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Laccases, as multicopper oxidases, play a pivotal role in lignin degradation and hold broad industrial promise in biorefineries, bioremediation, textiles, and pulp and paper processing. However, their use is limited by poor stability under harsh operational conditions. Here, we designed a novel thermostable laccase (WCotA) from by combining data-driven mining with rational engineering. WCotA displayed remarkable thermostability and pH tolerance, with an optimal activity at 85 °C and a half-life of 1.0 h. To further improve thermostability, a combinatorial mutation library was constructed and screened, yielding mutant M2. M2 exhibited a prolonged half-life of 2.25 h at 85 °C and enhanced activity of 101.05 U/mg, outperforming the wild type. Structural and molecular dynamics analyses elucidated the mechanisms underlying its improved thermostability. This work provides a robust strategy for laccase discovery and engineering, advancing their sustainable application in industrial processes.
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http://dx.doi.org/10.1021/acs.jafc.5c03876 | DOI Listing |
J Phys Chem B
September 2025
Zhejiang Key Laboratory of Data-Driven High-Safety Energy Materials and Applications, Ningbo Key Laboratory of Special Energy Materials and Chemistry, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.
This study developed a high-precision deep potential (DP) model based on density functional theory (DFT) and the DP-GEN workflow to efficiently simulate the microscopic structures and thermophysical properties of LiF-NaF-KF molten salt systems with varying compositions. Through iterative optimization of the training data set using the DP-GEN active learning strategy, our DP model demonstrated excellent agreement with DFT calculations in predicting energies, forces, and stresses. Leveraging this model, we systematically investigated the local structures and properties of 22 FLiNaK molten salt compositions, including radial distribution functions (RDFs), coordination numbers (CNs), density (ρ), heat capacity (), self-diffusion coefficients (SDCs), electrical conductivity, and shear viscosity.
View Article and Find Full Text PDFJ Agric Food Chem
September 2025
School of Food & Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu Province 212013, China.
Laccases, as multicopper oxidases, play a pivotal role in lignin degradation and hold broad industrial promise in biorefineries, bioremediation, textiles, and pulp and paper processing. However, their use is limited by poor stability under harsh operational conditions. Here, we designed a novel thermostable laccase (WCotA) from by combining data-driven mining with rational engineering.
View Article and Find Full Text PDFSci Rep
September 2025
School of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, China.
To address the lack of quantitative characterization methods for flame propagation during internal non-ignition detonation tests of explosion-proof equipment, this study proposes a damage severity quantification method using an improved LSTM model with thermal imaging feature fusion. A detonation flame thermal imaging dataset is constructed, where flame contours are segmented and features extracted via a pre-trained Faster R-CNN. Temporal sampling generates flame image sequences, from which key spatiotemporal features-area, centroid velocity, aspect ratio, circularity, and area change rate-are derived to describe dynamic flame propagation.
View Article and Find Full Text PDFNeural Netw
August 2025
organization=School of Computer Science and Technology, addressline=China University of Mining and Technology, city=Xuzhou, postcode=221116, state=Jiangsu, country=China.
Recommender systems are essential for filtering content to match user preferences. However, traditional recommender systems often suffer from biases inherent in the data, such as popularity bias. These biases, particularly those stemming from latent confounders, can result in inaccurate recommendations and reduce both the diversity and effectiveness of the system.
View Article and Find Full Text PDFJ Environ Manage
August 2025
Department of Mining and Metallurgical Engineering, Mackay School of Earth Sciences and Engineering, University of Nevada, Reno, United States. Electronic address:
Post-mining landscapes, particularly pit lakes, present complex long-term sustainability challenges that extend beyond the operational phase. While early reclamation practices focused on physicochemical stabilization and waste management, there is a growing emphasis on promoting beneficial end-uses and restoring self-sustaining ecosystems. However, Environmental Impact Assessments (EIAs) often remain limited to local site conditions, overlooking upstream environmental impacts embedded in material and energy use.
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