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Physiological and growth responses of tambaqui (Colossoma macropomum) fed Croton conduplicatus essential oil and challenged with Aeromonas hydrophila.
Vet Res Commun
December 2024
Universidade Federal do Vale do São Francisco (UNIVASF), Campus Ciências Agrárias, Km 12, BR 407, Lote 543, s/n, Projeto de Irrigação Senador Nilo Coelho, Petrolina, CEP 56300-000, PE, Brazil.
This study aimed to assess the effect of Croton conduplicatus essential oil (CCEO) in diets for tambaqui (Colossoma macropomum) (14.50 ± 0.07 g), a native Amazonian fish.
View Article and Find Full Text PDFOmics-driven onboarding of the carotenoid producing red yeast Xanthophyllomyces dendrorhous CBS 6938.
Appl Microbiol Biotechnol
December 2024
Life Sciences and Bioengineering Center, Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.
Transcriptomics is a powerful approach for functional genomics and systems biology, yet it can also be used for genetic part discovery. Here, we derive constitutive and light-regulated promoters directly from transcriptomics data of the basidiomycete red yeast Xanthophyllomyces dendrorhous CBS 6938 (anamorph Phaffia rhodozyma) and use these promoters with other genetic elements to create a modular synthetic biology parts collection for this organism. X.
View Article and Find Full Text PDFAdsorption and Sensing Performance of Transition Metal Decorated Graphene Quantum Dots for AsH, NH, PH, and HS.
Langmuir
December 2024
Department of Physics, National Institute of Technology, Jamshedpur-831014, India.
We have conducted a systematic study employing density functional theory (DFT) and quantum theory of atoms in molecules (QTAIM) to explore the gas sensing capabilities of nitrogen-doped single vacancy graphene quantum dots (SV/3N) decorated with transition metals (TM = Mn, Co, Cu). We have studied the interactions between TM@SV/3N and four different target gases (AsH, NH, PH, and HS) through the computation of adsorption energies, charge transfer, noncovalent interaction, density of states, band gap, and work function for 12 distinct adsorption systems. Our comprehensive analysis included an in-depth assessment of sensors' stability, sensitivity, selectivity, and reusability for practical applications.
View Article and Find Full Text PDFConsidering Micro/nanostructures at the Surface of Photothermal Materials: A Game Changer in Correct Estimation of Evaporation Rate and Energy Conversion Efficiency in Interfacial Solar Vapor Generation Systems.
Langmuir
December 2024
Department of Physical Chemistry, Faculty of Chemistry and Petroleum Sciences, Bu-Ali Sina University, Hamedan 65167 ,Iran.
Interfacial solar evaporator generation (ISVG) is a new, cost-effective, and eco-friendly emerging method for water desalination. Two main criteria for evaluating ISVG performance are evaporation rate () and solar-to-vapor conversion efficiency (η). The main challenge of the previously presented models for the estimation of and η in 2D systems is that in most cases the calculated values are beyond the theoretical limits, > 1.
View Article and Find Full Text PDFMachine Learning Boosted Entropy-Engineered Synthesis of CuCo Nanometric Solid Solution Alloys for Near-100% Nitrate-to-Ammonia Selectivity.
ACS Appl Mater Interfaces
December 2024
Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, 214122 Jiangsu, China.
Nanometric solid solution alloys are utilized in a broad range of fields, including catalysis, energy storage, medical application, and sensor technology. Unfortunately, the synthesis of these alloys becomes increasingly challenging as the disparity between the metal elements grows, due to differences in atomic sizes, melting points, and chemical affinities. This study utilized a data-driven approach incorporating sample balancing enhancement techniques and multilayer perceptron (MLP) algorithms to improve the model's ability to handle imbalanced data, significantly boosting the efficiency of experimental parameter optimization.
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