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Cited by 365

The DOI matches its Crossref record; 190 of the 190 references it cites were found in a registry or an index.

High‐Throughput Metabolomics by 1D NMR

Open access
Vignoli, Alessia, Ghini, Veronica, Meoni, Gaia, Licari, Cristina, Takis, Panteleimon G., Tenori, Leonardo, Turano, Paola, Luchinat, Claudio·2019·Angewandte Chemie International Edition

Abstract

Metabolomics deals with the whole ensemble of metabolites (the metabolome). As one of the ‐omic sciences, it relates to biology, physiology, pathology and medicine; but metabolites are chemical entities, small organic molecules or inorganic ions. Therefore, their proper identification and quantitation in complex biological matrices requires a solid chemical ground. With respect to for example, DNA, metabolites are much more prone to oxidation or enzymatic degradation: we can reconstruct large parts of a mammoth's genome from a small specimen, but we are unable to do the same with its metabolome, which was probably largely degraded a few hours after the animal's death. Thus, we need standard operating procedures, good chemical skills in sample preparation for storage and subsequent analysis, accurate analytical procedures, a broad knowledge of chemometrics and advanced statistical tools, and a good knowledge of at least one of the two metabolomic techniques, MS or NMR. All these skills are traditionally cultivated by chemists. Here we focus on metabolomics from the chemical standpoint and restrict ourselves to NMR. From the analytical point of view, NMR has pros and cons but does provide a peculiar holistic perspective that may speak for its future adoption as a population‐wide health screening technique.

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Metadata

Authors
Vignoli, A., Ghini, V., Meoni, G., Licari, C., Takis, P. G., Tenori, L., Turano, P., & Luchinat, C.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2018-11-11
Volume
58
Issue
4
Pages
968-994
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2901390451
Cited by
365
References
190
FWCI
9.73
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: High‐Throughput Metabolomics by 1D NMR. https://app.cochat.ai/papers/10.1002/anie.201804736
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Vignoli, A., Ghini, V., Meoni, G., Licari, C., Takis, P. G., Tenori, L., Turano, P., & Luchinat, C. (2019). High‐Throughput Metabolomics by 1D NMR. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201804736

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