Simultaneous multiple substrate tag detection with ESI-ion trap MS for in vivo bacterial enzyme activity profiling

Franco Basile¹, Imma Ferrer, Edward T Furlong

¹fbasile@mines.edu

|August 30, 2002

Summary

This study introduces a rapid bacterial identification method using electrospray ionization-mass spectrometry (ESI-MS) to simultaneously measure multiple enzyme activities. This approach effectively differentiates bacteria based on their unique enzyme profiles.

Area of Science:

Microbiology
Analytical Chemistry
Biochemistry

Background:

Accurate and rapid bacterial identification is crucial in clinical diagnostics and food safety.
Current methods can be time-consuming or require complex sample preparation.
Enzyme activity profiling offers a promising avenue for bacterial differentiation.

Purpose of the Study:

To develop and validate a novel method for simultaneous, in vivo measurement of bacterial enzyme activities.
To enable rapid differentiation of bacterial species using their unique enzyme profiles.
To assess the potential for automation and viability of bacteria post-analysis.

Main Methods:

Whole bacterial cells immobilized on a filter support.
Incubation with substrate mixtures designed to yield unique molecular weight tags for specific enzyme activities.
Direct analysis of reaction supernatant using electrospray ionization-mass spectrometry (ESI-MS) without chromatography.
Testing with Escherichia coli, Bacillus subtilis, Bacillus cereus, and Pseudomonas aeruginosa to measure aminopeptidase activity.

Main Results:

Successful simultaneous measurement of multiple enzyme activities in whole bacteria.
Generation of distinct enzyme profiles for the four tested bacterial species.
Demonstration that ESI-MS analysis of enzyme-generated tags allows bacterial differentiation.
Bacteria remained viable on the filter support after analysis.

Conclusions:

The described method provides a rapid and multiplexed approach for bacterial identification.
Simultaneous enzyme activity profiling via ESI-MS is effective for differentiating bacterial species.
The method is amenable to automation and preserves bacterial viability for further testing.

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Area of Science:

Background:

Purpose of the Study:

Main Methods:

Main Results:

Conclusions:

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