The purpose of work is to study the characteristics of pharmacokinetic parameters of the influence of ethanol with carbonation («carbonated vodka») to the human body for the purposes and tasks of forensic chemical, chemical and toxicological and forensic research. The authors determined the concentration of ethanol in the blood and urine from oral intake of ethanol with and without carbonation. It was found that the suction stage of carbonated vodka is faster than that of vodka without carbonation by 17.1%, and the stage of elimination of ethanol with carbonation is faster on average by 16.6%.
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http://dx.doi.org/10.17116/sudmed20206303130 | DOI Listing |
Green Chem
December 2024
KU Leuven, Department of Chemistry Celestijnenlaan 200F P.O. box 2404 B-3001 Leuven Belgium
In order to comply with the expected tightening of discharge limits for lithium to surface waters, the lithium-ion battery industry will need access to methods to reduce the concentration of lithium in wastewater down to ppm levels. In this Communication, we discuss the possibility of using sodium and choline soaps as precipitating agents for lithium, comparing the two soap classes and probing the influence of the carbon chain length. It was found that lithium concentrations down to 10 ppm can be reached with sodium stearate, and down to 1 ppm with choline stearate, using a slight excess of the precipitating agent.
View Article and Find Full Text PDFFood Res Int
January 2025
Department of Agricultural Chemistry and Food Science, Faculty of Science, C/ Francisco Tomás y Valiente, 7, Universidad Autónoma de Madrid, 28049 Madrid, Spain; Department of Production and Characterization of Novel Foods, Institute of Food Science Research, CIAL (UAM-CSIC), 28049 Madrid, Spain. Electronic address:
Coffee pulp (CP) is the by-product of coffee processing that urgently needs to be revalorized using sustainable technologies. This work applied a design of experiment (DoE) for modeling the extraction of bioactive compounds from CP using supercritical carbon dioxide (sc-CO) with ethanol as a co-solvent under variable conditions (temperature, pressure, and ethanol percentage). Considering extraction efficiency (per unit of CP) and extraction selectivity (per unit of extract), results showed that ethanol percentage significantly enhanced the efficiency of total phenolic content, as well as the selectivity of chlorogenic acid and protocatechuic acid (p < 0.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
University of Science and Technology of China, Chemistry, Jinzhai Road 96, 230026, Hefei, CHINA.
Solar-driven CO2 reduction to ethanol is extremely challenging due to the limited efficiency of charge separation, sluggish kinetics of C-C coupling, and unfavorable formation of oxygenate intermediates. Here, we elaborately design a red polymer carbon nitride (RPCN) consisting of S-N and Cu-N4 dual active sites (Cu/S-RPCN) to address this challenge, which achieves an impressive ethanol evolution rate of 50.4 µmol g-1 h-1 with 99.
View Article and Find Full Text PDFMicroorganisms
December 2024
Winogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, Moscow 119071, Russia.
Sulfidogenic bacteria cause numerous issues in the oil industry since they produce sulfide, corroding steel equipment, reducing oil quality, and worsening the environmental conditions in oil fields. The purpose of this work was to isolate and taxonomically identify the sulfidogenic bacteria responsible for the corrosion of steel equipment at the Karazhanbas oil field (Kazakhstan). In this study, we characterized five sulfidogenic strains of the genera , , and isolated from the formation water of the Karazhanbas oil field (Kazakhstan).
View Article and Find Full Text PDFMicromachines (Basel)
December 2024
School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
This study addresses the challenge of multi-dimensional and small gas sensor data classification using a gelatin-carbon black (CB-GE) composite film sensor, achieving 91.7% accuracy in differentiating gas types (ethanol, acetone, and air). Key techniques include Principal Component Analysis (PCA) for dimensionality reduction, the Synthetic Minority Over-sampling Technique (SMOTE) for data augmentation, and the Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) algorithms for classification.
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