<i>Amorphophallus paeoniifolius</i> corm: A potential source of peroxidase for wide applications
Bibliographic record
Abstract
Peroxidases have wide applications in different areas including chemical synthesis, medicine, food industry, bioremediation of wastewater, biosensing, and biotechnology. Amorphophallus paeoniifolius (elephant foot yam) is an attractive source of enzymes; however, no effort has been made to assess peroxidase enzyme from this source. Therefore, the objectives of this study were to evaluate and compare peroxidases from corms of elephant foot yam and roots of Dacus carota (carrot) and Aramoracia rusticana (horseradish). Elephant foot yam corm peroxidase (ECP) demonstrated 4.5 times higher specific activity compared with carrot root peroxidase (CRP). ECP showed retention of high activity over a broad pH range and had higher temperature optima and thermal stability compared with CRP and horseradish peroxidase (HRP). The calculated KM values of ECP, CRP, and HRP for the substrates guaiacol and hydrogen peroxide were 4.5 mM and 307.8 µM, 4.6 mM and 55.5 µM, and 3.5 mM and 413.0 µM, respectively. Peroxidases are used for the bioremediation of wastewater contaminated with hazardous aromatic compounds. Heavy metals such as cadmium (Cd2+), lead (Pb2+), and toxic compounds such as sodium azide (NaN3) are often present in wastewater along with aromatic compounds. Results showed activation of ECP and inhibition of HRP at 250 and 500 µM concentrations of Cd2+ and Pb2+. Treatment with 1 mM NaN3 led to 8.4%, 55.5%, and 11.0% inhibition in the activities of ECP, CRP, and HRP, respectively. Overall, our results suggest that elephant foot yam can be used as a rich and convenient source of peroxidase for various applications including wastewater remediation.
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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".