Realizing multicolored luminescence in two-dimensional (2D) nanomaterials would afford potential for a range of next-generation nanoscale optoelectronic devices. Moreover, combining fine structured spectral line emission and detection may further enrich the studies and applications of functional nanomaterials. Herein, a lanthanide doping strategy has been utilized for the synthesis of 2D ZnSe:Er nanosheets to achieve fine-structured, multicolor luminescence spectra. Simultaneous upconversion and downconversion emission is realized, which can cover an ultrabroadband optical range, from ultraviolet through visible to the near-infrared region. By investigating the low-temperature fine structure of emission spectra at 4 K, we have observed an abundance of sublevel electronic energy transitions, elucidating the electronic structure of Er ions in the 2D ZnSe nanosheet. As the temperature is varied, these nanosheets exhibit tunable multicolored luminescence under 980 and 365 nm excitation. Utilizing the distinct sublevel transitions of Er ions, the developed 2D ZnSe:Er optical temperature sensor shows high absolute (15.23% K) and relative sensitivity (8.61% K), which is superior to conventional Er-activated upconversion luminescent nanothermometers. These findings imply that Er-doped ZnSe nanomaterials with direct and wide band gap have the potential for applications in future low-dimensional photonic and sensing devices at the 2D limit.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acsnano.0c07547 | DOI Listing |
EMBO J
January 2025
Telethon Institute of Genetics and Medicine (TIGEM), 80078, Pozzuoli, Italy.
Endoplasmic reticulum (ER) plasticity and ER-phagy are intertwined processes essential for maintaining ER dynamics. We investigated the interplay between two isoforms of the ER-phagy receptor FAM134B in regulating ER remodeling in differentiating myoblasts. During myogenesis, the canonical FAM134B1 is degraded, while its isoform FAM134B2 is transcriptionally upregulated.
View Article and Find Full Text PDFCell Death Dis
January 2025
Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University, 60438, Frankfurt, Germany.
The transcription factor p63 is expressed in many different isoforms as a result of differential promoter use and splicing. Some of these isoforms have very specific physiological functions in the development and maintenance of epithelial tissues and surveillance of genetic integrity in oocytes. The ASPP family of proteins is involved in modulating the transcriptional activity of the p53 protein family members, including p63.
View Article and Find Full Text PDFNat Commun
January 2025
University of Pittsburgh, Department of Computer Science, Pittsburgh, PA, 15260, USA.
Reliable molecular property prediction is essential for various scientific endeavors and industrial applications, such as drug discovery. However, the data scarcity, combined with the highly non-linear causal relationships between physicochemical and biological properties and conventional molecular featurization schemes, complicates the development of robust molecular machine learning models. Self-supervised learning (SSL) has emerged as a popular solution, utilizing large-scale, unannotated molecular data to learn a foundational representation of chemical space that might be advantageous for downstream tasks.
View Article and Find Full Text PDFEnviron Res
January 2025
Xi'an Key Laboratory of Advanced Photo-Electronics Materials and Energy Conversion Device, Technological Institute of Materials & Energy Science (TIMES), Xijing University, Xi'an 710123, PR China; School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, Shaanxi, PR China. Electronic address:
This paper focuses on the research background of zeolite-based photocatalytic materials, the role of zeolites in photocatalytic materials, and their application in various fields. It focuses on the critical roles of zeolites in photocatalytic materials and their application prospects. It outlines the mechanisms of zeolites in different photocatalytic materials, including adsorption, structural stabilization, domain-limiting, electric field, catalysis, ion exchange, shape-selective, and solvation, which elucidates the potential advantages of zeolites in photocatalytic materials.
View Article and Find Full Text PDFACS Sens
January 2025
College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Greenhouse gases (GHGs) have caused great harm to the ecological environment, so it is necessary to screen gas sensor materials for detecting GHGs. In this study, we propose an ideal gas sensor design strategy with high screening efficiency and low cost targeting four typical GHGs (CO, CH, NO, SF). This strategy introduces machine learning (ML) methods based on density functional theory (DFT) to achieve accurate and rapid screening from a large number of candidate gas sensor materials.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!