Results 61 to 70 of about 14,337 (261)
Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen +5 more
wiley +1 more source
Comparative antennal single‐nucleus transcriptomics reveals cell‐type‐dependent transcriptomic divergence in Bactrocera dorsalis, with similar structural cells but divergent sensory neurons. This neuronal diversification is associated with a distinct ammonia‐sensing pathway, linking female attraction to bird‐dropping‐associated cues with nutritional ...
Wei Liu +7 more
wiley +1 more source
Evolutionary Algorithms for Optimal Control in Fed-Batch Fermentation Processes [PDF]
In this work, Evolutionary Algorithms (EAs) are used to achieve optimal feedforward control in a recombinant bacterial fed-batch fermentation process, that aims at producing a bio-pharmaceutical product. Three different aspects are the target of the optimization procedure: the feeding trajectory (the amount of substrate introduced in a bioreactor per ...
Rocha, Miguel +3 more
openaire +2 more sources
This graphical abstract presents gut microbial cross‐feeding through a Mechanism–Technology–Application framework. It summarizes major resource‐transfer modes, the experimental and computational tools used to establish causality, and potential interventions involving dietary substrates, live biotherapeutic products, and engineered microbes.
Chuankai Sun +7 more
wiley +1 more source
Diverging Liquid–Liquid Phase Separation Behavior of Different Recombinant Major Ampullate Spidroins
Fibers spun from the MaSp1‐derivative as well as MaSp1‐MaSp2‐mixtures provide a deeper insight into the assembly process of the spidroins and how hierarchical architectures of spider silk fibers could be achieved. ABSTRACT Spider silk fibers show exceptional mechanical properties, based on their underlying spider silk proteins (spidroins) as well as a ...
Tim Schiller +2 more
wiley +1 more source
Optimal Control of Fed-Batch Fermenters
Optimal control of fed-batch fermenters S. Valentinotti† C. Cannizzaro‡ M.Rhiel‡ U. Holmberg† U. von Stockar‡ D. Bonvin† †Institut d’Automatique, EPFL, 1015 Lausanne, Switzerland ‡Institut de Genie Chimique, EPFL, 1015 Lausanne, Switzerland Fermentors are often run in a fed-batch manner to avoid the formation of overflow metabolites.
Valentinotti, S. +5 more
openaire +2 more sources
A practical electrodialysis model for accelerating system development
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman +3 more
wiley +1 more source
Optimal Control of a Fed‐Batch Fermentation Involving Multiple Feeds
A nonlinear dynamical system, in which the feed rates of glycerol and alkali are taken as the control functions, is first proposed to formulate the fed‐batch culture of 1,3‐propanediol (1,3‐PD) production. To maximize the 1,3‐PD concentration at the terminal time, a constrained optimal control model is then presented.
Liu, Chongyang +3 more
openaire +3 more sources
Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source

