Open Access Article
Emanuele Maglioccaa,
Shangwei Zhou
a,
Dan J. L. Brettb and
Thomas S. Miller
*ac
aElectrochemical Innovation Lab, Department of Chemical Engineering, University College London, London WC1E 7JE, UK. E-mail: t.miller@ucl.ac.uk
bProsemino Limited, The Paper Yard, Canada Water, London, SE16 7LG, UK
cAdvanced Propulsion Lab, UCL East Marshgate, 7 Sidings Street, Stratford, London, E20 2AE, UK
First published on 23rd April 2026
Interfaces within polymer electrolyte membrane fuel cells (PEMFCs) dictate proton transport, gas diffusion, and water management – processes that ultimately control power output, efficiency, and durability. Conventional catalyst layers neglect these interfacial dynamics, resulting in severe losses under low humidity and high current density. Here, we introduce an interfacial engineering strategy using a dual-nozzle ultrasonic spray technique that independently deposits Pt/C catalyst and Nafion ionomer, enabling precise control of ionomer distribution without complex multi-ink formulations. This design creates a continuous transition: high ionomer content near the membrane to minimize proton resistance and dehydration, and reduced ionomer near the microporous layer (MPL) to enhance oxygen access and water removal, while enabling the in situ formation of the triple phase boundary (TPB). Electrochemical testing across humidity regimes, supported by impedance spectroscopy and accelerated degradation protocols, shows that interfacially optimized layers deliver peak power densities of 803 mW cm−2, 20–30% higher than uniform or inverted designs, and retain superior electrochemical surface area (ECSA) after 30
000 cycles. These results establish interfacial control as a critical design principle for next-generation PEMFC catalyst layers, offering a scalable route to improved performance and long-term stability.
In conventional PEMFC designs, the CL is fabricated with a uniform distribution of Pt catalyst and ionomer to form the triple-phase boundary, enabling electrochemical reactions.4,5 This approach assumes that uniformity ensures optimal performance, yet it overlooks the complexity of interfaces within the MEA. When these interfaces are poorly managed, local gradients in ionic potential, oxygen concentration, and water content emerge during operation, leading to uneven catalyst utilization and accelerated degradation of both catalysts and supports.6–8
Given these intrinsic interfacial anisotropies, strategies that deliberately tailor interfacial architecture – rather than relying on homogeneous designs – are essential to improve performance and durability.9
A growing body of research has demonstrated that tailoring material distribution within the catalyst layer can improve fuel cell performance and reduce material demand.10 Recent studies have highlighted the importance of advanced material design and functional architectures within membrane electrode assemblies (MEAs) to improve transport processes, catalyst utilization, and overall fuel cell performance.11,12 Historically, this has been approached through gradient engineering, primarily in two directions: through-plane (TP) along the Z-axis, from the membrane/CL interface toward the gas diffusion medium (GDM), and in-plane (IP) along the X–Y plane, from gas inlet to outlet, to counteract reactant depletion.10 For example, grading catalyst loading along the flow field has been shown to mitigate local current density variations and improve reactant distribution.13–18 In-plane strategies therefore aim to address depletion effects, refining CL composition to balance proton transport with mass transport efficiency.
The most critical transport processes – proton conduction, water retention, and oxygen access – are not simply bulk phenomena; they are controlled by the interfaces within the MEA. The CL–membrane interface dictates ionic continuity and hydration, while the CL–microporous layer interface governs gas permeability and water removal. Catalyst–ionomer interfaces define the connectivity of the triple-phase boundary and influence charge transfer kinetics. When these interfaces are poorly optimized, performance losses and accelerated degradation follow.19–21
Through-plane ionomer gradients have been widely explored because they directly affect these boundaries, yet the literature on catalyst gradients reveals conflicting trends. Many studies report improved performance when catalyst loading is increased toward the membrane,22–27 while others find advantages with higher loadings near the GDM under certain conditions.28–32 These discrepancies arise from competing interfacial requirements: enhanced proton conduction and adhesion near the membrane versus improved oxygen transport and water management near the GDM. Operating conditions such as relative humidity and current density strongly influence which interface dominates performance.
Overall, while gradient designs can boost performance, their optimal configuration is not universal. This underscores a critical insight: interfaces – not just gradients – must be deliberately engineered to achieve robust, high-performance catalyst layers across diverse operating regimes.
Parallel efforts have focused on optimizing TP ionomer distribution, traditionally implemented as a uniform ionomer-to-carbon (I/C) ratio across the CL thickness.33,34 Because ionomer films govern proton conduction from the membrane and shape the pore architecture for reactant access, their spatial distribution is critical. Proton transport is most efficient near the membrane interface and decreases toward the GDM as protons are consumed;35 therefore, increasing ionomer content near the membrane is a logical design strategy.
This concept is consistent with theoretical and modelling studies,36–39 which predict that optimal catalyst layer architectures involve higher ionomer content near the membrane interface to facilitate proton transport, combined with lower ionomer content toward the GDM/MPL interface to enhance oxygen diffusion and water removal. The gradient configuration explored in this work follows these design principles by introducing a controlled through-plane variation in ionomer distribution.
Wang et al.36 introduced a numerical model using a triple-coated layer (TCL) with an ionomer gradient increasing toward the membrane, predicting modest performance gains over uniform CLs due to improved proton conduction and mass transport. Conversely, gradients with higher ionomer content near the GDM reduced performance because of elevated transport resistance and diminished proton conductivity. Experimental validation by Xie et al.37 compared uniform and graded TCLs, where the graded electrode comprised three sublayers with Nafion contents ranging from 20 to 40 wt%. At intermediate and high current densities, increasing ionomer content near the CL/membrane interface improved cathodic performance, while reversing the gradient caused significant losses. This improvement was attributed to higher ionic conductivity near the membrane and enhanced gas diffusion near the GDM, supported by a complementary interparticle pore gradient.
However, these approaches relied on hand-spraying distinct inks with varying Nafion loadings, producing discrete layers rather than a continuous gradient, as confirmed by cross-sectional EDS – highlighting poor reproducibility and scalability. A similar double-coated layer (DCL) configuration reported by Kim et al.38 showed improved performance for TP ionomer gradients increasing toward the PEM, primarily due to better mass transport, yet required manual spraying of five distinct inks – an impractical and non-scalable method. Chen et al.23 reported peak power density gains of 25.4% at 80% RH and 104.2% at 20% RH using DCLs with higher ionomer content near the membrane, while Shahgaldi et al.39 observed a 13% improvement under similar configurations. Despite these promising results, most studies lacked morphological confirmation and remained constrained by stepwise layering, which introduces interfacial defects and limits manufacturing scalability.
Step-function designs such as DCLs and TCLs dominate current literature, but their abrupt material transitions create interfacial resistances, mechanical instability, and localized defects. Sequential spray-coating of multiple catalyst inks remains the most common fabrication route, yet this approach introduces significant complexity, including interlayer adhesion problems, defect formation, and strong sensitivity to deposition parameters. Attempts to refine these concepts through more elaborate architectures – such as five-layer CLs40 – deliver only incremental gains in performance and durability while further complicating manufacturing and limiting scalability.
The reliance on discrete layering and sequential spraying poses additional challenges for reproducibility and automation, underscoring the need for advanced methods that can produce continuous, smooth, and scalable interfacial architectures. Such approaches must eliminate abrupt boundaries, maintain structural integrity, and enable precise control of material distribution to optimize proton conduction, gas transport, and water management simultaneously.
In this work, we move beyond compositional gradients to address the fundamental challenge of interfacial control within the catalyst layer. Rather than focusing on multi-component gradient architectures, our approach targets the critical boundaries that govern PEMFC performance: the CL–membrane interface, the CL–microporous layer interface, and the catalyst–ionomer interface. Using a dual-nozzle ultrasonic spray technique, we independently deposit Pt/C catalyst and Nafion ionomer, enabling precise modulation of ionomer coverage without the complexity of multiple ink formulations. This strategy creates a continuous interfacial transition – high ionomer content near the membrane to minimize proton resistance and dehydration, and reduced ionomer near the MPL to enhance oxygen access and water removal – while preserving structural integrity across the layer.
Electrochemical evaluation under varying humidity and current densities, combined with impedance spectroscopy and accelerated degradation testing (ADT), demonstrates that interfacially optimized layers deliver superior performance and durability compared to uniform or inverted designs. Cross-sectional EDS confirms the absence of abrupt boundaries, validating the smooth interfacial architecture. By reframing catalyst layer design around interfaces rather than bulk gradients, this work establishes a scalable, automation-ready pathway for next-generation PEMFCs. While the present deposition parameters were optimized to maximize compositional control, resulting in longer coating times, the process inherently offers high material utilization efficiency (≈75–80%) and can be further optimized in terms of ink concentration and flow rate to approach industrially relevant deposition rates; moreover, its compatibility with programmable spray paths and automated ink refill system makes it a promising candidate for future scale-up, including potential adaptation to roll-to-roll manufacturing. The principles demonstrated here extend beyond fuel cells to other electrochemical systems, where interfacial phenomena dictate efficiency and lifetime.
:
1), resulting in concentrations of 0.32 mg mL−1 and 0.5 mg mL−1, respectively. Both dispersions were sealed with airtight caps to prevent solvent evaporation and left under magnetic stirring overnight. As a final step in the ink preparation, they were placed in an ultrasonic bath for 30 min prior to use in the coating process, and utilized within three days. When the prepared ink was not used for coating, it was placed under magnetic stirring. Before reuse, the prepared and stirred ink was introduced into an ultrasonic bath for at least 30 min, same treatment was adopted for the Nafion dispersion. The decision to prepare two separate dispersions – one for Nafion and one for Pt/C – was driven by the need to prevent agglomeration, which typically leads to the formation of larger ionomer domains.42 This phenomenon is primarily attributed to electrostatic interactions between sulfonic acid groups and platinum particles, which not only cause catalytic poisoning but also create highly tortuous pathways for oxygen transport.43,44 To overcome these limitations, an in situ formation of the TPB was preferred, enabling the development of a more controlled and interconnected catalyst layer microstructure during the deposition. This approach also provided the opportunity to precisely fine-tune the composition of the layer-by-layer microstructure, crucial for creating a graduated CL architecture. This fabrication method was made possible by the dual independent robotic arms of the ultrasonic spray coater, which allowed for the precise and controlled alternating co-spraying of the two components, as represented in the schematics in Fig. 1a.
It is worth noting that most of the experimental CL gradient designs reported in the literature are based on DCL smoothened step functions,23,32,38,39 with only a few works reporting the use of three graded layers.37 A major drawback of these methods is that they require preparing multiple inks with different formulations for each layer, which increases fabrication complexity and electrode-to-electrode variability. We adopted a manufacturing approach that utilizes separate, low-concentration dispersions for the catalyst and ionomer, along with a low flow rate to enhance control over the layer-by-layer deposition, allowing for the in situ formation of the TPB through a carefully tuned interfacial interaction. This method was specifically chosen to construct a TCL TP gradient design that closely approximates a linear gradient function (Fig. 2b). By precisely adjusting the deposition parameters and progressively varying the composition, the ionomer content can be smoothly modulated across the plane, enabling the formation of a more continuous and controlled through-plane gradient.
Three different GDEs were fabricated using this approach: GR1 featured a TP ionomer gradient increasing toward the membrane; GR2 had a reversed gradient, decreasing toward the membrane; and GR3 served as a control with a uniform I/C ratio throughout the entire catalyst layer. A summary of the I/C ratio variations across the sub-layers for each GDE is presented in Table 1.
| I/C sub-layer 1 | I/C sub-layer 2 | I/C sub-layer 3 | |
|---|---|---|---|
| GR1 | 0.4 | 0.8 | 1.2 |
| GR2 | 1.2 | 0.8 | 0.4 |
| GR3 | 0.8 | 0.8 | 0.8 |
The selected I/C values (0.4–1.2) span the range commonly reported for Pt/C cathode catalyst layers in PEMFCs and were chosen to represent low, intermediate, and high ionomer contents.48–52 Both experimental48–50 and modelling50–52 studies have shown that this range reflects the balance between proton transport and oxygen diffusion within the catalyst layer, with low I/C ratios (0.4) favouring oxygen diffusion, intermediate values (0.8) commonly reported near optimal performance, and higher I/C ratios (1.2) improving proton transport at the expense of mass transport.
Given that the concentrations of the two dispersions and their respective spraying flow rates were fixed, the ionomer content across the sub-layers was precisely modulated by varying the number of spray passes from the Nafion-dedicated nozzle relative to those from the Pt/C nozzle. This strategy enabled accurate control of the I/C ratio in each sub-layer while maintaining a consistent Pt loading throughout the catalyst layer. The process was validated using gravimetric mass measurements with a high-precision balance (Mettler Toledo, XPR106DUH/M). Following a few initial trials to determine the mass gain per spray cycle, we established the exact number of cycles required to achieve the target Pt loading for each sub-layer. Thanks to the automated syringe refill system integrated into the spray coater and managed via its software interface, the entire GDE fabrication process was fully automated. Each coating covered an area of 5 cm × 11 cm, resulting in two identical 25 cm2 GDEs per batch, with an additional 5 cm × 1 cm section reserved for morphological and elemental characterization, including X-ray fluorescence (XRF) analysis. Fig. 2c provides a schematic representation of the TP ionomer gradient profiles applied to the three fabricated samples, each following a linear gradient function.
For comparison, a fourth GDE, named GD4, was fabricated with a uniform TP ionomer distribution using a conventional ink preparation method. The CL had an I/C ratio of 0.8 and a total Pt loading of 0.3 mgPt cm−2. Specifically, 50 mg of Pt/C (20 wt% Pt) was dispersed in 200 mL of a 1
:
1 isopropanol
:
DI water mixture and sonicated for 20 min. Subsequently, 32 mg of Nafion was added to the dispersion, which was then left under continuous magnetic stirring overnight. Before deposition, the ink was placed in an ultrasonic bath for 30 min to ensure full homogenization. The ink was then spray-coated onto a 5 cm × 11 cm GDM substrate area under the exact same coating conditions used for the graded samples.
For performance evaluation, the assembled fuel cell was connected to a Scribner Associates 850e test station (Scribner, USA) equipped with a built-in potentiostat (Scribner 885) integrated with a frequency response analyser module for EIS measurements. All MEAs were conditioned identically by holding them at a constant voltage of 0.6 V for one hour, allowing the current to stabilize. The increasing current density was monitored during this period. Three polarization curves were recorded, and the MEA was considered fully conditioned or “broken-in” if the voltage deviation between consecutive curves was less than 5 mV, in line with U.S. DoE testing guidelines.53 All MEA tests using in-house fabricated GDEs (GR1, GR2, GR3, GD4) were conducted at 80 °C. The anode and cathode were supplied with humidified hydrogen and air, respectively, at three different relative humidities (20%, 60%, and 100%) achieved by adjusting the dew points of both inlet gases (see Table S1). The tests were conducted in ascending RH order to minimize the risk of water accumulation within the cell. Reactant stoichiometries were set to 1.2 for hydrogen and 2.0 for air. Both anode and cathode outlets were maintained at atmospheric pressure with no applied backpressure. Electrochemical characterization included polarization curve measurements and cyclic voltammetry (CV) to evaluate electrochemically active surface area. Polarization data were collected from open-circuit voltage down to 0.3 V, in 0.025 V steps, with a 2 min hold at each voltage. The current from the final 30 s of each hold was averaged to represent the polarization response. For electrochemical surface area (ECSA) determination, nitrogen was flowed over the cathode at 0.2 L min−1 to purge residual oxygen until the OCV dropped below 0.15 V, at which point the flow was stopped. Hydrogen underpotential deposition charge was determined from the third CV cycle, measured between 0.06 V and 1.0 V at a scan rate of 20 mV s−1. The ECSA was estimated using a conversion factor of 210 μC cm−2. Before conducting the EIS measurements, the cells were operated at least for 10 min at 900 mA cm−2 to ensure stable operation in order to fulfil the stability and linearity requirements for accurate EIS analysis. The measurements were then carried out at 900 mA cm−2 over a frequency range of 10 kHz to 0.1 Hz, using 10 points per decade. EIS data at 20% RH are not reported, as the target current density could not be reached by all MEAs under this condition, preventing a valid and meaningful comparison with the 60% and 100% RH datasets.
The fuel cell durability test followed the ADT protocol recommended by the U.S. Department of Energy.53 The procedure involved square-wave potential cycling between 0.6 V and 0.95 V, with a 3 s hold at each potential, for a total of 30
000 cycles. The test was conducted under H2/N2 conditions (anode/cathode) at fixed flow rates of 0.2 L min−1 each, at 80 °C, 100% relative humidity, and atmospheric pressure. Performance evaluations were carried out every 10
000 cycles using both CV and polarization curve measurements.
The presence of compositional gradients was assessed using SEM-EDX spectrum imaging, which provides the necessary spatial resolution and elemental contrast to detect TP variations in catalyst layers. Fig. 3 presents the fluorine and platinum signal profiles obtained from spectrum imaging for electrodes GR1 (a) and GR2 (b), which exhibit graded structures, and GR3 (c), characterized by a uniform composition. The first column displays SEM images of each sample, followed by EDS intensity profiles across the catalyst layer width, corresponding to the fluorine signal from the ionomer (red) and the platinum signal from the catalyst particles (dark grey). As shown in Fig. 3c, the GR3 sample, which features a constant I/C ratio of 0.8 throughout the CL, exhibits uniform fluorine and platinum signals, indicating a predominantly homogeneous distribution of ionomer and catalyst. In contrast, the intentionally graded samples shown in Fig. 3a and b exhibit a distinct and more pronounced TP gradient within the catalyst layer. For sample GR1, a continuous and linear increase in ionomer content is observed from the MPL interface toward the membrane, clearly indicating a controlled gradient. This behaviour confirms the effectiveness of the automated layer-by-layer approach, which employs small incremental coating steps using diluted inks and low flow rates to construct a tailored TP composition. The linearity of the gradient strongly suggests that it is a direct result of the intentional manufacturing strategy, rather than an unintended consequence of natural gradients arising from the ink's water-to-alcohol ratio or the drying process.54 A similar trend is observed for sample GR2 (Fig. 3b), which features an inverse gradient design. In this case, the ionomer content increases from the PEM toward the MPL interface. Here as well, the TP ionomer distribution approximates a linear function, further supporting the controlled nature of the fabrication method.
![]() | ||
| Fig. 3 SEM-EDS analysis of the three samples, including linear fits of the fluorine signal across the CL, a) GR1 b) GR2 c) GR3. | ||
The EDS line scans were acquired with a spatial resolution of approximately 0.07–0.13 μm per point, corresponding to several hundred data points across the catalyst layer thickness, ensuring a high-resolution compositional profile. To quantitatively assess the gradient linearity, a linear regression analysis of the fluorine signal (representative of the ionomer distribution) was performed as a function of distance. The resulting coefficients of determination (R2) were 0.75 for GR1 and 0.95 for GR2, confirming a strong linear relationship between fluorine signal and position across the catalyst layer thickness. In contrast, the uniform sample GR3 exhibited R2 ≈ 0, consistent with the absence of a compositional gradient. These results quantitatively demonstrate that the ionomer distribution follows a smooth, continuous transition rather than discrete layered steps.
Moreover, ex situ XRF measurements were performed to determine the Pt loading of the electrodes (Malvern Panalytical, Epsilon 4). X-ray energy of 50 keV, measurement time of 30 s, and a focus distance of 1 mm were used. Calibration was performed using a three-point method with high-precision calibration standards (Micromatter Technologies). The quantified Pt loadings were 0.30 ± 0.01, 0.29 ± 0.01, and 0.31 ± 0.02 mgPt cm−2 for GR1, GR2, and GR3, respectively. The reported standard deviations were derived from nine spectra acquired at different locations across the GDE active area, ensuring a representative evaluation of the overall Pt distribution (see Fig. S1).
These measurements are fully consistent with the gravimetric estimates obtained using a high-precision balance, thereby confirming the reliability and accuracy of the fabrication process. Similarly, for GD4, with a measured loading of 0.31 ± 0.01 mgPt cm−2 the gravimetric estimation method proved to be accurate.
To further assess batch-to-batch reproducibility, XRF measurements were performed on three independently fabricated batches of GDEs. The Pt loadings were found to be highly consistent across batches, with variations within ±0.02 mgPt cm−2, confirming the robustness of the deposition process. A summary of these results is provided in Table S2. XRF was selected for this analysis because it enables rapid, non-destructive quantification of Pt loading without requiring sample preparation, allowing efficient screening of multiple electrodes and measurement locations across different batches.
In addition lower magnification SEM images of samples GR1, GR2 and GR3 are presented in Fig. S2.
It is worth noting that the catalyst layers with a uniform ionomer distribution and same I/C ratio, samples GR3 and GD4, exhibited comparable performance across the entire range of relative humidity conditions. This consistency further validates the effectiveness of the novel double-nozzle manufacturing approach, involving separated solutions for ionomer and catalyst.
The superior performance of GR1 can be attributed to its optimized ionomer distribution. The higher ionomer content near the PEM enhances proton conductivity, while the lower I/C ratio near the MPL facilitates gas transport to the TPB. The higher ionomer content toward the membrane not only facilitates H+ transport within the CL, but also promotes reactant transport due to the resulting interparticle pore gradient in the opposite direction. This dual-direction gradient effect – improving both proton and reactant transport – results in significantly improved current densities, particularly at lower humidities (see Fig. 4d). Furthermore, the increased ionomer content near the PEM enhances water retention, resulting in higher water content at the membrane–CL interface. This configuration proves particularly beneficial, mitigating dehydration under low relative humidity conditions, and further amplifies the performance gap compared to the uniform and inverted gradient configurations. Conversely, the presence of an interparticle pore size gradient increasing toward the CL/MPL interface facilitates efficient removal of excess water, which improves the electrode's overall water management capabilities. In contrast, sample GR2, with a reverse ionomer gradient (i.e., higher ionomer content near the MPL), exhibited the poorest performance across all RH conditions. This is likely due to increased mass transport resistance and reduced proton conductivity through the CL thickness. The EIS results at 0.9 A cm−2 (Fig. 4e and f) further highlight the superior performance of GR1, which exhibits the smallest high-frequency intercept and the most reduced semicircle diameter. These features correspond to a slightly lower ohmic resistance and a clearly reduced charge-transfer resistance compared to GR2, GR3, and GD4. Overall, the impedance analysis confirms the enhanced electrochemical behaviour of sample GR1 under both humidity conditions.
It is worth adding that these performance results, which align with the state of the art,16,32,37–39,55 serve as intrinsic evidence that the manufacturing approach is effective. By depositing the catalyst and ionomer separately, this method enables the in situ formation of the TPB and supports the development of a more controlled and interconnected catalyst layer microstructure. A similar approach has been reported in the literature, where a non-covered catalyst/ionomer interfacial structure was designed to minimize proton resistance and enhance oxygen transport by avoiding dense ionomer coverage on Pt surfaces.56 In addition, the fact that GR3 – fabricated using this layer-by-layer approach – exhibits performance comparable to its counterpart, GD4, produced via a conventional ink-based method (under identical I/C ratio and coating conditions), further validates the effectiveness of this fabrication method.
Moreover, all the performance results presented are fully consistent with the ECSA trends observed for the four samples under different relative humidity conditions. Fig. 5a–c show the CV profiles of GR1, GR2, GR3, and GD4 at 100%, 60%, and 20% RH, respectively. GR1 consistently exhibits the highest ECSA across all RH levels, while GR2 shows the lowest, in alignment with the power and current densities performance data, despite all samples having the same Pt loading. Additionally, it is evident that the ECSA values for all four samples generally increase with rising relative humidity. This trend has also been reported by Fan et al.,57 who primarily attributed the increase in ECSA to enhanced contact between Pt particles and water domains, rather than the formation of new proton transport pathways.
To further assess the performance of these novel engineered catalyst layers, an ADT was conducted to evaluate the long-term durability of the gradient (GR1 and GR2) and uniform (GR3 and GD4) TP ionomer distribution CLs. As previously discussed, conventional gradient designs often suffer from interfacial defects due to abrupt material transitions. In contrast, the gradual and nearly linear TP gradient achieved in this work avoids such sharp interfaces, thereby enhancing mechanical integrity and potentially improving durability.
In discrete step-gradient architectures (e.g. DCL or TCL), abrupt compositional interfaces can introduce localized variations in ionomer content, porosity, and transport properties, leading to non-uniform current distribution and water management during operation. From a transport perspective, such discontinuities can introduce additional interfacial resistances by disrupting the continuity of proton-conducting pathways and hindering oxygen transport across the interface, resulting in locally increased overpotentials and heterogeneous reaction environments.9,58 In contrast, the continuous gradient structure produced here, supported by the linear EDS profiles and corresponding regression analysis (Fig. 3), provides a smooth transition in composition across the catalyst layer thickness, promoting more homogeneous reaction conditions and mitigating localized degradation phenomena. Fig. 6 presents the polarization curves obtained during the ADT, following the U.S. DoE testing protocol,53 for all four samples.
At the beginning of testing, GR1, the gradient-engineered sample with increasing ionomer content toward the PEM, demonstrated a peak power density of 803 mW cm−2 and a limiting current density of 1990 mA cm−2 (Fig. 6a). This performance exceeded that of both the uniform ionomer configuration (Fig. 6c and d) and the inverted gradient design (Fig. 6b), which achieved peak power densities of 620 mW cm−2 and limiting current densities of 1480 mA cm−2 under the same conditions (80 °C, no backpressure, H2/air stoichiometry 1.2/2). During the first 10
000 ADT cycles, the MEAs with uniform ionomer distribution (GR3 and GD4) showed moderate degradation, 12% and 11% reductions in peak power, respectively. In contrast, GR2, featuring an ionomer increasing gradient directed toward the MPL, experienced a significantly larger 23% drop in performance. GR1, despite undergoing the same aggressive chemical and mechanical stresses, exhibited the highest durability, retaining 94% of its initial performance after 10
000 cycles and showing only a 23% decrease after 30
000 cycles. This was notably better than GR3 and GD4, which degraded by 29% and 26%, respectively, over the full ADT period. GR2 showed the poorest durability, with a 35% decline, resulting in a final limiting current density below 1000 mA cm−2 and a peak power output of just 402 mW cm−2.
These findings suggest that the smooth, gradual ionomer gradient in GR1 not only improves performance at low relative humidity, due to enhanced proton transport and water management, but also significantly enhances long-term durability. The more optimal material distribution within the CL promotes a favourable local environment at the CL/PEM interface by increasing water availability where proton conduction is most critical, while simultaneously improving gas transport at the CL/MPL interface through increased interparticle porosity. This dual-gradient structure effectively mitigates microstructural degradation, which would otherwise lead to rapid performance loss. This is further supported by the ECSA analysis, which shows improved ECSA retention for GR1, indicating reduced catalyst degradation. The more uniform reaction environment enabled by the continuous gradient is expected to limit localized current density hotspots, thereby suppressing Pt dissolution–redeposition, particle agglomeration, and carbon support corrosion. In addition, the absence of abrupt compositional interfaces may reduce mechanical stresses associated with ionomer swelling and shrinkage during potential cycling, further contributing to the enhanced structural stability of the catalyst layer.
Therefore, carefully balancing material distribution within the CL is essential to achieving optimal proton conduction near the PEM, further supported by the ionomer's water retention capacity, and minimizing mass transport resistance near the MPL. The controlled construction of this dual-gradient structure within the CL is a key factor in advancing both performance and operational lifetime of PEM fuel cells.
Furthermore, Fig. 7 illustrates the ECSA loss during the ADT, calculated from the CV profiles of the four samples at BOL, 10k, 20k, and 30k cycles (see Fig. S3). As expected, the ECSA degradation trends closely mirror those observed in the polarization curve analysis. GR1 exhibited the highest initial ECSA value (45.6 m2 g−1) and maintained a strong retention of 69% after 30
000 cycles. In contrast, GR2 showed significant degradation early in the test, with a ∼23% ECSA loss after just 10k cycles and a total loss of 45% by the end of the ADT, decreasing from 33.6 m2 g−1 to 18.7 m2 g−1, closely reflecting its performance decline in polarization measurements. For the catalyst layers with uniform ionomer distribution (GR3 and GD4), initial ECSA values were comparable at 37.6 m2 g−1 and 38.8 m2 g−1, respectively. After 30k cycles, GR3 retained 60% of its ECSA, while GD4 retained 62%. Notably, GR1 demonstrated the lowest total ECSA loss (∼31%) over the entire ADT, which is fully consistent with its superior power density retention, reinforcing the advantages of the engineered gradient structure.
In summary, a graded catalyst–ionomer interface offers a promising pathway to optimize the structural and functional transition from the PEM through the CL to the MPL. By introducing a smooth and continuous ionomer gradient, proton transport is effectively directed toward regions of high oxygen reduction reaction activity near the membrane, while water removal and oxygen access are facilitated in zones with lower catalytic demand, such as at the CL/MPL interface. Importantly, the increased ionomer concentration near the PEM also enhances water retention precisely where it is most critical, mitigating dehydration-related degradation and significantly boosting performance, particularly under low relative humidity conditions.
Experimental results confirm the clear advantages of this gradient design. The optimal configuration of sample GR1 (with a higher ionomer-to-carbon (I/C) ratio near the membrane) achieved a peak power density of 803 mW cm−2 and a limiting current density of 1990 mA cm−2 at 80 °C and ambient pressure, outperforming the baseline uniform CL (sample GR3, I/C = 0.8), which reached only 667 mW cm−2 and 1591 mA cm−2, respectively. Under ADT, the gradient-optimized CL showed markedly improved durability, with only a 23% loss in peak power and a 31% reduction in ECSA after 30
000 cycles, substantially better than the uniform and inverted designs.
These findings suggest that the CL and PEM should not be treated as isolated functional layers, but rather as a continuous, interdependent system. This integrated view envisions a compound architecture with low pore space and high ionomer content at the PEM interface for optimal ionic contact, gradually transitioning to a highly porous, low-ionomer region toward the CL/MPL for improved gas transport and water management.
The continuous gradient catalyst layer strategy offers a scalable, high-performance alternative to conventional designs, opening new avenues for next-generation proton exchange membrane fuel cells with significantly enhanced efficiency, durability, and water management capabilities.
Supplementary information (SI) is available. See DOI: https://doi.org/10.1039/d6lf00036c.
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