Polyphenol Oxidase in Pawpaw (Asimina triloba [L.] Dunal) Fruit Pulp from Different Varieties
Bibliographic record
Abstract
Pawpaw (Asimina triloba L. Dunal) is a tree fruit from the tropical Annonaceae family. Pawpaw currently has very limited commercial production because of its high perishability. Polyphenol oxidase (PPO) is responsible for enzymatic browning in pawpaw pulp. The objective of this research is to characterize PPO extracted from different pawpaw varieties. With respect to PPO activity, six of the varieties (Taytwo, Rebecca’s Gold, NC-1, Overleese, Rappahannock, and Green River Belle) exhibited PPO activity that was statistically higher than Quaker’s Delight and Lynn’s Favorite. The other four varieties (SAA Zimmerman, Shenendoah, KSU-Atwood, IXL) exhibited PPO activity that was not significantly different from each other or Quaker’s Delight and Lynn’s Favorite, but were significantly lower than Taytwo, Rebecca’s Gold, and NC-1. Kinetic parameters (Vmax, Km) and their ratio can be used to relate enzyme velocity with substrate affinity. Varieties that exhibited a high ratio, i.e. a very active enzyme due to a high Vmax and/or a low Km, are Rebecca’s Gold, Taytwo, NC-1, and KSU-Atwood). The results presented indicate that certain varieties exhibit conditions that suggest PPO could have a lower inherent impact on tissue browning, especially Lynn’s Favorite, Green River Belle, IXL, SAA Zimmerman, and Overleese. On the other hand, certain varieties (Taytwo, Rebecca’s Gold, NC-1, and perhaps KSU Atwood) exhibit PPO activity, Vmax, and Km values that suggest inherently high PPO activity and thus increased potential for browning. Overall, understanding PPO activity may help to explain post-harvest discoloration of pawpaw pulp and aid the commercial selection of more shelf-stable varieties.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".