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Multivariate data analytical techniques (MVA) - Articles and news items
CAMO Software and Stat-Ease, Inc. release software bundle for multivariate data analysis and design of experiments
Supplier news / 29 September 2015 / CAMO Software
CAMO Software, leaders in multivariate data analysis software, and Stat-Ease, Inc., a leading supplier of design of experiments (DOE) software and services, have released a software bundle for multivariate data analysis and design of experiments; The Unscrambler® X Design-Expert® Upgrade…
Whitepapers / 1 October 2013 / CAMO
This free whitepaper gives detailed examples of how these advanced tools can be used in development & discovery, clinical trials, batch monitoring & control, and QA/QC applications.
Chemometrics was defined as a research area in 1974 and developed rapidly through the following decades in parallel with the fast paced improvement in analytical technologies and computational power for lab instruments and sensors. Chemometrics is essentially the translation of measured signals characterising a sample or a process into meaningful results. This is achieved by applying a number of powerful multivariate data analytical techniques (MVA) to develop a model from a representative data set, and use this model to predict or quantify the property of interest for new samples or process runs.
In the pharmaceutical industry, chemometrics has been successfully applied at every stage from discovery, through development, and to manufacturing. In this review, the requirements and benefits to applying chemometrics in late stage development and manufacturing will be discussed.
Two main areas of interest in pharma – ceutical development and manufacturing are QbD (Quality by Design) and PAT (Process Analytical Technologies), and chemometrics, i.e. modelling, is a key element of these approaches. Chemometrics is used for simplicity as the label for any model translating data into meaningful output in the following discussion. To maximise the benefit from chemometrics, the very first step is to define the objective of the model.
ABB Analytical Measurement ACD/Labs ADInstruments Ltd Advanced Analytical Technologies GmbH Analytik Jena AG Astell Scientific Ltd B&W Tek Bachem AG Bibby Scientific Limited Bio-Rad Laboratories BioNavis Ltd Biopharma Group Black Swan Analysis Limited Butterworth Laboratories Ltd CAPSUGEL NV Charles Ischi AG | Kraemer Elektronik Cherwell Laboratories CI Precision Cobalt Light Systems Coulter Partners CPC Biotech srl Dassault Systèmes BIOVIA DiscoverX Edinburgh Instruments Enterprise System Partners (ESP) Eurofins BioPharma Product Testing EUROGENTEC F.P.S. Food and Pharma Systems Srl GE Analytical Instruments IDBS JEOL Europe Kaiser Optical Systems Inc. L.B. Bohle Maschinen + Verfahren GmbH Lab M Ltd. LabWare Linkam Scientific Instruments Limited Lonza MA Business Metrohm Molins Technologies Multicore Dynamics Ltd Nanosurf New England Biolabs, Inc. Ocean Optics Panasonic Biomedical Sales Europe B.V. Peak Scientific ReAgent Russell Finex Limited Sentronic GmbH Source BioScience Takara Clontech Tornado Spectral Systems Tuttnauer Viavi Solutions, Inc Watson-Marlow Fluid Technology Group Wickham Laboratories Limited WITec GmbH Xylem Analytics YMC Europe GmbH Yusen Logistics