Effect of Reaction Conditions on the Formation of Byproducts in the Adiabatic Mononitration of Benzene into Mononitrobenzene (MNB)
Bibliographic record
Abstract
Two main impurities are made in the industrial production of MNB. These impurities are nitrophenols and dinitrobenzene (DNB). The formation rates of these impurities are significantly affected by the initial reaction conditions. Understanding these effects is an important first step in the continuous on-going research aimed towards reducing the formation of these impurities. However, very limited work has been published on this subject. This paper presents the findings of a study done by the authors, conducted in a laboratory setting, examining the effect of relevant industrial operating conditions on the formation rates of nitrophenols and DNB. The selected operating conditions, which can usually be manipulated in most industrial production MNB facilities, are: initial sulfuric acid concentration, average reaction temperature, and nitric acid concentration in the mixed acid feed.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".