Advances in Bioprocess Monitoring and Control Systems

dc.contributor.authorKumar, R.
dc.contributor.authorChattaraj, S.
dc.contributor.authorGökhan Boyno, G.
dc.contributor.authorAlloun, W.
dc.contributor.authorAndjelković, Snežana
dc.contributor.authorŽivković, S.
dc.contributor.authorGuerra Sierra, B. E.
dc.contributor.authorMitra, D.
dc.date.accessioned2025-12-02T10:18:31Z
dc.date.available2025-12-02T10:18:31Z
dc.date.issued2025-09-05
dc.description.abstractThe bioprocess monitoring market, valued at $12.3 billion in 2023, is expected to grow at a CAGR of 9.1% to reach $20.5 billion by 2030. This growth is driven by biosensors, machine learning, and Industry 4.0. Innovations like Raman spectroscopy and NMR have improved metabolite profiling accuracy, leading to enhanced process control. Artificial intelligence-driven models have reduced batch variability by 20%, while digital twin technologies have reduced process development time by 25%. Automated fed-batch strategies have increased recombinant protein yields by 15-25%, while microfluidic bioreactors enable high-throughput screening with a 5-fold reduction in reagent costs. Soft-sensor technologies have adjusted metabolic flux projections by 35%, reducing process variation. IoT-enabled bioprocessing has reduced manual interventions by 40%, improving operational effectiveness.
dc.identifier.doi10.4018/979-8-3373-2873-7.ch005
dc.identifier.isbn9798337328737
dc.identifier.isbn9798337328751
dc.identifier.urihttps://rifoc.ikbks.com/handle/123456789/239
dc.language.isoen
dc.publisherIGI Global Scientific Publishing
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.sourceIndustrial Applications for Bioprocessing and Biomanufacturing
dc.titleAdvances in Bioprocess Monitoring and Control Systems
dc.typebookPart

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