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A starch-polyvinyl alcohol polymer film-based on-site sensor for ammonia: a cost effective day-to-day technique for monitoring fish and meat spoilage.
Anal Methods
January 2025
Department of Chemistry, Dibrugarh University, Dibrugarh 786004, Assam, India.
Ammonia or biogenic amines released by protein degradation during food spoilage have various ill effects on human health and the environment. Herein, an economical colorimetric bisphenol-based sensor was developed from inexpensive reagents and a simple synthetic method for detecting ammonia and monitoring food spoilage. The slightest addition of NH significantly changed the absorption of BP, which was reflected in the detection limit value for NH (7.
View Article and Find Full Text PDF[Development and validation of a conductimetric method for determining traces of detergent in final rinse water].
Ann Pharm Fr
January 2025
Faculté de Médecine, de Pharmacie et de Médecine Dentaire de Fès, B.P. 1893 ; Km 2.200 Route de Sidi Harazem, 30000 Fès, Maroc.
Objective: The aim of our work is to develop a simple, rapid and inexpensive method for the detection and quantification of a detergent (phosphoric acid) in final rinse water using conductivity.
Methods: The conductimetric method was used. A calibration curve was obtained by measuring the conductivity of successive dilutions of a stock solution of the detergent.
A simple cavity-enhanced laser-based heater for reflective samples.
Rev Sci Instrum
January 2025
Institute for Physical Chemistry, University of Göttingen, 37077 Göttingen, Germany.
Surface science instruments require excellent vacuum to ensure surface cleanliness; they also require control of sample temperature, both to clean the surface of contaminants and to control reaction rates at the surface, for example, for molecular beam epitaxy and studies of heterogeneous catalysis. Standard approaches to sample heating within high vacuum chambers involve passing current through filaments of refractory metals, which then heat the sample by convective, radiative, or electron bombardment induced heat transfer. Such hot filament methods lead to outgassing of molecules from neighboring materials that are inadvertently heated; they also produce electrons and ions that may interfere with other aspects of the surface science experiment.
View Article and Find Full Text PDFSynchronously degradation of biogas slurry and decarbonization of biogas using microbial fuel cells.
J Environ Sci Health A Tox Hazard Subst Environ Eng
January 2025
School of Environmental Engineering, Faculty of Environmental and Safety Engineering, Qingdao University of Science and Technology, Qingdao, China.
Two-chamber microbial fuel cell (MFC) with biogas slurry (BS) of corn stover as the anode substrate and as the cathode substrate was investigated to solve the problem of the accumulation of wastewater generated from biogas plants and to achieve low-cost separation of CO from biogas. A simple two-compartment MFC was constructed using biocatalysis and inexpensive materials without expensive catalysts. The performance of MFC (X1-W, Y1-W, Z1-W) with different biogas solution concentrations as anode substrate and MFC (X2-C, Y2-C, Z2-C) with as biocathode were compared, respectively.
View Article and Find Full Text PDFImproving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation.
J Chem Inf Model
January 2025
Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
In the field of computational chemistry, predicting bond dissociation energies (BDEs) presents well-known challenges, particularly due to the multireference character of reactive systems. Many chemical reactions involve configurations where single-reference methods fall short, as the electronic structure can significantly change during bond breaking. As generating training data for partially broken bonds is a challenging task, even state-of-the-art reactive machine learning interatomic potentials (MLIPs) often fail to predict reliable BDEs and smooth dissociation curves.
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