Screening, Identification and Degradation Characteristics of a PET Degrading Strain
Bibliographic record
Abstract
The aim was to obtain PET degradation strains, and elaborate its degradation mechanism. Based on “classification screening” strategy, enrichment cultivation was carried out by using plastic analogue dimethyl terephthalate (DET), and then spread onto separation plates of inorganic salt solid medium that PET particles as the sole nutrient source. Strain JWG-G2 was obtained from PET plastic samples in landfill, which has the ability to degrade PET particles. The strain was identified as Microbacterium by morphological observation, physiological, biochemical characteristics and 16S rRNA sequence analysis. Optimum conditions for growth of strain JWG-G2 at pH 7.0 and 30 ℃. The ester groups on the surface of PET particles were significantly reduced under treatment with strain JWG-G2, and its weight loss rate reached 1%. The strain JWG-G2 was able to degrade the PET intermediates monohydroxyethyl terephthalate (MHET) and bishydroxyethyl terephthalate polymers (BHET), and the degradation rate was 4.5% and 11.2%. The strain JWG-G2 has good degradation effect on PET particles and its intermediates.It can provide a theoretical basis for the studies of degradation mechanism.
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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 | 0.000 |
| 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".