Children learn through play, and they learn more than adults might expect. Science experiments are a great way to spark their curiosity, get their minds active, and encourage them to do something that doesn¡¯t involve a screen. 18640-74-9, C7H11NS. A document type is Conference Paper, introducing its new discovery., 18640-74-9
An empirical model was developed to describe and predict the change in gas-liquid partition behaviour of a wide range of volatile compounds in aqueous sucrose solutions. The static equilibrium headspace concentrations of 40 volatiles (from different chemical classes e.g. pyrazines, alcohols, esters and ketones and with different physical properties e.g. volatility and solubility), were measured above aqueous sucrose solutions [0-65% (w/v)]. As sugar concentration increased, the headspace concentration of some compounds increased, whilst others stayed the same or decreased. The changes in volatile headspace concentrations were correlated (using partial least squares regression) with a range of physicochemical descriptors which were calculated from the compound structure. The model was composed of seven physicochemical descriptors and had a regression coefficient, R2=0.74. An external test set was used to validate the model. The key descriptors in the model were (log P)2, LUMO energy and a connectivity index term. Copyright (C) 2000 Elsevier Science Ltd.
An empirical model was developed to describe and predict the change in gas-liquid partition behaviour of a wide range of volatile compounds in aqueous sucrose solutions. The static equilibrium headspace concentrations of 40 volatiles (from different chemical classes e.g. pyrazines, alcohols, esters and ketones and with different physical properties e.g. volatility and solubility), were measured above aqueous sucrose solutions [0-65% (w/v)]. As sugar concentration increased, the headspace concentration of some compounds increased, whilst others stayed the same or decreased. The changes in volatile headspace concentrations were correlated (using partial least squares regression) with a range of physicochemical descriptors which were calculated from the compound structure. The model was composed of seven physicochemical descriptors and had a regression coefficient, R2=0.74. An external test set was used to validate the model. The key descriptors in the model were (log P)2, LUMO energy and a connectivity index term. Copyright (C) 2000 Elsevier Science Ltd.
But sometimes, even after several years of basic chemistry education,, 18640-74-9 it is not easy to form a clear picture on how they govern reactivity! Read on for other articles about 18640-74-9!
Reference£º
Thiazole | C3H3448NS – PubChem,
Thiazole | chemical compound | Britannica