Determination of Process Stability and Response for Glucose Isomerisation Process
Bibliographic record
Abstract
Production of fructose from glucose isomerisation process using a commercial immobilized glucose isomerase (IGI), involved many factors such as pH, temperature, feed flow rate and initial glucose concentration. This study is focused on determination of process stability, eigenvalues,l, and response of the process, eigenvector,x, at various space velocity, D=F/V (F= feed flow rate mLmin-1 and V= volume of packed-bed reactor, 65mL) with initial steady state of glucose and fructose concentration in improving formation of fructose. Simplified Michelis-Menten model was derived for glucose isomerisation with initial concentrations of glucose from 18 gL-1. The temperature under study was 60ºC with pH of 7 and D from 0, 0.3,1, 5 and 10 per minute. From the results, the steady- state of glucose concentration was obtained at 16.375 g/L and 1.75 gL-1. At D = 0.3 the eigenvalues,l, for glucose and fructose are–0.3 and –0.0002 which show that the process is stable as the eigenvalues is negative whereas the faster response is given by the eigenvector,x with values of [-0.3;0]. Increase D will increase the response of the process but at same time maintain the stability of the process.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".