Comparison between Ion-chromatography and Titration Methods for the Determination of Sulfite in Wastewater Containing Furfural
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Sulfur-containing species, such as sulfite, are detrimental to the operation of anaerobic systems, therefore, it is critical to determine their concentrations in order to optimize an anaerobic reactor. In this study, the traditional titration method for the determination of sulfite was applied to acid-condensate samples from an acid sulfite pulp mill effluent, and the results showed that they were consistently lower than those from ion chromatography (IC). It was found that the presence of furfural in the acid-condensate samples can interfere with the titration for sulfite, resulting in lower sulfite values; the higher the furfural concentration in the sample, the lower the indicated sulfite concentration by titration. It was concluded that IC method is a reliable method for determining the sulfite concentration for samples containing furfural.
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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 it