J
Jouko Yliruusi
Researcher at University of Helsinki
Publications - 277
Citations - 8999
Jouko Yliruusi is an academic researcher from University of Helsinki. The author has contributed to research in topics: Granulation & Particle size. The author has an hindex of 53, co-authored 276 publications receiving 8371 citations. Previous affiliations of Jouko Yliruusi include AstraZeneca & University of Copenhagen.
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Journal ArticleDOI
Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review
Levente L. Simon,Hajnalka Pataki,György Marosi,Fabian Meemken,Konrad Hungerbühler,Alfons Baiker,Srinivas Tummala,Brian Glennon,Martin Kuentz,Gerry Steele,Herman J. M. Kramer,James W. Rydzak,Zeng-Ping Chen,Julian Morris,Francois Kjell,Ravendra Singh,Rafiqul Gani,Krist V. Gernaey,Marjatta Louhi-Kultanen,John Oreilly,Niklas Sandler,Osmo Antikainen,Jouko Yliruusi,Patrick Frohberg,Joachim Ulrich,Richard D. Braatz,Tom Leyssens,Moritz von Stosch,Rui Oliveira,Reginald B. H. Tan,Huiquan Wu,Mansoor A. Khan,Des O'grady,Anjan Pandey,Remko Westra,Emmanuel Delle-Case,Detlef Pape,Daniele Angelosante,Yannick Maret,Olivier Steiger,Miklos Lenner,Kaoutar Abbou-Oucherif,Zoltan K. Nagy,James D. Litster,Vamsi Krishna Kamaraju,Min-Sen Chiu +45 more
TL;DR: In this paper, a multiauthor review article aims to bring readers up to date with some of the current trends in the field of process analytical technology (PAT) by summarizing each aspect of the subject (sensor development, PAT based process monitoring and control methods) and presenting applications both in industrial laboratories and in manufacture.
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Prediction of physicochemical properties based on neural network modelling.
Jyrki Taskinen,Jouko Yliruusi +1 more
TL;DR: The literature describing neural network modelling to predict physicochemical properties of organic compounds from the molecular structure is reviewed from the perspective of pharmaceutical research, and the standard three-layer, feed-forward neural network is the technique most frequently used.
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Solid-state characterization of chitosans derived from lobster chitin
M. Fernández Cervera,Jyrki Heinämäki,Markku Räsänen,Sirkka Liisa Maunu,Milja Karjalainen,O.M. Nieto Acosta,A. Iraizoz Colarte,Jouko Yliruusi +7 more
TL;DR: In this paper, two samples of chitosan (CH1 and CH2) of different molecular weights and degrees of deacetylation were prepared from lobster chitin under two different processes.
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Controlled release injectable liposomal gel of ibuprofen for epidural analgesia
TL;DR: The liposomal gel controlled ibuprofen release and dural permeation in vitro and showed a permeation pattern favourable for maintaining constant drug levels, which represents a new formulation approach to increase the local epidural availability of ib uprofen.
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On-line monitoring of moisture content in an instrumented fluidized bed granulator with a multi-channel NIR moisture sensor
TL;DR: In this paper, the applicability of a near-infrared reflectance spectroscopic method was tested for the determination of water during different unit operations performed in a fluidized bed granulator.