MétaCan
Menu
Back to cohort

CADMIUM AND ZINC BIOAVAILABILITY TO <i>SELENASTRUM CAPRICORNUTUM</i> (CHLOROPHYCEAE): ACCIDENTAL METAL UPTAKE AND TOXICITY IN THE PRESENCE OF CITRATE

2000· article· en· W2144179667 on OpenAlexaff
Olivier Errécalde, Peter G. C. Campbell

Bibliographic record

VenueJournal of Phycology · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsSelenastrumBiologyChlorophyceaeCadmiumZincPhytotoxicityBioavailabilityMetal toxicityToxicityZinc toxicityBotanyChlorophytaAlgaePharmacologyMetallurgy

Abstract

fetched live from OpenAlex

Toxicities of cadmium (Cd) and zinc (Zn) to the green alga Selenastrum capricornutum Printz were determined over 72 h in defined synthetic media buffered by citrate (FRAQ CIT ; [citrate] = 100 μM or 5 μM) or nitrilotriacetate (FRAQ NTA ; [NTA] = 5 μM). Algal sensitivity to free Cd 2 + or free Zn 2 + in FRAQ CIT was much higher than in FRAQ NTA . In parallel experiments, short‐term intracellular uptake of radiolabeled 109 Cd was measured as a function of time (0–30 min) in FRAQ CIT and FRAQ NTA ; for a given free Cd 2 + concentration (8, 250, or 610 nM), intracellular accumulation of Cd was consistently higher in FRAQ CIT than in FRAQ NTA . Under the same conditions, the alga accumulated 14 C‐labeled citrate almost linearly over a 2‐h period. Loss of 109 Cd from algal cells that had been prelabeled with the radionuclide occurred slowly, and the loss rate was insensitive to the presence or absence of citrate, indicating that the overall permeability of the algal membrane to Cd was unaffected by citrate. The enhanced bioavailability of Cd in the presence of citrate could be explained by membrane transport of a charged Cd–citrate complex, presumably by accidental transport.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.620
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0030.000

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 head0.010
GPT teacher head0.238
Teacher spread0.228 · 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 designObservational
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

Citations72
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueJournal of PhycologySame topicHeavy metals in environmentFrench-language works237,207