Open Access Article
Erica Pensini
*a and
Alejandro G. Marangoni
b
aDepartment of Civil Engineering, University of Guelph, Guelph, Ontario, Canada. E-mail: epensini@uoguelph.ca
bDepartment of Food Science, University of Guelph, Guelph, Ontario, Canada
First published on 31st March 2026
Water-rich, self-assembled amphiphile gels have recently been reported to exhibit electrical responses under mechanical deformation and hysteretic cyclic voltammetry behavior, leading to their interpretation as piezoelectric or ferroelectric soft materials. Such claims are particularly compelling given the relevance of hydrated, compliant electromechanical materials to biological, biomedical, and soft-sensing applications. However, in ion-containing soft matter, the electrical signatures commonly used to infer piezoelectricity are not uniquely diagnostic and may arise from multiple coupled mechanisms. Here, we re-examine the electromechanical behavior of fatty acid–amine, fatty acid–amino acid, and surfactant–fatty alcohol hydrogels previously described as piezoelectric. We show that capacitive cyclic voltammetry responses and mechanically induced voltage or current transients can be rationalized within a broader framework of electromechanical coupling in hydrated ionic gels, encompassing electrokinetic charge redistribution, electrode double-layer and interfacial effects, and strain-dependent dielectric responses, in addition to intrinsic polarization. As an instructive non-amphiphile comparator, ionotropically crosslinked carboxymethyl cellulose gels exhibit closely analogous electrical signatures only in the presence of multivalent ionic crosslinkers, reinforcing the non-uniqueness of piezoelectric interpretations in hydrated ionic systems. To clarify these distinctions, we introduce a minimal coupled electromechanical model that explicitly separates instantaneous elastic polarization from rate-dependent ionic contributions and identifies their distinct experimental signatures. We further propose discriminating experiments required to unambiguously distinguish intrinsic piezoelectricity from electrokinetic and interfacial effects. This reassessment does not diminish the functional relevance of these materials; rather, it provides a rigorous mechanistic foundation for their continued development as soft electromechanical transducers for sensing, biointerfacing, and biomedical applications.
In recent years, several classes of self-assembled amphiphile gels and polymeric hydrogels have been reported to exhibit electrical responses under mechanical deformation and hysteretic features in cyclic voltammetry (CV) measurements.7–12 These systems include fatty acid–amine and fatty acid–amino acid hydrogels, surfactant–fatty alcohol–water gels, and crosslinked polymer hydrogels.7–10,12 They are typically characterized by high water content, ionic character, and mesoscopic order (e.g., lamellar or ribbon-like assemblies). Mechanically induced voltage or current signals, together with capacitive or hysteretic current–voltage responses, have motivated interpretations in terms of piezoelectricity and, in some cases, ferroelectric-like behavior—an especially compelling conclusion given the scarcity of water-rich materials exhibiting intrinsic polarization-based electromechanical transduction.
However, in ion-containing soft matter, the electrical signatures commonly used to infer piezoelectricity are not uniquely diagnostic.13 Bone provides a useful example: while collagen is intrinsically piezoelectric, electrical signals measured during mechanical loading of hydrated bone can also arise from electrokinetic mechanisms such as streaming potentials associated with fluid flow.14 Macroscopic “piezoelectric” measurements on wet bone should therefore be interpreted as potentially composite mechanoelectric responses. In hydrated gels, CV can be strongly influenced by electrical double-layer charging at electrode interfaces, electrode polarization, and ionic migration within the material.15 Likewise, electrical signals generated during mechanical deformation may arise not only from intrinsic polarization but also from strain- or pressure-driven ion redistribution, as well as changes in electrode–gel contact conditions during loading.16,17 These coupled processes can produce reproducible electrical responses that closely resemble piezoelectric-like signatures, particularly in compliant, highly hydrated systems. Critically, such contributions can also account for systematic dependencies on loading rate, ionic strength, and electrode material that are difficult to reconcile with a purely intrinsic piezoelectric origin.
Accordingly, cyclic voltammetry and stress-generated electrical measurements, while useful screening tools, cannot—when considered in isolation—be taken as definitive proof of intrinsic piezoelectric polarization in hydrated ionic soft matter.
In our previous studies, “piezoelectricity” was used as an operational descriptor for the electromechanical behavior of self-assembled amphiphile gels and crosslinked polymer hydrogels based on these experimentally accessible signatures.7,9,10,12 While this terminology was consistent with prevailing interpretations in related areas, it is timely to examine whether the available evidence uniquely supports an intrinsic piezoelectric origin, or whether a broader framework of electromechanical coupling provides a more consistent physical description.
The objective of the present work is therefore not to discount the functional relevance of electromechanical responses in these materials, but to clarify their mechanistic origin. We re-examine fatty acid–amine, fatty acid–amino acid, and surfactant–fatty alcohol hydrogels within a unified framework that explicitly accounts for ionic transport, interfacial effects, and viscoelasticity alongside possible intrinsic polarization. By highlighting the non-uniqueness of commonly used piezoelectric indicators in hydrated ionic gels, we aim to establish a more rigorous basis for interpreting experimental observations.
To this end, we first summarize the electromechanical signatures reported across these amphiphile gel systems, focusing on their shared phenomenology. We then discuss why CV and mechanically induced electrical signals are insufficient, on their own, to establish intrinsic piezoelectricity in water-rich soft matter. Building on this analysis, we introduce a minimal coupled electromechanical model that separates instantaneous elastic polarization from rate-dependent ionic contributions and predicts distinct experimental signatures for each mechanism. Finally, we outline discriminating experimental strategies required to resolve these contributions in future studies.
By reframing the discussion in terms of electromechanical coupling rather than categorical material classification, this work provides a foundation for the rational development of soft, hydrated electromechanical materials. Regardless of the dominant microscopic mechanism, the ability of these systems to transduce mechanical deformation into electrical signals remains of significant interest for sensing, biointerfacing, and biomedical applications.
Electrically, these systems displayed reproducible hysteretic current–voltage loops in cyclic voltammetry, often described as predominantly capacitive. Nonzero current near zero applied potential and scan-rate-dependent loop shapes were observed, with additional sensitivity to electrode configuration. These features were interpreted as indicative of polarization-related charging processes.
Under uniaxial compression between electrodes, transient electrical signals—reported as voltage in open-circuit configurations or current in short-circuit configurations—were detected. Signals typically appeared upon application or release of load and decayed over time after unloading (i.e., once the applied force was removed), with relaxation typically occurring over seconds to minutes. The generation of electrical transients in the absence of an externally applied field motivated interpretation in terms of piezoelectric responses.
Similar to the fatty acid–amine and fatty acid–amino acid gels, surfactant–fatty alcohol hydrogels exhibited hysteretic cyclic voltammetry responses consistent with capacitive behavior. Electrical signals were again generated upon mechanical compression and release, with magnitudes and temporal profiles that depended on temperature and loading conditions; decay after unloading typically occurred over seconds to minutes. The observation of analogous behavior in chemically distinct amphiphile systems suggested that the underlying phenomenon is not specific to a particular molecular pairing, but instead associated with broader features such as ionic character, hydration, and self-assembled structure.
In our measurements, CMC hydrogels prepared with CuCl2 exhibit (i) stable, repeatable current generation under cyclic pressure loading and (ii) reproducible hysteretic current–voltage responses under cyclic voltammetry, including nonzero current near zero applied potential. These features are not observed in the absence of CuCl2, indicating that multivalent-ion coordination and the resulting ionic environment are essential to the observed electromechanical response.10 In addition, the response depends on the ionic crosslinking environment rather than arising generically from the polymer itself: published measurements showed that CMC gels crosslinked with CuSO4 were markedly less capacitive and less mechanically responsive than those crosslinked with CuCl2.10 Such behavior does not by itself uniquely assign a microscopic mechanism, since changing the crosslinking salt can also alter gel structure, cohesion, and mechanics. However, it reinforces the central point of the present work: in hydrated ionic soft matter, electrically active responses commonly attributed to intrinsic piezoelectricity can be strongly conditioned by ionic composition and associated interfacial or transport phenomena.
Mechanistically, this behavior is consistent with interpretations based on piezoionic (piezoionic-like) coupling in hydrated ionic media, in which pressure gradients and strain-driven fluid/ion redistribution generate transient ionic currents and voltages without requiring intrinsic ferroelectric switching.16 Beyond bulk transport, gel–electrode interfaces can contribute substantially through electrical double-layer charging and contact-dependent interfacial impedance, which can produce scan-rate-dependent hysteresis and baseline offsets in electrochemical measurements of soft, ionically conductive gels.19
The CMC–Cu2+ system therefore provides an instructive comparator: a highly hydrated, ionically conductive gel with fixed charges and mobile ions that reproduces the two canonical signatures often taken as evidence of piezoelectricity, while also showing clear sensitivity to ionic crosslinking conditions. This reinforces that these signatures are not uniquely diagnostic in hydrated ionic soft matter.
From an electrical standpoint, two signature families recur across systems: (i) hysteretic, scan-rate-dependent current–voltage loops in cyclic voltammetry, frequently including nonzero current near zero applied potential; and (ii) reproducible voltage or current transients generated during mechanical loading and unloading, often with time-dependent decay under held deformation. These signatures are reproducible across multiple formulations, establishing electromechanical responsiveness as a genuine and general property of hydrated ionic gels. At the same time, their recurrence in chemically and structurally distinct systems suggests that they may arise from general features of hydrated ionic soft matter—mobile ion redistribution, electrode double-layer charging, contact-impedance modulation, and viscoelastic/poroelastic relaxation—either alone or superimposed on possible intrinsic polarization,16,20–22 rather than uniquely diagnosing bulk piezoelectric or ferroelectric order. Consistent with this view, streaming-potential measurements in polysaccharide hydrogel films (e.g., hyaluronic acid) demonstrate that pressure-driven ion transport in charged, water-rich gels can generate measurable voltages with systematic dependence on pH and ionic strength, providing a direct non-piezoelectric pathway for mechanoelectric signals.17
This convergence motivates the mechanistic analysis in the following section, where we examine why these signatures are non-unique and identify the additional evidence required to discriminate intrinsic polarization from electrokinetic and interfacial contributions.
In that intrinsic picture, the electrical output is a direct consequence of deformation-induced polarization rather than of mass transport. The response should therefore track the applied mechanical perturbation on the timescale of elastic deformation, reverse with the sign of stress or strain, and, under maintained load, remain tied to the sustained stressed state rather than decaying primarily through ionic redistribution. By contrast, hydrated ionic gels also contain mobile ions, percolated aqueous pathways, electrical double layers, and deformable gel–electrode contacts. Mechanical loading can therefore drive ion redistribution, streaming potentials, deformation potentials, space-charge accumulation, interfacial charging, and contact-capacitance changes, each of which can generate voltage or current outputs without requiring intrinsic piezoelectric polarization.
The central interpretive challenge is therefore not whether a piezoelectric contribution is conceivable, but whether the measured signal can be uniquely assigned to stress-coupled polarization of a non-centrosymmetric organization rather than to relaxational electrokinetic and interfacial processes. This distinction is especially important here because similar electrical signatures recur across the amphiphile gels and the CMC–Cu2+ comparator and frequently depend on ionic conditions and electrode interfaces. In the discussion that follows, we examine why these readouts are not unique in water-rich ionic materials and identify the mechanistic evidence required to distinguish intrinsic polarization from electrokinetic and interfacial contributions.
One dominant contribution arises from the formation of electrical double layers (EDL) at the gel–electrode interface.22 In the presence of mobile ions, an applied potential drives ion accumulation near the electrodes, generating non-faradaic capacitive currents that scale with scan rate and electrode area23–25 and depend on electrolyte properties via EDL structure and transport.23,26 These currents can persist even in the absence of bulk polarization and may produce apparent offset currents near zero applied potential. This is exemplified by the CMC–CuCl2 CV trace (tilted, rounded hysteresis with appreciable current near the origin),10 which is consistent with electrode double-layer charging and transport-limited ionic polarization superimposed on finite bulk/interfacial conductance, and corresponds to the electrokinetic/interfacial archetype summarized in Fig. 1b and c.
In redox-active ionic environments, additional pseudocapacitive/faradaic contributions may coexist with double-layer charging; for example, multivalent-ion crosslinkers can introduce redox chemistry or mixed-potential behavior that further accentuates hysteresis and apparent “offset” currents.27
Electrode polarization and contact impedance further complicate interpretation. Soft, deformable gels can exhibit variable wetting, contact area, and local pressure at the electrode interface, all of which influence interfacial capacitance and resistance.28–33 More generally, imperfect interfacial contact—e.g., interfacial voids or air gaps—can dominate the interfacial (charge-transfer) impedance, a point emphasized in solid–solid electrochemical interfaces and directly relevant to soft contacts where partial wetting creates voids.34,35 Consequently, small changes in wetting and contact conformity can strongly modulate measured electrochemical signals even when bulk properties are unchanged. As a result, CV loop shape and magnitude may depend sensitively on electrode material, surface preparation, and geometry, without reflecting changes in the intrinsic bulk properties of the gel.
In addition, Maxwell–Wagner–Sillars (MWS) relaxation is an interfacial (space-charge) polarization mechanism in heterogeneous media, where contrasts in conductivity and/or permittivity drive charge accumulation at internal interfaces (often described as barrier-layer polarization), producing a slow, dispersive capacitive response that becomes prominent at low frequencies (or under slow electrical protocols).36–38 Ionic migration within the gel can therefore give rise to space-charge polarization (including MWS-type interfacial polarization), particularly under low scan rates, introducing hysteresis associated with delayed ionic redistribution rather than polarization switching.36,37,39 Accordingly, hysteretic CV signatures in hydrated ionic gels are non-unique and must be interpreted with caution; Fig. 1 summarizes how intrinsic polarization and electrokinetic/interfacial mechanisms can yield qualitatively similar loops. These effects predict scan-rate, ionic-strength, and electrode-dependences that can mimic polarization-associated hysteresis even in the absence of intrinsic switching.
In hydrated soft matter, mechanically induced voltage or current transients may arise from several non-piezoelectric mechanisms. Consistent with the interfacial and transport contributions discussed in Section 3.1, mechanically induced signals in hydrated ionic gels can reflect coupled ionic redistribution and electrode-interface effects, and are therefore not uniquely diagnostic of intrinsic piezoelectric polarization.40,41 Mechanical compression or deformation of an ion-containing gel can drive redistribution of mobile ions relative to the polymer or amphiphile network,16,17,20,40 leading to transient charge separation and the development of deformation or streaming potentials. These electrokinetic effects are well known in porous and soft materials and depend on factors such as ion mobility, pore structure, and solvent viscosity.42,43 Importantly, the resulting electrical signals are typically time-dependent, relaxing as ionic equilibrium is re-established under constant deformation (and, in poroelastic gels, as pressure gradients dissipate through solvent flow).21,44
Changes in electrode–gel contact during mechanical loading provide an additional source of electrical transients. Compression can modify the effective contact area, local pressure, and interfacial capacitance at the electrode surface, producing reproducible signals even in the absence of bulk polarization changes.28–31,33–35,40 This sensitivity to contact conditions parallels the dependence of CV loop shape on interfacial impedance noted in Section 3.1, and can mimic piezoelectric-like responses if not carefully controlled.
The viscoelastic nature of hydrated gels further contributes to time-dependent electromechanical behavior. Under applied stress, strain relaxation and solvent redistribution occur over characteristic timescales that can couple to ionic transport and dielectric response.21,44 As a result, mechanically induced electrical signals may depend strongly on deformation rate, temperature, and hydration level—dependencies that differ from those expected for purely elastic, intrinsic piezoelectric polarization.
Taken together, these considerations imply that mechanically induced transients in hydrated ionic gels should be interpreted as composite electromechanical responses in which instantaneous polarization, ionic redistribution, and interfacial/contact dynamics may coexist—motivating the explicit separation of elastic and relaxational contributions in the coupled framework introduced in Section 4.
Structural anisotropy can amplify both intrinsic and extrinsic mechanisms. In the case of intrinsic polarization, anisotropic molecular packing may facilitate dipole alignment or collective polarization under stress. At the same time, anisotropy can enhance electrokinetic effects by directing ion migration or concentrating strain-induced pressure gradients along preferred pathways.40,42,43 Mesoscale heterogeneity can also impose spatially nonuniform electrode contact pressures and local current pathways,47,48 thereby modulating the interfacial impedance effects emphasized in Sections 3.1 and 3.2.
As a result, ordered lamellar or ribbon-like structures do not uniquely imply intrinsic piezoelectricity; rather, they can amplify multiple concurrent pathways by tuning the effective coupling and relaxation parameters (e.g., α, τ, and Ceff, and potentially d) that govern the composite response.
This non-uniqueness motivates the need for a framework that explicitly distinguishes between instantaneous, elastic polarization and rate-dependent ionic and interfacial contributions. In the following section, we introduce a minimal coupled electromechanical model that captures these distinct pathways and provides a basis for interpreting existing observations and for designing experiments capable of resolving their relative contributions.
The physical mechanisms that can give rise to electrically active responses under mechanical deformation in hydrated amphiphile gels are summarized schematically in Fig. 2. As illustrated, intrinsic piezoelectric polarization, electrokinetic charge redistribution, and electrode-related interfacial effects can each produce electrical signals during mechanical loading, despite arising from fundamentally different microscopic processes. This conceptual separation motivates an explicit constitutive framework capable of distinguishing these contributions, which is developed in the following section.
σ(t) = Eε(t) + η (t) | (1) |
is the strain rate, E is an effective elastic modulus, and η is a viscous (damping) coefficient. This description captures both instantaneous elastic deformation and rate-dependent dissipation characteristic of hydrated gels.
| Pp(t) = dσ(t) | (2) |
Under open-circuit (high-input-impedance) readout—i.e., negligible external current so that the measured signal corresponds to the internal field required to balance piezoelectrically generated bound charge—for a sample of thickness h and relative permittivity εr, the corresponding thickness voltage is (up to sign, which depends on electrode polarity and sign conventions):
![]() | (3) |
In this minimal description, Vp responds instantaneously to changes in σ(t) and is weakly frequency-dependent within the elastic regime. If a constant stress state is maintained, Vp remains time-independent, reflecting the absence of intrinsic relaxation in purely elastic piezoelectric polarization.
We model the evolution of qm(t) phenomenologically as
![]() | (4) |
(t) is the strain rate, α is a mechano-ionic coupling coefficient that converts a strain-rate input into electrode charge (units C, since α
must have units C s−1), and τ is a characteristic ionic relaxation time (units s) set by ion mobility, solvent viscosity, and relevant structural length scales (e.g., pore/mesh size and electrode separation). Eqn (4) encodes two key features: (i) mechanically driven charge generation scales primarily with strain rate, and (ii) the induced charge relaxes toward zero once deformation ceases.
The corresponding mechanically induced ionic/interfacial voltage contribution (Vm,I) to the measured electrode-to-electrode voltage is written as
![]() | (5) |
(t) and, after a deformation event (e.g., following unloading or during a controlled hold), relaxes as qm(t) → 0 on the timescale τ, consistent with experimentally observed post-event transients in hydrated ionic gels.
For gels containing redox-active species (including certain ionotropically crosslinked gels), an additional faradaic contribution may coexist with capacitive charging. In a minimal extension, this can be represented by adding a parallel charge-transfer element in parallel with Ceff, whose faradaic current depends on the interfacial voltage drop ΔVint(t), i.e., IF(ΔVint(t)). In a lumped two-terminal description, ΔVint(t) is taken to be proportional to the measured open-circuit electrode-to-electrode voltage Voc(t),
| ΔVint(t) = βVoc(t), 0 < β < 1 | (6) |
| Voc(t) = Vp(t) + Vm,I(t) | (7) |
| ε(t) = εmaxH(t) | (8) |
Under this idealization, the intrinsic term produces an immediate stress-tracking voltage change that persists so long as the stress state is maintained. In contrast, the mechanically driven ionic/interfacial contribution relaxes exponentially under held deformation (Fig. 3a):
| Vm,I(t) = Vm,I,0e−t/τ | (9) |
For an ideal step, the relaxation term in eqn (4) is negligible during the impulse-like strain-rate event, so integrating eqn (4) across the step gives Δqm = αΔε = αεmax, and therefore
![]() | (10) |
sin(ωt), the intrinsic polarization response remains approximately frequency-independent within the elastic regime. Here, ω is the angular frequency (ω = 2πf) and f is the loading frequency (Hz). The mechanically driven ionic/interfacial contribution exhibits strong frequency dispersion. Solving eqn (4) under steady-state sinusoidal loading yields the voltage amplitude![]() | (11) |
I(t) = Ceff app(t) + e(t) | (12) |
app(t) is the scan rate. The term Ceff
app(t) captures effective capacitive charging (including geometric capacitance and interfacial/double-layer capacitance under the same electrode contact conditions), while
e(t) represents the additional current associated with slow ionic/space-charge polarization and redistribution during the sweep. The kinetics of qe(t) are governed by ionic mobility and interfacial transport, and can be characterized by relaxation timescales comparable to τ (but not necessarily identical). Apparent offset currents near zero applied potential, scan-rate-dependent hysteresis, and strong electrode sensitivity can therefore occur without invoking ferroelectric switching, consistent with observations in hydrated amphiphile gels.By explicitly separating instantaneous elastic polarization from rate-dependent ionic and interfacial effects, this minimal model provides a consistent interpretation of previously reported electromechanical signatures and establishes a quantitative basis for mechanism-discriminating experiments. The qualitative signatures predicted by the coupled framework under representative mechanical loading protocols are illustrated in Fig. 3. In particular, the model highlights how rapid strain step/hold experiments, frequency-dependent mechanical loading, and phase-sensitive measurements can distinguish between instantaneous polarization, relaxational ionic contributions, and mixed regimes. These trends follow directly from the scaling behavior of the governing equations and motivate the experimental strategies outlined in the following section.
An important figure is the charge-based coefficient determined under short-circuit and quasi-static charge sensing. In one-dimensional compression, the intrinsic polarization density is Pp = dσ (eqn (2)). The corresponding polarization charge collected on electrodes of area A is
| Qp(t) = APp(t) = Adσ(t) = dF(t) | (13) |
![]() | (14) |
Although uniaxial compression along the electrode normal is the standard configuration used to define and measure d33 via Q/F, in hydrated ionic gels mechanically driven ionic redistribution can contribute an additional, history-dependent electrode charge qm(t) (eqn (4)). Under charge-sensing conditions (e.g., an electrometer or charge amplifier), the measured charge can therefore be written as
| Qmeas(t) = Qp(t) + qm(t) | (15) |
![]() | (16) |
Another important figure is the voltage-based coefficient estimated under open-circuit, high-input-impedance readout. For open-circuit measurements, the intrinsic voltage contribution is given by eqn (3) discussed earlier which corresponds to the standard voltage coefficient g33 defined by E3 = g33σ, with E3 = V/h:
![]() | (17) |
![]() | (18) |
![]() | (19) |
In summary, apparent piezoelectricity is protocol dependent. Under slow or quasi-static mechanical protocols, the ionic branch relaxes (qm → 0 on the timescale τ), so charge- and voltage-based coefficients approach intrinsic limits set by d (if d ≠ 0). Under faster loading or at frequencies ωτ ≳ 1, qm(t) can remain out of equilibrium and contribute significantly, yielding dispersive, phase-shifted apparent coefficients dapp33(ω) and gapp33(ω) governed by α, τ, and Ceff. This mapping motivates the mechanism-discriminating experiments in Section 5, where the goal is to determine whether measured Qmeas and Voc primarily track the intrinsic parameter d or the relaxational ionic/interfacial parameters α, τ, and Ceff (and their dependence on ionic environment and interfacial conditions).
Within the model, intrinsic piezoelectric polarization contributes a response proportional to stress (or strain in the linear regime) and is therefore expected to exhibit weak frequency dependence within the elastic regime. In contrast, the ionic contribution scales with strain rate and is governed by the relaxation time τ, leading to strong attenuation and phase lag at frequencies ω ≫ 1/τ. Observation of pronounced frequency dispersion and/or phase shifts in the electrical signal therefore implicates a dominant electrokinetic/interfacial contribution.
Step- or ramp-strain experiments provide an especially clear discriminator. Under a rapid deformation event followed by a controlled hold (or, more generally, by a defined post-event observation window), intrinsic polarization produces a sustained stress-tracking voltage/charge contribution, whereas ionic contributions relax with characteristic time τ. The presence or absence of relaxational evolution in the electrical signal after a deformation event directly maps onto the relative importance of the two mechanisms. As illustrated by the model predictions in Fig. 3b and c, frequency-dependent amplitude attenuation and phase lag provide particularly sensitive indicators for distinguishing intrinsic polarization from electrokinetic contributions in hydrated ionic gels.
A practical implementation for hydrated gels is to sandwich the specimen between electrodes of well-defined area and compliance, apply a small-amplitude sinusoidal perturbation (to remain in the linear regime), and record the complex impedance over a broad frequency window (mHz–kHz or higher where feasible). Because soft ionic gels are susceptible to contact artifacts, EIS should be repeated under systematically varied electrode/interface conditions, including (i) different electrode materials and surface roughness, (ii) controlled contact pressure or pre-compression, and (iii) blocking versus non-blocking interfaces (e.g., thin dielectric coatings) where feasible. Strong sensitivity of the impedance spectrum to electrode chemistry, wetting, or contact conformity indicates that the low-frequency response is dominated by interfacial polarization and contact impedance rather than bulk intrinsic polarization.
For analysis, the goal is mechanism discrimination rather than exhaustive equivalent-circuit fitting. Minimal, physically interpretable representations are preferred, typically including a bulk resistive pathway (effective ionic resistance) in series with an interfacial capacitive element (often dispersive and therefore captured by a constant-phase element), with optional distributed polarization/transport terms when needed. In hydrated ionic materials, the emergence of pronounced low-frequency dispersion and large apparent capacitance is commonly consistent with electrode polarization and/or space-charge (Maxwell–Wagner–Sillars-type) interfacial polarization. Mapping how these features shift with ionic strength, electrolyte composition, hydration, temperature, and static compression provides a direct route to constraining Ceff and identifying whether changes in mechanoelectric readouts are more plausibly attributed to altered ionic mobility/transport and interfacial charging rather than changes in an intrinsic coefficient d.
Finally, EIS pairs naturally with the mechanical protocols described in Sections 5.1 and 5.6. Recording spectra at different static strains (or before/after cyclic loading) can determine whether deformation primarily changes bulk conduction pathways (via porosity/permeability and ion mobility) or instead modulates the electrode interface (via wetting, conformity, and double-layer capacitance). This linkage provides an important cross-check when mechanically induced voltage/current transients could arise from contact-area modulation or deformation-driven ion redistribution.
Mechanistically, these step-response measurements test whether the electrical dynamics are dominated by ionic/interfacial processes (large electrode and ionic-strength sensitivity; slow relaxation tails) versus requiring an intrinsic polarization term. Repeating chronoamperometry/chronopotentiometry across electrode materials, under blocking versus non-blocking interfaces, and as a function of ionic strength provides a stringent evaluation of whether time-domain electrical behavior is governed primarily by interfacial charging and ionic redistribution rather than intrinsic polarization.
In the framework of Section 4, suppression of ionic exchange at the electrode interface should significantly reduce the mechanically driven ionic/interfacial contribution associated with qm(t) and Ceff, while leaving any intrinsic piezoelectric response largely unaffected. Conversely, strong attenuation of the electromechanical signal under blocking conditions would implicate interfacial or electrokinetic origins.
Additional insight may be gained by systematically varying electrode material, surface roughness, and contact area. True intrinsic polarization contributions should scale predictably with sample geometry and applied stress, whereas interfacial effects often exhibit strong sensitivity to electrode chemistry and contact conditions.
A caveat is that in self-assembled amphiphile gels, salts can also modify mesoscale order and mechanics (e.g., domain spacing, anisotropy, porosity/permeability, and viscoelastic relaxation).9,49,50 To preserve interpretability, ionic-strength sweeps should therefore be paired with concurrent structural/mechanical readouts (e.g., small- and wide-angle X-ray scattering, SAXS/WAXS, or polarized light microscopy to probe mesophase order, and rheology to probe viscoelasticity) so that changes in electrical response can be mapped onto α, τ, and Ceff at approximately fixed structure, or else explicitly interpreted as coupled structure–transport effects. Where feasible, “structure-preserving” electrolytes and modest concentration ranges should be used, and mechanical properties (e.g., E and η) should be reported alongside at least one structural metric. This pairing helps separate primarily transport-driven ionic-strength effects from salt-induced structural changes.
Within the framework of Section 4, an intrinsic polarization contribution (parameterized by d) is expected to be comparatively insensitive to modest changes in ionic strength provided that mesoscale organization and elastic response are not substantially altered by the added electrolyte. In contrast, electrokinetic and interfacial pathways depend strongly on ion concentration, speciation, and transport. Consequently, substantial changes in signal magnitude, relaxational evolution after deformation events, phase lag, or frequency dispersion with ionic strength—especially when accompanied by minimal changes in rheology/structure—implicate dominant ionic/interfacial contributions (changes in α, τ, and Ceff). Comparisons across chemically distinct gels with similar mechanics but different ionic character offer an additional lever for separating mesoscale structure from ionic transport propensity, differentiating between intrinsic and electrokinetic mechanisms.
To emphasize that the electrical signatures discussed above are not specific to amphiphile mesophases, an instructive comparator is ionotropically crosslinked polyelectrolyte hydrogels. Carboxymethyl cellulose (CMC), a carboxylate-bearing polysaccharide, forms cohesive networks upon coordination with Cu2+.10 Under applied pressure, CMC gels crosslinked using CuCl2 generate reproducible electrical signals with a stable response under repeated loading and exhibit hysteretic current–voltage loops under cyclic voltammetry, including measurable current near zero applied potential—features not observed for CMC in the absence of Cu salts.10 A key additional observation is strong dependence on the counter-anion: gels prepared at comparable Cu2+ concentrations using CuSO4 display substantially weaker electromechanical and CV signatures than those prepared with CuCl2.10 This anion sensitivity is consistent with an electrokinetic/interfacial interpretation: anion-dependent Cu2+ speciation and coordination, gel microstructure, and double-layer structure at the electrode interface can shift τ, α, and Ceff, thereby changing both mechanical-transient and CV responses without requiring changes in intrinsic polarization. The CMC–Cu2+ case therefore complements the amphiphile systems by demonstrating that the same phenomenology can arise in a chemically distinct, non-amphiphile hydrated ionic gel when multivalent ions and their counterions are present.
Experimentally, temperature can strongly modulate measured signals in amphiphile gels. For example, in surfactant–fatty alcohol hydrogels, Patel et al. observed systematic temperature dependence of mechanically induced voltage transients, with the response decreasing upon heating and recovering after cooling, alongside qualitative weakening of the gel at elevated temperature.12 This illustrates that temperature ramps can simultaneously perturb (i) ionic transport and interfacial charging and (ii) the gel's mesoscale organization and mechanical integrity.
Importantly, temperature can modulate the measured mechanoelectric output through multiple coupled pathways. Beyond changing ion mobility and solvent viscosity (thereby shifting τ and Ceff), heating can also affect self-assembly51–55 and induce phase transitions,56,57 thereby altering mesoscale order and mechanical integrity.58
As a result, heating can reshape strain localization, electrode contact conditions, and electromechanical readouts. Consequently, temperature dependence need not be monotonic or universal across formulations and should be interpreted alongside concurrent structural/mechanical readouts (e.g., scattering or polarized light microscopy to track mesophase order, and rheology to track viscoelastic parameters such as E and η). A strong correlation between electrical signal magnitude or relaxation behavior and solvent mobility would support an electrokinetic/interfacial interpretation. Partial substitution of water with higher-viscosity solvents may provide additional insight, provided that the underlying self-assembled structure is preserved. Finally, while some crystalline polar materials are also pyroelectric, temperature-dependent signals in ionically conductive gels should not be taken as evidence of pyroelectric polarization unless a temperature-driven polarization change is independently demonstrated under controlled electrical boundary conditions (e.g., heating/cooling transients in the absence of mechanical loading and with careful control of interfacial/ionic artifacts).
Although the example below is based on open-circuit-potential measurements rather than direct charge collection, it illustrates the broader point that perturbation-based tests can help distinguish interfacial from putatively intrinsic electromechanical responses. As an illustrative example, we consider a hydrated arginine–dodecanoic acid paste confined between grooved aluminum electrodes, for which the interfacial boundary condition was deliberately varied while the material composition and measurement configuration were otherwise kept unchanged (Fig. 4). When shear was applied parallel to the grooves, opposite stroke directions produced distinguishable open-circuit-potential transients (Fig. 4A). In contrast, when shear was applied orthogonally to the grooves, a measurable mechanoelectric response remained, but directional resolution was lost (Fig. 4B). This behavior indicates that the measured response is strongly conditioned by anisotropic electrode/interface coupling, rather than reflecting a purely bulk electromechanical property that is independent of boundary alignment. We therefore view this type of boundary-condition perturbation as a practical way to test whether interfacial contributions are central to the observed mechanoelectric output. The full experimental study will be reported elsewhere; only a minimal representative subset is included here to illustrate the practical use of the present discrimination strategy.
A related conclusion emerges from published CMC hydrogel results, in which the electromechanical response depended strongly on the ionic crosslinking environment.10 Taken together, these examples show that perturbation of either boundary conditions or ionic composition can materially alter the measured response, consistent with a substantial role for interfacial and electrokinetic contributions in hydrated ionic systems.
For hydrated ionic gels, the key interpretive point is timescale (Section 4.7): intrinsic polarization contributes an effectively instantaneous, polarity-consistent charge increment that tracks applied loading, whereas electrokinetic/interfacial contributions are generally rate-dependent and relaxational, producing delayed charge accumulation, drift under held load, and/or post-event evolution associated with qm(t). Accordingly, the most diagnostic protocol is often not truly DC loading, but rather controlled step- or low-frequency loading combined with a time-windowed analysis: quantify the prompt charge increment upon loading/unloading, and separately assess any subsequent time-dependent evolution over a defined observation window. A robust intrinsic contribution should (i) scale linearly with force/stress over a range of small amplitudes, (ii) show consistent polarity under repeat cycling, and (iii) remain comparatively insensitive to modest changes in ionic strength and electrode blocking when gel structure and mechanics are held fixed. By contrast, strong dependence on loading rate, electrode condition, ionic strength, or pronounced relaxational evolution is more consistent with dominant ionic/interfacial mechanisms.61,62
Two additional practical cautions are particularly important in soft, conductive gels. First, finite gel conductivity can shunt charge on the measurement timescale, limiting the effective “quasi-static” window and making high insulation and guarding essential (otherwise the experiment becomes a measurement of leakage and interfacial polarization rather than direct piezoelectric charge). Second, because many soft contacts are compliance- and wetting-sensitive, the electrode stack should be designed to minimize changes in real contact area with load (or to monitor it), since contact evolution can generate apparent charge transients even without bulk polarization. Together with the mapping in Section 4.7, quasi-static (or low-frequency) charge collection with a well-defined time window—distinguishing the prompt response from any subsequent evolution—offers a practical way to separate an instantaneous polarization contribution from rate-dependent ionic redistribution and interfacial charging in these water-rich, conductive materials.
EIS provides an essential electrical “bridge” between the mechanically driven measurements and the voltage/current readouts by independently quantifying the interfacial and bulk electrical elements that set Ceff and relevant relaxation frequencies. In practice, EIS can be used to (i) determine whether the low-frequency response is dominated by electrode polarization/contact impedance, (ii) establish how Ceff and bulk resistance vary with hydration, temperature, ionic strength, and static compression, and (iii) identify whether timescales inferred from mechanoelectric relaxation are consistent with electrically measured relaxation processes (interfacial polarization versus bulk transport). Consistency across these orthogonal measurements strengthens a mechanistic assignment; inconsistency is itself diagnostic and often points to interface-dominated artifacts or protocol-dependent boundary conditions. Time-domain step tests (chronoamperometry/chronopotentiometry) complement this bridge by providing explicit transient relaxation signatures under controlled electrical perturbations, enabling cross-validation of τ-like timescales and the extent of electrode polarization.
A practical workflow is therefore to treat each formulation as a point in a low-dimensional parameter space (d,α,τ,Ceff) rather than as an a priori “piezoelectric” or “non-piezoelectric” class. Specifically: (i) use EIS (and time-domain step tests where relevant) to establish whether the electrical response is bulk- or interface-dominated and to parameterize Ceff (and bulk resistance) under the same contact conditions used for mechanoelectric tests; (ii) use step/ramp strain and sinusoidal loading to extract τ from relaxational evolution and phase/amplitude dispersion; (iii) use ionic-strength/composition sweeps to test whether changes in electrical output co-vary with conductivity and double-layer signatures (implicating α, τ, Ceff) or instead persist under nearly fixed electrical spectra (supporting a larger intrinsic component); and (iv) use quasi-static charge–stress protocols to test for polarity-consistent, rate-insensitive charge generation that scales with applied force and sample geometry. Where salts or temperature also modify mesoscale structure and mechanics, concurrent rheology/structural readouts should be used to distinguish transport-dominated changes in α, τ, Ceff from structure-mediated changes that can modulate both ionic pathways and any effective intrinsic coupling.
By integrating these measurements, it becomes possible to report mechanism-resolved figures of merit—e.g., the fraction of the signal attributable to relaxational ionic dynamics under a specified protocol, the characteristic τ and its dependence on hydration/temperature, and the sensitivity of Ceff to electrode/interface conditions—rather than relying on CV hysteresis or stress-generated transients alone. Such a mechanism-resolved approach is essential for interpreting electromechanical signals in hydrated ionic gels and for guiding the rational design of soft electromechanical materials, because it identifies which design levers (mesoscale order, ion content, hydration, electrode/interface engineering) control performance under the intended operating frequency and boundary conditions.
From an applications perspective, this distinction is not merely semantic. Regardless of whether intrinsic piezoelectricity ultimately dominates in a given formulation, the ability of water-rich gels to reproducibly convert mechanical deformation into electrical signals positions them as promising candidates for soft sensors, biointerfaces, and mechanically responsive scaffolds. In many biomedical contexts, compliance, hydration, and ionic conductivity are advantageous features rather than limitations, and electromechanical transduction mediated by ionic processes may be equally, or even more, relevant than classical piezoelectricity.
The framework developed here also suggests that electromechanical responses in biological tissues—often described as piezoelectric—may similarly reflect coupled ionic and interfacial mechanisms in addition to any intrinsic polarization. In this light, hydrated amphiphile gels provide a useful model system for exploring how structural organization, ionic transport, and mechanics interact to produce electrical signals in soft matter. Rather than seeking to replicate rigid piezoelectric crystals in aqueous environments, it may be more fruitful to embrace the distinctive electromechanical pathways enabled by hydration and ionic mobility.
Finally, by explicitly separating intrinsic and extrinsic contributions, the present analysis provides design principles for tailoring electromechanical performance. Maximizing an intrinsic polarization contribution requires promoting stable polar/anisotropic organization while minimizing ionic/interfacial contributions on the measurement timescale (e.g., through reduced conductivity, blocking interfaces, or appropriate operating frequencies). Conversely, exploiting electrokinetic pathways favors high mobile-ion content and transport, coupled with mesoscale anisotropy and deliberately engineered interfaces that control double-layer charging and contact impedance. These considerations open routes for engineering soft electromechanical materials with application-specific response characteristics and for comparing systems on a mechanism-resolved basis rather than by categorical labels alone.
To address this ambiguity, we introduced a minimal coupled electromechanical framework that explicitly separates instantaneous elastic polarization from rate-dependent ionic and interfacial contributions. This model rationalizes key experimental observations and predicts distinct temporal and frequency-dependent signatures that enable mechanism discrimination. Building on this framework, we outlined a set of targeted experimental strategies—combining frequency- and rate-dependent mechanical loading with impedance-based and time-domain electrochemical controls (EIS, chronoamperometry, and chronopotentiometry), electrode blocking, and ionic-strength perturbations—required to resolve the relative contributions of intrinsic and electrokinetic pathways in future studies. In particular, chronoamperometry and chronopotentiometry provide direct time-domain probes of interfacial charging and slow ionic polarization through current- and voltage-transient kinetics, offering independent constraints on relaxation timescales and leakage/faradaic contributions that can otherwise masquerade as piezoelectric-like signatures.
This reassessment does not diminish the functional relevance of amphiphile-based hydrogels as electromechanically responsive materials. Rather, it provides a rigorous, mechanism-resolved foundation for understanding and exploiting their behavior, whether the dominant pathway is intrinsic polarization, electrokinetic coupling, interfacial effects, or a superposition thereof. By clarifying how electrical signals emerge under mechanical deformation in water-rich gels, this work enables more defensible performance comparisons and supports the rational design of soft electromechanical transducers for sensing, biointerfacing, and biomedical applications.
Supplementary information (SI) is available. This Supporting Information presents the numerical methods underlying the coupled electromechanical model and provides code availability details for the simulations used to generate the representative responses shown in the manuscript. See DOI: https://doi.org/10.1039/d6sm00047a.
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1 salt-free catanionic surfactant, J. Mol. Liq., 2014, 199, 1–6 CrossRef CAS.| This journal is © The Royal Society of Chemistry 2026 |