Evaluative Approach for Process Development

Cziner, Krisztina; Virkki-Hatakka, Terhi; Hurme, Markku; Турунен, Илкка

doi:10.1002/ceat.200500212

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…The performance of the process is relied on the decisions made during process development" [1]. Especially for pharmaceutical products the downstream process accounts for a major part of the production costs [2].…”

Section: Introductionmentioning

confidence: 99%

Purification performance index and separation cost indicator for experimentally based systematic downstream process development

Winkelnkemper

Schembecker

2010

Separation and Purification Technology

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Section: Introductionmentioning

confidence: 99%

Purification performance index and separation cost indicator for experimentally based systematic downstream process development

Winkelnkemper

Schembecker

2010

Separation and Purification Technology

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“…Downstream process development is one of the most important stages of Active Pharmaceutical Ingredient (API) manufac-turing due to its crucial effect both on the lifecycle and performance of the final manufacturing process. 40 Moreover, downstream processing is the major contributor to the production costs of APIs. 41 Conventional API purification steps include recrystallization, precipitation, solvent extraction, distillation, chromatography, adsorbents and resins.…”

Section: The Role Of Osn In Downstream Processingmentioning

confidence: 99%

Sustainability assessment of organic solvent nanofiltration: from fabrication to application

et al. 2014

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Can Organic Solvent Nanofiltration (OSN) be considered green? Is OSN greener than other downstream processing technologies? These are the two main questions addressed critically in the present review. Further questions dealt with in the review are as follows: What is the carbon footprint associated with the fabrication and disposal of membrane modules? How much solvent has to be processed by OSN before the environmental burden of OSN is less than the environmental burden of alternative technologies? What are the main challenges for improving the sustainability of OSN? How can the concept of Quality by Design (QbD) improve and assist the progress of the OSN field? Does the scale have an effect on the sustainability of membrane processes? The green aspects of OSN membrane fabrication, processes development and scale-up as well as the supporting concept of QbD, and solvent recovery technologies are critically assessed and future research directions are given, in this review. Gyorgy Szekely Gyorgy received his MSc degree in Chemical Engineering from the Technical University of Budapest, and he earned his PhD degree in Chemistry under Marie Curie Actions from the Technical University of Dortmund. He worked as an Early Stage Researcher in Hovione PharmaScience and an IAESTE Fellow at the University of Tokyo. He is currently a Research Associate in Imperial College London. His multidisciplinary professional background covers supramolecular chemistry, organic and analytical chemistry, molecular recognition, molecular imprinting, process development, nanofiltration and pharmaceutical impurity scavenging. He is the Secretary General of the Marie Curie Fellows Association and a Member of the Royal Society of Chemistry.

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“…Therefore, systematic process development based on identification of justified optima is essential for efficient utilization of time and resources. Nfor et al (2009) identified four types of process synthesis strategies applicable to chemical industries: heuristics or knowledge-based strategies (Cziner et al, 2005), optimization-based strategies (Steimel et al, 2013;Grossmann and Daichendt, 1996), high-throughput experimentation strategies (Bhambure et al, 2011;Schuldt and Schembecker, 2013) and a combination of the aforementioned strategies (Ahamed et al, 2006). Each approach has strengths and weaknesses as discussed elsewhere (Nfor et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Conceptual design or process synthesis in the early stage is thus viewed as the most important stage of process development (Cziner et al, 2005). Major decisions affecting the lifecycle of the process are made during development of the first process flowsheet.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of hydrometallurgical processes for valorization of secondary raw materials using ant colony optimization and key performance indicators

2015

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An algorithm-based method for synthesis of hydrometallurgical processes using limited amounts of experimental data is presented. The method enables simultaneous selection and sequencing of unit operations and optimization of operating parameters. An ant colony optimization (ACO) based algorithm is used to identify the most economic process alternative in an iterative manner. Key performance indicators are used for comparison of candidate processes: a purification performance index measures purity improvement and a separation cost indicator is used as an objective function in process optimization. Computational times were reduced significantly with the suggested method compared to an algorithm which evaluates all the possible process options. The practical applicability of the method to hydrometallurgy is demonstrated by investigating zinc recovery from argon oxygen decarburization dust with two alternative leaching methods and recovery of lanthanides from nickel metal hydride (NiMH) batteries. In the first zinc recovery process, 150 min normal batch leaching with 0.5 M H 2 SO 4 is used, and in the other one 270 min batch leaching with H 2 SO 4 is done by controlling the pH (N 3.0). In both cases the leachate is extracted with D2EHPA at pH 4.27, and stripped with circulating solution from zinc electrolysis. For lanthanides recovery the algorithm suggested a process in which the raw material is leached with 1.3 M HCl, the leachate is extracted with D2EHPA at pH 2.2, organic phase is stripped with 2.0 M HCl and 99% pure Ln-oxalates are precipitated with oxalic acid at pH 0.6. Compared to previously suggested process for the same raw material, the algorithm suggests operating the leaching step such that higher selectivity is achieved by sacrificing some yield. AbbreviationsACO ant colony optimization AOD argon oxygen decarburization CPU central processing unit EDR energy dissipation rate IRR internal rate of return KPI key performance indicator PPI purification performance index SCI separation cost indicator Notation A flow rate, m 3 /s c i concentration of contaminants, kg/m 3 E concentration of extractant, m 3 /m 3 K cost, item of expenses, €/kg k L specific cost of a leaching step, €/kg k pur,l specific cost of a purification step, €/kg L probability M number of components in a chemical system N number of ants in a colony n number of process steps P number of discrete values of operating parameters SL solvent loss in solvent extraction T concentration of a target metal in the system, kg/m 3 t b batch time in leaching, s U number of unit operations V L volume of leaching vessel, m 3 x purity Y yieldGreek symbols α the degree of importance of the pheromones ξ parameter used to control the scale of the global updating of the pheromone τ l,u,p amount of pheromone in a cell ρ pheromone decay factor Hydrometallurgy 153 (2015) 121-133

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Evaluative Approach for Process Development

Cited by 9 publications

References 15 publications

Purification performance index and separation cost indicator for experimentally based systematic downstream process development

Purification performance index and separation cost indicator for experimentally based systematic downstream process development

Sustainability assessment of organic solvent nanofiltration: from fabrication to application

Synthesis of hydrometallurgical processes for valorization of secondary raw materials using ant colony optimization and key performance indicators

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