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Stripping interfering sugars from samples using adapted bacteria.

I N Boe1, R E Lovrien, D W Karl

  • 1Biochemistry Department, Gortner Laboratory, University of Minnesota, St. Paul 55108.

Journal of Biochemical and Biophysical Methods
|June 1, 1992
PubMed
Summary
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Adapted bacteria efficiently remove specific sugars from samples, acting as precise reagents for sugar analysis. This simple bacterial stripping method removes interfering sugars down to micromolar concentrations.

Area of Science:

  • Microbiology
  • Biochemistry
  • Analytical Chemistry

Background:

  • Interference from background sugars can complicate the analysis of target sugars.
  • Existing methods for sugar removal may be complex or inefficient.
  • Bacteria possess metabolic pathways for sugar uptake and utilization.

Purpose of the Study:

  • To develop a simple and specific method for removing interfering sugars from analytical samples.
  • To explore the use of adapted bacteria as selective reagents for sugar stripping.
  • To determine the efficiency and conditions for bacterial sugar removal.

Main Methods:

  • Bacteria, such as Escherichia coli and Klebsiella, were adapted to specific sugars by growth.
  • Adapted bacterial cells were used to 'strip' target sugars from complex mixtures.

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  • The process involved mixing cells with the sample, centrifugation, and collection of the supernatant.
  • Main Results:

    • Adapted bacteria effectively removed specific sugars down to micromolar and submicromolar concentrations (bacterial Km values).
    • Bacterial stripping is efficient for samples with high background sugar concentrations (millimolar to larger).
    • The rapid 1-5 minute stripping process prevents sugar metabolism and metabolite leakage.

    Conclusions:

    • Bacterial stripping is a simple, rapid, and specific method for removing interfering sugars.
    • Adapted bacteria serve as effective, reusable reagents for pre-analytical sample cleanup.
    • This technique enhances the accuracy of sought-for sugar analysis in complex matrices.