Four representative example applications of mineral traps to document the formation of target minerals are presented below.
Example 1
In situ bioremediation has been implemented at the site for over 10 years through the injection of a soluble, fermentable carbon source to treat trichloroethene and related compounds. Aqueous geochemical data from monitoring wells indicate that sulfate-reducing conditions have persisted for many years, while elevated concentrations of cis-1,2-DCE and other daughter products confirm that microbially mediated reductive dechlorination processes are well established. To verify active iron sulfide formation, mineral trap samplers were deployed at the site. The mineral trap samplers were installed in monitoring wells for approximately five months, after which the samples were analyzed for total iron, AMIBA, and Scanning Electron Microscopy-Energy Dispersive X-Ray Spectroscopy (SEM-EDS). Elevated concentrations of total Fe (100 mg/kg), CrES Fe²⁺ (44 mg/kg), and CrES (41 mg/kg) were observed. Elemental mapping from SEM-EDS images (Figure 4) clearly demonstrates the co-location of iron and sulfur. Collectively, these findings provide strong evidence that remediation activities resulted in active in situ precipitation of iron sulfides. In contrast, the absence of extractable Fe²⁺ and sulfide, together with a lack of co-located iron and sulfur in SEM-EDS analyses, would indicate that iron sulfides were not present in the sample.

Figure 4: SEM-EDS element maps of this mineral trap sample showing the spatial locations of Fe and S (middle and right). Scale bars: 25 µm. Adapted from Divine et al.15. Please click here to view a larger version of this figure.
Example 2
Groundwater contaminated with dissolved nickel was treated by injecting a soluble, fermentable carbon source to promote mineral precipitation of nickel via microbially mediated formation of solid-phase nickel sulfides (NiS). Reductions in dissolved nickel concentrations were observed in monitoring wells, and mineral trap samplers were used to confirm that these decreases resulted from nickel precipitation as NiS. Mineral traps containing sterile sand were deployed in monitoring wells for 64 days, after which the samples were analyzed for total nickel, nickel measured by Simultaneously Extracted Metals/Acid Volatile Sulfide (SEM/AVS) analysis, which indicates Ni-S complexes, and Scanning Electron Microscopy-Energy Dispersive X-Ray Spectroscopy (SEM-EDS). Elevated nickel concentrations were detected in all mineral trap samples, with total nickel ranging from 5.2 to 89 mg/kg and SEM/AVS-extractable nickel ranging from 3.7 to 100 mg/kg. Elemental mapping from an SEM-EDS image of one sample (Figure 5) demonstrates the co-location of nickel and sulfur. Taken together, these results confirm that remediation activities resulted in the in situ precipitation and sequestration of nickel, including as NiS. In addition, total iron measurements and other SEM data suggest that a portion of the nickel may also be associated with non-sulfide iron minerals (data not shown).

Figure 5: SEM-EDS element maps of a mineral trap sample showing the spatial locations of S (left) and Ni (right). Scale bars: 1 µm. Adapted from Divine et al.11. Please click here to view a larger version of this figure.
Example 3
A mineral trap containing sterile soil was deployed at a site where a soluble fermentable carbon solution was injected, and the subsurface was modestly heated (increase in temperatures of about 5-15 °C) to promote in situ bioremediation16. After an incubation period of approximately four months, the mineral trap sample was analyzed for microbiological characteristics via Microbial Insight's advanced qPCR methods known as QuantArray-MIC and CENSUS qPCR-AHY analyses (https://microbe.com/quantarray-mic/). These data (Figure 6) provide insight into redox poise/geochemical conditions and abundance of key microbial groups relevant to the formation of reactive iron mineral species. The mineral trap matrix was sterile upon deployment, so all microorganisms detected by qPCR represent in situ colonizers that established during the incubation period. For example, three of the most abundant targets in the mineral trap sample were identified as fermenters (FER), IRB, and SRB (identified as APS in Figure 6), which indicate active microbial processes consistent with the observed redox conditions. Fermenters are anaerobic bacteria that metabolize organic carbon substrates to produce organic acids and hydrogen. Hydrogen production, in turn, supports the growth of other MIC-associated organisms, including SRB. IRB reduces insoluble ferric iron to soluble ferrous iron, potentially facilitating the availability of ferrous iron for reactive iron mineral formation. SRB consume hydrogen and produce hydrogen sulfide. Hydrogen sulfide, in turn, can react with available ferrous iron to form reactive iron sulfides. While DNA-based methods do not directly quantify enzyme activity, the presence and dominance of these organisms in a previously sterile substrate strongly support ongoing biogeochemical reactions contributing to reactive mineral formation. Overall, the results provide useful insight into the relative abundance of key microbial groups involved in redox reactions and the formation of reactive iron sulfide minerals. These results are consistent with and explain the more than 99.9% reduction in CVOC concentrations at this well and a significant shift in molar mass to ethene and ethane (Figure 7), and the associated decrease in chlorine number (the average number of chlorines for the chlorinated ethenes measured in the sample). These results highlight that reductive dechlorination has been enhanced and is proceeding through detoxification.

Figure 6: QuantArray-MIC and CENSUS qPCR-AHY results from a mineral trap collected from a monitoring well after a 4-month incubation period. Adapted from Divine et al.11. Please click here to view a larger version of this figure.

Figure 7: Changes in time in molar mass from more chlorinated ethenes to ethene and ethane in groundwater concentrations, and the associated decrease in chlorine number (the average number of chlorines for the chlorinated ethenes measured in the sample). Please click here to view a larger version of this figure.
Example 4
Mineral traps can be used in situ to efficiently measure relative contaminant distribution between soil and groundwater. Because mineral trap samplers operate under flowing, biogeochemically active field conditions, the values represent effective distribution coefficients (Kd-eff) that encompass both sorptive and microbially mediated retention processes rather than equilibrium batch sorption parameters. As such, Kd-eff may be more useful than laboratory-derived Kd values as it represents actual sorption behavior observed in the field. As a pilot study, mineral traps with a customized support matrix were deployed at a site contaminated with per- and polyfluoroalkyl substances (PFAS) to calculate site-specific PFAS Kd-eff values and to determine the efficacy of contaminant sorption onto a colloidal carbon product. In this experimental design, three mineral traps were deployed in separate wells for 30 days. The mineral trap pillows were filled with either site soil, Ottawa sand (to determine the sand's suitability as a proxy for site soil), or site soil mixed with an activated carbon remediation product. Upon retrieval of the traps, groundwater was also collected from each well, and the groundwater and three matrices from each location were analyzed via EPA method 1633. The individual and summed PFAS sorption coefficients were calculated by dividing the concentration in the solid (mg/kg) by the concentration in the groundwater (mg/L). Summed PFAS Kd-eff values, calculated for each monitoring well and matrix, are shown in Figure 8 below.

Figure 8: Sorption coefficients of summed PFAS by location and matrix. These results demonstrate that the activated carbon remediation product dramatically increased sorption of the contaminants. Please click here to view a larger version of this figure.
16S rRNA amplicon sequencing was also conducted on each matrix from each location for exploratory purposes. While the composition of microbial communities seems to correlate more closely with support matrix than with well location (Figure 9), more datasets are expected to elucidate patterns in PFAS-related bacteria.

Figure 9: A hierarchical clustering dendrogram of the genus-level classifications from the mineral trap samples. The samples that are more similar to each other are grouped together, so shorter bars denote more similarity. For example, sample MW-7 Carbon is similar to MW-1 Carbon but very dissimilar to MW-8 Sand. Please click here to view a larger version of this figure.
Taken together, these results demonstrate the value of mineral trap samplers for addressing emerging contaminants and informing remediation strategies. The approach enables quantification of effective contaminant sorption and in situ sampling of microbial communities in PFAS-impacted groundwater. Importantly, the technique is most useful as a comparative tool, for example, evaluating the relative performances of different sorbents between traps, rather than as a means to directly reflect equilibrium conditions within the subsurface.
| Analysis | Objective | Use Study |
Aqueous and Mineral Intrinsic Bioremediation Assessment (AMIBA)
• Acid volatile sulfide (AVS)
• Chromium extractable sulfides (CrES)
• Strong acid soluble ferrous and ferric iron (SAS-Fe)
• Weak acid soluble ferrous and ferric iron (WAS-Fe) | Iron and sulfur biogeochemistry | Ulrich et al. (2021a)
Divine et al. (2023a) |
| Scanning Electron Microscopy/Energy Dispersive X-Ray Spectroscopy (SEM/EDS) | Mineralogy and elemental composition | Divine et al. (2023a) |
| Total metals, including total iron (USEPA methods 3050B and 6020) | Metal composition | Divine et al. (2023a) |
| X-Ray Diffraction (XRD)* | Crystalline mineral identification | |
| Magnetic Susceptibility | Magnetite composition | |
| Quantitative polymerase chain reaction (qPCR) and QuantArray | Microbial population concentration | Divine et al. (2023a) |
| DNA Sequencing (16S rRNA, ITS) | Microbial community composition | |
Table 1: Potential Analyses applicable to samples collected with mineral trap samplers.