{"id":5432,"date":"2025-11-13T17:05:01","date_gmt":"2025-11-13T17:05:01","guid":{"rendered":"https:\/\/staging.scientificproducts.com\/?post_type=webinar&#038;p=5432"},"modified":"2025-12-11T22:28:21","modified_gmt":"2025-12-11T22:28:21","slug":"design-optimization-of-freeze-drying-cycles-scientific-based-cycle-design-robustness-testing-sources-of-errors-2","status":"publish","type":"webinar","link":"https:\/\/staging.scientificproducts.com\/es\/webinars\/design-optimization-of-freeze-drying-cycles-scientific-based-cycle-design-robustness-testing-sources-of-errors-2\/","title":{"rendered":"Design &amp; Optimization of Freeze-Drying Cycles: Scientific Based Cycle Design, Robustness Testing &amp; Sources of Errors"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Design of freeze-drying processes is often approached with a \u201ctrial and error\u201d procedure when scientists are new to the subject. In some cases, the freeze-drying recipe used in the first laboratory experiment is used without any further refinement or optimization. Consequently, commercial freeze-drying processes are often neither robust nor efficient.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This presentation is divided into three chapters. In chapter one, the design of an \u201coptimized\u201d freeze-drying process is presented using some simple guidelines which are based on well-accepted scientific principles. This chapter discusses the impact of freezing and representative freezing protocols. It further highlights the significance of the formulation collapse temperature and selection of a \u201ctarget product temperature\u201d (Ttarget) during primary drying, along with guidelines for selection of the optimum shelf temperature and chamber pressure to get to Ttarget. Lastly, rules for secondary drying are being discussed.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the following chapter, \u201crobustness testing\u201d as part of a QbD approach is discussed using a reduced experimental design. The procedure can guide an inexperienced scientist to better understand the link between product and process. A vaccine formulation is used as an example to illustrate robustness testing in practice.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the last chapter, typical sources of errors during freeze-drying will be illustrated by some real-world examples, and their root causes will be briefly discussed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Henning Gieseler, former CEO and currently CSO at GILYOS GmbH, adjunct professor at the Friedrich-Alexander University (FAU) Erlangen-N\u00fcrnberg and Julius-Maximilians University (JMU) W\u00fcrzburg, received his Ph.D. in pharmaceutics from the FAU Erlangen-N\u00fcrnberg in 2004, was appointed as a postdoc at the University of Connecticut under supervision of Dr. Michael Pikal 2004 to 2006 and received his habilitation and&nbsp;venia&nbsp;legend in pharmaceutical technology and&nbsp;biopharmacy&nbsp;at FAU Erlangen-N\u00fcrnberg in 2010. In the same year he founded GILYOS GmbH.&nbsp;<\/p>\n","protected":false},"featured_media":5390,"template":"","webinar_category":[347],"webinar_speaker":[417],"class_list":["post-5432","webinar","type-webinar","status-publish","has-post-thumbnail","hentry","webinar_category-freeze-drying","webinar_speaker-henning-geiseler-phd"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.8 (Yoast SEO v26.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Design &amp; Optimization of Freeze-Drying Cycles: Scientific Based Cycle Design, Robustness Testing &amp; Sources of Errors - Scientific Products<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/staging.scientificproducts.com\/es\/webinars\/design-optimization-of-freeze-drying-cycles-scientific-based-cycle-design-robustness-testing-sources-of-errors-2\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Design &amp; Optimization of Freeze-Drying Cycles: Scientific Based Cycle Design, Robustness Testing &amp; Sources of Errors\" \/>\n<meta property=\"og:description\" content=\"Design of freeze-drying processes is often approached with a \u201ctrial and error\u201d procedure when scientists are new to the subject. In some cases, the freeze-drying recipe used in the first laboratory experiment is used without any further refinement or optimization. Consequently, commercial freeze-drying processes are often neither robust nor efficient.&nbsp; This presentation is divided into...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/staging.scientificproducts.com\/es\/webinars\/design-optimization-of-freeze-drying-cycles-scientific-based-cycle-design-robustness-testing-sources-of-errors-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Scientific Products\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-11T22:28:21+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/staging.scientificproducts.com\/wp-content\/uploads\/sites\/56\/2025\/11\/Henning-Thumbnail.png\" \/>\n\t<meta property=\"og:image:width\" content=\"633\" \/>\n\t<meta property=\"og:image:height\" content=\"253\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutos\" \/>\n\t<meta name=\"twitter:label2\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data2\" content=\"grace\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/staging.scientificproducts.com\/es\/webinars\/design-optimization-of-freeze-drying-cycles-scientific-based-cycle-design-robustness-testing-sources-of-errors-2\/\",\"url\":\"https:\/\/staging.scientificproducts.com\/es\/webinars\/design-optimization-of-freeze-drying-cycles-scientific-based-cycle-design-robustness-testing-sources-of-errors-2\/\",\"name\":\"Design &amp; 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