English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Partition coefficients, K(blood), for volatile organic compounds from air to blood have been collected for 155 compounds (air to human blood) and 127 compounds (air to rat blood). For 86 common compounds, the average error, AE, between the two sets of log K(blood) values is 0.12 log units, somewhat smaller than our estimated interlaboratory average SD value of around 0.16 log units. We conclude that with regard to experimental errors, there is no significant difference between K(blood) values in human blood and in rat blood. There are 196 compounds for which either or both K(blood) (human) and K(blood) (rat) are available. A training set of 98 compounds could be fitted with the Abraham solvation parameters with R(2) = 0.933 and SD = 0.34 log units. The training equation was then used to predict the test set of values with AE = 0.04 log units, SD = 0.33 log units, and an average absolute error, AAE, of 0.25 log units. A second training and test set yielded similar values: AE = 0.01, SD = 0.39, and AAE = 0.29 log units. It is concluded that it is possible to construct an equation capable of predicting further values of log K(blood) to around 0.30 log units. Because the descriptors used in the correlation equations can be predicted from structure, it is now possible to predict log K(blood) for any chemical structure.

Air to Blood Distribution of Volatile Organic Compounds: A Linear Free Energy Analysis