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Record W7029309530

Impact of water activity on microbial growth in bentonite clay

2023· dissertation· en· W7029309530 on OpenAlex

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldArts and Humanities
TopicSpanish History and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsBentoniteMicroorganismBacterial growthGroundwaterMicrocosmSalinityMicrobial population biologySnowball Earth
DOInot available

Abstract

fetched live from OpenAlex

Canada is in the process of designing and implementing a deep geological repository (DGR) for long-term storage of used nuclear fuel. This proposed storage structure will be a multi-barrier system placed 500-800 metres belowground at a stable and informed host site within either a crystalline or sedimentary rock bed. Bentonite clay, which swells upon saturation, will be used to encase copper-coated used fuel containers and seal the DGR. The presence of naturally occurring microorganisms in the bentonite or subsurface environment, specifically anaerobic sulfate-reducing bacteria (SRB), is an important design consideration in the DGR due to their potential metabolic production of copper-corroding sulfides. For this reason, it is essential to study conditions for bentonite clay that will suppress microbial activity. Using pressure vessels for saturation, previous studies demonstrate that microbial growth is suppressed in compacted bentonite at swelling pressures over 2 MPa and water activities of 0.96 or less. After DGR establishment, the system will experience drying as radioactive heat dissipates, followed by a period of cooling and resaturation. Additionally, the salinity of groundwater penetrating the bentonite will vary depending on the chosen host rock. It is therefore important to investigate microbial responses to a variety of conditions in bentonite to account for possible combinations that will occur in the DGR and identify thresholds that suppress microbial proliferation. My thesis research explored the effects of water activity on Wyoming MX-80 bentonite clay in relation to microbial viability, abundance, and community composition, without the influence of pressure, by assessing microcosm samples in combinations of conditions using water activity, hydration solution, and oxygen presence. Microbial abundance estimates correlated with increasing water activity in oxic conditions. Highest overall microbial abundances were observed for oxic microcosms hydrated with SRB medium. Estimates for SRB remained unchanged for all conditions. No significant microbial proliferation occurred in microcosms hydrated with high-salinity medium or anoxic microcosms. These results suggest higher microbial abundances in the presence of high water activities and nutrient availability, and demonstrate suppression of microbial growth associated with both high-salinity hydration and anoxic incubation conditions. Microbial community profiles based on amplicon sequence variants resulting from direct 16S rRNA gene sequencing of oxic microcosms hydrated with water, low-salinity medium, or SRB medium revealed a dominance of Actinobacteriota, specifically ASVs affiliated with Saccharopolyspora in low and medium water activities and Streptomyces in medium and high water activities. These results indicate a growth dependence of specific actinobacterial taxa based on water activity. There were no consistent community composition pattern changes for anoxic microcosms or microcosms hydrated with high-salinity medium, consistent with a lack of growth based on cultivation-based and qPCR-based approaches. Quantification of fungal 18S rRNA genes from oxic samples hydrated with water or SRB medium revealed increasing abundances of fungi, specifically in microcosms hydrated with SRB medium. These data suggest that abundance estimates of aerobic heterotrophs from microcosms may include fungal colonies that match expected morphologies commonly observed on corresponding cultivation plates. Studying the effects of water activity and hydration media on bentonite is essential to understanding how microbial viability will be affected by water activity within a DGR environment, even in the absence of pressure. Overall, the results demonstrate that microbial growth is slowed by relatively low water activity, and that anoxic conditions and high-salinity water further suppresses bentonite-associated microbial growth. These results inform ongoing pressure vessel experiments that combine both water activity and pressure as controlling environmental parameters and will help guide DGR design specifications and the associated safety case for implementation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.216
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it