Surface complexation model of rare earth element adsorption onto bacterial surfaces with lanthanide binding tags

Chang, Elliot; Brewer, Aaron W.; Park, Dan M.; Jiao, Yongqin; Lammers, Laura N.

doi:10.1016/j.apgeochem.2019.104478

Surface complexation model of rare earth element adsorption onto bacterial surfaces with lanthanide binding tags

Journal Article · Wed Nov 27 23:00:00 EST 2019 · Applied Geochemistry

DOI:https://doi.org/10.1016/j.apgeochem.2019.104478· OSTI ID:1619150

Chang, Elliot; Brewer, Aaron W.; Park, Dan M.; Jiao, Yongqin;

© 2019 Elsevier Ltd Lanthanide binding tags (LBTs) have been engineered onto the cell surface of E. coli to enhance biosorption and recovery of rare earth elements (REEs). The protonation behavior of the bacterial surfaces before and after LBT-display was compared by modeling acid-base titration data. A multiple discrete site, constant capacitance surface complexation model was constructed to examine rare earth (Tb) binding to cell surface functional groups, comparing wild type and LBT-engineered surfaces. Our acid-base titrations show similar pKa values between the two strains, suggesting induction of LBTs does not significantly alter cell surface protonation behavior. Tb sorption onto the wild type cell surface can be captured by a one-site carboxyl model. The LBT strain exhibited a higher metal loading that can be explained by the increase of sorption sites in the form of lanthanide binding tags. Furthermore, carboxyl site concentrations between wild type and LBT-induced cells were statistically indistinguishable. We thus attribute the engineered strains’ increase in Tb adsorption capacity and affinity to the addition of lanthanide binding tags to the cell surface. The Tb stability constant with the LBT site is two orders of magnitude higher than that with the carboxyl functional group. As a result, at low metal loading <10 μM, the Tb binding to the cell surface of the LBT-strain is controlled by the presence of high-affinity, but lower capacity, LBT sites. At higher metal loadings >10 μM, a more abundant but low affinity functional group becomes the main source of adsorption that results in an overall higher sorption capacity. This work demonstrates how surface complexation modeling can be implemented for bacterial surfaces engineered with a known protein tag to optimize REE recovery from fluids with variable pH and metal loadings.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1619150

Alternate ID(s):: OSTI ID: 1630399
OSTI ID: 1580311

Journal Information:: Applied Geochemistry, Journal Name: Applied Geochemistry Vol. 112; ISSN 0883-2927

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Additional file 2 of Eu(III) and Am(III) adsorption on aluminum (hydr)oxide minerals: surface complexation modeling Satpathy, Anshuman; Hixon, Amy E. figshare https://doi.org/10.6084/m9.figshare.23550394	dataset	January 2023
Additional file 3 of Eu(III) and Am(III) adsorption on aluminum (hydr)oxide minerals: surface complexation modeling Satpathy, Anshuman; Hixon, Amy E. figshare https://doi.org/10.6084/m9.figshare.23550397	dataset	January 2023

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