Decolorization of Maxilon-Red by Kissiris Immobilized Phanerochaete Chrysosporium in a Trickle-Bed Bioreactor-Involvement of Ligninolytic Enzymes
Bibliographic record
Abstract
The decolorization of Maxilon-red dye by Kissiris immobilized Phanerochaete chrysosporium in the trickle-bed reactor (TBR) using the basal nitrogen-limited growth medium was studied. The influence of the superficial liquid velocity (SLV) on the decolorizing ability of the fungus was examined at four SLVs (cm sec-1): 0.05, 0.075, 0.1, and 0.15. Maximum level of the decolorizing activity was about 94 % by day 4-5 of the process when the TBR operated at SLV=0.075 to 0.1 cm sec-1. At these SLVs, the maximum activities of the lignin peroxidase (LiP) and the manganese peroxidase (MnP) were (UL-1): 87 and 207, respectively. In a successive decolorization of the tested dye in a continuous dye addition in the TBR when glucose level decreased to 2 gL-1, significant reduction in the characteristics of the interest were observed. While by controlling the glucose concentration, these properties were improved considerably: The decolorizing ability of the Kissiris immobilized mycelia was more than 85 % after nearly 20 days of the process while the maximum activities of the LiP and the MnP were (UL-1): 320 and 151, respectively. Considerable levels of the enzyme activities were detected by day 19 and after 11 times of the dye additions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".