Uptake of Hydrophobic Metal Complexes by Three Freshwater Algae: Unexpected Influence of pH
Bibliographic record
Abstract
Cadmium forms neutral, lipophilic Cd(L)2(0) complexes with diethyldithiocarbamate (DDC) and with ethylxanthate (XANT). Uptake of these complexes bythree unicellularfreshwater green algae (Chlamydomonas reinhardtii, Chlorella fusca, and Pseudokirchneriella subcapitata) was determined at two pH values (7.0 and 5.5) and compared to uptake of the free, uncomplexed Cd2+ ion. Uptake of the lipophilic complexes over time, characterized by high initial uptake rates but tending toward a plateau after about 30 min, could be modeled successfully as the result of the following processes: first-order uptake from solution, partitioning of the accumulated Cd into two internal pools (labile and nonlabile), and first-order loss of Cd from the labile pool. At pH 7.0 initial uptake rates for both Cd(L)2(0) complexes were much higher than for Cd2+ alone (e.g., up to approximately 90 times higher for comparable dissolved Cd concentrations of approximately 0.4 nM). However, the initial uptake rates for the lipophilic complexes dropped dramatically when the pH was lowered from 7.0 to 5.5 (2- to 60-fold decrease, depending on the algal species and the nature of the neutral complex). Loss rates for the accumulated complexes also decreased atthe lower pH. The lipophilicity of the neutral complexes, as estimated from their octanol-water distribution coefficient (Dow), was not affected by the decrease in pH from 7.0 to 5.5. We thus conclude that the acidification of the external medium, i.e., the interaction of protons with the algal membrane, strongly affects algal membrane permeability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".