ISOLATION OF FUNGUS FROM ROOTS OF WATER HYACINTH AND CELLULASE PRODUCTION BY THE MICROORGANISM FROM CARDBOARD WASTE
Bibliographic record
Abstract
Bioethanol production from agro-industrial waste is becoming a major research area for alternative fuel. The cellulase enzyme is the key ingredient used for the cellulosic bioethanol fermentation process. India is abundant in cellulosic resources that come from paper and pulp industries. Single-use newspaper and packaging cardboards constitute a significant portion of cellulosic wastes. Here in this study, an industrial enzyme cellulase was produced from single-use newspaper and cardboard wastes. Afungus was isolated (THS8) from the root of the water hyacinth collected from an abundant pond located near Badoli village, Faridabad (India). The fungus was used to do a comparative study for cellulase production by using different substrates such as pure carboxymethyl cellulose (CMC), cardboard (CB), coated cardboard (CBC) and newspaper (NP). The maximum cellulase activity 0.149 FPU (Filter paper unit)/ml was estimated in cardboard (20g/l) grown in MW (Mandel Weber) medium. Likewise, a total of 60% degradation of the cardboard was observed after 7 days of incubation at 30°C with 0.27 FPU/ml optimized at CB 20g/l. This demonstrates the feasibility of using cardboard as a less expensive feedstock, which is usually dumped after unpacking items in households and industries, to produce cellulase enzyme by the isolated microorganism.
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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 | 0.000 | 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 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".