The DOI matches its Crossref record.
Sampling for Metabolome Analysis of Microorganisms
Abstract
In the present work we investigated the most commonly applied methods used for sampling of microorganisms in the field of metabolomics in order to unravel potential sources of error previously ignored but of utmost importance for accurate metabolome analysis. To broaden the significance of our study, we investigated different Gram-negative and Gram-positive bacteria, i.e., Bacillus subtilis, Corynebacterium glutamicum, Escherichia coli, Gluconobacter oxydans, Pseudomonas putida, and Zymononas mobilis, and analyzed metabolites from different catabolic and anabolic intracellular pathways. Quenching of cells with cold methanol prior to cell separation and extraction led to drastic loss (>60%) of all metabolites tested due to unspecific leakage. Using fast filtration, Gram-negative bacteria also revealed a significant loss (>80%) when inappropriate washing solutions with low ionic strength were applied. Adapting the ionic strength of the washing solution to that of the cultivation medium could almost completely avoid this problem. Gram-positive strains did not show significant leakage independent of the washing solution. Fast filtration with sampling times of several seconds prior to extraction appears to be a suitable approach for metabolites with relatively high intracellular level and low turnover such as amino acids or TCA cycle intermediates. Comparison of metabolite levels in the culture supernatant and the cell interior revealed that the common assumption of whole broth quenching protocols attributing the metabolites found exclusively to the intracellular pools may not be valid in many cases. In such cases a differential approach correcting for medium-contained metabolites is required.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Vuckovic, D. (2012) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-012-6039-y · Cited by 532
Acidic Acetonitrile for Cellular Metabolome Extraction from Escherichia coli
Rabinowitz, J. D., & Kimball, E. (2007) · Analytical Chemistry · doi:10.1021/ac070470c · Cited by 342
Industrial biotechnology of Pseudomonas putida and related species
Poblete-Castro, I., Becker, J., Dohnt, K., dos Santos, V. M., & Wittmann, C. (2012) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-012-3928-0 · Cited by 323
Self-citationBecker, J., & Wittmann, C. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201409033 · Cited by 297
Self-citationExtensive exometabolome analysis reveals extended overflow metabolism in various microorganisms
Paczia, N., Nilgen, A., Lehmann, T., Gätgens, J., Wiechert, W., & Noack, S. (2012) · Microbial Cell Factories · doi:10.1186/1475-2859-11-122 · Cited by 295
Metadata
- Authors
- Bolten, C. J., Kiefer, P., Letisse, F., Portais, J.-C., & Wittmann, C.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-04-06
- Volume
- 79
- Issue
- 10
- Pages
- 3843-3849
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2086934275
- Cited by
- 376
- References
- 0
- FWCI
- 10.42
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Sampling for Metabolome Analysis of Microorganisms. https://app.cochat.ai/papers/10.1021/ac0623888
- The paper
- Bolten, C. J., Kiefer, P., Letisse, F., Portais, J.-C., & Wittmann, C. (2007). Sampling for Metabolome Analysis of Microorganisms. Analytical Chemistry. https://doi.org/10.1021/ac0623888
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.