The DOI matches its Crossref record.
Facile Quantification of Enantiomeric Excess and Concentration with Indicator-Displacement Assays: An Example in the Analyses of α-Hydroxyacids
Abstract
An enantioselective indicator-displacement assay was developed to determine enantiomeric excess (ee) and concentration of alpha-hydroxyacid samples with two independent absorption measurements. The inherent relationship between the absorbance of the indicator-displacement ensemble and the overall concentration and ee of the analyte was established through solution equilibria.
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Citations
Cited by
Nguyen, B. T., & Anslyn, E. V. (2006) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2006.04.009 · Cited by 668
Self-citationGlucose Sensing in Supramolecular Chemistry
Sun, X., & James, T. D. (2015) · Chemical Reviews · doi:10.1021/cr500562m · Cited by 386
Signal Amplification by Allosteric Catalysis
Zhu, L., & Anslyn, E. V. (2006) · Angewandte Chemie International Edition · doi:10.1002/anie.200501476 · Cited by 151
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Metadata
- Authors
- Zhu, L., & Anslyn, E. V.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2004-03-01
- Volume
- 126
- Issue
- 12
- Pages
- 3676-3677
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2021666323
- Cited by
- 216
- References
- 0
- FWCI
- 5.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Facile Quantification of Enantiomeric Excess and Concentration with Indicator-Displacement Assays: An Example in the Analyses of α-Hydroxyacids. https://app.cochat.ai/papers/10.1021/ja031839s
- The paper
- Zhu, L., & Anslyn, E. V. (2004). Facile Quantification of Enantiomeric Excess and Concentration with Indicator-Displacement Assays: An Example in the Analyses of α-Hydroxyacids. Journal of the American Chemical Society. https://doi.org/10.1021/ja031839s
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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.
