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diff --git a/vignettes/references.bib b/vignettes/references.bib index 44c66f13..a18922c9 100644 --- a/vignettes/references.bib +++ b/vignettes/references.bib @@ -51,9 +51,9 @@ } @MANUAL{pkg:mkin, - title = {`mkin`: {K}inetic evaluation of chemical degradation data}, + title = {`{mkin}`: {K}inetic evaluation of chemical degradation data}, author = {J. Ranke}, - year = {2016}, + year = {2019}, url = {https://CRAN.R-project.org/package=mkin} } @@ -102,3 +102,31 @@ institution = {Umweltbundesamt}, volume = {Projektnummer 27452} } + +@Article{ranke2018, + author="Ranke, Johannes + and W{\"o}ltjen, Janina + and Meinecke, Stefan", + title="Comparison of software tools for kinetic evaluation of chemical degradation data", + journal="Environmental Sciences Europe", + year="2018", + month="May", + day="18", + volume="30", + number="1", + pages="17", + abstract="For evaluating the fate of xenobiotics in the environment, a variety of degradation or environmental metabolism experiments are routinely conducted. The data generated in such experiments are evaluated by optimizing the parameters of kinetic models in a way that the model simulation fits the data. No comparison of the main software tools currently in use has been published to date. This article shows a comparison of numerical results as well as an overall, somewhat subjective comparison based on a scoring system using a set of criteria. The scoring was separately performed for two types of uses. Uses of type I are routine evaluations involving standard kinetic models and up to three metabolites in a single compartment. Evaluations involving non-standard model components, more than three metabolites or more than a single compartment belong to use type II. For use type I, usability is most important, while the flexibility of the model definition is most important for use type II.", + issn="2190-4715", + doi="10.1186/s12302-018-0145-1", + url="https://doi.org/10.1186/s12302-018-0145-1" +} + +@Article{gao11, + Title = {Improving uncertainty analysis in kinetic evaluations using iteratively reweighted least squares}, + Author = {Gao, Z. and Green, J.W. and Vanderborght, J. and Schmitt, W.}, + Journal = {Environmental Science and Technology}, + Year = {2011}, + Pages = {4429-4437}, + Volume = {45}, + Type = {Journal} +} |