Surface Complexation Modeling of Terbium Biosorption onto E. Coli Bacterial Surfaces with Lanthanide Binding Tags
Lanthanide binding tags (LBTs) have been engineered onto native Escherichia coli (E. coli) bacterial surfaces to enhance extraction and recovery of rare earth elements (REEs). Three strains of E. coli were studied: (1) the native E. coli surface, (2) a mutant E. coli surface with hindered, non-binding lanthanide binding tags, and (3) an LBT E. coli surface with fully functioning lanthanide binding tags. A three discrete site, constant capacitance surface complexation modeling approach was taken in studying these strains with an ultimate goal of comparing site type affinities to the model rare earth, Terbium. Our results show a possible increase in native carboxyl functional groups when the LBTs are overexpressed on the cell surface. LBTs are confirmed to have a higher stability constant with Terbium than that of the native functional groups. Incorporation of LBTs into the E. coli cell wall poses two major benefits: (1) the presence of a high-affinity, low-capacity LBT site for selective Terbium binding at low metal loading regions, and (2) a lower-affinity carboxyl site that increases the sorption capacity of the native bacterial surface during sorption at higher metal loading regions.
Citation Formats
TY - DATA
AB - Lanthanide binding tags (LBTs) have been engineered onto native Escherichia coli (E. coli) bacterial surfaces to enhance extraction and recovery of rare earth elements (REEs). Three strains of E. coli were studied: (1) the native E. coli surface, (2) a mutant E. coli surface with hindered, non-binding lanthanide binding tags, and (3) an LBT E. coli surface with fully functioning lanthanide binding tags. A three discrete site, constant capacitance surface complexation modeling approach was taken in studying these strains with an ultimate goal of comparing site type affinities to the model rare earth, Terbium. Our results show a possible increase in native carboxyl functional groups when the LBTs are overexpressed on the cell surface. LBTs are confirmed to have a higher stability constant with Terbium than that of the native functional groups. Incorporation of LBTs into the E. coli cell wall poses two major benefits: (1) the presence of a high-affinity, low-capacity LBT site for selective Terbium binding at low metal loading regions, and (2) a lower-affinity carboxyl site that increases the sorption capacity of the native bacterial surface during sorption at higher metal loading regions.
AU - Jiao, Yongqin
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - geothermal
KW - energy
KW - modeling
KW - terbium
KW - biosorption
KW - E. coli
KW - bacteria
KW - bacterial
KW - surface
KW - lanthanide binding
KW - tag
KW - LBT
KW - REE
KW - rare earth
KW - brine
KW - fluid
KW - geofluid
KW - geochemical
KW - geochemistry
KW - bioadsorption
KW - bioengineering
LA - English
DA - 2018/04/01
PY - 2018
PB - Lawrence Livermore National Laboratory
T1 - Surface Complexation Modeling of Terbium Biosorption onto E. Coli Bacterial Surfaces with Lanthanide Binding Tags
UR - https://data.openei.org/submissions/7231
ER -
Jiao, Yongqin. Surface Complexation Modeling of Terbium Biosorption onto E. Coli Bacterial Surfaces with Lanthanide Binding Tags. Lawrence Livermore National Laboratory, 1 April, 2018, GDR. https://gdr.openei.org/submissions/1080.
Jiao, Y. (2018). Surface Complexation Modeling of Terbium Biosorption onto E. Coli Bacterial Surfaces with Lanthanide Binding Tags. [Data set]. GDR. Lawrence Livermore National Laboratory. https://gdr.openei.org/submissions/1080
Jiao, Yongqin. Surface Complexation Modeling of Terbium Biosorption onto E. Coli Bacterial Surfaces with Lanthanide Binding Tags. Lawrence Livermore National Laboratory, April, 1, 2018. Distributed by GDR. https://gdr.openei.org/submissions/1080
@misc{OEDI_Dataset_7231,
title = {Surface Complexation Modeling of Terbium Biosorption onto E. Coli Bacterial Surfaces with Lanthanide Binding Tags},
author = {Jiao, Yongqin},
abstractNote = {Lanthanide binding tags (LBTs) have been engineered onto native Escherichia coli (E. coli) bacterial surfaces to enhance extraction and recovery of rare earth elements (REEs). Three strains of E. coli were studied: (1) the native E. coli surface, (2) a mutant E. coli surface with hindered, non-binding lanthanide binding tags, and (3) an LBT E. coli surface with fully functioning lanthanide binding tags. A three discrete site, constant capacitance surface complexation modeling approach was taken in studying these strains with an ultimate goal of comparing site type affinities to the model rare earth, Terbium. Our results show a possible increase in native carboxyl functional groups when the LBTs are overexpressed on the cell surface. LBTs are confirmed to have a higher stability constant with Terbium than that of the native functional groups. Incorporation of LBTs into the E. coli cell wall poses two major benefits: (1) the presence of a high-affinity, low-capacity LBT site for selective Terbium binding at low metal loading regions, and (2) a lower-affinity carboxyl site that increases the sorption capacity of the native bacterial surface during sorption at higher metal loading regions.
},
url = {https://gdr.openei.org/submissions/1080},
year = {2018},
howpublished = {GDR, Lawrence Livermore National Laboratory, https://gdr.openei.org/submissions/1080},
note = {Accessed: 2025-05-04}
}
Details
Data from Apr 1, 2018
Last updated Aug 9, 2018
Submitted Jul 30, 2018
Organization
Lawrence Livermore National Laboratory
Contact
Yongqin Jiao
925.422.4482
Authors
Original Source
https://gdr.openei.org/submissions/1080Research Areas
Keywords
geothermal, energy, modeling, terbium, biosorption, E. coli, bacteria, bacterial, surface, lanthanide binding, tag, LBT, REE, rare earth, brine, fluid, geofluid, geochemical, geochemistry, bioadsorption, bioengineeringDOE Project Details
Project Name Extraction of Rare Earth Metals from Geothermal Fluids using Bioengineered Microbes
Project Lead Josh Mengers
Project Number LLNL FY17 AOP 25112