Synthetic bacterial consortium for degradation of plastic pyrolysis oil waste

preprint OA: closed
📄 Open PDF View at publisher

Abstract

The plasic crisis is ominipresent, from littering macroplastic to reports that document plastic in every niche of this planet, including the human body. In order to achieve higher recycling quotas, especially of mixed plastic waste, pyrolysis seems to be a viable option. However, depending on the process parameters, plastic pyrolysis oil waste is encountered, which is difficult to valorize, due to the enormous spread of the molecules included. To reduce the molecular heterogeneity, we here artificially compounded, monitored, and optimized the performance of a bacterial consortium, which has the ability to tolerate organic pollutants and use them as energy and carbon sources for their own metabolic activity. The primary constituents of the here used plastic pyrolysis oil waste (PPOW) were alkanes and ε-caprolactam. The bacterial community exhibited noteworthy efficacy in eliminating alkanes of diverse chain lengths ranging from 71% to 100%. Additionally, within 7-days, the microbial community demonstrated a removal efficiency surpassing 50% for various aromatic hydrocarbons, along with complete eradication of ε-caprolactam and naphthalene. Besides, a back-propagation (BP) neural network method is applied to evaluate O 2 consumption as a measure of microbial activity. The insights gained were used to build a model, which is able to predict O 2 depletion in long-time experiments and other experimental conditions. The results are discussed in the context of a developing (open) circular plastic economy. Graphical abstract Highlight Synthetic bacterial communities are used to remove plastic hydrolysis oil waste The optimized biphase reaction system can remove the majority of pollutants The biodegradation process can be monitored in a real-time bioprocess software Neural network techniques are used to model and predict the removal process

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-06-13T06:42:57.164913+00:00