Abstract
Enhancing the biochemical supply chain towards sustainable development requires more efforts to boost technology innovation at early design phases and avoid delays in industrial biotechnology growth. Such a transformation requires a comprehensive step-wise procedure to guide bioprocess development from laboratory protocols to commercialization. This study introduces a process design framework to guide research and development (R&D) through this journey, bearing in mind the particular challenges of bioprocess modeling. The method combines sustainability assessment and process optimization based on process efficiency indicators, technical indicators, Life Cycle Assessment (LCA), and process optimization via Water Regeneration Networks (WRN). Since many bioprocesses remain at low Technology Readiness Levels (TRLs), the process simulation module was examined in detail to account for uncertainties, providing strategies for successful guidance. The sustainability assessment was performed using the geometric mean-based sustainability footprint metric. A case study based on Chitosan production from shrimp exoskeletons was evaluated to demonstrate the method’s applicability and its advantages in product optimization. An optimized scenario was generated through a WRN to improve water management, then compared with the case study. The results confirm the existence of a possible configuration with better sustainability performance for the optimized case with a sustainability footprint of 0.33, compared with the performance of the base case (1.00).
Highlights
For the past decade, bio-based chemical production has grown globally [1]
Defining biomass properties can be performed using proximate, ultimate, and sulfate analyses [29]. This approach helps simulate thermo-biochemical processes like pyrolysis or gasification, allowing the system to be modeled based on the decomposition of elemental constituents (H2, O2, C, N, and S) under the minimization of the Gibbs free energy of formation [30]
A sustainability assessment was performed for chitosan production from shrimp exoskeletons based on the data generated in the previous step and the sustainability footprint
Summary
Bio-based chemical production has grown globally [1]. Bio-based innovations have offered potential alternatives to reduce the strong dependence on nonrenewable petrochemical sources, connected with environmental burdens [2]. A case study for the production of chitosan from shrimp exoskeletons is applied to test the proposed method and illustrate the new possibilities of using this new framework It will guide the R&D of upcoming bio-based projects and initiatives, including tasks to model, assess, and optimize bioprocesses. Tihtse vsacrailainbgil-iutyparnudleus nacsseirsttatinhteiepsr,oucnesdsetroitnsecwurcroenndt iptieornfosr(mfualnl-cseca(llea)b,-bsecaarlein).gTihnismtirnadnsititsiovnarailparboiclietyduarnedaudndcreerstsaeisnttihees,tuynpdicearlivtsarciuartrioenntspbeertfworemenanlacbe-(slcaabl-escparloec).eTssheiss (tlroawnsiTtiRoLnsa)l apnrodfcueldl uprlaenatddderseigssness(hthigehtyTpRicLasl).vFaoriraetimonersgbinegtwpereoncelsasbe-sscfoarlewphriocchesinsedsu(sltoriwal TdRatLas)isannodt yfueltl apvlaainlat bdlees, itghnesm(hetihgohdTtRakLess).dFaotra efrmomerglainbgorpatroorcyespsreostofocrolws,hpiiclhot-inscdaulestprilaalntdsa, taandis pnaottenytest taoveasitlaabbllies,hthtehemientvheondtotraykeosf dchateamfricoamlsl[a1b5o].ratory protocols, pilot-scale plants, and patents to esTtahbelifsohlltohweiinngvpenhtaosreyisofthceherimgoicraoluss[1si5m].ulation of the process technology using CAPE This stage requires data for process inventory, block diagrams, thermodynamic modeling, and downstream units [27]. Fig5uorfe 136 shows the procedure proposed in this study for dealing with bioprocess simulation
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