[{"_id":"13315","oa":"1","publication":"Chemie Ingenieur Technik","main_file_link":[{"open_access":"1"}],"title":"Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture","intvolume":"        98","author":[{"first_name":"Selina","full_name":"Uhlendorff, Selina","last_name":"Uhlendorff","id":"68713","orcid":"https://orcid.org/0000-0002-0502-8032"},{"full_name":"Odefey, Ulrich","last_name":"Odefey","id":"74218","first_name":"Ulrich"},{"first_name":"Björn","full_name":"Frahm, Björn","id":"45666","last_name":"Frahm"},{"first_name":"Miriam","id":"64952","last_name":"Pein-Hackelbusch","full_name":"Pein-Hackelbusch, Miriam","orcid":"0000-0002-7920-0595"}],"publication_identifier":{"issn":["0009-286X"],"eissn":["1522-2640"]},"place":"Weinheim","citation":{"havard":"S. Uhlendorff, U. Odefey, B. Frahm, M. Pein-Hackelbusch, Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture, Chemie Ingenieur Technik. 98 (2025) 57–68.","ufg":"<b>Uhlendorff, Selina u. a.</b>: Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture, in: <i>Chemie Ingenieur Technik</i> 98 (2025), H. 1–2,  S. 57–68.","chicago-de":"Uhlendorff, Selina, Ulrich Odefey, Björn Frahm und Miriam Pein-Hackelbusch. 2025. Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. <i>Chemie Ingenieur Technik</i> 98, Nr. 1–2: 57–68. doi:<a href=\"https://doi.org/10.1002/cite.70048\">10.1002/cite.70048</a>, .","short":"S. Uhlendorff, U. Odefey, B. Frahm, M. Pein-Hackelbusch, Chemie Ingenieur Technik 98 (2025) 57–68.","apa":"Uhlendorff, S., Odefey, U., Frahm, B., &#38; Pein-Hackelbusch, M. (2025). Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. <i>Chemie Ingenieur Technik</i>, <i>98</i>(1–2), 57–68. <a href=\"https://doi.org/10.1002/cite.70048\">https://doi.org/10.1002/cite.70048</a>","mla":"Uhlendorff, Selina, et al. “Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture.” <i>Chemie Ingenieur Technik</i>, vol. 98, no. 1–2, 2025, pp. 57–68, <a href=\"https://doi.org/10.1002/cite.70048\">https://doi.org/10.1002/cite.70048</a>.","van":"Uhlendorff S, Odefey U, Frahm B, Pein-Hackelbusch M. Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. Chemie Ingenieur Technik. 2025;98(1–2):57–68.","ama":"Uhlendorff S, Odefey U, Frahm B, Pein-Hackelbusch M. Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. <i>Chemie Ingenieur Technik</i>. 2025;98(1-2):57-68. doi:<a href=\"https://doi.org/10.1002/cite.70048\">10.1002/cite.70048</a>","ieee":"S. Uhlendorff, U. Odefey, B. Frahm, and M. Pein-Hackelbusch, “Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture,” <i>Chemie Ingenieur Technik</i>, vol. 98, no. 1–2, pp. 57–68, 2025, doi: <a href=\"https://doi.org/10.1002/cite.70048\">10.1002/cite.70048</a>.","chicago":"Uhlendorff, Selina, Ulrich Odefey, Björn Frahm, and Miriam Pein-Hackelbusch. “Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture.” <i>Chemie Ingenieur Technik</i> 98, no. 1–2 (2025): 57–68. <a href=\"https://doi.org/10.1002/cite.70048\">https://doi.org/10.1002/cite.70048</a>.","bjps":"<b>Uhlendorff S <i>et al.</i></b> (2025) Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. <i>Chemie Ingenieur Technik</i> <b>98</b>, 57–68.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Uhlendorff, Selina</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. In: <i>Chemie Ingenieur Technik</i> Bd. 98. Weinheim, Wiley (2025), Nr. 1–2, S. 57–68"},"date_created":"2025-12-08T07:26:52Z","language":[{"iso":"eng"}],"volume":98,"publication_status":"published","keyword":["Cell density","Cell enumeration","Cell viability","CHO-K1"],"abstract":[{"text":"Determining cell density and viability with (semi‐)automated methods enables rapid cell cultivation analysis. However, scientific validation is required, typically by comparing results to manual counting. To address this, we present a method to evaluate and compare two cell counting methods exemplified by a manual and a semi‐automated method (Countstar BioTech). Experiments followed validation parameters aligned with the International Council for Harmonization (ICH) Q2(R1) guideline and a dilution series design based on ISO 20391‐2:2019. Both the semi‐automated and manual methods showed comparable specificity and linearity for Chinese hamster ovary (CHO)‐K1 cells. The semi‐automated method exhibited superior repeatability for total cell density, whereas cell viability results showed no significant difference.","lang":"eng"}],"page":"57–68","user_id":"45666","year":"2025","department":[{"_id":"DEP4029"},{"_id":"DEP4028"}],"status":"public","issue":"1-2","doi":"10.1002/cite.70048","date_updated":"2026-03-27T17:14:42Z","quality_controlled":"1","type":"scientific_journal_article","publisher":"Wiley"},{"main_file_link":[{"url":"https://www.biorxiv.org/content/10.1101/2024.05.30.596619v1","open_access":"1"}],"date_updated":"2025-07-29T13:23:30Z","doi":"10.1101/2024.05.30.596619","title":"Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters","citation":{"chicago":"Ramm, Selina, Ulrich Odefey, Björn Frahm, and Miriam Pein-Hackelbusch. “Semi-Automated vs. Manual: Comparative Study of Cell Culture Counting Methods Using Validation Parameters.” bioRxiv, 2024. <a href=\"https://doi.org/10.1101/2024.05.30.596619\">https://doi.org/10.1101/2024.05.30.596619</a>.","bjps":"<b>Ramm S <i>et al.</i></b> (2024) Semi-Automated vs. Manual: Comparative Study of Cell Culture Counting Methods Using Validation Parameters.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters, bioRxiv (2024)","ama":"Ramm S, Odefey U, Frahm B, Pein-Hackelbusch M. Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters. Published online 2024. doi:<a href=\"https://doi.org/10.1101/2024.05.30.596619\">10.1101/2024.05.30.596619</a>","van":"Ramm S, Odefey U, Frahm B, Pein-Hackelbusch M. Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters. bioRxiv; 2024.","ieee":"S. Ramm, U. Odefey, B. Frahm, and M. Pein-Hackelbusch, “Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters.” bioRxiv, 2024. doi: <a href=\"https://doi.org/10.1101/2024.05.30.596619\">10.1101/2024.05.30.596619</a>.","ufg":"<b>Ramm, Selina u. a.</b>: Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters, o. O. 2024.","chicago-de":"Ramm, Selina, Ulrich Odefey, Björn Frahm und Miriam Pein-Hackelbusch. 2024. Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters. bioRxiv. doi:<a href=\"https://doi.org/10.1101/2024.05.30.596619\">10.1101/2024.05.30.596619</a>, .","short":"S. Ramm, U. Odefey, B. Frahm, M. Pein-Hackelbusch, (2024).","apa":"Ramm, S., Odefey, U., Frahm, B., &#38; Pein-Hackelbusch, M. (2024). <i>Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters</i>. bioRxiv. <a href=\"https://doi.org/10.1101/2024.05.30.596619\">https://doi.org/10.1101/2024.05.30.596619</a>","mla":"Ramm, Selina, et al. <i>Semi-Automated vs. Manual: Comparative Study of Cell Culture Counting Methods Using Validation Parameters</i>. bioRxiv, 2024, <a href=\"https://doi.org/10.1101/2024.05.30.596619\">https://doi.org/10.1101/2024.05.30.596619</a>.","havard":"S. Ramm, U. Odefey, B. Frahm, M. Pein-Hackelbusch, Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters, (2024)."},"publication_status":"published","publisher":"bioRxiv","date_created":"2025-01-29T13:48:31Z","language":[{"iso":"eng"}],"author":[{"orcid":"https://orcid.org/0000-0002-0502-8032","first_name":"Selina","full_name":"Ramm, Selina","id":"68713","last_name":"Ramm"},{"first_name":"Ulrich","id":"74218","last_name":"Odefey","full_name":"Odefey, Ulrich"},{"first_name":"Björn","full_name":"Frahm, Björn","id":"45666","last_name":"Frahm"},{"id":"64952","last_name":"Pein-Hackelbusch","full_name":"Pein-Hackelbusch, Miriam","first_name":"Miriam","orcid":"0000-0002-7920-0595"}],"type":"preprint","abstract":[{"lang":"eng","text":"Determining cell density and cell viability is fundamental for any cell cultivation process. In addition to the manual counting method using hemocytometers, (semi-)automated methods offer advantages such as lower variability and shortened analysis times. However, these methods should provide at least comparable results to the manual method, which is why a comparison of methods is essential. We conducted a dilution series experimental design according to ISO 20391-2:2019 and compared two cell counting methods based on validation parameters aligned with the ICH Q2(R1) guideline. Regarding specificity and linearity, the manual (hemocytometer) and semi-automated (Countstar BioTech®) method exhibited similar results in the two evaluated characteristics total cell density and cell viability of CHO-K1 cells. Regarding repeatability of determining total cell density, the semi-automated method achieved significant (α = 0.05) better results with average relative standard deviations of < 6 %, than the manual method with average relative standard deviations of > 9 %. Concerning repeatability of the cell viability measurement, no significant difference between the two methods were shown. These results show the suitabililty of the dilution series experimental design. For the applied example, they indicate that the investigated semi-automated method is an appropriate alternative to the manual method."}],"_id":"12400","oa":"1","status":"public","user_id":"83781","year":"2024","department":[{"_id":"DEP4000"},{"_id":"DEP4028"},{"_id":"DEP4014"}]},{"publication_status":"published","language":[{"iso":"eng"}],"date_created":"2026-02-05T13:13:46Z","citation":{"chicago":"Babczyk, Patrick, Ulrich Odefey, and Edda Tobiasch. <i>Testing the Potency of Extracellular Vesicles Derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay</i>, 2024.","bjps":"<b>Babczyk P, Odefey U and Tobiasch E</b> (2024) <i>Testing the Potency of Extracellular Vesicles Derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay</i>. .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Babczyk, Patrick</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span> ; <span style=\"font-variant:small-caps;\">Tobiasch, Edda</span>: <i>Testing the Potency of Extracellular Vesicles derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay</i>, 2024","ama":"Babczyk P, Odefey U, Tobiasch E. <i>Testing the Potency of Extracellular Vesicles Derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay</i>.; 2024.","van":"Babczyk P, Odefey U, Tobiasch E. Testing the Potency of Extracellular Vesicles derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay. 2024.","ieee":"P. Babczyk, U. Odefey, and E. Tobiasch, <i>Testing the Potency of Extracellular Vesicles derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay</i>. 2024.","ufg":"<b>Babczyk, Patrick/Odefey, Ulrich/Tobiasch, Edda</b>: Testing the Potency of Extracellular Vesicles derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay, o. O. 2024.","chicago-de":"Babczyk, Patrick, Ulrich Odefey und Edda Tobiasch. 2024. <i>Testing the Potency of Extracellular Vesicles derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay</i>.","short":"P. Babczyk, U. Odefey, E. Tobiasch, Testing the Potency of Extracellular Vesicles Derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay, 2024.","mla":"Babczyk, Patrick, et al. <i>Testing the Potency of Extracellular Vesicles Derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay</i>. 2024.","apa":"Babczyk, P., Odefey, U., &#38; Tobiasch, E. (2024). <i>Testing the Potency of Extracellular Vesicles derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay</i>. 1. Conference on Targeting Extracellular Vesicles, Mitochondria and Microbiota: Crucial Impact, Malta.","havard":"P. Babczyk, U. Odefey, E. Tobiasch, Testing the Potency of Extracellular Vesicles derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay, 2024."},"author":[{"full_name":"Babczyk, Patrick","last_name":"Babczyk","first_name":"Patrick"},{"first_name":"Ulrich","id":"74218","last_name":"Odefey","full_name":"Odefey, Ulrich"},{"full_name":"Tobiasch, Edda","last_name":"Tobiasch","first_name":"Edda"}],"type":"conference_speech","title":"Testing the Potency of Extracellular Vesicles derived from Differentiating Mesenchymal Stem Cells with an Adapted Wound Assay","date_updated":"2026-02-10T12:33:36Z","status":"public","department":[{"_id":"DEP4028"}],"user_id":"83781","year":"2024","conference":{"location":"Malta","start_date":"2024-10-17","end_date":"2024-10-18","name":"1. Conference on Targeting Extracellular Vesicles, Mitochondria and Microbiota: Crucial Impact"},"abstract":[{"text":"Extracellular vesicles (EVs) have been recognized as major signaling mediators in a variety of physiological and pathophysiological conditions. Their paracrine effects are promoted via bioactive molecules. However an essential first step before a potential application of EVs in regenerative medicine is a batch-to-batch reproducibility of their therapeutic efficacy. For this a qualitative and quantitative testing of their potency is a necessary step. An adapted in vitro wound assay will be presented using a newly developed scratch machine and a computational-aided read-out. One of the major reasons for the onset of arteries clotting is gaining weight. During the development towards adipocytes, differentiating mesenchymal stem cells are highly metabolically active, which can activate primary endothelial cells (ECs).This is a crucial first step towards artery clotting. These activated ECs migrate in the adapted wound assay, which can be evaluated. We are able to count quantitatively the migrated ECs, monitor their migration behavior, e.g. speed, and isolate the migrated ECs to investigate their altered signal transduction pathways by comparing them with the non-migrating ECs. By evaluating the migration behavior, we record functional testing of EV potency, which was better than what could be archived using a Boyden Chamber.","lang":"eng"}],"_id":"13359"},{"title":"A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions","main_file_link":[{"url":"https://www.mdpi.com/1999-4923/15/8/2153","open_access":"1"}],"publication_identifier":{"eissn":["1999-4923 "]},"isi":"1","author":[{"id":"79527","last_name":"Fulek","full_name":"Fulek, Ruwen","first_name":"Ruwen"},{"id":"68713","last_name":"Ramm","full_name":"Ramm, Selina","first_name":"Selina","orcid":"https://orcid.org/0000-0002-0502-8032"},{"first_name":"Christian","full_name":"Kiera, Christian","last_name":"Kiera"},{"first_name":"Miriam","id":"64952","last_name":"Pein-Hackelbusch","full_name":"Pein-Hackelbusch, Miriam","orcid":"0000-0002-7920-0595"},{"first_name":"Ulrich","full_name":"Odefey, Ulrich","id":"74218","last_name":"Odefey"}],"intvolume":"        15","language":[{"iso":"eng"}],"date_created":"2023-08-15T10:48:15Z","volume":15,"publication_status":"published","pmid":"1","place":"Basel","citation":{"ama":"Fulek R, Ramm S, Kiera C, Pein-Hackelbusch M, Odefey U. A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. <i>Pharmaceutics</i>. 2023;15(8). doi:<a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>","van":"Fulek R, Ramm S, Kiera C, Pein-Hackelbusch M, Odefey U. A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. Pharmaceutics. 2023;15(8).","ieee":"R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, and U. Odefey, “A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions,” <i>Pharmaceutics</i>, vol. 15, no. 8, Art. no. 2153, 2023, doi: <a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>.","chicago":"Fulek, Ruwen, Selina Ramm, Christian Kiera, Miriam Pein-Hackelbusch, and Ulrich Odefey. “A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions.” <i>Pharmaceutics</i> 15, no. 8 (2023). <a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>.","bjps":"<b>Fulek R <i>et al.</i></b> (2023) A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions. <i>Pharmaceutics</i> <b>15</b>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Fulek, Ruwen</span> ; <span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Kiera, Christian</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span>: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. In: <i>Pharmaceutics</i> Bd. 15. Basel, MDPI (2023), Nr. 8","havard":"R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions, Pharmaceutics. 15 (2023).","ufg":"<b>Fulek, Ruwen u. a.</b>: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions, in: <i>Pharmaceutics</i> 15 (2023), H. 8.","chicago-de":"Fulek, Ruwen, Selina Ramm, Christian Kiera, Miriam Pein-Hackelbusch und Ulrich Odefey. 2023. A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. <i>Pharmaceutics</i> 15, Nr. 8. doi:<a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>, .","short":"R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, Pharmaceutics 15 (2023).","apa":"Fulek, R., Ramm, S., Kiera, C., Pein-Hackelbusch, M., &#38; Odefey, U. (2023). A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. <i>Pharmaceutics</i>, <i>15</i>(8), Article 2153. <a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>","mla":"Fulek, Ruwen, et al. “A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions.” <i>Pharmaceutics</i>, vol. 15, no. 8, 2153, 2023, <a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>."},"_id":"10216","oa":"1","article_number":"2153","publication":"Pharmaceutics","issue":"8","quality_controlled":"1","external_id":{"pmid":["37631367"],"isi":["001119084200001"]},"date_updated":"2025-07-29T13:21:40Z","doi":"https://doi.org/10.3390/pharmaceutics15082153","type":"scientific_journal_article","publisher":"MDPI","keyword":["wet granulation","acoustic classification","machine learning","convolutional neural networks"],"abstract":[{"lang":"eng","text":"Wet granulation is a frequent process in the pharmaceutical industry. As a starting point for numerous dosage forms, the quality of the granulation not only affects subsequent production steps but also impacts the quality of the final product. It is thus crucial and economical to monitor this operation thoroughly. Here, we report on identifying different phases of a granulation process using a machine learning approach. The phases reflect the water content which, in turn, influences the processability and quality of the granule mass. We used two kinds of microphones and an acceleration sensor to capture acoustic emissions and vibrations. We trained convolutional neural networks (CNNs) to classify the different phases using transformed sound recordings as the input. We achieved a classification accuracy of up to 90% using vibrational data and an accuracy of up to 97% using the audible microphone data. Our results indicate the suitability of using audible sound and machine learning to monitor pharmaceutical processes. Moreover, since recording acoustic emissions is contactless, it readily complies with legal regulations and presents Good Manufacturing Practices."}],"department":[{"_id":"DEP4022"},{"_id":"DEP4028"},{"_id":"DEP4014"}],"year":"2023","user_id":"83781","status":"public"},{"conference":{"location":"Rosenberg","name":"Ph.D. Student's Symposium on Tabletting Technology 2023","end_date":"2023-03-15","start_date":"2023-03-13"},"_id":"9627","status":"public","user_id":"83781","year":"2023","department":[{"_id":"DEP4022"},{"_id":"DEP4028"},{"_id":"DEP4014"}],"date_updated":"2025-07-29T13:23:12Z","title":"Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation","citation":{"ieee":"S. Ramm, R. Fulek, V. A. Eberle, C. Kiera, U. Odefey, and M. Pein-Hackelbusch, <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>. 2023.","ama":"Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>.; 2023.","van":"Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. 2023.","bjps":"<b>Ramm S <i>et al.</i></b> (2023) <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>. .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Fulek, Ruwen</span> ; <span style=\"font-variant:small-caps;\">Eberle, Veronika Anna</span> ; <span style=\"font-variant:small-caps;\">Kiera, Christian</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>, 2023","chicago":"Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich Odefey, and Miriam Pein-Hackelbusch. <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>, 2023.","havard":"S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch, Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation, 2023.","short":"S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch, Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation, 2023.","mla":"Ramm, Selina, et al. <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>. 2023.","apa":"Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., &#38; Pein-Hackelbusch, M. (2023). <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>. Ph.D. Student’s Symposium on Tabletting Technology 2023, Rosenberg.","ufg":"<b>Ramm, Selina u. a.</b>: Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation, o. O. 2023.","chicago-de":"Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich Odefey und Miriam Pein-Hackelbusch. 2023. <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>."},"publication_status":"published","date_created":"2023-03-16T09:46:10Z","language":[{"iso":"eng"}],"author":[{"orcid":"https://orcid.org/0000-0002-0502-8032","id":"68713","last_name":"Ramm","full_name":"Ramm, Selina","first_name":"Selina"},{"first_name":"Ruwen","full_name":"Fulek, Ruwen","id":"79527","last_name":"Fulek"},{"last_name":"Eberle","full_name":"Eberle, Veronika Anna","first_name":"Veronika Anna"},{"full_name":"Kiera, Christian","last_name":"Kiera","first_name":"Christian"},{"first_name":"Ulrich","full_name":"Odefey, Ulrich","id":"74218","last_name":"Odefey"},{"first_name":"Miriam","last_name":"Pein-Hackelbusch","id":"64952","full_name":"Pein-Hackelbusch, Miriam","orcid":"0000-0002-7920-0595"}],"type":"conference_speech"},{"type":"scientific_journal_article","publisher":"MDPI","issue":"11","date_updated":"2025-07-29T13:22:53Z","doi":"https://doi.org/10.3390/pharmaceutics14112303","external_id":{"isi":["000883998100001"],"pmid":["36365122"]},"user_id":"83781","year":"2022","department":[{"_id":"DEP4022"},{"_id":"DEP4028"},{"_id":"DEP4014"}],"status":"public","keyword":["wet granulation","liquid requirement","granulation endpoint","compression density"],"abstract":[{"lang":"eng","text":"Pellet production is a multi-step manufacturing process comprising granulation, extrusion and spheronisation. The first step represents a critical control point, since the quality of the granule mass highly influences subsequent process steps and, consequently, the quality of final pellets. The most important parameter of wet granulation is the liquid requirement, which can often only be quantitatively evaluated after further process steps. To identify an alternative for optimal liquid requirements, experiments were conducted with a formulation based on lactose and microcrystalline cellulose. Granules were analyzed with a Powder Vertical Shear Rig. We identified the compression density (ρpress) as the said alternative, linking information from the powder material and the moisture content (R2 = 0.995). We used ρpress to successfully predict liquid requirements for unknown formulation compositions. By means of this prediction, pellets with high quality, regarding shape and size distribution, were produced by carrying out a multi-step manufacturing process. Furthermore, the applicability of ρpress as an alternative quality parameter to other placebo formulations and to formulations containing active pharmaceutical ingredients (APIs) was demonstrated."}],"isi":"1","intvolume":"        14","author":[{"first_name":"Selina","last_name":"Ramm","id":"68713","full_name":"Ramm, Selina","orcid":"https://orcid.org/0000-0002-0502-8032"},{"id":"79527","last_name":"Fulek","full_name":"Fulek, Ruwen","first_name":"Ruwen"},{"full_name":"Eberle, Veronika Anna","last_name":"Eberle","first_name":"Veronika Anna"},{"last_name":"Kiera","full_name":"Kiera, Christian","first_name":"Christian"},{"full_name":"Odefey, Ulrich","last_name":"Odefey","id":"74218","first_name":"Ulrich"},{"orcid":"0000-0002-7920-0595","full_name":"Pein-Hackelbusch, Miriam","last_name":"Pein-Hackelbusch","id":"64952","first_name":"Miriam"}],"publication_identifier":{"eissn":["1999-4923"]},"place":"Basel","citation":{"ama":"Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. <i>Pharmaceutics</i>. 2022;14(11). doi:<a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>","van":"Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. Pharmaceutics. 2022;14(11).","ieee":"S. Ramm, R. Fulek, V. A. Eberle, C. Kiera, U. Odefey, and M. Pein-Hackelbusch, “Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation.,” <i>Pharmaceutics</i>, vol. 14, no. 11, Art. no. 2303, 2022, doi: <a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>.","chicago":"Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich Odefey, and Miriam Pein-Hackelbusch. “Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation.” <i>Pharmaceutics</i> 14, no. 11 (2022). <a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>.","bjps":"<b>Ramm S <i>et al.</i></b> (2022) Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. <i>Pharmaceutics</i> <b>14</b>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Fulek, Ruwen</span> ; <span style=\"font-variant:small-caps;\">Eberle, Veronika Anna</span> ; <span style=\"font-variant:small-caps;\">Kiera, Christian</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. In: <i>Pharmaceutics</i> Bd. 14. Basel, MDPI (2022), Nr. 11","havard":"S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch, Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation., Pharmaceutics. 14 (2022).","ufg":"<b>Ramm, Selina u. a.</b>: Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation., in: <i>Pharmaceutics</i> 14 (2022), H. 11.","chicago-de":"Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich Odefey und Miriam Pein-Hackelbusch. 2022. Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. <i>Pharmaceutics</i> 14, Nr. 11. doi:<a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>, .","short":"S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch, Pharmaceutics 14 (2022).","mla":"Ramm, Selina, et al. “Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation.” <i>Pharmaceutics</i>, vol. 14, no. 11, 2303, 2022, <a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>.","apa":"Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., &#38; Pein-Hackelbusch, M. (2022). Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. <i>Pharmaceutics</i>, <i>14</i>(11), Article 2303. <a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>"},"language":[{"iso":"eng"}],"date_created":"2023-03-03T11:23:01Z","publication_status":"published","volume":14,"pmid":"1","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/1999-4923/14/11/2303"}],"title":"Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation.","publication":"Pharmaceutics","_id":"9568","oa":"1","article_number":"2303"}]