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Record W2008302528 · doi:10.1002/jpln.200321191

Can ATP be measured in soils treated with industrial oily waste?

2003· article· en· W2008302528 on OpenAlexafffund
Guang Wen, R. P. Voroney, Terry P. McGonigle, Shinobu Inanaga

Bibliographic record

VenueJournal of Plant Nutrition and Soil Science · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicMine drainage and remediation techniques
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSoil waterEnvironmental scienceEnvironmental chemistryChemistryWaste managementSoil scienceEngineering

Abstract

fetched live from OpenAlex

Abstract Soil samples were collected from a field with a long‐term (10 yr) oily wastewater application history, containing 70 mg g –1 of oil and grease and an accumulation of heavy metals, and also from a short‐term (1 yr) wastewater application involving different rates of waste, tillage, and nitrogen (N) fertilization. Prior to ATP extraction, the soils were incubated at 22 °C and a water potential of –60 kPa for 21 d and 2 d for the long‐ and short‐term trials, respectively. The light emitted from the bioluminescence reaction was partly quenched in the extract of steam‐sterilized long‐term waste‐treated soil, and curvilinearly responded to the addition of ATP at concentrations higher than 4 ng ATP per assay in contrast to the linear response from the pure extractant and the extract of control soil. Calibration curves developed from the extracts of steam‐sterilized soils were used for calculating ATP in that given soil. ATP determined in the long‐term treated soil was as high as 3201 ng (g soil) –1 . Still, residual oil to ATP concentration ratio was about an order of magnitude higher in the long‐ than in the short‐term waste‐treated soil, reflecting the accumulation of recalcitrant material. In the short‐term treated soils, ATP ranged from 355 to 760 ng (g soil) –1 and responded to the rate of waste application, tillage, and fertilization. The use of ATP measurement has potential for assessing land management effects and developing tillage and fertilization recommendations for enhanced biodegradation of the oil waste.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.214

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.223
Teacher spread0.200 · 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 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
Published2003
Admission routes2
Has abstractyes

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