The DOI matches its Crossref record.
13C6-[Benzene Ring]-Indole-3-Acetic Acid: A New Internal Standard for Quantitative Mass Spectral Analysis of Indole-3-Acetic Acid in Plants
Open accessAbstract
Indole-3-acetic acid (IAA) labeled with (13)C in the six carbons of the benzene ring is described for use as an internal standard for quantitative mass spectral analysis of IAA by gas chromatography/selected ion monitoring. [(13)C(6)]IAA was compared to the available deuterium labeled compounds and shown to offer the advantages of nonexchangeability of the isotope label, high isotopic enrichment, and chromatographic properties identical to that of the unlabeled compound. The utility of [(13)C(6)]IAA for measurement of endogenous IAA levels was demonstrated by analysis of IAA in Lemna gibba G-3.
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Citations
Cited by
Gocal, G. F. W., Pharis, R. P., Yeung, E. C., & Pearce, D. (1991) · Plant Physiology · doi:10.1104/pp.95.2.344 · Cited by 120
Metadata
- Authors
- Cohen, J. D., Baldi, B. G., & Slovin, J. P.
- Venue
- Plant Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1986-01-01
- Volume
- 80
- Issue
- 1
- Pages
- 14-19
- ISSN
- 0032-0889 (ISSN-L)
- 1532-2548
- OpenAlex
- W2010043131
- Cited by
- 245
- References
- 0
- FWCI
- 6.93
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: 13C6-[Benzene Ring]-Indole-3-Acetic Acid: A New Internal Standard for Quantitative Mass Spectral Analysis of Indole-3-Acetic Acid in Plants. https://app.cochat.ai/papers/10.1104/pp.80.1.14
- The paper
- Cohen, J. D., Baldi, B. G., & Slovin, J. P. (1986). 13C6-[Benzene Ring]-Indole-3-Acetic Acid: A New Internal Standard for Quantitative Mass Spectral Analysis of Indole-3-Acetic Acid in Plants. Plant Physiology. https://doi.org/10.1104/pp.80.1.14
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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.
