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Christopher J. Daughney

Researcher at GNS Science

Publications -  67
Citations -  3209

Christopher J. Daughney is an academic researcher from GNS Science. The author has contributed to research in topics: Groundwater & Adsorption. The author has an hindex of 26, co-authored 63 publications receiving 3001 citations. Previous affiliations of Christopher J. Daughney include National Institute of Water and Atmospheric Research & University of Notre Dame.

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A chemical equilibrium model for metal adsorption onto bacterial surfaces

TL;DR: In this paper, the authors quantified metal adsorption onto cell wall surfaces of Bacillus subtilis by applying equilibrium thermodynamics to the specific chemical reactions that occur at the water-bacteria interface.
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Experimental study of the pH, ionic strength, and reversibility behavior of bacteria–mineral adsorption

TL;DR: In this article, the authors investigated the adsorption of Bacillus subtilis onto the surfaces of two minerals, corundum and quartz, as a function of time, pH, ionic strength, and bacteria:mineral mass ratio.
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The Effect of Ionic Strength on the Adsorption of H+, Cd2+, Pb2+, and Cu2+byBacillus subtilisandBacillus licheniformis:A Surface Complexation Model

TL;DR: The authors solve for stability constants describing metal adsorption onto distinct functional groups on the bacterial cell walls and find that these stability constants vary substantially but systematically between the two bacterial species at the two different ionic strengths.
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A comparison of the thermodynamics of metal adsorption onto two common bacteria

TL;DR: Fein et al. as discussed by the authors used acid-base titrations to determine the concentrations and deprotonation constants of specific surface functional groups on Bacillus licheniformis, and compared these variations in surface properties to variations in metal affinity in order to predict metal mobilities in complex, natural systems.
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The effect of growth phase on proton and metal adsorption by Bacillus subtilis

TL;DR: Variations in surface complexation model parameters indicate that any attempt to predict proton or metal adsorption by bacteria must consider the growth phase of the population.