A Method for Redox Mapping by Confocal Micro-X-ray Fluorescence

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A method for redox mapping by confocal micro-X-ray fluorescence imaging: using chromium species in a biochar particle as an example Peng Liu, Carol J. Ptacek, David W. Blowes, Y. Zou Finfrock, Mark Steinepreis, and Filip Budimir Anal. Chem., Just Accepted Manuscript • DOI: 10.1021/acs.analchem.8b05718 • Publication Date (Web): 20 Mar 2019 Downloaded from http://pubs.acs.org on March 22, 2019

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Analytical Chemistry

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A method for redox mapping by confocal micro-X-ray fluorescence imaging: using chromium

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species in a biochar particle as an example

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Peng Liua,b, Carol J. Ptacek,b, David W. Blowesb, Y. Zou Finfrockc,d, Mark Steinepreise, Filip Budimirb

aSchool

of Environmental Studies, China University of Geosciences, 388 Lumo Rd., Wuhan, Hubei, 430074, P. R. China bDepartment of Earth and Environmental Sciences, University of Waterloo, 200 University Ave. W., Waterloo, ON, N2L 3G1, Canada cCLS@APS sector 20, Advanced Photon Source, Argonne National Laboratory, 9700 S. Cass Avenue, Argonne, IL 60439, USA dScience Division, Canadian Light Source Inc., 44 Innovation Boulevard, Saskatoon, SK, S7N 2V3, Canada eStantec Consulting Ltd., 100-300 Hagey Blvd., Waterloo, ON, N2L 0A4, Canada

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* Corresponding

author: Department of Earth and Environmental Sciences, University of Waterloo, 200 University Ave. W., Waterloo, ON, Canada N2L 3G1. Tel: +01 (519) 888 4567, ext. 32230 E-mail: [email protected]

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Graphical abstract

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Abstract

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Redox mapping of solid-phase particles has been used for speciation mapping of near-surface

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materials or within grains through the use of thin-sections without depth information. Here, a

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procedure is presented for data collection and processing of depth-dependent redox mapping

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within solid particles using confocal micro-X-ray fluorescence imaging (CMXRFI). The

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procedure was applied to a biochar particle that was reacted with Cr(VI)-spiked water. The total

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Cr distribution was first obtained at an above-edge energy of the K edge, and showed that Cr was

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primarily distributed near the surface of the particle. Redox mapping was conducted at 33

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representative energies and linear combination fitting (LCF) was performed for the 33 data

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points from each pixel. The results indicate Cr(III) is the primary species with fractions ranging

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from 0.6 to 1 and that this fraction is greater in the interior pixels of the particle than at the

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surface; in contrast, the Cr(VI) fraction is greater at the surface than for interior pixels. The

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results likely indicate Cr(VI) was first adsorbed and diffused into the biochar, and then reduced

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to Cr(III). With more Cr(VI) adsorption and the exceedance of the reduction potential of the

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biochar, remaining Cr(VI) was accumulated on the surface. The redox mapping method was

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validated by micro-XANES (X-ray absorption near-edge structure) and XPS (X-ray

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photoelectron spectroscopy) results. This demonstration indicates the developed method

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combined with CMXRFI can be used to delineate the distribution of different oxidation states of

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an element within an intact particle or layer.

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Key words: redox/chemical mapping; confocal micro-X-ray fluorescence imaging; linear

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combination fitting; biochar; chromium

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Introduction

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X-ray fluorescence (XRF) mapping is a well-established synchrotron-based method employed

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for obtaining quantitative distribution of multiple elements by mapping intensities of a selected

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region of interest (ROI) from a full XRF spectra. Chemical mapping is an extension of the XRF

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mapping to produce images of a certain chemical species by exploiting chemically sensitive

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differences in X-ray absorption near-edge structure (XANES) spectra1. Redox mapping, a

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specific type of chemical mapping, maps the same element in different oxidation states. The

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application of chemical mapping is limited compared to micro-XRF mapping and micro-

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XANES, i.e., micro-XRF mapping is used to delineate the spatial distribution of a specific

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element without speciation information.

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Micro-XANES spectra are related to the chemical environment and the oxidation state of

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the element of interest, and provide spatial information of different chemical moieties 2. Micro-

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XANES has been applied to delineate the speciation of various elements after micro-XRF

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mapping, including S3, V4, Fe5, As6, Se7, Sr8, Hg9,10, and Pb8. Different chemical species can be

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shown by micro-XANES spectra at selected locations. One limitation of micro-XANES method

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is that spectra can only be collected from a limited number of locations based on the XRF maps,

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so key information can be missed1. Second, the sample might undergo significant chemical

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changes due to the longer data collection time (>5 min) for micro-XANES spectra as well as the

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high intensity of the micro-size incident beam. Because dwelling time for each step in chemical

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mapping is between 100-300 µs, chemical mapping can potentially avoid these limitations.

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Chemical mapping was pioneered by Kinney et al.11 and has been applied to various

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samples2,12-18. Pickering et al.12 and Sutton et al.13 present procedures for data collection and

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subsequent chemical mapping, and apply this approach to map Se speciation in water-saturated

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sediments, respectively. Linear combination fitting (LCF) was applied, and the intensity of

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references and chemical mapping were normalized to the intensity at an above-edge energy in

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Sutton et al.13; furthermore, the number of energies for intensity collection was the same as the

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number of references in Pickering et al.12 and Sutton et al.13. Oram et al.19 created Se oxidation

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state distribution maps for rhizosphere soils by mapping at the energy of maximum absorbance

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of each Se species. Mayhew et al.16 mapped Fe speciation and distribution in complex samples

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using principal component analysis of redox maps at four energies. Dauphin et al.2 report the

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chemical mapping of S in P. nobilis at four energies. The method provides key information on

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the spatial speciation of different elements and will be important in the future study, but the

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method is suitable for species for which the energy of maximum absorbance is distinctive for

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each and the number of species is limited.

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Full-field XANES, a combination of the advantages of micro-XANES and micro-XRF,

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employs the full spectra with a large number of incident energies and pixels18,20-23. Full-field

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XANES has been applied to the characterization of two-dimensional redox and speciation of Fe

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in thin-sections of complex geological materials and ceramics18,20,21 and Ca speciation in human

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bone23. An algorithm was developed for the alignment of hyperspectral images from full-field

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XANES analysis22. However, chemical mapping with depth information for intact objects has

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not been performed. Confocal micro-X-ray fluorescence imaging (CMXRFI) analysis can be

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used to obtain elemental distributions along the cross section within various intact samples

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through the addition of a confocal optics in front of the detector24, and CMXRFI has the potential

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to provide chemical speciation with depth information25,26. Compared to conventional micro-

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XRF mapping, advantages of CMXRFI include non-destructive characterization of samples27,

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high signal-to-noise ratios (low detection limit)28,29, and minimal sample preparation24.

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The most widely used approach for quantitative XANES analysis is LCF. The underlying principle of LCF is the additive nature of the spectra of each species in a sample to create the

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overall spectrum for that sample. LCF is more suitable and objective for speciation calculation of

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diluted samples compared with spectral deconvolution method30. Limited studies related to

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chemical mapping employed LCF due to the limited number of energies used in map collection.

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This study presents procedures for data collection and processing to construct redox maps

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using CMXRFI. A biochar particle loaded with chromium (Cr) is used as an example to show the

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process of data collection and energy selection for redox mapping. Data are processed in

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MATLAB® using LCF, and the fraction and intensity of each Cr species plotted. The aim is to

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facilitate the application of combining CMXRFI and redox mapping to delineate element-

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specific spatial distributions of different species.

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Methods

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Batch experiment

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An oak-wood biochar (rejects from industrial products) pyrolyzed at ~700 °C was obtained from

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Cowboy Charcoal Inc., USA. The rejects were crushed and sieved, and the 0.5-2 mm particles

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were washed 3 times using Milli-Q (Millipore) water to detach impurities and fine particles and

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used for batch experiments. The experiment was performed by adding 0.4 g of biochar to 40 mL

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of K2Cr2O7-spiked water (50 mg L-1 as Cr(VI)) at an initial pH of 2 for 24 h in an anaerobic

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chamber (Coy Laboratory Products, USA). The pH was adjusted to 2 by adding hydrochloric

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acid. Triplicate experiments were performed and mean values were reported.

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The aqueous phase was filtered through 0.20-µm Supor membrane filters (Acrodisc, UK)

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after 24 hours for analysis of pH, Cr(VI), and total Cr (tCr). The pH was determined using a

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combination electrode (Orion Ross 815600). Cr(VI) concentrations were measured using a Hach

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DR2800 spectrometer using the 1,5-diphenylcarbohydrazide method (HACH Method 8023). tCr

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concentration was measured using inductively coupled plasma-optical emission spectrometry

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(Thermo iCAP 6500). Cr(III) concentrations were calculated as the difference between

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concentrations of tCr and Cr(VI). The content of Cr loaded to biochar was calculated based on

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the mass balance. The biochar particles were filtered out and immediately rinsed three times

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using ultra-pure water, freeze-dried for 24 h, and stored under anaerobic conditions. The particles

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were transferred to the Advanced Photon Source (APS) in a portable anaerobic container (BD

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BBL™ GasPak™) for CMXRFI analysis.

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CMXRFI, micro-XANES, and redox mapping

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CMXRFI analysis of a biochar particle loaded with Cr was performed at Beamline Sector 20ID

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of APS, Argonne National Laboratory, IL, USA. The biochar particle was in a rectangle-like

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shape (~1.0×1.8×0.8 mm, Fig. S-1) and a particle density of ~1.34 g cm-3. Epoxy (Devcon

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14250, USA) was used to mount the particle on a quartz slide. The slide was attached to a stage

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oriented at 34° to the incident beam.

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CMXRFI data were obtained for Cr intensity (If) at an incident beam energy (E) of 7080

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eV, which is greater than its binding energy of 5.989 keV at the K edge (Fig. 1). The

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monochromatic incident beam (intensity as I0) was focused with KB mirrors down to ~2×2 μm2.

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Full spectra of X-ray fluorescence were collected with a single element Si-drift detector. The

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confocal geometry was completed by installing a germanium collimating channel array optic unit

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in front of the detector. The depth resolution of the optic was ~2 μm, the confocal volume was 8

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μm3, and the working distance was ~1.5 mm. More details of the optics are provided by Liu et

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al.29. Full XRF spectra were acquired by rastering the particle using a high precision stage

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(Aerotech Inc.) in the horizontal direction (xy plane) with a step size of 5 μm and a dwelling time

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of 0.2 s. The mapping area was 250×400 (depth×width) µm2 and the data acquisition time was

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~17 min. Cr Kα fluorescence line absorption length was ~1400 µm for the biochar particle

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calculated by Hephaestus 31, which indicates the mapping depth (250 µm) did not result in

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complete absorption of Cr Kα edge XRF. The imaging area was located in the cenral area of the

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particle in the horizontal plane. The intensity of each pixel was corrected by considering the

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geometry of the CMXRFI setup and the heterogeneity of the particle using the elemental

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composition of the biochar (Table S-1) and a method presented by Liu et al.29.

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Micro-XANES spectra were collected at points of interest determined from the full

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spectra maps (Fig. 1), including Cr-enriched and less enriched areas as well as the surface and

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interior of the particle. Confocal micro-XANES spectra were recorded at the Cr K-edge using the

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same CMXRFI setup. The scan range was -150 to 528 eV. The monochromater energy was

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calibrated with Cr foil. Five to seven repeated scans were collected for each selected point of

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interest area with 2-µm displacement (Fig. S-2) between scans to decrease radiation exposure

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and no obvious changes were observed. Spectra for calibration standards for Cr foil, Cr(OH)3,

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Cr2O3, Cr(acetate)3, CrO3, K2Cr2O7, and K2CrO4 were obtained from previous studies32,33 at

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Sector 13 bending magnet beamline of the APS and were used for LCF.

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Redox mapping data were collected at selected energies (q=33 in total), which covered

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the key features of the micro-XANES spectra, and additional energies were selected at positions

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with dramatic changes in the absorbance (for example: peaks, valleys, and edges). The selected

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energies were determined using Monte Carlo simulations in MATLAB described in the

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Supporting Information (SI). Briefly, a small number of energy points were randomly selected in

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combination with the energies from key features; a cubic spline interpolation method was

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applied to obtain the absorbance for the non-selected energy points in the full spectra; Monte

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Carlo simulation was applied to obtain the minimum R factor for the specific number of energy

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points; the number of points increased one by one until the R factor decreased to a threshold

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(2*10-4 for this study). The calculated minimum number of energy points was 23 (Table S-2; Fig.

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S-3), whereas 33 points were selected in this study to include more information of the spectra.

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Redox mapping data were collected with a step size of 2 μm for a 140×80 µm2 area. The

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dwelling time was 0.2 s and the collection time at each energy was ~10 min with a total time of

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~5 hrs for the 33 energies. The repositioning was accurate from map to map based on the

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potassium (K) distribution maps at the 33 incident energies. The intensities at 33 energies were

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corrected in the same manner with the intensities at 7080 eV.

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Data processing and plotting

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The confocal micro-XANES spectra at each location were corrected for sample attenuation along

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the beam path. The intensities of incident beam (I0) and emitted XRF (If) at each energy point of

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a scan from the specific pixel were corrected using information obtained from the intensity

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correction for the whole imaging area at 7.08 keV. The information included the path length,

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density distribution, and total cross section calculated from the elemental distribution along the

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beam path. The process was embedded into the program developed by Liu et al.29. The corrected

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spectra were then merged and normalized (µ(E)) with the normalization order set to 1 to simplify

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the data analysis process. The normalization was performed in Athena31 and MATLAB.

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LCF fitting was performed near the XANES (full spectra from selected points) region

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from -20 to 20 eV relative to 6003 eV for µ(E) and the derivative of µ(E). The coefficient (α)

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was forced between 0 and 1, and the sum forced to be 1. The LCF fitting strategy followed the

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methods delineated by Voegelin et al.34 and Jamieson-Hanes et al.35. Sample spectra were first

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fitted using all of the available reference spectra, then the number of references decreased until

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the goodness-of-fit parameters (χ2, χv2, and R; SI) increased by at least 30%. The match between

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characteristic peak positions in the sample and references was also considered in reference

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selection. The spurious inclusion of references was likely avoided through these procedures. The

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error of the LCF procedure is expected to be