Hydrolysis of 4-methylumbelliferyl-β-D-glucuronide in differing sample fractions of river waters and its implication for the detection of fecal pollution

A. H. Farnleitner*, L. Hocke, C. Beiwl, G. G. Kavka, R. L. Mach

*Corresponding author for this work

Research output: Journal article (peer-reviewed)Journal article

35 Citations (Scopus)

Abstract

The hydrolysis rate of 4-methylumbelliferyl-β-D-glucuronide (MUG-HR) was determined in unamended samples, filtered samples, and in corresponding buffer resuspended filter residues of various river waters of slight to excessive fecal pollution covering a four orders of magnitude range. Regression analysis of the log MUG-HR of the unamended water samples versus the log MUG-HR of the filter residues revealed a highly significant linear relationship (R2=0.94; p<0.001). The median of the MUG-HR of the filtrated water samples was about 10% the MUG-HR of the corresponding unamended water samples. If MUG-HR determinations were used as a surrogate for estimating fecal coliform contamination, both the MUG-HR of the unamended water samples and the MUG-HR of the filter residues would have been equally adequate techniques at river sites of higher fecal pollution levels. However, at river locations of decreased fecal pollution, MUG-HR determination of filter residues appeared to be the more sensitive technique in order to estimate fecal coliform concentrations.

Original languageEnglish
Pages (from-to)975-981
Number of pages7
JournalWater Research
Volume36
Issue number4
DOIs
Publication statusPublished - 2002
Externally publishedYes

Keywords

  • 4-methylumbelliferyl-β-D-glucuronide hydrolysis
  • Fecal pollution
  • Monitoring
  • Rivers
  • Environmental Monitoring/methods
  • Reproducibility of Results
  • Hymecromone/analogs & derivatives
  • Hydrolysis
  • Specimen Handling
  • Water Pollutants/analysis
  • Fluorescent Dyes/analysis
  • Feces/microbiology
  • Sensitivity and Specificity
  • Enterobacteriaceae

ASJC Scopus subject areas

  • Water Science and Technology
  • Ecological Modeling
  • Pollution
  • Waste Management and Disposal
  • Environmental Engineering
  • Civil and Structural Engineering

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