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Lot of efforts are focused on integration, intensification, and continuous operation for decreased foot\u2010print, material, equipment, and increased productivity and product quality. These integrated continuous processes with on\u2010line analytics become complex processes, which requires automation, monitoring, and control of the operation, even unmanned or remote, which means bioprocesses with high level of automation or even autonomous capabilities. The development of these digital solutions becomes an important part of the process development and needs to be assessed early in the development chain. This work discusses a platform that allows fast development, advanced studies, and validation of digital solutions for integrated continuous downstream processes. It uses an open, flexible, and extendable real\u2010time supervisory controller, called Orbit, developed in Python. Orbit makes it possible to communicate with a set of different physical setups and on the same time perform real\u2010time execution. Integrated continuous processing often implies parallel operation of several setups and network of Orbit controllers makes it possible to synchronize complex process system. Data handling, storage, and analysis are important properties for handling heterogeneous and asynchronous data generated in complex downstream systems. Digital twin applications, such as advanced model\u2010based and plant\u2010wide monitoring and control, are exemplified using computational extensions in Orbit, exploiting data and models. Examples of novel digital solutions in integrated downstream processes are automatic operation parameter optimization, Kalman filter monitoring, and model\u2010based batch\u2010to\u2010batch control.<\/jats:p>","DOI":"10.1002\/bit.28501","type":"journal-article","created":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T07:48:19Z","timestamp":1689580099000},"page":"2378-2387","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Methodology for fast development of digital solutions in integrated continuous downstream processing"],"prefix":"10.1002","volume":"121","author":[{"given":"Niklas","family":"Andersson","sequence":"first","affiliation":[{"name":"Department of Chemical Engineering Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joaqu\u00edn Gomis","family":"Fons","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Madel\u00e8ne","family":"Isaksson","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon","family":"Tallvod","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Espinoza","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linnea","family":"Sj\u00f6kvist","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gusten Zandler","family":"Andersson","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3568-7706","authenticated-orcid":false,"given":"Bernt","family":"Nilsson","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,7,17]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/bs.ache.2022.03.004"},{"key":"e_1_2_8_3_1","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1002\/btpr.2434","article-title":"Design and control of integrated chromatography column sequences","volume":"33","author":"Andersson N.","year":"2017","journal-title":"Biotechnology Progress"},{"issue":"1","key":"e_1_2_8_4_1","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1002\/biot.201500223","article-title":"Optimal model\u2010based design of the twin\u2010column CaptureSMB process improves capacity utilization and productivity in protein A affinity capture","volume":"11","author":"Baur D.","year":"2016","journal-title":"Biotechnology Journal"},{"issue":"7","key":"e_1_2_8_5_1","doi-asserted-by":"crossref","first-page":"920","DOI":"10.1002\/biot.201500481","article-title":"Comparison of batch and continuous multi\u2010column protein A capture processes by optimal design","volume":"11","author":"Baur D.","year":"2016","journal-title":"Biotechnology Journal"},{"key":"e_1_2_8_6_1","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.jbiotec.2018.08.014","article-title":"Model assisted comparison of Protein A resins and multi\u2010column chromatography for capture processes","volume":"285","author":"Baur D.","year":"2018","journal-title":"Journal of Biotechnology"},{"key":"e_1_2_8_7_1","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.chroma.2014.07.041","article-title":"Modeling and robust pooling design of a preparative cation\u2010exchange chromatography step for purification of monoclonal antibody monomer from aggregates","volume":"1359","author":"Borg N.","year":"2014","journal-title":"Journal of Chromatography A"},{"key":"e_1_2_8_8_1","unstructured":"Espinoza D. 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