Effects of ionic strength, monoethanolamine, copper, and pH on adsorption of alkyl dimethyl benzyl ammonium chloride in wood
Bibliographic record
Abstract
Abstract Various factors were investigated that could affect the adsorption of alkyl dimethyl benzyl ammonium chloride (ADBAC) on red pine wood. An increase in ionic strength of ADBAC solution had little effect on ion exchange (chemisorption) but allowed higher hydrophobic uptake (physisorption) of ADBAC in wood. ADBAC solution containing high amounts of monoethanolamine (MEA) and Cu decreased the chemisorption of ADBAC; free MEA and Cu appear to compete with ADBAC cations for the same bonding sites in wood. When ADBAC in MEA solution was adsorbed on wood under different pH conditions, ADBAC adsorption increased with increasing pH, but was considerably lower than the cation exchange capacity of red pine. Red pine blocks were treated radially and longitudinally with alkaline copper quat solution to verify how the micelle form of ADBAC penetrates into wood. Copper penetrated evenly into 50 mm thick wood samples with little gradient with depth; however, high amounts of ADBAC were concentrated on the surface creating a steep gradient with depth. After accelerated leaching, considerable amounts of physically adsorbed ADBAC leached out, especially from the surface.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 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 teacher head, 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".