sensor” and SEM image of the lotus leaf surface. b, c, Capacitance response of the “lotus leaf sensor” under varying liquid pressure over multiple cycles. The sensor showed unstable sensing performance with large thresholds and hysteresis. d, SEM image of a pillar-array structure. e, f, Capacitance response of a hydrophilic pillar-array device under varying pressure over multiple cycles. A saturation at small pressure occurred (< 5 kPa), and no unloading response was shown due to the irreversible wetting on the hydrophilic surface of the pillars after fully wetted. Contact angle of hydrophilic gold surface is measured as 60.9 ± 2.4°. This suggests that hydrophobic surfaces are essential to establish a pressure-sensitive air layer. g, Optical image of water-air interface in an ODT treated hydrophobic pillar-array structure, showing the non-uniform underwater wetting condition. h, i, Capacitance response of ODT treated hydrophobic pillar-array device under varying liquid pressure over multiple cycles. j, SEM image of a hexagon-array structure. k, l, Capacitance response of ODT treated hydrophobic hexagon-array structure sensor under varying liquid pressure over multiple cycles. The results showed that the repeatability between different cycles was greatly improved compared to the pillar-array structure sensor. Contact angle of hydrophobic gold/ODT surface is measured as 107.3 ± 0.5°.

Extended Data Fig. 2 Surface roughness characterization.

a, Atomic force microscope (AFM) image of surface IV (without oil) and surface I (with oil). The root mean square (r.m.s) roughness decreased from 34.2 nm to 1.1 nm after oil coating, showing a more slippery and smoother surface. b-d, SEM image of surface II, III and IV. e, The relationship between total layer thickness of the surface treatment (PAni/Cr/Au/ODT) and PAni growth time. The data points represent the mean values, and the error bars represent s.d. (5 samples).

Extended Data Fig. 3 Simulation results of hexagon-array devices (inner hexagon chambers side length 40 µm, first loading and unloading cycle).

a, c, e, g, Matching of simulated contact area and measured capacitance of hexagon-array devices treated with surface I - IV, respectively. b, d, f, h, States of water-air interface under different liquid pressures in a hexagon unit chamber treated with surface I - IV, respectively.

Extended Data Fig. 4 Wetting process with receding angle smaller than the initial contact angle in a hexagon chamber (θrec<90°).

a, Illustration of a cross-section of the simplified wetting process in a hexagon chamber under varying liquid pressure when the receding angle is smaller than the initial contact angle (θ0, close to 90°). The background colours represent different regions of the process. A wetting cycle of loading and unloading pressure in a hexagon chamber was considered as four Regions (A-D) with five turning states (S1-S5). CL, contact Line. F, capillary force. The black arrows indicate the moving direction of the liquid. b, c, Relationship between the change of liquid pressure against the contact angle and contact area (or capacitance) during the wetting process. The red solid lines represent the first testing cycle. The blue dash lines represent the second testing cycle which shows a different response behaviour compared to the first cycle.

Extended Data Fig. 5 Effect of dimension variation of hexagon structural devices on forward threshold.

a-d, SEM images of hexagon device structures with different chamber sizes, the inner side lengths of the regular hexagon holes are 20 μm, 40 µm, 70 µm, and 560 µm, respectively. The insets in a and b are the partial enlargements of the corresponding SEM image. All the structures have the same hole depth of 500 μm. The multi-honeycomb structures have a wall thickness of 10 μm, while the single honeycomb structure has a thicker wall of 50 μm. The number of holes of regular hexagon structural devices are 547, 169, 61 and 1, respectively. e, Forward threshold pressure varies with hexagon devices with different hexagon hole sizes. These devices were treated with surface I. The forward threshold is determined by the capillary pressure and the entrapped air pressure at the point where the contact line starts to move. The data are represented as mean values ± s.d. (3 devices) with the corresponding data points overlapped.

Extended Data Fig. 6 SEM images of PAni nanowires with/without sputtered gold at different depths of designed hexagon-walled pillar-array structure.

a, SEM images of PAni nanowires without gold sputtered. b, SEM images of PAni nanowires with gold sputtered. The SEM images show the gold sputtering at different depth positions on a pillar at different magnifications. The nanostructures of PAni nanowires w/wo metal sputtered are evenly distributed on the surface of designed complex 3D microstructures. This uniform nanostructures with further ODT treatments are hydrophobic and oleophilic which provide an excellent oil-locking ability to form ultra-slippery surfaces on pillars.

Extended Data Fig. 7 Confocal images of hexagon-walled pillar-array structure at two cross sections (A and B) during loading and unloading underwater pressure.

The green region of fluorescence signal represents water, the red signal is the reflection from the water-air interface or the water-electrode interface, and the black region is air. This series of images shows water-air interface movement during water wetting process in the hexagon-walled pillar-array structure.

Extended Data Fig. 8 Effect of dimension variation on sensing performances of eAir.

a-c, SEM images of hexagon-walled pillar-array device structures with different pillar densities, the centre-to-centre spacings of the adjacent pillars are 37.5 µm, 50 µm, and 100 µm, respectively. d-f, Sensitivity, hysteresis, and linearity (R2) performance of hexagon-walled pillar-array devices with different pillar densities. These devices were treated with surface I. The data are represented as mean values ± s.d. (3 devices) with the corresponding data points overlapped.

Extended Data Fig. 9 Performance of devices with varying designs and testing orientations, and the encapsulation.

a, Performance differences between devices with single hexagon, pillar array, and hexagon-walled pillar-array structures in the range of 0–15 kPa. All devices were treated with surface I. The performance of eAir is significantly improved with the combination design of single hexagon chamber and pillar array. b, Capacitance response of eAir tested at different facing orientations against gravity. eAir maintains high linearity, low hysteresis, and consistent sensitivity performance with different facing orientations. c, Comparison of sensing performance of a device exposed to bovine serum albumin (BSA) solution, and with encapsulation, respectively. d, Photo of a device encapsulated with Ecoflex/Parylene dome with 1× PBS solution filled inside. e, Performance of the device before and after encapsulation. Note the encapsulated device was tested in BSA to demonstrate the advantage of encapsulation when operating in complex liquid environments. f, Cyclic test in the range of 0–10 kPa before and after encapsulation.

Extended Data Table 1 The surface modifications, wetting properties, and the performance of hexagon-array devices with corresponding surfaces

Supplementary information

Supplementary Information

Supplementary Table 1, Notes 1–11 and Figs. 1–23.

Reporting Summary

Supplementary Video 1

Existence of air layers on underwater lotus leaf surface.

Supplementary Video 2

Structure optimization from hexagon to hexagon-walled pillar-array structures for performance improvements.

Supplementary Video 3

Performance test of eAir under turbulent flow.

Supplementary Video 4

Laparoscopic grasper with eAirs

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cheng, W., Wang, X., Xiong, Z. et al. Frictionless multiphasic interface for near-ideal aero-elastic pressure sensing. Nat. Mater. 22, 1352–1360 (2023). https://doi.org/10.1038/s41563-023-01628-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41563-023-01628-8

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing