Mechanical Properties of Recycled Polyethylene / Polypropylene Material with Embedded Pharmaceutical Waste
Bibliographic record
Abstract
The introduction of pharmaceuticals and personal care products (PPCPs) into the environment has recently gained significant interest [1,2].Pharmaceutical waste represents one source of waste that contributes to the accumulation of PPCPs in the environment [3,4].In a previous study, the use of mixed plastics composed primarily of polyethylene/polypropylene (PE/PP) reclaimed from municipal solid waste (MSW) streams was assessed for the immobilization of expired pharmaceuticals [5].In this study, the mechanical properties of matrix materials composed of reclaimed low density PE (LDPE), high density PE (HDPE), and PP and other plastics are determined.The potential use of the resulting materials depends on the pharmaceuticals leaching behavior and the mechanical properties of the end product.It was recently shown that the leaching profile reveals the recycled plastic material provide an efficient barrier the leaching of embedded.PE/PP boards were tested for tension, compression, bending, and water absorption according to relevant ASTM standards D638, D695, D790, and D570, respectively.Two mixed formulations were tested: a light board composed of 65% (LDPE), 10% (HDPE), and 25% of PP and other plastics, and a heavy board composed of 75% LDPE, 20% HDPE, and 5% of PP and other plastics.The tensile strength testing results reveal an average of 2.9 ± 0.23 MPa for the lighter board, and 4.92 ± 2.2 MPa for the heavier board.In the case of compressive strength, the lighter board revealed an average of 4.55 ± 1.24 MPa , and 7.78 ± 0.81 MPa for the heavier board and in the case of flexural strength results revealed an average of 6.64 ± 0.64 MPa for the lighter board, and 22.8 ± 2.31 MPa for the heavier board.These findings show the matrix materials have promising potential to be used in construction applications, and provide a sustainable option for reducing plastics in MSW streams, as well as providing a potential solution for the treatment of expired pharmaceutical waste.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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".