Charge transport is one of the five main steps in the operation of organic photovoltaics, but achieving balanced hole and electron transport with high mobility has been challenging in devices. Here, we report improved charge transport in organic photovoltaics via incorporation of nanostructured inorganic electron transport materials into the active layers of devices. Co-depositing TiO2 nanowires with the organic active layer solution embeds the nanowires directly within active layers of the solar cell. The ability of these nanowires to transport electrons is compared with neat P3HT:PCBM active layers and also devices containing TiO2 nanotube aggregates. Incorporation of TiO2 nanowires yields a six-fold increase in the electron mobility relative to unmodified devices, leading to a 19% improvement in the power conversion efficiency. Lower energetic disorder of the film and more balanced charge transport are also observed upon incorporating TiO2 nanowires. These advantageous effects correlate with the TiO2 nanowire length.
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http://dx.doi.org/10.1039/c3cp50325a | DOI Listing |
Plant Physiol
January 2025
State Key Laboratory of Microbial Metabolism & Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China, P. R.
Mitochondria have generated the bulk of ATP to fuel cellular activities, including membrane trafficking, since the beginning of eukaryogenesis. How inhibition of mitochondrial energy production will affect the form and function of the endomembrane system and whether such changes are specific in today's cells remain unclear. Here, we treated Arabidopsis thaliana with antimycin A (AA), a potent inhibitor of the mitochondrial electron transport chain (mETC), as well as other mETC inhibitors and an uncoupler.
View Article and Find Full Text PDFNanomicro Lett
January 2025
Energy and Environmental Division, Korea Institute of Ceramic Engineering and Technology, Jinju, Gyeongnam, 52851, Republic of Korea.
All-solid-state batteries (ASSBs) are pursued due to their potential for better safety and high energy density. However, the energy density of the cathode for ASSBs does not seem to be satisfactory due to the low utilization of active materials (AMs) at high loading. With small amount of solid electrolyte (SE) powder in the cathode, poor electrochemical performance is often observed due to contact loss and non-homogeneous distribution of AMs and SEs, leading to high tortuosity and limitation of lithium and electron transport pathways.
View Article and Find Full Text PDFMol Oncol
January 2025
Division of Cancer Cell Biology, Department of Pharmaceutical Sciences, Showa University Graduate School of Pharmacy, Tokyo, Japan.
The role of the electron transport chain (ETC) in cell proliferation control beyond its crucial function in supporting ATP generation has recently emerged. In this study, we found that, among the four ETC complexes, the complex I (CI)-mediated NAD regeneration is important for cancer cell proliferation. In cancer cells, a decrease in CI activity by RNA interference (RNAi) against NADH:ubiquinone oxidoreductase core subunit V1 (NDUFV1) arrested the cell cycle at the G/S phase, accompanying upregulation of p21 cyclin-dependent kinase inhibitor expression.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
BCMaterials, Basque Center for Materials, Applications, and Nanostructures, UPV/EHU Science Park, Leioa, 48940, Spain.
The growing demand for environmentally friendly semiconductors that can be tailored and developed easily is compelling researchers and technologists to design inherently bio-compatible, self-assembling nanostructures with tunable semiconducting characteristics. Peptide-based bioinspired materials exhibit a variety of supramolecular morphologies and have the potential to function as organic semiconductors. Such biologically or naturally derived peptides with intrinsic semiconducting characteristics create new opportunities for sustainable biomolecule-based optoelectronics devices.
View Article and Find Full Text PDFSpectral analysis is a widely used method for monitoring photosynthetic capacity. However, vegetation indices-based linear regression exhibits insufficient utilization of spectral information, while full spectra-based traditional machine learning has limited representational capacity (partial least squares regression) or uninterpretable (convolution). In this study, we proposed a deep learning model with enhanced interpretability based on attention and vegetation indices calculation for global spectral feature mining to accurately estimate photosynthetic capacity.
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