S. B. Osman, O. Korostynska, A. Mason, J. D. Cullen and A. I

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Presentation transcript:

Application of Microwave Spectroscopy Analysis on Determining the Quality of Oils S. B. Osman, O. Korostynska, A. Mason, J. D. Cullen and A. I. Al-Shamma’a New Materials and Developments in Sensor Technologies The Royal Society of Chemistry, Burlington House, Piccadilly, London

Objectives Classification of edible oils To examine authenticity To detect possible adulteration Number of institutions (as at August 2011) : Country Universities* Higher Education Institutions** England 89 131 Scotland 14 19 Wales 10 11 Northern Ireland 2 4 United Kingdom 115 165

Gas Chromatography

High-Performance Liquid Chromatography [HPLC] System

Infrared Spectroscopy Fourier Transform Infrared Spectroscopy

Nuclear Magnetic Resonance NMR Nuclear Magnetic Resonance

Challenges… Too expensive for widespread industrial use Require samples to be analysed in dedicated laboratories Incurring a significant time penalty.

Microwave Spectroscopy VNA SENSOR DISPLAY

Sensor

Samples Sample Description 1 Sunflower Oil (100%) 2 Grape seed Oil (100%) 3 Groundnut Oil (100%) 4 Olive Oil (mixed) 5 Olive Oil (medium flavour) 6 Olive Oil (fruity flavour) 7 Olive Oil (Extra Virgin)

Experimental Setup

Results

Conclusion This work evaluated microwave spectroscopy as a technique for distinguishing various oil types, with the long-term aim of authenticity determination. Various supermarket oil samples were analysed and the results show that each produces a unique signal spectra. This paves way for the application of this method in the detection of adulteration in edible oils. Our analysis included differing additives and combinations of oils to determine the capability of the method in distinguishing common fraud techniques. The results prove that any dilution of any of the sample could alter the characteristics of the spectrum.

Future Work In addition, associated hardware and software will be developed to make the entire system portable and affordable for industry use. The Field Conditioned Virtual Network Analyser (FCVNA) will combine these analysis with other capabilities to achieve real-time quality control of vegetable oils.

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