Results 21 to 30 of about 486,367 (311)

Inhibition of lipolysis by hydrocarbons and fatty alcohols.

open access: yesJournal of Lipid Research, 1990
The hydrolysis of long-chain triglyceride by pancreatic lipase (EC 3.1.1.3) is inhibited by hydrophobic solutes that are dissolved in the fat. Solutes tested included n-alkanes (C10-C16), aromatic and chlorinated aromatic hydrocarbons (including a PCB ...
GC Ferreira, JS Patton
doaj   +1 more source

The effect of different mouth washes and text messages reminder in the oral health of orthodontic patients

open access: yesBrazilian Journal of Oral Sciences, 2020
Aim: The aim of this study was to investigate the effect of different mouth washes and to study the effect of text message reminder on the oral health status of orthodontic patients treated with fixed appliances.
Saba N. Yaseen   +2 more
doaj   +1 more source

Evaluation of Chlorinated Hydrocarbon Concentrations in Tehran’s Districts Drinking Water [PDF]

open access: yesآب و فاضلاب, 2012
In this study Tehran’s drinking water was evaluated for the presence of chlorinated hydrocarbons during spring and summer of 2009. Chlorinated hydrocarbons are an important class of environmental pollutants that cause adverse health effects on human’s ...
Alireza Pardakhti   +4 more
doaj  

Heat-Activated Persulfate Oxidation of Chlorinated Solvents in Sandy Soil

open access: yesJournal of Spectroscopy, 2014
Heat-activated persulfate oxidative treatment of chlorinated organic solvents containing chlorinated ethenes and ethanes in soil was investigated with different persulfate dosages (20 g/L, 40 g/L, and 60 g/L) and different temperatures (30°C, 40°C, and ...
Jialu Liu   +4 more
doaj   +1 more source

Cometabolic degradation mechanism and microbial network response of methanotrophic consortia to chlorinated hydrocarbon solvents

open access: yesEcotoxicology and Environmental Safety, 2022
The cometabolism mechanism of chlorinated hydrocarbon solvents (CHSs) in mixed consortia remains largely unknown. CHS biodegradation characteristics and microbial networks in methanotrophic consortia were studied for the first time.
Peipei Chen   +6 more
doaj   +1 more source

Inflammation mediators in employees in chronic exposure to neurotoxicants

open access: yesInternational Journal of Occupational Medicine and Environmental Health, 2014
Objectives: The aim of this work is to perform comparative estimation of cytokines levels in chlorinated hydrocarbons and metallic mercury exposure in employees in the dynamics of neurologic disorders formation.
Galina Bodienkova   +3 more
doaj   +1 more source

Bioelectrochemical Chlorinated Aliphatic Hydrocarbons Reduction in Synthetic and Real Contaminated Groundwaters

open access: yesChemical Engineering Transactions, 2022
The widespread contamination of chlorinated aliphatic hydrocarbons (CAHs) as Perchloroethylene (PCE) and Trichloroethylene (TCE) over the past recent years and their uncorrected disposal and storing brought these substances to become one of the most ...
Edoardo Dell'Armi   +4 more
doaj   +1 more source

Formation of chlorinated hydrocarbons by water chlorination

open access: yesChemosphere, 1994
Abstract Model experiments were carried out on the reaction behaviour of benzene, phenol and phenylalanine during chlorination with NaOCI in aqueous solution. The influence of the pH-value, concentration, reaction time and UV-light were also determined.
Lahaniatis, E. S.   +3 more
openaire   +2 more sources

Solubility of fatty acids and other hydrophobic molecules in liquid trioleoylglycerol.

open access: yesJournal of Lipid Research, 1984
The fat solubilities of some long chain fatty acids, alcohols, alkanes, and triacyglycerols, and of some aromatic, chlorinated aromatic, and chlorinated aliphatic hydrocarbons were measured in trioleoylglycerol.
J S Patton   +4 more
doaj   +1 more source

AIMNet2‐NSE: A Transferable Reactive Neural Network Potential for Open‐Shell Chemistry

open access: yesAngewandte Chemie, EarlyView.
AIMNet2‐NSE enables accurate modeling of open‐shell radical chemistry through neural spin‐charge equilibration (NSE). This machine learning interatomic potential predicts radical reaction energies, barriers, and spin‐crossing events with near‐DFT accuracy while offering five orders of magnitude computational speedup, making high‐throughput exploration ...
Bhupalee Kalita   +7 more
wiley   +2 more sources

Home - About - Disclaimer - Privacy