Fourier-transform infrared spectroscopic study of the interactions of selenium species with living bacterial cells

Feo, J. C.; Castro, M.A.; Robles, L. C.; Aller, A. J.

doi:10.1007/s00216-004-2494-4

Cited by 10 publications

(3 citation statements)

References 38 publications

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“…Since the bacterial cell is comprised of a complex mixture of components, the resulting spectra show a number of composite bands. The main bands observed are generally very similar for all bacteria investigated, and assignments to functional groups have been made. − Furthermore, several studies have successfully employed the differences between IR spectra of different bacteria to discriminate between bacterial strains by statistical methods. ,− …”

Section: Introductionmentioning

confidence: 99%

“…The main bands observed are generally very similar for all bacteria investigated, and assignments to functional groups have been made. [18][19][20][21][22][23] Furthermore, several studies have successfully employed the differences between IR spectra of different bacteria to discriminate between bacterial strains by statistical methods. 19,[24][25][26] The attenuated total reflection infrared (ATR-IR) spectroscopy technique allows bacterial cells to be monitored in situ in an aqueous environment.…”

Section: Introductionmentioning

confidence: 99%

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Acid−Base Titrations of Functional Groups on the Surface of the Thermophilic Bacterium Anoxybacillus flavithermus: Comparing a Chemical Equilibrium Model with ATR-IR Spectroscopic Data

et al. 2007

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Acid-base functional groups at the surface of Anoxybacillus flavithermus (AF) were assigned from the modeling of batch titration data of bacterial suspensions and compared with those determined from in situ infrared spectroscopic titration analysis. The computer program FITMOD was used to generate a two-site Donnan model (site 1: pKa = 3.26, wet concn = 2.46 x 10(-4) mol g(-1); site 2: pKa = 6.12, wet concn = 6.55 x 10(-5) mol g(-1)), which was able to describe data for whole exponential phase cells from both batch acid-base titrations at 0.01 M ionic strength and electrophoretic mobility measurements over a range of different pH values and ionic strengths. In agreement with information on the composition of bacterial cell walls and a considerable body of modeling literature, site 1 of the model was assigned to carboxyl groups, and site 2 was assigned to amino groups. pH difference IR spectra acquired by in situ attenuated total reflection infrared (ATR-IR) spectroscopy confirmed the presence of carboxyl groups. The spectra appear to show a carboxyl pKa in the 3.3-4.0 range. Further peaks were assigned to phosphodiester groups, which deprotonated at slightly lower pH. The presence of amino groups could not be confirmed or discounted by IR spectroscopy, but a positively charged group corresponding to site 2 was implicated by electrophoretic mobility data. Carboxyl group speciation over a pH range of 2.3-10.3 at two different ionic strengths was further compared to modeling predictions. While model predictions were strongly influenced by the ionic strength change, pH difference IR data showed no significant change. This meant that modeling predictions agreed reasonably well with the IR data for 0.5 M ionic strength but not for 0.01 M ionic strength.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Acid−Base Titrations of Functional Groups on the Surface of the Thermophilic Bacterium Anoxybacillus flavithermus: Comparing a Chemical Equilibrium Model with ATR-IR Spectroscopic Data

et al. 2007

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“…To our best knowledge, so far no scientific publications have presented results on the use of soil MIR spectral information to predict the bioaccumulation of heavy metals in plants, though the application of the MIR technique to predict Fe, Ni, Cu and Zn concentrations of soil has been studied 10 38 . The Fourier-transform infrared spectroscopy was successfully used to study the interactions of selenium with living bacterial cells 39 . The relatively high concentrations of Cd in the wheat grain collected from the estimated “Grade V” soil zone as described in the present study was also observed in an separate investigation by Huang et al .…”

Section: Resultsmentioning

confidence: 99%

Ecological risk assessment on heavy metals in soils: Use of soil diffuse reflectance mid-infrared Fourier-transform spectroscopy

Wang

Guo

et al. 2017

Sci Rep

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The bioavailability of heavy metals in soil is controlled by their concentrations and soil properties. Diffuse reflectance mid-infrared Fourier-transform spectroscopy (DRIFTS) is capable of detecting specific organic and inorganic bonds in metal complexes and minerals and therefore, has been employed to predict soil composition and heavy metal contents. The present study explored the potential of DRIFTS for estimating soil heavy metal bioavailability. Soil and corresponding wheat grain samples from the Yangtze River Delta region were analyzed by DRIFTS and chemical methods. Statistical regression analyses were conducted to correlate the soil spectral information to the concentrations of Cd, Cr, Cu, Zn, Pb, Ni, Hg and Fe in wheat grains. The principal components in the spectra influencing soil heavy metal bioavailability were identified and used in prediction model construction. The established soil DRIFTS-based prediction models were applied to estimate the heavy metal concentrations in wheat grains in the mid-Yangtze River Delta area. The predicted heavy metal concentrations of wheat grain were highly consistent with the measured levels by chemical analysis, showing a significant correlation (r2 > 0.72) with acceptable root mean square error RMSE. In conclusion, DRIFTS is a promising technique for assessing the bioavailability of soil heavy metals and related ecological risk.

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Fourier Transform Spectroscopy and the Study of the Microbial Response to Stress

Álvarez‐Ordóñez

Prieto

2012

Fourier Transform Infrared Spectroscopy in Food Microbiology

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Fourier-transform infrared spectroscopic study of the interactions of selenium species with living bacterial cells

Abstract: Supplementary material is available for this article if you access the article at http://dx.doi.org/10.1007/s00216-004-2494-4. A link in the frame on the left on that page takes you directly to the supplementary material.

Cited by 10 publications

References 38 publications

Acid−Base Titrations of Functional Groups on the Surface of the Thermophilic Bacterium Anoxybacillus flavithermus: Comparing a Chemical Equilibrium Model with ATR-IR Spectroscopic Data

Acid−Base Titrations of Functional Groups on the Surface of the Thermophilic Bacterium Anoxybacillus flavithermus: Comparing a Chemical Equilibrium Model with ATR-IR Spectroscopic Data

Ecological risk assessment on heavy metals in soils: Use of soil diffuse reflectance mid-infrared Fourier-transform spectroscopy

Fourier Transform Spectroscopy and the Study of the Microbial Response to Stress

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