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Microbial Cells as Biosorbents for Heavy Metals: Accumulation of Uranium by Saccharomyces cerevisiae and Pseudomonas aeruginosa

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Strandberg, Gerald W., Shumate, Starling E., Parrott, John R.·1981·Applied and Environmental Microbiology

Abstract

Uranium accumulated extracellularly on the surfaces of Saccharomyces cerevisiae cells. The rate and extent of accumulation were subject to environmental parameters, such as pH, temperature, and interference by certain anions and cations. Uranium accumulation by Pseudomonas aeruginosa occurred intracellularly and was extremely rapid (<10 s), and no response to environmental parameters could be detected. Metabolism was not required for metal uptake by either organism. Cell-bound uranium reached a concentration of 10 to 15% of the dry cell weight, but only 32% of the S. cerevisiae cells and 44% of the P. aeruginosa cells within a given population possessed visible uranium deposits when examined by electron microscopy. Rates of uranium uptake by S. cerevisiae were increased by chemical pretreatment of the cells. Uranium could be removed chemically from S. cerevisiae cells, and the cells could then be reused as a biosorbent.

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Crossref · 10.1128/aem.41.1.237-245.1981

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Metadata

Authors
Strandberg, G. W., Shumate, S. E., & Parrott, J. R.
Venue
Applied and Environmental Microbiology
Published
1981-01
Volume
41
Issue
1
Pages
237-245
ISSN
  • 0099-2240 (ISSN-L)
  • 1098-5336
OpenAlex
W1490983938
Cited by
438
References
0
FWCI
7.15
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Microbial Cells as Biosorbents for Heavy Metals: Accumulation of Uranium by Saccharomyces cerevisiae and Pseudomonas aeruginosa. https://app.cochat.ai/papers/10.1128/aem.41.1.237-245.1981
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Strandberg, G. W., Shumate, S. E., & Parrott, J. R. (1981). Microbial Cells as Biosorbents for Heavy Metals: Accumulation of Uranium by Saccharomyces cerevisiae and Pseudomonas aeruginosa. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.41.1.237-245.1981

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.