Factsheets and Technical Notes

Factsheets

• CPACT Factsheet: Research at CPACT
• Hitchhikers Guide to Process Control
• CPACT Factsheet: Our Network
• CPACT Factsheet: Achievements
• CPACT Factsheet: Membership Benefits
• CPACT Factsheet: Business Benefits of Process Analysis and Control

Technical Notes

• Big Data, Smart Data and Big Analysis
• Is low field NMR now a "Must have" technique for the modern petro industry laboratory?
• Converting big data to big analysis and control - the secret is to Pre-screen

Developing and maintaining robust models for process analysis and control in food manufacturing - 16th June 2022

• Key aspects to increase the robustness of NIRS prediction models for the on-site assessment and authentication of agrifood products - Dolores Perez Marin, University of Cordoba
• Helping NIR applications survive the rigours of industry - Erik Tengstrand, Nofima
• Robust and sustainable NIR applications in industry - Beyond modelling - Lidia Esteve, Mars Global Services Laboratories
• Deploying, monitoring and maintaining multivariate calibration models for industrial use - Chuck Miller, Aspen Technology

CPACT Awareness Series - Deciding the best spectral analysis solutions for process applications

The present and future of process spectroscopy - making sure your techniques are fit for purpose - 31st May 2022

• Spectral Analysis options we have now- but have forgotten - Martin Warman, Martin Warman Consultancy Ltd
• Factors that affect the performance of analysers in process applications - Phil Doherty, ExpoPharma
• Advances in spectral analyser technology: Fibre spectroscopy tools for process analysis - Slava Artyushenko, art photonics
• Advances in spectral analyser technology: The power of NIR spectroscopy on a chip - from instruments to sensors - Maurangelo Petruzzella, MantiSpectra

Process Analysis and Control in Food Manufacturing event - Tuesday 26th October 2021

• Opportunities and challenges with in-line measurements of food quality - Jens Petter Wold, Nofima
• Insight on the use of non-invasive technologies for the food industry and consumers - Elena Fulladosa, IRTA
• Data, models and control in food production - Frans van der Berg, University of Copenhagen
• In-line NIR reveals unknown process dynamics and gives more precise estimates of batch quality – a case study from cheese production - Ingrid Måge, Nofima
• Innovations in hyperspectral imaging for food analysis - Gamal El Masry, Suez Canal University
• Innovations in Raman spectroscopy for process analysis in food manufacturing - Brian Marquardt, MarqMetrix