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Record W2730349098

In Situ Chemical Reduction (ISCR) for Removal of Persistent Pesticides; focus on kepone in tropical soils

2011· preprint· en· W2730349098 on OpenAlexaboutno aff
Christophe Mouvet, Sébastien Bristeau, Laurence Amalric, Marie Christine Dictor, Anne Mercier, Laurent Thannberger, Jim Mueller, John Valkenburg, Alan G. Seech, Andrezej Przepiora, Josephine Molin, Edson Marcus Bucci

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2011
Typepreprint
Languageen
FieldEngineering
TopicEnvironmental remediation with nanomaterials
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental chemistryChemistryChlordaneBioremediationEnvironmental scienceDecompositionReductive dechlorinationPesticideBiodegradationContaminationEcologyOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Background/Objectives. The global use of organochlorine pesticides (OCPs) such as Lindane, DDT, Dieldrin, Kepone, Chlordane and Toxaphene has resulted in long-term soil impacts at many sites. Given the potential risks to human health and the environment, some OCP-impacted sites require treatment. In certain cases, the "dig-and-dump" approach is not practical due to magnitude of the problem, access issues, and/or resource constraints. Here "bioremediation" can be used to treat the soil on site, often at lower costs, and certainly with lower generation of greenhouse gases. Unfortunately, most OCPs are not amenable to conventional bioremediation technologies hence they persist over time. Approach/Activities. DARAMEND® in situ chemical reduction (ISCR) technology uniquely combines controlled-release carbon with a reduced metal such - as zero valent iron (ZVI) or zinc - to yield a highly effective material for stimulating the complete degradation (no accumulation of catabolic intermediates) of persistent organic compounds present in soil, sediment and groundwater. The term ISCR is used to define the combined effects of stimulated biological oxygen consumption (via "fermentation" of complex organic carbon sources), direct chemical reduction with reduced metals, and the corresponding enhanced decomposition reactions that are realized at the lowered redox (Eh) conditions. In brief, the ZVI oxidizes to form ferrous iron and releases electrons in the process. The organic carbon is consumed by microorganisms that are indigenous to the soil, resulting in release of additional free electrons. These electrons transferred to the OCPs result in the removal of chlorine from the compound's structure (reductive dechlorination); ultimately, complete destruction of the pesticides occurs. Most soils can be effectively treated in a reasonable time frame (e.g., from 4 to 8 weeks) using standard agricultural machinery at a price typically less than US$20 per tonne of soil treated. Results/Lessons Learned. The presentation will summarize the ISCR theory followed by case studies in the United States, Brazil and Europe. Particular emphasis will be placed on the removal of OCPs from soil at sites in Canada (34 acres impacted by DDT, DDD, and DDE) and the Caribbean (French West Indies, Kepone impacted soils - technology validation tests). For Kepone, bench-scale studies demonstrated rapid (< 2 weeks) and extensive degradation: catabolites with up to 7 Cl removed were identified by GC/MS. Mesocosm (scale-up) studies with tropical soils determined that soil type had a significant impact on process efficacy. Ecotoxicity tests and bioaccumulation studies were also considered in the evaluation of the process. Recognized technology development needs include insight into catabolite environmental fate/affect. Significant advances in the biogeochemistry of OCP degradation are anticipated from basic research on microbiology and genetics of ISCR processes.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.016
GPT teacher head0.213
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

Classification

machine, unvalidated

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

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

Citations5
Published2011
Admission routes1
Has abstractyes

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