During the past decade, pyrolysis routes have been identified as one of the most promising solutions for plastic waste management. However, the industrial adoption of such technologies has been limited and several unresolved blind spots hamper the commercial application of pyrolysis. Despite many years and efforts to explain pyrolysis models based on global kinetic approaches, recent advances in computational modelling such as machine learning and quantum mechanics offer new insights. For example, the kinetic and mechanistic information about plastic pyrolysis reactions necessary for scaling up processes is unravelling. This selective literature review reveals some of the foundational knowledge and accurate views on the reaction pathways, product yields, and other features of pyrolysis created by these new tools. Pyrolysis routes mapped by machine learning and quantum mechanics will gain more relevance in the coming years, especially studies that combine computational models with different time and scale resolutions governed by “first principles.” Existing research suggests that, as machine learning is further coupled to quantum mechanics, scientists and engineers will better predict products, yields, and compositions, as well as more complicated features such as ideal reactor design.

The rapid increase in the consumption of plastic caused by the abrupt growth in living standards had a noticeable effect on the plastic waste generated. Consequently, a significant number of solutions have been proposed to address this issue, with catalytic cracking under H₂ atmosphere being one of the most promising ones. In this study, the catalytic conversion of HDPE under a reductive atmosphere was evaluated by thermogravimetric analysis using large and medium pore zeolites (H-USY and H-ZSM-5, respectively) with distinct Si/Al ratios as catalytic systems. The effect of adding a metallic source to zeolites was also analyzed in this work. Results show that high temperatures are required to convert HDPE (433–480 °C). However, the energy requirements can be reduced by adding a zeolite catalyst to the process. In this case, the H-USY zeolite was the most efficient catalytic system for HDPE degradation, allowing for a reduction of around 169 °C to the onset degradation temperature. The accessibility of this large pore zeolite, together with its acidic character, seems to have a determining role on the reaction. The addition of a Ni metallic source to H-USY and H-ZSM-5 led to further reduction on energy inputs. Moreover, the liquid product distribution for H-USY was shifted to lighter fractions.

Improvements in Tissue Engineering and Regenerative Medicine (TERM)–type technologies have allowed the development of specific materials that, together with a better understanding of bone tissue structure, have provided new pathways to obtain biomaterials for bone tissue regeneration. In this manuscript, bioabsorbable materials are presented as emerging materials in tissue engineering therapies related to bone lesions because of their ability to degrade in physiological environments while the regeneration process is completed. This comprehensive review aims to explore the studies, published since its inception (2010s) to the present, on bioabsorbable composite materials based on PLA and PCL polymeric matrix reinforced with Mg, which is also bioabsorbable and has recognized osteoinductive capacity. The research collected in the literature reveals studies based on different manufacturing and dispersion processes of the reinforcement as well as the physicochemical analysis and corresponding biological evaluation to know the osteoinductive capacity of the proposed PLA/Mg and PCL/Mg composites. In short, this review shows the potential of these composite materials and serves as a guide for those interested in bioabsorbable materials applied in bone tissue engineering.