| Literature DB >> 34276626 |
Sören Bellenberg1, Stephanie Turner1, Laura Seidel1, Nathan van Wyk1, Ruichi Zhang2, Varvara Sachpazidou1, Rodrigo F Embile3, Ingar Walder3, Tiina Leiviskä2, Mark Dopson1.
Abstract
Vanadium - a transition metal - is found in the ferrous-ferric mineral, magnetite. Vanadium has many industrial applications, such as in the production of high-strength low-alloy steels, and its increasing global industrial consumption requires new primary sources. Bioleaching is a biotechnological process for microbially catalyzed dissolution of minerals and wastes for metal recovery such as biogenic organic acid dissolution of bauxite residues. In this study, 16S rRNA gene amplicon sequencing was used to identify microorganisms in Nordic mining environments influenced by vanadium containing sources. These data identified gene sequences that aligned to the Gluconobacter genus that produce gluconic acid. Several strategies for magnetite dissolution were tested including oxidative and reductive bioleaching by acidophilic microbes along with dissimilatory reduction by Shewanella spp. that did not yield significant metal release. In addition, abiotic dissolution of the magnetite was tested with gluconic and oxalic acids, and yielded 3.99 and 81.31% iron release as a proxy for vanadium release, respectively. As a proof of principle, leaching via gluconic acid production by Gluconobacter oxydans resulted in a maximum yield of 9.8% of the available iron and 3.3% of the vanadium. Addition of an increased concentration of glucose as electron donor for gluconic acid production alone, or in combination with calcium carbonate to buffer the pH, increased the rate of iron dissolution and final vanadium recoveries. These data suggest a strategy of biogenic organic acid mediated vanadium recovery from magnetite and point the way to testing additional microbial species to optimize the recovery.Entities:
Keywords: 16S rRNA amplicon sequencing; Gluconobacter oxydans; bioleaching; magnetite; vanadium
Year: 2021 PMID: 34276626 PMCID: PMC8278310 DOI: 10.3389/fmicb.2021.693615
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
FIGURE 1Non-metric multidimensional scaling (NMDS) of microbial community composition for the environmental 16S rRNA gene samples. The NMDS is based on a Bray Curtis dissimilarity matrix using relative abundances of the ASVs. Color encodes sampling site and symbols encode sample type.
FIGURE 2Stacked bar graph of the microbial community composition based on the relative abundances of phyla (>1%). The remaining proportion to 100% (1.0) includes low-abundant taxa of <1% of the relative abundance.
Summary table of magnetite dissolution from the (bio)leaching strategies tested.
| Iron yield | Rate | Leaching time | Magnetite dissolution | ||
| mmol/L | mg/L | mmol L–1 d–1 | Days | % | |
| Gluconic acid (0.5 N) | 14.0 | 783 | 0.93 | 15 | 3.99 ± 0.03 |
| Oxalic acid (0.5 N) | 285.3 | 15 930 | 47.5 | 6 | 81.31 ± 1.71 |
| Acidophile bioreactor (anaerobic) | 6.1 | 341 | 0.14 | 45 | 1.74 ± 0.12 |
| 1.4 | 77 | 0.03 | 40 | 0.39 ± 0.09 | |
| 1.6 | 88 | 0.04 | 40 | 0.45 ± 0.05 | |
| 32.2 | 1 799 | 2.15 | 16 | 9.18 ± 0.16 | |
| 2.0 | 113 | 0.04 | 46 | 0.58 ± 0.03 | |
| 0.5 | 28 | 0.01 | 87 | 0.14 ± 0.04 | |
FIGURE 3Chemical leaching of magnetite using gluconic acid (dashed line) and oxalic acid (solid line). Equal normality (0.5 N) solutions of gluconic and oxalic acid were used in shake flasks incubated at 30°C and 120 rpm agitation. Data are averages ± SD (n = 3).
FIGURE 4Bioleaching of 3% (wt/vol) magnetite concentrate using Gluconobacter oxydans showing the development of soluble iron ions (solid line) and pH (dashed line). Data are averages ± SD (n = 3) except for pH values between days 0 and 4 that are single replicates.
FIGURE 5Bioleaching of 3% magnetite concentrate using Gluconobacter oxydans with 0.1% (wt/vol) yeast extract (), 1.0% (wt/vol) yeast extract (), and 1.0% (wt/vol) yeast extract plus 2.0% (wt/vol) CaCO3 (). Results show pH (A), soluble iron ions (B), and vanadium (C). Data are averages ± SD (n = 3).