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Record W4415038096 · doi:10.3791/68735

Monitoring the Uptake and Localization of Organic Compounds in Plant Tissues Using a Hydroponic <sup>14</sup>C-radiolabelling Assay and Phosphor Imaging

2025· article· en· W4415038096 on OpenAlexaff
Kyle Symonds, Mitchell E. Alberts, Douglas G. Muench

Bibliographic record

VenueJournal of Visualized Experiments · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPhytoremediationContaminationEnvironmental remediationPollutantPlant metabolismPlant cellLiquid scintillation countingArabidopsis

Abstract

fetched live from OpenAlex

C-naphthenic acids, are used to trace their absorption, translocation, localization, and metabolism in plant tissues. We have previously used this method with multiple plant species, including Elymus trachycaulus and Salix interior. These observations are corroborated here with the model plant, Arabidopsis thaliana, grown hydroponically in modified Hoagland solutions. Radiolabel uptake was monitored via liquid scintillation counting and phosphor-imaging, which allows for visualization and quantification of radiolabeled compounds within plant tissues. This method details the preparation of plant materials, the use of radiolabeled compounds, and the process of analyzing the distribution and fate of contaminants within plants. The method also includes strategies for assessing compound exudation and allows for the evaluation of both plant uptake and translocation of environmental contaminants. This approach provides insight into plant-mediated remediation processes and can be applied to the study of a wide range of environmental contaminants and plant species.

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 score0.075
Threshold uncertainty score0.290

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 head0.033
GPT teacher head0.366
Teacher spread0.333 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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