Key Takeaways & Executive Findings
- •• DPI-TPFB demonstrates significant p-doping effect on the organic semiconductor PBBT-2T, confirmed by ESR, UV-vis-NIR absorption, and work function measurements. • Doping with DPI-TPFB enhances the electrical conductivity of PBBT-2T films by over four orders of magnitude. • DPI-TPFB exhibits broad applicability, effectively doping various p-type OSCs and even converting the n-type OSC N2200 to p-type behavior. • DPI-TPFB-doped PBBT-2T films achieve a power factor of approximately 10 μW·m⁻¹·K⁻² in organic thermoelectric devices, highlighting its potential for thermoelectric applications.
Abstract
Doping plays a pivotal role in enhancing the performance of organic semiconductors (OSCs) for advanced optoelectronic and thermoelectric applications. In this study, we systematically investigated the doping performance and applicability of the ionic dopant 4-isopropyl-4′-methyldiphenyliodonium tetrakis(penta-fluorophenyl-borate) (DPI-TPFB) as a p-dopant for OSCs. Using the p-type OSC PBBT-2T as a model system, we demonstrated that DPI-TPFB shows significant doping effect, as confirmed by ESR spectra, ultraviolet−visible−near-infrared (UV−vis−NIR) absorption, and work function analysis, and enhances the electronic conductivity of PBBT-2T films by over four orders of magnitude. Furthermore, DPI-TPFB exhibited broad doping applicability, effectively doping various p-type OSCs and even imparting p-type characteristics to the n-type OSC N2200, transforming its intrinsic n-type behavior into p-type. The application of DPI-TPFB-doped PBBT-2T films in organic thermoelectric devices (OTEs) was also explored, achieving a power factor of approximately 10 μW∙m−1∙K−2. These findings highlight the potential of DPI-TPFB as a versatile and efficient dopant for integration into organic optoelectronic and thermoelectric devices.
1. Introduction
Organic semiconductors (OSCs) have attracted considerable attention for their potential in flexible, low-cost optoelectronic and thermoelectric devices. However, their performance is often limited by low charge carrier mobility and poor electrical conductivity. Doping is a powerful strategy to modulate the electrical properties of OSCs, enhancing their conductivity and device performance. Traditional dopants, such as molecular oxidants or Lewis acids, have been employed, but they often suffer from issues like poor stability, limited solubility, or inefficient doping. Ionic dopants, which consist of a cationic dopant and a bulky counterion, have emerged as promising alternatives due to their ability to induce efficient charge transfer and improve doping uniformity.
In this work, we investigate the doping performance of the ionic dopant 4-isopropyl-4′-methyldiphenyliodonium tetrakis(penta-fluorophenyl-borate) (DPI-TPFB) as a p-dopant for OSCs. Using the p-type polymer PBBT-2T as a model system, we demonstrate that DPI-TPFB effectively dopes the semiconductor, leading to a significant increase in electrical conductivity. We further explore the generality of this dopant by testing it on various p-type OSCs and even an n-type OSC, revealing its ability to induce p-type behavior in the latter. Finally, we apply DPI-TPFB-doped films in organic thermoelectric devices, achieving a promising power factor. Our results establish DPI-TPFB as a versatile and efficient dopant for organic electronics and thermoelectrics.
Loading authentic research manuscript (Pages 1–5)...
Jing Guo, Yaru Feng, Jinjun Zhang, Jing Zhang, Ping-An Chen, Huan Wei, Xincan Qiu, Yu Liu, Jiangnan Xia, Huajie Chen, Yugang Bai, Lang Jiang, Yuanyuan Hu (2025). Investigating the doping performance of an ionic dopant for organic semiconductors and thermoelectric applications. SinoTechIntel Verified Research. https://doi.org/10.1088/1674-4926/25010027
Research & Educational Purpose Only:The translations, structured abstracts, analytical annotations, and data reports provided by SinoTechIntel are intended exclusively for academic research, internal corporate R&D, and educational benchmarking. They do not constitute formal engineering, chemical safety, legal, or professional advice.
Copyright & Intellectual Property Notice: Original copyright of the underlying source articles and experimental data remains with the respective authors, institutions, and original publishing journals. SinoTechIntel claims intellectual property only over its proprietary translations, analytical syntheses, and AEO structured enhancements in accordance with international fair use and academic citation principles.
Frequently Asked Questions
What is DPI-TPFB and how does it work as a dopant?
DPI-TPFB (4-isopropyl-4′-methyldiphenyliodonium tetrakis(penta-fluorophenyl-borate)) is an ionic dopant that acts as a p-dopant for organic semiconductors. It works by accepting an electron from the semiconductor's highest occupied molecular orbital (HOMO), creating a hole and increasing the material's conductivity.
What are the key findings of this study?
The study demonstrates that DPI-TPFB significantly enhances the electrical conductivity of PBBT-2T films by over four orders of magnitude. It also shows broad applicability, effectively doping various p-type OSCs and even converting the n-type OSC N2200 to p-type behavior. In thermoelectric devices, DPI-TPFB-doped PBBT-2T films achieved a power factor of approximately 10 μW·m⁻¹·K⁻².
How was the doping effect of DPI-TPFB confirmed?
The doping effect was confirmed using electron spin resonance (ESR) spectroscopy, ultraviolet-visible-near-infrared (UV-vis-NIR) absorption spectroscopy, and work function measurements. These techniques provided evidence of charge transfer and increased carrier concentration.
What is the significance of DPI-TPFB for organic thermoelectric devices?
DPI-TPFB-doped PBBT-2T films exhibited a power factor of about 10 μW·m⁻¹·K⁻², indicating that DPI-TPFB is a promising dopant for improving the thermoelectric performance of organic materials, which is crucial for converting waste heat into electricity.
Can DPI-TPFB be used with n-type organic semiconductors?
Yes, the study shows that DPI-TPFB can dope n-type OSCs like N2200, transforming their intrinsic n-type behavior into p-type. This demonstrates the versatility of DPI-TPFB as a dopant for both p-type and n-type organic semiconductors.
Related Technical Papers & Translations
A Novel Approach for Enhanced Brain Tumor Segmentation Using Multimodal MRI and Deep Learning
Brain tumor segmentation from multimodal MRI is crucial for diagnosis and treatment planning. In this study, we propose a novel deep learning framework that integrates structural and functional imaging modalities to improve segmentation accuracy. Our method employs a multi-scale attention mechanism and a hybrid loss function to handle class imbalance and boundary ambiguity. Evaluated on the BraTS benchmark, our approach achieves state-of-the-art performance, with Dice scores of 0.91, 0.87, and 0.84 for whole tumor, core, and enhancing tumor, respectively. Furthermore, we demonstrate the generalizability of our model across different scanners and protocols. Our findings suggest that the proposed method can significantly aid clinical decision-making and surgical planning.
Investigation of coupled acoustic and electrical responses and early warning approaches during re-loading of damaged coal
Initial damage from engineering disturbances in deep coal mining degrades mechanical properties and heightens dynamic-hazard risks, challenging conventional monitoring. This study probes the coupled acoustic-electrical responses of initially damaged coal under reloading and develops a multi-parameter, multi-level dynamic integrated early-warning model. Using a true-triaxial Split Hopkinson Pressure Bar (SHPB) system, we prepared specimens with graded damage by varying static deviatoric stresses and dynamic impacts. Uniaxial compression reloading was conducted with synchronous acoustic emission (AE) and resistivity monitoring. Joint time-domain responses of force, acoustics, and electricity delineated distinct loading stages. Time-frequency features were extracted via Fourier and wavelet transforms; crack architecture was quantified by 3D AE localization and fractal-dimension analysis. Initial damage markedly reduced load-bearing capacity. Resistivity decreased sharply with increasing deviatoric stress, while cumulative AE counts increased strongly. The AE spectrum evolved from bimodal to broadband with low- and high-frequency enhancement. The resistivity spectrum showed progressive bandwidth broadening, energy amplification, and high-frequency advancement. The AE spatial fractal dimension rose significantly during compaction. An integrated warning system combining multiscale entropy fusion, Temporal Convolutional Network (TCN)-Transformer forecasting, recurrence-network analysis, and a Bayesian framework yielded a 28.4 s lead time, offering a theoretical basis and technical pathway for intelligent prevention of dynamic hazards.
Influence of aggregate particle size on fracture behavior and energy evolution of cemented rockfill in the post-peak stage
Cemented rockfill (CRF) combines structural support with sustainable reuse of coal-derived solid waste. This study integrates digital image correlation, acoustic emission monitoring, and finite–discrete element simulations to investigate mechanical behavior, fracture development, and energy evolution of CRF containing 54% aggregate content with three grain-size distributions (5–10, 10–20, and 20–30 mm). Results indicate finer aggregates raise compressive strength and elastic modulus, and increase post-peak softening and residual stiffness. Fracture patterns transition from dominantly unidirectional failure in coarse specimens to pronounced X-shaped conjugate shear in fine specimens, with cracks initiating at boundaries and propagating inward. The proportion of failed joints at comparable strains decreases markedly with finer gradation, reflecting a more homogeneous crack network that enhances post-peak load retention and produces frequent minor stress fluctuations. Energy analyses reveal a coarse > medium > fine ordering in cumulative dissipation; however, finer aggregates delay rapid kinetic and dissipative energy release, promoting slower energy redistribution and improved load resistance. These findings quantify how aggregate gradation controls deformational mechanisms, crack topology, and energy partitioning, and provide design guidance for optimizing aggregate size and cementitious composition to enhance ductility, energy absorption, and structural reliability of CRF in underground engineering.