ReviewBioprocess and biosystems engineering2026
One-pot bioprocessing: dynamics and opportunities for integrated multiproduct recovery-a review.
Review in Bioprocess and biosystems engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
3 authors.
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Abstract
One-pot bioprocessing (OPB) represents an integrated strategy for biomass valorization within a single reactor rather than across sequential, isolated units. By consolidating formation-stage steps that are traditionally separated, OPB can lower capital intensity and reduce intermediate losses. It may also improve carbon utilization under specific conditions compared with conventional modular biorefineries optimized around a single product. Despite these advantages, OPB has yet to achieve robust scalability. This review examines the dynamic processes governing biomass fractionation into individual constituents and biocatalytic transformation in single-reactor systems. It synthesizes recent advances in metabolic engineering, process intensification, and dynamic flux control to assess how biological network behavior, thermodynamic feasibility, and reactor-scale transport phenomena jointly constrain feasible product combinations within integrated one-pot systems. Persistent limitations arising from metabolic trade-offs, physicochemical incompatibilities, and increasing control complexity are evaluated alongside emerging enabling strategies, including dynamic metabolic regulation, hybrid one-pot architectures, and digital bioprocess twins. This work provides a data-informed framework indicating that effective one-pot bioprocess design depends on aligning biological compatibility, control capacity, and operational robustness to support adaptive and anticipatory control of multiproduct formation dynamics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.