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First African-European Conference on Chemometrics
Data Modelling in Biological Sciences and Industrial Processing
Place: Mining School of Rabat, Rabat, Morocco,
Date: 20th to 24th of September 2010
 Scope of the present conference
The conference covers two fields where chemometrics is rapidly expanding: process analytical technology (PAT) in industrial production plants, and bio-chemometrics in systems biology research laboratories.
Common themes The two fields share some fundamentals, such as the powerful, yet simple data modelling methodology and a pragmatic, but effective explorative research approach.
PAT chemometrics is now a mature science, building on two decades of academic and industrial R&D. The cutting edge is now to put these methods for process optimization and quality assurance to practical, everyday use. For that purpose, engineers need to learn to identify the new opportunities from PAT chemometrics, and need to understand its statistical, chemical and physical success factors.
Bio-chemometrics is still a nascent field. But already, clear proofs of great potential benefits have been published in a wide range of fields. Fast, cheap FTIR, NMR and MS spectrometers are being put to use for strain identification in microbiology, and for detailed blood analysis in human medicine; used in hyperspectral microscopy, tissue biopsies and individual cells are characterized chemically from the cell’s molecules themselves, without the need for specific dyes. Proteomic 2D gel electrophoresis is enhanced by image analysis and multivariate regression. Genomics, transcriptomics, proteomics and metabolomics data are interpreted simultaneously by multi-block data modelling.
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CAMO Software will feature a Pre-Conference Course aimed for scientists in life sciences, pharma and biotech industry, and people working with quality control, analytical chemists, etc. The content fits some of the important aspects of multivariate callibration, Design of Experiments (DoE) and applications of DoE; mainly those related to multivariate data analysis and knowledge extraction. |
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