Condition optimization of real time PCR used in rapid detection of Penicillium expansum in apple juice concentrate
Bibliographic record
Abstract
In order to to detect Penicillium expansum rapidly in apple juice concentration,the real time PCR method was used to detect Penicillium expansum and the conditions were also optimized.Based on the primers from polygatacturonase gene,the effect of annealing temperature,primer concentration and template concentration of real time PCR on the amplification was evaluated.The result showed that the amplification temperature of Penicillium expansum DNA was 61 ℃ when using Lightcycler,primer concentration was between 0.20-0.40 μmol/L,and the template concentration had little effect on amplification.Using above mentioned parameters,the best amplification,product melting curve and clear bands could be obtained.The parameters to detect Penicillium expansum obtained in this study can be used in the detection of Penicillium expansum in apple juice production,it can be also used as a reference for real time PCR detection for other microbes.
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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".