Fast Apple (<i>Malus</i> × <i>domestica</i>) and Tobacco (<i>Nicotiana tobacum</i>) Leaf Polyphenol Oxidase Activity Assay for Screening Transgenic Plants
Bibliographic record
Abstract
A spectrophotometric assay method for the analysis of polyphenol oxidase (PPO), in apple and tobacco leaves, has been optimized to increase efficiency in the screening of large numbers of transgenic plants. Crude protein extracts from leaf punches were prepared in a FastPrep homogenizer. The addition of Triton X-100 during extraction resulted in 44 and 74% increases in the PPO activity recovered, from apple and tobacco, respectively. The enzyme kinetics differed markedly between apple and tobacco. Apple leaf PPO was isolated in a latent state and was activated by the addition of SDS. In contrast, tobacco PPO activity was inhibited by SDS, particularly at acidic pH. Apple PPO showed a pronounced pH optimum around pH 6, whereas the pH profile for tobacco PPO was much flatter, with a broad optimum around pH 4. The calculated Km' value for apple PPO, using 4-methylcatechol as substrate, was 8.1, and for tobacco the Km was 4.3. The PPO reaction was strongly inhibited by tropolone, a Cu competitor, and restored by the addition of Cu2+. Several factors affecting variability in leaf PPO activity levels in plants are discussed.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".