Literature DB >> 14575748

Modelling of pharmaceutical residues in Australian sewage by quantities of use and fugacity calculations.

Stuart J Khan1, Jerry E Ongerth.   

Abstract

A conceptual model is presented for determining which currently prescribed pharmaceutical compounds are most likely to be found in sewage, and for estimating their concentrations, both in raw sewage and after successive stages of secondary sewage treatment. A ranking of the "top-50" pharmaceutical compounds (by total mass dispensed) in Australia over the 1998 calendar year was prepared. Information on the excretion ratios and some metabolites of the pharmaceuticals enabled prediction of the overall rates of excretion into Australian sewage. Mass-balance and fugacity modelling, applied to sewage generation and to a sewage treatment plant, allowed calculation of predicted concentrations of the compounds in raw, primary and secondary treated sewage effluents. Twenty nine of the modelled pharmaceutical residuals were predicted to be present in raw sewage influent at concentrations of 1 microgl(-1) or greater. Twenty of the compounds were predicted to remain in secondary effluent at concentrations of 1 microgl(-1) or greater.

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Year:  2004        PMID: 14575748     DOI: 10.1016/j.chemosphere.2003.07.001

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  3 in total

1.  Predicted environmental concentration and fate of the top 10 most dispensed Australian prescription pharmaceuticals.

Authors:  Timothy T X Ong; Ewan W Blanch; Oliver A H Jones
Journal:  Environ Sci Pollut Res Int       Date:  2018-02-04       Impact factor: 4.223

2.  Hepatic proteome sensitivity in rainbow trout after chronically exposed to a human pharmaceutical verapamil.

Authors:  Zhi-Hua Li; Ping Li; Miroslav Sulc; Martin Hulak; Tomas Randak
Journal:  Mol Cell Proteomics       Date:  2011-10-12       Impact factor: 5.911

3.  Validation of an Ex Vivo Permeation Method for the Intestinal Permeability of Different BCS Drugs and Its Correlation with Caco-2 In Vitro Experiments.

Authors:  Aroha B Sánchez; Ana C Calpena; Mireia Mallandrich; Beatriz Clares
Journal:  Pharmaceutics       Date:  2019-11-29       Impact factor: 6.321

  3 in total

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