The Applications of Magnetic Resonance in Food Science 16-19th July 2006 - University of Nottingham, UK
Dairy yp product authentication by y 1H NMR spectroscopy in combination with different chemometric tools Marion Cuny Eurofins Scientific Analytics, Nantes, FR
www.eurofins.com
Fresh dairy product market In France, in 2003:
Consumption: p 138.8 kg g dairy y products p per p inhabitant. Sales: 22%
Desserts Fromages frais
57%
21%
Yoghurts
Innovation: 80 new fresh dairy products entered the market : yoghurts 38 dairy desserts desserts, 10 fromages frais. frais 32 yoghurts, Nottingham, July 2006
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Fresh dairy product authentication Increased number of product types on the market : fat-free, full-fat, set, stirred, drinkable, probiotic
Increased consumption of dairy products P Possible ibl fraud f d and d mislabelling i l b lli : Declared fruit content (%) Addition of undeclared ndeclared compo compounds nds
Æ Need for rapid authentication methods Nottingham, July 2006
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Analytical approaches Target analyte approach • direct analysis of adulterant or authenticity indicator • comparison of analytical results with expected values obtained on authentic samples • chemical, biological components Fingerprint/multivariate approach • pattern comparison of authentic and adulterated products Indirect approach • inference i f off a product’s d t’ authenticity th ti it ffrom iindirect di t comparison i of authentic and adulterated products
Nottingham, July 2006
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Analytical approaches Target analyte approach • direct analysis of adulterant or authenticity indicator • compare analytical results with expected values obtained on authentic samples • chemical, biological components Fingerprint/multivariate approach • pattern comparison of authentic and adulterated products Indirect approach • inference of a product’s product s authenticity from indirect comparison of authentic and adulterated products
Nottingham, July 2006
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Analytical approaches
Fingerprint/multivariate approach • pattern comparison of authentic and adulterated products
1H
Nottingham, July 2006
NMR spectroscopy
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Where is the relevant information in the spectrum? p Examples : Aromatic compounds x 10
Sugars
Acids
S p e c tr u m o f a s tr a w b e r r y y o g h u r t
8
2.5
2
1.5
1
0.5
0 10
8
6
4
2
0
c h e m ic a l s h if t ( p p m )
The relevant information may be in the whole spectrum No part of it should be neglected Nottingham, July 2006
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Where is the relevant information in the spectrum? p
Spectrum = around 32000 data points Noisy parts Depending epe d g on o the t e fraud aud Æ Non-informative o o at e zones o es Spectrum contains a lot of non-informative signals. Suppression of variables Selection of relevant information DATA SIZE REDUCTION
Nottingham, July 2006
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What is a variable? Each chemical shift that has a spectral value recorded = a variable
valueinthespectrum
3 5 3,5 3 2,5 2 1,5 1 0,5 0 1
1,05
1,1
1,15
1,2
1,25
ppm
Nottingham, July 2006
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Selecting information In addition to usual methods of variables selection:
suppression of known non-informative variables mean of continuous data points
Application of novel approaches for variable selection using g 3 chemometric methods:
With high variance criterion Clustering Variables approach (CLV) Evolving Window Zone Selection method (EWZV)
Nottingham, July 2006
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Example of strawberry yoghurt spectrum
?
Nottingham, July 2006
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Example of strawberry yoghurt spectrum a. Samples : 65 retail samples %Fruit content
Group Number
Number of samples
Fruit yoghurt : FR