Biochemical properties and biotechnological applications of microbial enzymes involved in the degradation of polyester-type plastics
Aneta Urbanek , Aleksandra Mirończuk , Alberto García-Martín , Ana Saborido , Isabel de la Mata , Miguel Arroyo
AbstractApplication of polyester-degrading enzymes should be considered as an eco-friendly alternative to chemical recycling due to the huge plastic waste disposal nowadays. Many hydrolases from several fungi and bacteria have been discovered and successfully evaluated for their activity towards different aliphatic polyesters (PHA, PBS, PBSA, PCL, PLA), aromatic polyesters (PET, PBT, PMT) as well as their co-polyesters (PBST, PBAT, PBSTIL). This revision gives an up-to-date overview on the main biochemical features and biotechnological applications of those reported enzymes which are able to degrade polyester-based plastics, including different microbial polyester depolymerases, esterases, cutinase-like enzymes and lipases. Summarized information includes available protein sequences with the corresponding accession numbers deposited in NCBI server, 3D resolved structures, and data about optimal conditions for enzymatic activity and stability of many of these microbial enzymes that would be helpful for researchers in this topic. Although screening and identification of new native polyester hydrolases from microbial sources is undeniable according to literature, we briefly highlight the importance of the design of improved enzymes towards recalcitrant aromatic polyesters through different approaches that include site-directed mutagenesis and surface protein engineering.
|Journal series||Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, [Biochimica et Biophysica Acta - Proteins and Proteomics], ISSN 1570-9639, (N/A 70 pkt)|
|Publication size in sheets||0.6|
|Keywords in English||Biodegradable plastics, Polyesters, Depolymerases, Lipases, Cutinase-like enzymes|
|ASJC Classification||; ; ;|
|Score||= 70.0, 31-03-2020, ArticleFromJournal|
|Publication indicators||= 0; = 1; : 2018 = 0.795; : 2018 = 2.54 (2) - 2018=2.703 (5)|
|Citation count*||2 (2020-07-02)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.