Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 203

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Towards a Detailed Understanding of Bacterial Metabolism—Spectroscopic Characterization of Staphylococcus Epidermidis

Neugebauer, Ute, Schmid, Ulrike, Baumann, Knut, Ziebuhr, Wilma, Kozitskaya, Svetlana, Deckert, Volker, Schmitt, Michael, Popp, Jürgen·2007·ChemPhysChem

Abstract

Bacteria are a major cause of infection. To fight disease and growing resistance, research interest is focused on understanding bacterial metabolism. For a detailed evaluation of the involved mechanisms, a precise knowledge of the molecular composition of the bacteria is required. In this article, various vibrational spectroscopic techniques are applied to comprehensively characterize, on a molecular level, bacteria of the strain Staphylococcus epidermidis, an opportunistic pathogen which has evolved to become a major cause of nosocomial infections. IR absorption spectroscopy reflects the overall chemical composition of the cells, with major focus on the protein vibrations. Smaller sample volumes—down to a single cell—are sufficient to probe the overall chemical composition by means of micro‐Raman spectroscopy. The nucleic‐acid and aromatic amino‐acid moieties are almost exclusively explored by UV resonance Raman spectroscopy. In combination with statistical evaluation methods [hierarchical cluster analysis (HCA), principal component analysis (PCA), linear discriminant analysis (LDA)], the protein and nucleic‐acid components that change during the different bacterial growth phases can be identified from the in vivo vibrational spectra. Furthermore, tip‐enhanced Raman spectroscopy (TERS) provides insight into the surface structures and follows the dynamics of the polysaccharide and peptide components on the bacterial cells with a spatial resolution below the diffraction limit. This might open new ways for the elucidation of host–bacteria and drug–bacteria interactions.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/cphc.200600507

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 3 references

Cited by

See all 203

Metadata

Authors
Neugebauer, U., Schmid, U., Baumann, K., Ziebuhr, W., Kozitskaya, S., Deckert, V., Schmitt, M., & Popp, J.
Venue
ChemPhysChem
Publisher
Wiley
Published
2006-12-27
Volume
8
Issue
1
Pages
124-137
ISSN
  • 1439-4235 (ISSN-L)
  • 1439-7641
OpenAlex
W2124798492
Cited by
203
References
3
FWCI
6.60
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: Towards a Detailed Understanding of Bacterial Metabolism—Spectroscopic Characterization of Staphylococcus Epidermidis. https://app.cochat.ai/papers/10.1002/cphc.200600507
The paper
Neugebauer, U., Schmid, U., Baumann, K., Ziebuhr, W., Kozitskaya, S., Deckert, V., Schmitt, M., & Popp, J. (2007). Towards a Detailed Understanding of Bacterial Metabolism—Spectroscopic Characterization of Staphylococcus Epidermidis. ChemPhysChem. https://doi.org/10.1002/cphc.200600507

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.