The DOI matches its Crossref record.
A rapid screening approach to metabonomics using UPLC and oa-TOF mass spectrometry: application to age, gender and diurnal variation in normal/Zucker obese rats and black, white and nude mice
Abstract
The use of Ultra Performance Liquid Chromatography (UPLC), with a rapid 1.5 minute reversed-phase gradient separation on a 1.7 microm reversed-phase packing material to provide rapid "high throughput" support for metabonomic screening is demonstrated. The peak capacity and the number of marker ions detected using these fast UPLC separations and oa-TOF MS was found to be similar to that generated by conventional HPLC-MS methods with a 10 minute separation. The UPLC-MS methodology was applied to the analysis of urine samples from rodents, including normal and Zucker obese rats and three strains of mice (of both sexes), and was found to provide rapid discrimination between age, strain, gender and diurnal variation.
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
Plumb, R. S., Johnson, K. A., Rainville, P., Smith, B. W., Wilson, I. D., Castro‐Perez, J. M., & Nicholson, J. K. (2006) · Rapid Communications in Mass Spectrometry · doi:10.1002/rcm.2550 · Cited by 485
Self-citationMetabolic Fingerprinting As A Diagnostic Tool
Ellis, D. I., Dunn, W. B., Griffin, J. L., Allwood, J. W., & Goodacre, R. (2007) · Pharmacogenomics · doi:10.2217/14622416.8.9.1243 · Cited by 396
LC-MS-based methodology for global metabolite profiling in metabonomics/metabolomics
Theodoridis, G., Gika, H. G., & Wilson, I. D. (2008) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2008.01.008 · Cited by 371
Self-citationCrockford, D. J., Holmes, E., Lindon, J. C., Plumb, R. S., Zirah, S., Bruce, S. J., Rainville, P., Stumpf, C. L., & Nicholson, J. K. (2006) · Analytical Chemistry · doi:10.1021/ac051444m · Cited by 342
Self-citationFast analysis in liquid chromatography using small particle size and high pressure
Nguyen, D. T. ‐., Guillarme, D., Rudaz, S., & Veuthey, J. (2006) · Journal of Separation Science · doi:10.1002/jssc.200600189 · Cited by 337
Metadata
- Authors
- Plumb, R. S., Granger, J. H., Stumpf, C. L., Johnson, K. A., Smith, B. W., Gaulitz, S., Wilson, I. D., & Castro-Perez, J.
- Venue
- The Analyst
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2005
- Volume
- 130
- Issue
- 6
- Pages
- 844
- ISSN
- 0003-2654 (ISSN-L)
- 1364-5528
- OpenAlex
- W1963950524
- Cited by
- 218
- References
- 0
- FWCI
- 9.80
- 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: A rapid screening approach to metabonomics using UPLC and oa-TOF mass spectrometry: application to age, gender and diurnal variation in normal/Zucker obese rats and black, white and nude mice. https://app.cochat.ai/papers/10.1039/b501767j
- The paper
- Plumb, R. S., Granger, J. H., Stumpf, C. L., Johnson, K. A., Smith, B. W., Gaulitz, S., Wilson, I. D., & Castro-Perez, J. (2005). A rapid screening approach to metabonomics using UPLC and oa-TOF mass spectrometry: application to age, gender and diurnal variation in normal/Zucker obese rats and black, white and nude mice. The Analyst. https://doi.org/10.1039/b501767j
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.
