98%
921
2 minutes
20
Robotic platforms for chemistry are developing rapidly but most systems are not currently able to adapt to changing circumstances in real-time. We present a dynamically programmable system capable of making, optimizing, and discovering new molecules which utilizes seven sensors that continuously monitor the reaction. By developing a dynamic programming language, we demonstrate the 10-fold scale-up of a highly exothermic oxidation reaction, end point detection, as well as detecting critical hardware failures. We also show how the use of in-line spectroscopy such as HPLC, Raman, and NMR can be used for closed-loop optimization of reactions, exemplified using Van Leusen oxazole synthesis, a four-component Ugi condensation and manganese-catalysed epoxidation reactions, as well as two previously unreported reactions, discovered from a selected chemical space, providing up to 50% yield improvement over 25-50 iterations. Finally, we demonstrate an experimental pipeline to explore a trifluoromethylations reaction space, that discovers new molecules.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10858227 | PMC |
http://dx.doi.org/10.1038/s41467-024-45444-3 | DOI Listing |
Lab Chip
August 2025
Division of Materials Science, Nara Institute of Science and Technology, 8916-5 Takayamacho, Ikoma, Nara 630-0192, Japan.
Impedance flow cytometry is a widely used label-free technique for single-cell analysis; however, its limited sensitivity and lack of universality have hindered its ability to replace conventional flow cytometry. In this study, we propose an adaptive microfluidic channel platform that dynamically adjusts the channel height to improve both measurement performance and system versatility. We found that reducing the channel height by one-third effectively decreases the distance between particles and the sensing electrodes, resulting in an average 3.
View Article and Find Full Text PDFAdv Food Nutr Res
August 2025
Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy.
Fermentation is a cornerstone of the food system, offering several benefits in nutrition, food safety, sustainability, and sensory quality. Historically rooted in food preservation and cultural practices, fermentation has evolved into a dynamic biotechnological tool, spanning diverse applications from dairy, meat, vegetable, and plant-based foods to by-product valorization. The process leverages microbial metabolisms (primarily lactic acid bacteria, yeasts, and molds) to enhance shelf life and sensory properties, improve digestibility, and generate bioactive compounds.
View Article and Find Full Text PDFSci Rep
August 2025
School of Information Science and Engineering, Xinjiang College of Science & Technology, Korla, 841000, Xinjiang, China.
Coverage optimization stands as a foundational challenge in Wireless Sensor Networks (WSNs), exerting a critical influence on monitoring fidelity and holistic network efficacy. Constrained by the limited energy budgets of sensor nodes, the imperative to maximize network longevity while sustaining sufficient coverage has ascended to the forefront of research priorities. Traditional deployment methodologies frequently falter in complex topographies and dynamic operational environments, encountering difficulties in striking an optimal equilibrium between coverage quality and energy efficiency.
View Article and Find Full Text PDFSensors (Basel)
July 2025
Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
In complex dynamic environments, robotic arms face multiple challenges such as real-time environmental changes, high-dimensional state spaces, and strong uncertainties. Trajectory planning tasks based on deep reinforcement learning (DRL) suffer from difficulties in acquiring human expert strategies, low experience utilization (leading to slow convergence), and unreasonable reward function design. To address these issues, this paper designs a neural network-based expert-guided triple experience replay mechanism (NETM) and proposes an improved reward function adapted to dynamic environments.
View Article and Find Full Text PDFACS Appl Mater Interfaces
June 2025
Department of Mechanical Engineering, College of Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong 999077, China.
Developing highly efficient and durable electrocatalysts for hydrogen production via water splitting remains a pivotal challenge for sustainable energy. In this work, we present a bulk nanoporous C15 intermetallic alloy synthesized through electrodealloying of a eutectic multiprincipal element precursor. Unlike conventional metallic nanostructures, this catalyst features an ultrathin multiprincipal element oxide (MPEO) layer, which generates abundant active sites and achieves exceptional hydrogen evolution reaction (HER) activity, surpassing most reported catalysts.
View Article and Find Full Text PDF