A new model for the spectral induced polarization signature of bacterial growth in porous media

Revil, A.; Atekwana, Estella A.; Zhang, Chi; Jardani, Abderrahim; Smith, Schaun M.

doi:10.1029/2012wr011965

Cited by 63 publications

(76 citation statements)

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“…The low-frequency polarization of bacteria in porous media has been recently modeled by Revil et al (2012a) with a special emphasis on Gram-positive bacteria. Revil et al (2012a) use a polarization model of the double layer surrounding the bacterial cells. They upscaled their results to a representative elementary volume of a porous material with a composite model taking into account the presence of the bacteria and the grains.…”

Section: Introductionmentioning

confidence: 99%

“…The in-phase component of the complex conductivity describes the electromigration of the charge carriers in the material, whereas its quadrature component describes the polarization. The induced polarization method has been qualitatively shown to be sensitive to the presence of bacteria in porous media (Abdel Aal et al, 2004Ntarlagiannis et al, 2005a;Davis et al, 2006;Albrecht et al, 2011;Revil et al, 2012a;Zhang et al, 2012). The low-frequency polarization of bacteria in porous media has been recently modeled by Revil et al (2012a) with a special emphasis on Gram-positive bacteria.…”

Section: Introductionmentioning

confidence: 99%

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Quadrature conductivity: A quantitative indicator of bacterial abundance in porous media

et al. 2014

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The abundance and growth stages of bacteria in subsurface porous media affect the concentrations and distributions of charged species within the solid-solution interfaces. Therefore, spectral induced polarization (SIP) measurements can be used to monitor changes in bacterial biomass and growth stage. Our goal was to gain a better understanding of the SIP response of bacteria present in a porous material. Bacterial cell surfaces possess an electric double layer and therefore become polarized in an electric field. We performed SIP measurements over the frequency range of 0.1-1 kHz on cell suspensions alone and cell suspensions mixed with sand at four pore water conductivities. We used Zymomonas mobilis at four different cell densities (including the background). The quadrature conductivity spectra exhibited two peaks, one around 0.05-0.10 Hz and the other around 1-10 Hz. Because SIP measurements on bacterial suspensions are typically made at frequencies greater than 1 Hz, these peaks have not been previously reported. In the bacterial suspensions in growth medium, the quadrature conductivity at peak I was linearly proportional to the density of the bacteria. For the case of the suspensions mixed with sands, we observed that peak II presented a smaller increase in the quadrature conductivity with the cell density. A comparison of the experiments with and without sand grains illustrated the effect of the porous medium on the overall quadrature conductivity response (decrease in the amplitude and shift of the peaks to the lower frequencies). Our results indicate that for a given porous medium, time-lapse SIP has potential for monitoring changes in bacterial abundance within porous media.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quadrature conductivity: A quantitative indicator of bacterial abundance in porous media

et al. 2014

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“…As in Weller et al (2006) and Revil et al (2012b), a considerable variation in the spectra of conductivity amplitude and phase shift can be observed in laboratory investigations of peat, wood and soil samples. Weller et al (2006) concluded that characteristic features of phase spectra can be used to detect wooden relics of trackways or pile dwelling from laboratory investigations.…”

Section: Discussionmentioning

confidence: 96%

“…Weller et al (2006) concluded that characteristic features of phase spectra can be used to detect wooden relics of trackways or pile dwelling from laboratory investigations. Revil et al (2012b) developed a quantitative model to investigate the frequency domain induced polarization response of suspensions of bacteria and bacteria growth in porous media. They showed that the induced polarization of bacteria (α polarization) is related to the properties of the electrical double layer of the bacteria.…”

Section: Discussionmentioning

confidence: 99%

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Spectral induced polarization measurements for predicting the hydraulic conductivity in sandy aquifers

Attwa

Günther

2013

Hydrol. Earth Syst. Sci.

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Abstract. Field and laboratory spectral induced polarization (SIP) measurements are integrated to characterize the hydrogeological conditions at the Schillerslage test site in Germany. The phase images are capable of monitoring thin peat layers within the sandy aquifers. However, the field results show limitations of decreasing resolution with depth. In comparison with the field inversion results, the SIP laboratory measurements show a certain shift in SIP response due to different compaction and sorting of the samples. The SIP data are analyzed to derive an empirical relationship for predicting the hydraulic conductivity (K). In particular, two significant but weak correlations between individual real resistivities (ρ ) and relaxation times (τ ), based on a Debye decomposition (DD) model, with measured K are found for the upper groundwater aquifer. The maximum relaxation time (τ max ) and logarithmically weighted average relaxation time (τ lw ) show a better relation with K values than the median value τ 50 . A combined power law relation between individual ρ and τ with K is developed with an expression of A · (ρ ) B · (τ lw ) C , where A, B and C are determined using a least-squares fit between the measured and predicted K. The suggested approach with the calculated coefficients of the first aquifer is applied for the second. Results show good correlation with the measured K indicating that the derived relationship is superior to single phase angle models as Börner or Slater models.

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Geophysical signatures of disseminated iron minerals: A proxy for understanding subsurface biophysicochemical processes

Aal

Atekwana

Revil

2014

J. Geophys. Res. Biogeosci.

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Previous studies have linked biogeophysical signatures to the presence of iron minerals resulting from distinct biophysicochemical processes. Utilizing geophysical methods as a proxy of such biophysicochemical processes requires an understanding of the geophysical signature of the different iron minerals. Laboratory experiments were conducted to investigate the complex conductivity and magnetic susceptibility signatures of five iron minerals disseminated in saturated porous media under variable iron mineral content and grain size. Both pyrite and magnetite show high quadrature and inphase conductivities compared to hematite, goethite, and siderite, whereas magnetite was the highly magnetic mineral dominating the magnetic susceptibility measurements. The quadrature conductivity spectra of both pyrite and magnetite exhibit a well-defined characteristic relaxation peak below 10 kHz, not observed with the other iron minerals. The quadrature conductivity and magnetic susceptibility of individual and a mixture of iron minerals are dominated and linearly proportional to the mass fraction of the highly conductive (pyrite and magnetite) and magnetic (magnetite) iron minerals, respectively. The quadrature conductivity magnitude increased with decreasing grain size diameter of magnetite and pyrite with a progressive shift of the characteristic relaxation peak toward higher frequencies. The quadrature conductivity response of a mixture of different grain sizes of iron minerals is shown to be additive, whereas magnetic susceptibility measurements were insensitive to the variation in grain size diameters (1-0.075 mm). The integration of complex conductivity and magnetic susceptibility measurements can therefore provide a complimentary tool for the successful investigation of in situ biophysicochemical processes resulting in biotransformation or secondary iron mineral precipitation.

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A new model for the spectral induced polarization signature of bacterial growth in porous media

Cited by 63 publications

References 64 publications

Quadrature conductivity: A quantitative indicator of bacterial abundance in porous media

Quadrature conductivity: A quantitative indicator of bacterial abundance in porous media

Spectral induced polarization measurements for predicting the hydraulic conductivity in sandy aquifers

Geophysical signatures of disseminated iron minerals: A proxy for understanding subsurface biophysicochemical processes

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