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Record W7062504776

Use of Compound-specific Isotope Analysis to Investigate Enzymatic Reaction Mechanisms

2021· dissertation· W7062504776 on OpenAlexfundno aff

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiotransformationBiodegradationIsotope analysisFractionationIsotope fractionationKinetic isotope effectIsotopes of carbonBioremediation
DOInot available

Abstract

fetched live from OpenAlex

To maximize the efficiency of biodegradation in groundwater at contaminated sites, it is imperative to understand biodegradation reaction mechanisms. Compound-specific isotope analysis (CSIA) is a powerful approach that provides novel insights into biodegradation reaction mechanisms, enzyme kinetics and bioremediation potential and efficiency. This thesis aims to extend the discipline of CSIA in several new directions including its use as a means for probing reaction mechanisms, and for examining enzyme kinetics and biodegradation efficiency for halogenated alkanes. This thesis expands the application of CSIA to a new class of compounds, chlorofluorocarbons (CFCs). Significant carbon isotope fractionation was observed during biotransformation of CFC- 113 and CFC-11, and experimental findings applied to investigation of a contaminated field site. Carbon isotope fractionation of CFC-11 in groundwater suggested up to 86% transformation was occurring. Science and public attention remain focused on CFCs, due to recently reported unexplained source inputs to the atmosphere, and the potential for CFC biotransformation in surface and groundwaters remains unclear. Further biotransformation experiments integrated chlorine isotope with carbon isotope analysis for 1,1,1-trichloroethane (1,1,1- TCA) and 1,1-dichloroethane (1,1-DCA). Carbon isotope effects for 1,1,1-TCA and 1,1-DCA biotransformation are suppressed while ΛCl/C are consistent, suggesting a non-fractionating masking effect is present in 1,1,1-TCA and 1,1-DCA biotransformation. In contrast CF biotransformation by the enriched culture SC05 produced highly suppressed carbon and chlorine isotope effects, resulting in significantly different ΛCl/C values. These results are inconsistent with a non-fractionating masking effect and indicate differences in reaction mechanisms or an isotopically fractionating masking effect. The observational data and insights into underlying controls on isotopic fractionation observed for the experiments and field applications herein emphasize the need to understand mechanistic and kinetic controls on carbon and chlorine isotope effects. Studying RDases using CSIA has implications for understanding the role of reductive dehalogenation in the global halogen cycle that influences environmental contamination, atmospheric chemistry and, in turn, climate.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.036
GPT teacher head0.266
Teacher spread0.230 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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