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Analysis of Poly-β-Hydroxybutyrate in Rhizobium japonicum Bacteroids by Ion-Exclusion High-Pressure Liquid Chromatography and UV Detection
Open accessAbstract
Ion-exclusion high-pressure liquid chromatography (HPLC) was used to measure poly-β-hydroxybutyrate (PHB) in Rhizobium japonicum bacteroids. The products in the acid digest of PHB-containing material were fractionated by HPLC on Aminex HPX-87H ion-exclusion resin for organic acid analysis. Crotonic acid formed from PHB during acid digestion was detected by its intense absorbance at 210 nm. The Aminex-HPLC method provides a rapid and simple chromatographic technique for routine analysis of organic acids. Results of PHB analysis by Aminex-HPLC were confirmed by gas chromatography and spectrophotometric analysis.
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Cited by
Brandl, H., Gross, R. A., Lenz, R. W., & Fuller, R. C. (2005) · Advances in Biochemical Engineering/Biotechnology · doi:10.1007/bfb0010232 · Cited by 272
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Metadata
- Authors
- Karr, D. B., Waters, J. K., & Emerich, D. W.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 1983-12
- Volume
- 46
- Issue
- 6
- Pages
- 1339-1344
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W1971632242
- Cited by
- 305
- References
- 0
- FWCI
- 1.10
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Analysis of Poly-β-Hydroxybutyrate in Rhizobium japonicum Bacteroids by Ion-Exclusion High-Pressure Liquid Chromatography and UV Detection. https://app.cochat.ai/papers/10.1128/aem.46.6.1339-1344.1983
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- Karr, D. B., Waters, J. K., & Emerich, D. W. (1983). Analysis of Poly-β-Hydroxybutyrate in Rhizobium japonicum Bacteroids by Ion-Exclusion High-Pressure Liquid Chromatography and UV Detection. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.46.6.1339-1344.1983
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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.
