Ting Lina,
Feng Zenga,
Zhiming Zhonga,
Xiaoling He*b,
Zhenzhong Sunac and
Jin Xu
*ac
aSchool of Mechanical Engineering, Dongguan University of Technology, Dongguan 523808, China. E-mail: xujin@dgut.edu.cn
bKey Laboratory of 3D Printing Technology in Stomatology, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, China. E-mail: xiaolinghe@gdmu.edu.cn
cGuangdong-Hong Kong-Macao Joint Laboratory for Neutron Scattering Science and Technology, Dongguan University of Technology, Dongguan 523808, China
First published on 29th May 2025
The development of highly conductive composites hinges critically on the uniform dispersion of conductive fillers within polymer matrices, yet traditional metal-based and carbon-based conductive materials often encounter issues of agglomeration. In this study, we successfully develop a homogeneous conductive composite of poly(benzodifurandione) (PBFDO) and thermoplastic polyurethane (TPU) by leveraging the intermolecular hydrogen bonding effect. This composite not only demonstrates excellent stretchability and achieves a peak electrical conductivity of 312 S cm−1, but also holds significant potential for applications in electromagnetic interference shielding, thermal management, and sensing. Specifically, the PBFDO–TPU conductive composite (300 μm) exhibits superior electromagnetic interference shielding performance, achieving a maximum electromagnetic shielding effectiveness of 40.57 dB, primarily through the electromagnetic reflection mechanism. Moreover, the PBFDO8-TPU conductive composites exhibit remarkable thermal management capabilities. Within a voltage of 2.5 V, the Joule heater can maintain a stable temperature of 100 °C. Lastly, the flexible sensor constructed using this conductive composite is capable of accurately monitoring minute strains associated with human physiological activities.
EMI shielding materials are divided into two types by mechanism: absorptive materials dissipate electromagnetic energy via dielectric/magnetic losses, while reflective materials use high conductivity to create impedance mismatches, reflecting waves at interfaces and blocking penetration into protected spaces.7,8 Compared to absorptive materials, reflective EMI shielding materials offer superior material selection flexibility, with high electrical conductivity as their key feature. The core attribute of EMI shielding materials is their high electrical conductivity. Consequently, while metallic films, such as copper and aluminum foils, have been extensively applied in this domain, their high density and lack of flexibility pose significant impediments to their suitability as next-generation EMI shielding materials.9 Stretchable conductive composites, which offer a unique blend of high conductivity and flexibility, present a significant challenge in selecting appropriate conductive fillers and ensuring their uniform dispersion throughout the polymer matrix. Conductive fillers primarily consist of metal-based materials, carbon-based conductive materials, and conductive polymers.10–13
Metal-based materials, including metal nanowires, metal nanoparticles, and metal carbides, demonstrate remarkable electrical conductivity.14–17 However, their high surface energy and powerful intermolecular forces make them susceptible to agglomeration and difficult to disperse evenly within a polymer matrix. Furthermore, the elevated density of the metal component makes conductive composites utilizing metallic fillers less optimal for certain applications. Carbon-based conductive fillers, such as carbon nanotubes, graphene, and carbon black, possess high conductivity and low density, yet they also face the challenge of ready agglomeration.18 To address these challenges, techniques such as ultrasonic dispersion, covalent modification, and surfactant are typically employed.19–22 However, these approaches may compromise conductive performance and involve relatively intricate procedures. Conductive polymers, characterized by their organic conjugated polymer with a heterocyclic structure, derive their conductive properties from the extensive distribution of delocalized electrons or holes along the conjugated main chain, generated during the doping process. Conductive polymers, including poly(3,4-ethylenedioxythiophene-2,5-diyl):poly(styrenesulfonate) (PEDOT:PSS), polyaniline, and polypyrrole, are well-known for their exceptional conductivity and low density.23–25 Their aqueous solutions remain stable and exhibit resistance to agglomeration, which enables seamless blending with the polymer matrix, positioning them as an optimal material system for the preparation of conductive composites. The PEDOT:PSS, a prominent conductive polymer that uses water as its solvent, can be uniformly mixed with aqueous elastomer solutions to produce polymer conductive composites with enhanced electromagnetic shielding performance.26 However, the majority of polymer matrices are oil-soluble, posing challenges in forming stable conductive composites with water-soluble PEDOT through straightforward blending techniques.
Recently, Huang et al. has been successfully synthesized a highly conductive n-type self-doped conducting polymer, poly(benzodifurandione) (PBFDO).27 This polymer, which uses dimethyl sulfoxide (DMSO) as the solvent, demonstrates superior conductivity compared to PEDOT:PSS and has exhibited exceptional performance in applications such as polymer electrodes, photoelectric generators, and electrochemical transistors.28–32 In view of its excellent electrical conductivity, the conductive composites based on PBFDO exhibit significant potential for applications in various fields, including electromagnetic shielding, thermal management, and sensing.
Inspired by this, we decided to develop a conductive composite material based on PBFDO. Considering that PBFDO is soluble in DMSO, and DMSO can efficiently dissolve the widely used thermoplastic polyurethane (TPU), this study employed a straightforward solution blending technique to prepare the PBFDO-PU conductive solution, followed by fabricating the PBFDO–TPU conductive composite film using vacuum drying technology. The obtained PBFDO–TPU conductive film exhibits remarkable performance in various domains, including electromagnetic shielding, thermal management, and sensing.
![]() | (1) |
Among these parameters, σ represents the electrical conductivity, while Rs and d denote the surface resistance and the sample thickness, respectively.
The two ends of the sensor were securely fastened to the fixtures of the tensile testing machine and subjected to stretching at a rate of 30 mm min−1. Concurrently, a digital multimeter (DMM6500, Keithley) was employed to continuously monitor the sensor's resistance in real-time throughout the stretching process, thereby obtaining the resistance–strain relationship curve. The sensor's sensitivity (GF) can be quantified using eqn (2).
![]() | (2) |
Among these, ΔR represents the resistance change induced by strain; R0 denotes the initial resistance value; and ε signifies the strain of the material.
The total electromagnetic shielding effectiveness (SET) is typically comprised of three components: the reflection effectiveness (SER), absorption effectiveness (SEA), and multiple reflection effectiveness (SEM). Among these, SER and SEA are pivotal parameters for quantifying the electromagnetic shielding performance of materials. When the SET surpasses 15 dB, the impact of multiple reflections (SEM) can generally be disregarded, allowing SET to be expressed using the following formula.
SET(dB) = SER + SEA | (3) |
The parameters of S11r, S11i, S21r and S21i can be obtained through the network analyzer, and the reflectance (R), transmittance (T), absorptance (A), reflection shielding effectiveness (SER), absorption shielding effectiveness (SEA) and electromagnetic shielding efficiency (ESE) can be calculated by using the eqn (4)–(9).
R = (S11r)2 + (S11i)2 = |S11|2 | (4) |
T = (S21r)2 + (S21i)2 = |S21|2 | (5) |
A = 1 − T − R | (6) |
![]() | (7) |
![]() | (8) |
![]() | (9) |
In the Joule heating performance test, a high-precision linear power supply (eTM-L605SPL6, eTOMMENS) was employed to provide a stable voltage to the PBFDO8-TPU composite material. The surface temperature was monitored in real time using an infrared thermal imager, and simultaneous infrared thermal images were captured.
As depicted in Fig. 2(a), the infrared characteristic absorption peak of TPU, located at 3334 cm−1 and attributed to the stretching vibrations of the –NH– bond,33 undergoes a shift to a lower wavenumber of 3316 cm−1 with an increase in the doping ratio of PBFDO, thereby signifying an enhancement in intermolecular hydrogen bonding.34 The infrared spectra exhibit peaks at 1728 cm−1 and 1701 cm−1, attributable to the stretching vibrations of non-hydrogen-bonded and hydrogen-bonded carbonyl groups, respectively.35 Notably, with an increase in the PBFDO content, a gradual decrement in the intensity of the non-hydrogen-bonded carbonyl peak at 1728 cm−1 is observed, whereas the intensity of the hydrogen-bonded carbonyl peak at 1701 cm−1 progressively intensifies. Through the fitting analysis of the characteristic peaks associated with the carbonyl stretching vibrations (Fig. 2(b) and Table S1, ESI†), the quantitative calculation of the carbonyl hydrogen bonding index (RH) can be achieved according to the following equation.36
![]() | (10) |
Among these, A1701 and A1728 respectively denote the areas of the peaks with peak positions at 1701 cm−1 and 1728 cm−1. The relationship between RH and PBFDO content, as depicted in Fig. 2(c), reveals a distinct positive correlation, with the RH value of pure TPU being 0.75, increasing to 1.61 for the composite containing 2 wt% PBFDO, and further to 3.26 for the composite with 12 wt% PBFDO. This observation further reinforces the idea that the carbonyl groups found in PBFDO are capable of forming intermolecular hydrogen bonds with the hydrogen atoms on the imino group of TPU, thereby enhancing their compatibility and blending process.
To further investigate the intermolecular interactions, rheological frequency sweep testing (0.1–100 rad s−1) was conducted to analyze the storage modulus (G′) and loss modulus (G′′) of both TPU and PBFDO8-TPU. As shown in Fig. S1 (ESI†), the consistent dominance of G′ over G′′ across the entire frequency spectrum confirms the characteristic elastomeric behavior of both materials. Notably, PBFDO8-TPU exhibited a 63% reduction in G′ (60 kPa) compared to pristine TPU (160 kPa). This marked decrease in mechanical rigidity can be attributed to the competitive hydrogen-bonding interactions between PBFDO molecules and TPU chains. Specifically, the newly formed hydrogen bonds between PBFDO and TPU components partially disrupt the original hydrogen-bonding network within the TPU matrix, thereby modifying the polymer's viscoelastic response.
Additionally, X-ray photoelectron spectroscopy (XPS) was utilized to conduct full-spectrum and detailed scans of carbon (C), nitrogen (N), and oxygen (O) on both pure TPU and PBFDO8-TPU composite, as shown in Fig. 2(d)–(f). The XPS full spectrum depicted in Fig. 2(d) exhibits characteristic peaks corresponding to C1s (284.80 eV), O1s (532.08 eV), and N1s (399.55 eV) in both TPU and PBFDO8-TPU composite. The high-resolution C1s XPS spectrum presented in Fig. 2(e) reveals the presence of four distinct carbon species within TPU and PBFDO8-TPU: C–C (284.80 eV), C–O (285.90 eV), C–N (286.05 eV), and O–CO (288.90 eV).37 Notably, in comparison to TPU, a higher proportion of the O–C
O component is observed in PBFDO8-TPU, attributed to its presence as a functional group of PBFDO. Furthermore, the high-resolution O1s XPS spectrum illustrated in Fig. 2(f) demonstrates two different forms of oxygen present within TPU: O–C
(532.08 eV) and
–C
O (533.62 eV).38 In contrast, PBFDO8-TPU showcases an additional type of oxygen: C–OH (533.06 eV), which likely originates from a small quantity of unreacted enol groups within PBFDO.27
The scanning electron microscope (SEM) images of the PBFDO–TPU conductive composites are presented in Fig. 3. The pure TPU film exhibits a smooth interface with numerous micrometer-sized pores on its surface, which may be attributed to the evaporation of the processing solvent DMSO during the curing process (Fig. 3(a) and (b)). Upon incorporation of a small amount of PBFDO (2–4 wt%), the pore size in the composite material significantly increases, displaying a more dense distribution and clearer interface contour (Fig. 3(c)–(f)), indicating that hydrogen bonding between PBFDO and TPU molecules influences the aggregation morphology of TPU. With further increase in PBFDO doping content (6–12 wt%), the distinct porous interface within the composite material gradually becomes blurred, resembling cotton-like connections (Fig. 3(g)–(l)).
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Fig. 4 (a) DSC curves, (b) XRD curves, (c) stress–strain curves, and (d) electrical conductivity of PBFDO–TPU conductive composites. |
The XRD pattern of pure TPU film (Fig. 4(b)) exhibits a significant broad diffraction peak at approximately 20.4°, which corresponds to the crystallization behavior of polyurethane soft segments.39 As the PBFDO doping ratio increases, this diffraction peak gradually shifts towards higher angles, indicating a reduction in the lattice spacing of polyurethane soft segments due to hydrogen bonding between TPU and PBFDO. Moreover, an additional diffraction peak emerges near 27.3° as a result of π–π stacking (010) of PBFDO molecules.27 The intensity of this peak increases with higher PBFDO content, indicating a more ordered arrangement of the stacked PBFDO molecules. These findings suggest that PBFDO molecules are not randomly distributed within the TPU matrix but instead exhibit an organized stacked structure, which contributes to the enhanced conductivity attributed to PBFDO.
The stress–strain relationship of PBFDO–TPU conductive composites is illustrated in Fig. 4(c). As the concentration of PBFDO increases, there is a notable decline in both the fracture strength and fracture elongation of the composite material. Specifically, when the PBFDO content reaches 2 wt%, the fracture elongation decreases from 975% in pure TPU to 745%. Moreover, as the PBFDO content rises to 4 wt%, the fracture elongation further diminishes to 480%. Notably, when the PBFDO content exceeds 6 wt%, there is a substantial reduction in fracture elongation, approaching as low as 40%. On one hand, at elevated levels of PBFDO content, intermolecular hydrogen bonding between PBFDO and TPU substantially restricts the chain mobility of TPU, leading to a significant reduction in the toughness of the composites. This is due to the fact that the high toughness of polymers predominantly depends on unimpeded segmental movement. On the other hand, PBFDO, being a rigid polymer without side chains, exhibits no segmental motion, as indicated by the absence of a discernible glass transition temperature. Consequently, an increase in the doping concentration of PBFDO further enhances the overall rigidity of the composite.
Electrical conductivity serve as a critical performance indicator for conductive composites. Fig. 4(d) illustrates the electrical conductivity of the PBFDO–TPU. Due to equipment limitations, the reference value for pure TPU's electrical conductivity is reported as 6.76 × 10−14 S cm−1.40 Adding 0.5 wt% PBFDO increases conductivity by about nine orders of magnitude to 5.8 × 10−5 S cm−1, thanks to PBFDO's high conductivity and ordered structure in the TPU matrix. Further increasing the PBFDO content to 2 wt% results in an enhanced electrical conductivity close to 0.71 S cm−1, while contents of 4% and 12% lead to respective electrical conductivity of up to 81 S cm−1 and 312 S cm−1. This exceptional blend uniformity enables a low percolation threshold at only 1%, facilitating formation of a conductive network even with minimal amounts of PBFDO. Additionally, Table S2 provides the electrical conductivity data of other highly conductive composites (e.g., TPU/PEDOT:PSS, TPU/MWCNT, TPU/AgNWs), specifically demonstrating that PBFDO–TPU achieves comparable electrical conductivity to these systems.
To further elucidate the EMI shielding mechanism of PBFDO–TPU conductive composites, the coefficients of reflectivity (R), absorptivity (A), and transmissivity (T) were calculated as shown in Fig. 5(c). In PBFDO–TPU conductive composites, with the exception of the low-conductivity PBFDO2-TPU, where the value of T approximates zero, all other doping ratios demonstrate an R value exceeding 93%. Consequently, reflection plays a predominant role in the electromagnetic shielding mechanism of PBFDO–TPU conductive composites (Fig. S2, ESI†). Fig. 5(d) illustrates the relationship between different doping ratios of PBFDO and Electric Shielding Efficiency (ESE) for the conductive composites. It is evident that pure TPU material only exhibited an ESE value of 12.19%, indicating negligible influence on EMI shielding performance. Conversely, TPU composite material containing 2 wt% PBFDO attained an impressive ESE value of 98.54%, demonstrating outstanding EMI shielding performance. Furthermore, increasing the content of PBFDO to 12 wt% resulted in an elevated ESE value reaching up to 99.99%, which satisfies most requirements.
In light of the reflective EMI shielding mechanism of PBFDO–TPU, it is essential to consider electrical conductivity as the primary determinant of EMI shielding effectiveness, rather than the thickness of composites. Therefore, we evaluated the EMI shielding capability of thinner PBFDO–TPU films (30–100 μm) (Fig. S3, ESI†). Due to its lower electrical conductivity, the reduction in film thickness resulted in a decline in the electromagnetic shielding effectiveness of PBFDO2-TPU (100 μm), reaching 6 dB. Conversely, in PBFDO–TPU with a higher doping ratio of PBFDO, which exhibits improved electrical conductivity, the decrease in thickness had a minimal impact on its EMI shielding effectiveness, maintaining a level above 20 dB. Remarkably, even when the initial thickness of PBFDO12-TPU was reduced from 300 μm to 30 μm, it still achieved an outstanding electromagnetic shielding effect of 28 dB.
To further validate the EMI shielding performance of the PBFDO–TPU composite material, we conducted an experiment to shield a wireless mouse Bluetooth connection signal, as depicted in Fig. 6. Initially, the mouse was completely encased in aluminum foil, which led to the disruption of the Bluetooth connection signal as a result of the EMI shielding properties of aluminum foil (Fig. 6(a)). Subsequently, a small aperture was created in the aluminum foil. The mouse promptly re-established the Bluetooth connection with the computer, thereby enabling normal cursor control (Fig. 6(b)). Finally, the pinhole in the aluminum foil was sealed using the PBFDO8-TPU material. It was observed that the Bluetooth connection between the mouse and the computer was interrupted once more, indicating that PBFDO8-TPU possesses excellent EMI shielding properties (Fig. 6(c)).
Joule heating refers to the thermal energy produced when an electric current flows through a resistive medium. Under conditions of constant voltage, the magnitude of Joule heating is inversely proportional to the resistance of the material. Consequently, the PBFDO8-TPU conductive composite, characterized by its superior conductivity, is anticipated to demonstrate exceptional electrothermal conversion performance. Fig. 8 illustrates the Joule heating data for the PBFDO8-TPU conductive composite under various applied voltages. As illustrated in Fig. 8(a), at each constant driving voltage, the surface temperature of the Joule heater device rises rapidly and subsequently stabilizes as a result of the equilibrium between heat generation and dissipation. Within a range of driving voltages from 0.5 V to 2.5 V, PBFDO8-TPU enables continuous temperature control between 28 °C and 101 °C. Moreover, thanks to its exceptional thermal conductivity performance, once power supply is discontinued, the surface temperature quickly returns to room temperature level. The characteristic growth time constant (τg = 9.5 s) and decay time constant (τd = 8 s) were determined through fitting the time-temperature data. These parameters demonstrate the system's rapid thermal response, with τg representing the heating phase to steady-state and τd characterizing the cooling phase to ambient temperature. The efficiency of heat transfer (hr+c) was determined to be 47.1 W m−2 K−1, demonstrating the system's high thermal energy transfer efficiency.
The relationship curve between steady-state temperature obtained from thermal imaging images (Fig. 8(b)) and its corresponding driving voltage was plotted (Fig. 8(c)). By fitting experimental data using a quadratic equation model, we derived an equation describing this relationship as T = 12.10V2 + 27.44 (Fig. 8(c)). The experimental data aligns well with this fitted curve and confirms our expectation that steady-state temperature should be proportional to square of driving voltage in terms of thermal characteristics analysis. According to this equation, precise temperature control can be achieved by adjusting the voltage to attain the desired temperatures. The magnitude of the coefficient associated with V2, which exhibits a clear positive correlation with the material's conductivity, significantly influences the electrothermal conversion efficiency of the Joule heater. Consequently, benefiting from the superior conductivity of PBFDO8-TPU, this heater exhibits significantly enhanced electrothermal conversion efficiency in comparison with previous studies.41–43 After conducting multiple cycles of power-on and power-off experiments, Fig. 8(d) illustrates the temperature–time variation curve of the heater under a driving voltage of 2 V. During the repeated testing process, the Joule heater consistently demonstrates stable heating and cooling rates, as well as a reliable steady-state temperature, making it exceptionally well-suited for potential future commercialization scenarios.
Therefore, we endeavored to employ the Joule heater in the realm of thermal therapy heating patches, renowned for their flexibility, thinness, and low operational voltage. The thermal therapy heating patch was affixed to the dorsal side of the hand using a constant driving voltage of 1.5 V. Fig. S4 (ESI†) illustrates real-time temperature measurements along with corresponding thermal imaging data. Following a power-on time of 12 seconds, the temperature at the contact area with the heater swiftly escalated from ambient temperature to 37.5 °C and gradually ascended to approximately 56.5 °C within one minute. Flexible Joule heaters can effectively alleviate and mitigate the discomfort associated with cold sensitivity caused by various conditions, while also significantly reducing menstrual cramps in women.
As depicted in Fig. 9(a), when the flexible sensor is closely attached to the subject's finger joint, it exhibits exceptional capability in real-time discrimination of sensor signal variations across three distinct bending states of the finger. Notably, an augmented bending angle corresponds to an increased resistance change in the sensor. Furthermore, by positioning the flexible sensor on the throat region, as illustrated in Fig. 9(b), it becomes feasible to achieve continuous monitoring of resistance alterations caused by swallowing activity within the throat area. In order to capture dynamic information pertaining to knee movement during flexion testing, sensor was securely adhered onto the anterior aspect of knees as demonstrated in Fig. 9(c). This arrangement enables recording changes in resistance throughout knee flexion and facilitates visualization of knee movement dynamics. Similarly, through tight attachment of sensor on heels during running exercises, step frequency can be effectively monitored. When heel contacts ground surface during each stride cycle, pressure exerted on sensors leads to increased resistance; conversely, when heel lifts off from ground surface at toe-off phase, pressure diminishes resulting in decreased resistance values. By analyzing signals derived from Fig. 9(d), the running frequency of the tester was inferred as 180 steps min−1. Real-time monitoring of running frequency provides valuable insights into runners’ rhythmical patterns, enabling comprehensive performance analysis and optimization of training plans.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d5tc01612f |
This journal is © The Royal Society of Chemistry 2025 |