AIR2-CT94-1416 Developing Analytical Methods from Fluorescence Spectra and Video Images with Relevance to Food and Non-Food Agro-Industrial Engineering Using New Computer Based Evaluation Techniques (AFFLUENCE) - Final Report

Contacts
Further Information



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AIR Cluster V - Speciality Chemicals : Fibre : Fine Chemicals : Straw : Vegetable Oil/Fat

	Contract No	AIR2-CT94-1416
	Total Cost	1 786 811 ECU
	EC Contribution	1 257 766 ECU
	Start Date	01/07/1994
	Duration	48 months

Project Summary

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AIR2-CT94-1416 Developing Analytical Methods from Fluorescence Spectra and Video Images with relevance to Food and Non-food Agro-industrial Engineering using new Computer-based Evaluation Techniques (AFFLUENCE)

Objectives
The combination near infrared spectroscopy and exploratory data analysis called chemometrics is a firmly established practice in quality control in the biological food and non-food areas today. Millions of samples of grains, feeds, animal carcasses, pharmaceutical products and wood and paper products are analysed worldwide each week for quality with near infrared spectroscopy. Before the project was launched it was asked,

• Is it possible to use fluorescence in an analogous way to near infrared spectroscopy to perform specific quality control on complex matrices?
• And is it possible to use multiwavelength (multichannel) fluorescence imaging with the new, sensitive CCD cameras for on-line quality control?

At the time, this proposal was made in 1994, there were few examples supporting the feasibility of fluorescence analysis for such a purpose. The main objectives were to remedy this.

Technical approach
In developing hardware for new methods based on fluorescence for monitoring quality parameters one is either limited to acquiring laboratory instruments which may have certain limitations or buying components available on the markets which could be put together for practical use. Another option is to develop and manufacture equipment optimized to the task. The project has in part exploited all these options. It was also found that developing of new multivariate software to fully exploit the multivariate capability of the computer was the key to success in making whole fluorescence spectra and images practically applicable as screening methods.

See Further Information for Results

Contacts

Coordinator

• L MUNCK / Royal Veterinary & Agricultural Univ. Dept. of Dairy and Food Science / DENMARK

EC Scientific Officer

• Ciarán MANGAN / European Commission - DG Research Quality of Life Programme - Unit B1.2 / BELGIUM

Participant

• Daniel RIBAILLIER / CETIOM (Centre Technique Interprofessionnel des Oleagineux / FRANCE
• Daniel GALLANT / Institut National de la Recherche Agronomique (INRA) - Nantes / FRANCE
• Emmanuel G KOUKIOS / National Technical University of Athens (NTUA) Dept of Chemical Engineering / GREECE
• Bo LÖFQVIST / United Milling Systems A/S (UMS) DENMARK
• Tei Vassilis DOURTOGLOU / Vioryl Chemical & Agricultural Research Industry SA GREECE