A new gas-phase method for formic acid production: Tests on a pilot plant
Bibliographic record
Abstract
Formic acid is industrially produced from methyl formate by multi-stage liquid-phase methods characterized by high capital intensity and high energy costs. The gas-phase synthesis of formic acid by catalytic oxidation of formaldehyde with atmospheric oxygen is developed at the Boreskov Institute of Catalysis. A pilot plant with productivity of up to 3 kg of formic acid per hour is constructed; its flow sheet and the apparatus constructions fully reproduce the future industrial process. It includes two catalytic stages: the oxidation of methanol to formaldehyde and the oxidation of formaldehyde to formic acid. Methanol is oxidized over a commercial iron-molybdenum catalyst oxide under conventional conditions. The oxidation of formaldehyde to acid is performed over titania-vanadia catalyst at temperatures of 120–140°C. Because of the narrow temperature range, a two-reactor flow sheet and the partial dilution of a bed with inert filling in the first of two reactors are used at the second stage. The tests are performed at a methanol concentration in the initial mixture of 6–7 vol % and the temperature is varied in the formaldehyde oxidation reactors. Under optimum conditions, the acid yield is 87–88% relative to the converted formaldehyde and 79–81% based on the converted methanol. This is achieved at the complete conversion of methanol and 96.5–98.5% conversion of formaldehyde. The technology meets the requirements of “green” chemistry.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".