Development of a novel process towards an L-malate biorefinery using methanol as feedstock


Bastem G. M., SAYAR N. A., Brito L. F., Brautaset T., Virant D., SARIYAR AKBULUT B.

Chemical Engineering Research and Design, vol.212, pp.158-167, 2024 (SCI-Expanded, Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 212
  • Publication Date: 2024
  • Doi Number: 10.1016/j.cherd.2024.10.027
  • Journal Name: Chemical Engineering Research and Design
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Chimica, Communication Abstracts, Compendex, Environment Index, Food Science & Technology Abstracts, Greenfile, INSPEC, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.158-167
  • Keywords: Bacillus methanolicus, L-malate, Sensitivity analysis, SuperPro Designer, Techno-economic analysis, Uncertainty analysis
  • Marmara University Affiliated: Yes

Abstract

Malate is primarily obtained from fossil resources. However, growing environmental concerns are rerouting chemical manufacturing to biomanufacturing. Despite significant ‘discovery research’ efforts for sustainable malate production, a successful industrial implementation remains elusive. A novel methanol-based L-malate biomanufacturing process using the methylotrophic bacterium Bacillus methanolicus is designed and the relationship between R&D and techno-economic feasibility is assessed. Two scenarios are modeled and compared using SuperPro Designer®. First, with limited R&D success a 65 g/L titer is achievable. Then with further strain improvement and process development titer is increased to 100 g/L. Four independent design parameters; biomass formation, CO2 evolution, methanol loss and selling price are selected to analyze techno-economic metrics of interest (yield per batch, yield on methanol, unit production cost, and net present value). Sensitivity analysis reveals the dependence of techno-economic feasibility to R&D success, while uncertainty analysis quantifies how uncertainty in process development propagates into uncertainty in process performance.