Biochemical characterization of Burkina red radish (<i>Raphanus sativus</i>) peroxidase
Bibliographic record
Abstract
Objectives: Peroxidases (POX), isoenzymes were purified to homogeneity from bulbs of Raphanus sativus (Radish) grown in Burkina Faso and characterized for use as an alternative source of POX for biotechnological applications.Methodology and Results: The enzymes were purified using cation exchange, anion-exchange and hydrophobic interaction chromatography. Two isoperoxidases, cationic POX1 and anionic POX2, were isolated and purified 18.5 and 27.2 fold, respectively. Purified enzymes were found to be monomeric proteins with molecular masses of 70 kDa and 47 kDa for POX1 and POX2, respectively, as determined by SDS-PAGE. The effect of pH and temperature was done using guaicol as a substrate. The optimal pH of the both purified POX was 5.6 and 80 % of its activity was retained at pH values between 4.0–8.0 after incubation for 2 h, but POX2 appeared to be highly stable than POX1. POX1 and POX2 had optimum temperatures of activity at 35° and 40°C, respectively. Activities of these isoenzymes were determined using different phenolic substrates in the presence and absence of ionic effectors. The results show that both POX activities were activated by bivalent cations such as Mg2+ and Ca2+ but were inhibited by K+, Na+, Zn2+, EDTA and reducing compounds. While Ba2+ is an activator for POX2, it had no effect on POX1. They oxidize all the phenolic compounds used. The greatest rate was obtained with ABTS and guaiacol, for POX1 and POX2, respectively.Conclusions and application of findings: POXs oxidize a wide range of phenolic substrates and have high stability at a wide range of pH. These properties make these enzymes potential biotechnological tools. They could be use in industrial applications to produce food dyes, phenolic resins from natural phenolic compounds or in the construction of biosensors and kits for analyses and diagnostics. They could play also an important role in the oxidation of phenolic compounds in polluted water. This is interesting because it could be useful in finding solutions to the thorny problem of recalcitrant phenolic compounds that resist to conventional methods for bioremediation.Keywords: peroxidase, purification, characterization, Raphanus sativus, phenolic compound
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".