| Literature DB >> 35160364 |
Yvan Baldera-Moreno1, Valentina Pino2, Amelia Farres3, Aparna Banerjee4, Felipe Gordillo2, Rodrigo Andler2.
Abstract
The strong environmental impact caused by plastic pollution has led research to address studies from different perspectives. The mathematical modeling of the biodegradation kinetics of solid materials is a major challenge since there are many influential variables in the process and there is interdependence of microorganisms with internal and external factors. In addition, as solid substrates that are highly hydrophobic, mass transfer limitations condition degradation rates. Some mathematical models have been postulated in order to understand the biodegradation of plastics in natural environments such as oceans. However, if tangible and optimizable solutions are to be found, it is necessary to study the biodegradation process under controlled conditions, such as using bioreactors and composting systems. This review summarizes the biochemical fundamentals of the main plastics (both petrochemical and biological origins) involved in biodegradation processes and combines them with the main mathematical equations and models proposed to date. The different biodegradation studies of plastics under controlled conditions are addressed, analyzing the influencing factors, assumptions, model developments, and correlations with laboratory-scale results. It is hoped that this review will provide a comprehensive overview of the process and will serve as a reference for future studies, combining practical experimental work and bioprocess modeling systems.Entities:
Keywords: microbial degradation; modeling; plastic biodegradation; plastic pollution; polymer degradation
Year: 2022 PMID: 35160364 PMCID: PMC8840406 DOI: 10.3390/polym14030375
Source DB: PubMed Journal: Polymers (Basel) ISSN: 2073-4360 Impact factor: 4.329
Figure 1Chemical structure of petroleum-based and biological-based plastics.
Methodologies used to evaluate the biodegradation of plastic materials.
| Group | Methodology |
|---|---|
| CO | CMR: Cumulative measurement respirometry |
| GMR: Gravimetric measurement respirometry | |
| DMR: Direct measurement respirometry | |
| Oxitop | |
| Mass loss | GPC: Gel permeation chromatography |
| SEC: Size exclusion chromatography | |
| TGA: Thermogravimetric analysis | |
| Experimental mass loss | |
| Disintegration degree | |
| Spectroscopy | XPS: X-ray photoelectron spectroscopy |
| FTIR: Fourier transformation infrared | |
| NMR: Nuclear magnetic resonance | |
| NIR: Near infrared | |
| Microscopy analysis | SEM: Scanning electron microscopy |
| AFM: Atomic force microscope | |
| Photographs |
Analysis of plastic biodegradation studies in composting systems.
| Author | Plastic | Days | T (°C) | BD (%) | Methodology |
|---|---|---|---|---|---|
| [ | CFP | 72 | 30 ± 2 | 100 | Mass loss |
| MB | 72 | 30 ± 2 | 26.9 | SEC, DSC | |
| EPI | 100 | 30 ± 2 | 0.02 | NMR, FTIR | |
| [ | PLA | 90 | 58 ± 2 | 63.6 | Mass loss |
| Disint. degree | |||||
| [ | PLA | 90 | S.C. | 5 | Mass loss |
| Mater-Bi | 90 | S.C. | 5 | ||
| [ | PLA | 100 | 58 ± 2 | 90 | CO |
| SEC, GPC | |||||
| [ | PHA | 660 | S.C. | 70 | CO |
| Plastarch | 660 | S.C. | 30 | DMR, SEM | |
| [ | PLA | 35 | 58 ± 2 | 90 | Desint. degree |
| PHB | 35 | 58 ± 2 | 90 | SEM, TGA, FTIR | |
| [ | PLA | 14 | 58 ± 2 | 90 | Disint. degree |
| [ | Starch-based | 90 | 58 ± 2 | 85 | Disint. Degree |
| [ | PLA | 90 | 58 ± 2 | 90 | Disint. degree, SEM |
| [ | Mater-Bi | 55 | S.C. | 80 | Mass loss, FTIR |
S.C.: Simulated Composting in two temperature stages (thermophilic phase 58–65 °C and mesophilic phase 25–40 °C).
Analysis of plastic biodegradation studies in stirred bioreactors.
| Author | Plastic | Days | T (°C) | BD (%) | Methodology |
|---|---|---|---|---|---|
| [ | Mater-Bi | 28 | 30 ± 2 | 42.8 | Oxitop |
| PCL | 28 | 30 ± 2 | 34.8 | Mass loss | |
| PE | 28 | 30 ± 2 | 4.1 | FTIR, NMR | |
| PLA | 28 | 30 ± 2 | 3.7 | SEC, DSC | |
| [ | PLA | 30 | 65 | 95 | GMR, GPC |
| [ | Starch-based | 56 | 58 ± 2 | 73.11 | CMR, Photographs |
| [ | Starch-based | 90 | 58 ± 2 | 87 | DSC, CMR |
| PLA | 90 | 58 ± 2 | 55 | SEM | |
| [ | PLA | 80 | 58 ± 2 | 60 | DMR, TGA, SEM |
| [ | PHB | 39 | 58 ± 2 | 81 | SEM, FTIR |
| [ | MCE | 90 | 58 ± 2 | 94.34 | CO |
| PLA | 45 | 58 ± 2 | 85.75 | SEM | |
| PE | 90 | 58 ± 2 | 0.56 | ||
| PE/starch | 90 | 58 ± 2 | 11.50 | ||
| [ | PHB | 110 | S.C. | 79.7 | FTIR, SEM |
| Desint. degree | |||||
| [ | PLA | 110 | 50 | 70 | Desint. degree, CMR |
| [ | PHB | 30 | 55 | 70 | GMR, FTIR, SEM |
| PLA | 30 | 55 | 70 | ||
| [ | PLA | 130 | 58 ± 2 | 90 | CO |
| CMR, TGA | |||||
| Desint. degree | |||||
| [ | Mater-Bi | 28 | 28 | 56.4 | CO |
| MCE | 28 | 28 | 44.4 |
S.C.: Simulated Composting in two temperature stages (thermophilic phase 58–65 °C and mesophilic phase 25–40 °C).
Main mathematical models describing the biodegradation of petroleum- and bio-based plastics.
| Reference | Plastic | Model | Discussion |
|---|---|---|---|
| [ | PHB |
| This paper studied the influence of C/N in the production of PHB. |
| [ | MCE, | This paper studied the KM of the evolution of CO | |
| PLA, | |||
| PE, | |||
| PE/starch |
| ||
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| |||
|
| |||
| [ | PET, |
| The BD of PET by the |
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| species was evaluated using Arrhenius and M–M models. | ||
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| |||
| [ | Mater-Bi |
| This study concluded that the rate of BD |
| MCE | in the soil is affected by temperature. | ||
| [ | PP, PVC, |
| Plastic degradation rates and pathways under various conditions were studied. |
| PET, PS, | |||
| H and LDPE | |||
| [ | PS, EPDM |
| This study concluded that selecting the wrong KM affects BD predictions. |
| PET, PLA |
| ||
| [ | PI |
| This study showed that the thermal decomposition of natural rubber is predicted. |
| [ | Commercial |
| BD methods of different plastic materials were compared. |
| plastics |
| ||
| Cellulosa |
| ||
| [ | MB, PBAT, |
| Bioplastic degradation during the thermophilic phase was studied. |
| PLA, LDPE |
|