Your browser doesn't support javascript.
loading
Spectrophotometric-Based Assay to Quantify Relative Enzyme-Mediated Degradation of Commercially Available Bioplastics.
Hoekstra, Matthew; Smith, Myron L.
Affiliation
  • Hoekstra M; Institute of Biochemistry, Faculty of Science, Main Campus, Carleton University, Ottawa, ON K1S 5B6, Canada.
  • Smith ML; Department of Biology, Faculty of Science, Main Campus, Carleton University, Ottawa, ON K1S 5B6, Canada.
Polymers (Basel) ; 15(11)2023 May 24.
Article in En | MEDLINE | ID: mdl-37299238
We present a spectrophotometric-based assay to identify enzymes that degrade commercially available bioplastics. Bioplastics comprise aliphatic polyesters with hydrolysis-susceptible ester bonds and are proposed as a replacement for petroleum-based plastics that accumulate in the environment. Unfortunately, many bioplastics can also persist in environments including seawater and waste centers. Our assay involves an overnight incubation of candidate enzyme(s) with plastic, followed by A610 spectrophotometry using 96-well plates to quantify both a reduction in residual plastic and the liberation of degradation by-products. We use the assay to show that Proteinase K and PLA depolymerase, two enzymes that were previously shown to degrade pure polylactic acid plastic, promote a 20-30% breakdown of commercial bioplastic during overnight incubation. We validate our assay and confirm the degradation potential of these enzymes with commercial bioplastic using established mass-loss and scanning electron microscopy methods. We show how the assay can be used to optimize parameters (temperature, co-factors, etc.) to enhance the enzyme-mediated degradation of bioplastics. The assay endpoint products can be coupled with nuclear magnetic resonance (NMR) or other analytical methods to infer the mode of enzymatic activity. Overall, the screening capacity of the spectrophotometric-based assay was demonstrated to be an accurate method to identify bioplastic-degrading enzymes.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Polymers (Basel) Year: 2023 Document type: Article Affiliation country: Canada Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Polymers (Basel) Year: 2023 Document type: Article Affiliation country: Canada Country of publication: Switzerland