Evaluation of pathways for washing soluble solids

Ruslim, Franky; Hoffner, Bernhard; Nirschl, Hermann; Stahl, W.

doi:10.1016/j.cherd.2009.01.007

Cited by 19 publications

(26 citation statements)

References 4 publications

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“…Ethanol and isopropanol show similar properties in terms of solubility, density and viscosity, while isoamyl alcohol has a higher viscosity. As seen from Figure 4 ethanol and isopropanol exhibit similar cake resistances, while an increase of cake resistance is obtained using isoamyl alcohol 36 : hence the data confirm that faster flow rate and lower cake resistance are observed for less viscous solvents.…”

Section: Results and Discussion 41 Parameters Affecting Filtrationsupporting

confidence: 69%

“…[34][35] Drying performance and the impact of drying on product attributes is influenced by both particle and process properties including; input particle size distribution and crystal shape, the flow rate of the drying gas (typically nitrogen) through the cake, the residual solvent content and composition at the start of drying, the heat applied and the design and operation of the drying device. [10][11][12][13][14]36 Many researchers have reported and examined possible causes of agglomeration during drying. 33,36,37 Common hypotheses suggest that if the API solubility in the wash solvent is high and sufficient solvent is present then interparticle bridges of polycrystalline material are deposited at the points of contact between particles due to the evaporation of solvent saturated with dissolved API.…”

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confidence: 99%

“…[10][11][12][13][14]36 Many researchers have reported and examined possible causes of agglomeration during drying. 33,36,37 Common hypotheses suggest that if the API solubility in the wash solvent is high and sufficient solvent is present then interparticle bridges of polycrystalline material are deposited at the points of contact between particles due to the evaporation of solvent saturated with dissolved API. One approach to reduce agglomeration is therefore to tailor the wash solvent composition to minimize concentration of the solute during the drying operation.…”

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confidence: 99%

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Understanding effect of filtration and washing on dried product: Paracetamol case study

et al. 2020

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One of the key challenges that the pharmaceutical industry is trying to address is to maintain particle properties across the entire purification and isolation process. This research focuses on the effect of slurry properties, wash solvent, filtration and washing mechanisms on API agglomeration/granulation during the processes of downstream isolation and the impact on the physical properties of the product. In this investigation, each isolation step was analysed to identify factors that have the potential to affect the final product qualities using a multivariate statistical design of experiments approach.The factors which were most detrimental in increasing particle agglomeration, were found to be the particle size of the input material, the quantity and identity of wash solvent and the drying mode. Low boiling point aliphatic

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Section: Results and Discussion 41 Parameters Affecting Filtrationsupporting

confidence: 69%

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confidence: 99%

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confidence: 99%

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Understanding effect of filtration and washing on dried product: Paracetamol case study

et al. 2020

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“…Therefore, missing knowledge of the impacts on the final product within the overall process chain can lead to product batches out of specification, due to uncontrolled processes like agglomeration during drying. In order of an increasing purity demand in industry, the avoidance of uncontrolled agglomeration plays an important role in process optimization . Moreover, comprehensive process knowledge beyond crystallization offers the opportunity to obtain quality requirements which may not be directly achievable by crystallization.…”

Section: Introductionmentioning

confidence: 99%

Impact of agglomeration on crystalline product quality within the crystallization process chain

Terdenge

Wohlgemuth

2016

Crystal Research and Technology

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The quality of crystalline products, defined by e.g. purity or crystal size distribution (CSD), is primarily dominated by crystallization conditions but influenced by further downstream processes like solid-liquid separation and drying also. Through uncontrolled agglomeration within the crystallization process chain the purity or CSD can be negatively affected. Therefore, in context of process optimization, missing knowledge of the impacts on the final product can lead to product batches out of specification. To increase the understanding of agglomeration and to provide insight into the relevance of holistic process optimization the agglomeration behavior of L-alanine crystals is exemplarily quantified over the crystalline process chain. For the quantification the agglomeration degree (Ag) and the agglomeration degree distribution (AgD) are determined. The results show that the product quality achieved after crystallization is significantly affected by agglomeration during drying. Especially if washing after solid-liquid separation is omitted, a broadening of the CSD is observed. Moreover, the evaluation by the AgD indicates that the final product can be -despite similar characteristics of the CSD -highly different. Consequently, it can be concluded that the characterization of the product quality by the CSD alone is insufficient and the quantification of agglomeration is essential for process optimization.

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“…The characterization of the backwashing process follows a concept adapted from the scientific work on filter cake washing by Ruslim et al (2009). The wash diagram displays the relative residue r * of magnetic particles in the HGMS cell as a function of the wash ratio W. It enables the dimensionless characterization of the backwashing and therefore the prediction of a large-scale process.…”

Section: Theorymentioning

confidence: 99%

Design and Performance of a Pilot Scale High-Gradient Magnetic Filter Using a Mandhala Magnet and Its Application for Soy–Whey Protein Purification

Menzel

Amasifuen

Nirschl

2014

Upscaling of Bio-Nano-Processes

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The scalability of economic high-gradient magnetic separation (HGMS) technology is essential in order to demonstrate the feasibility of the concept. One of the means is the application of a permanent magnet with a hollow cylindrical volume made from identical magnetic blocks (e.g., Mandhala), another is the development of a High-Gradient Magnetic Filter (HGMF) with a new backwashing concept. The Mandhala (Magnetic Arrangement for Novel Discrete Halbach Layout) magnet produces a dipolar transversal magnetic field in the center of the bore and its usable volume is easily adaptable to the separation device's extensions. The chapter presents the pilot scale design of the Mandhala magnet and the HGMF as well as experimental performance tests using a water-magnetic beads model system. Subsequently, experiments using soy-whey as a real feedstock demonstrate the purification of the protein Bowman-Birk inhibitor (BBI), an agent against cancer and multiples sclerosis.

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Evaluation of pathways for washing soluble solids

Cited by 19 publications

References 4 publications

Understanding effect of filtration and washing on dried product: Paracetamol case study

Understanding effect of filtration and washing on dried product: Paracetamol case study

Impact of agglomeration on crystalline product quality within the crystallization process chain

Design and Performance of a Pilot Scale High-Gradient Magnetic Filter Using a Mandhala Magnet and Its Application for Soy–Whey Protein Purification

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