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Record W1972130305 · doi:10.1139/f03-014

A simple method for assaying extracellular hydroxyl radical activity and its application to natural and synthetic waters

2003· article· en· W1972130305 on OpenAlexvenueno aff
Lewis A. Molot, Sean A. Miller, Peter Dillon, Charles G. Trick

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsnot available
FundersMinistry of Environment
KeywordsEnvironmental chemistryEutrophicationHydrogen peroxideAbsorbanceChemistryHydroxyl radicalNitrateBloomSeawaterAlgal bloomPhytoplanktonEcologyNutrientRadicalBiologyChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

An assay has been developed to measure extracellular hydroxyl radical (OH*) activity in algal culture media and natural waters over a 4- to 5-day period. The first-order rate constant, k, for loss of absorbance at 590 or 620 nm was determined for erioglaucine, which is sensitive to OH*, insensitive to superoxide and hydrogen peroxide, and stable in the dark and under artificial radiation (280–750 nm) and solar radiation in the absence of oxidants. Variation in irradiance was accounted for by normalizing k with k for a ferric iron reference solution with dye (k/k fe ). Trends in k/k fe for streams and lakes were consistent with previous data on photochemical oxidation rates of dissolved organic matter. Values for k/k fe were similar in filtered surface waters of eutrophic Heart Lake and nearby mesotrophic Lake St. George under artificial radiation. Hence, extracellular OH* did not appear to be a direct cause of the onset of a nuisance cyanobacterial bloom in Heart Lake, nor did OH* appear related to the absence of a bloom in Lake St. George. k/k fe was two orders of magnitude higher in algal culture media supplied with 8.8 mM nitrate than in lake waters.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.014
GPT teacher head0.251
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2003
Admission routes1
Has abstractyes

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