2010 Global Perspective 6 Part

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    Food Authenticity

    Profiling Foods

    Michal Godula

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    What is Food Authenticity?

    Food authenticity is about misrepresentation by either

    mislabeling or by adulterating usually with lower cost

    material

    Typical examples:

    Wine authenticity illegal sugar addition to grape juiceAddition of sugar to honey

    Addition of hazelnut oil to olive oils

    Mislabeling geographical origin (wine, olive oil)

    Mislabeling organic food products

    Adulteration of meat with cheaper species

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    Major Food Authentication Schemes and Systems

    Protected Designation of Origin (PDO)

    covers agricultural products and foodstuffs which are

    produced, processed and prepared in a given

    geographical area using recognized know-how.

    Protected Geographical Indication (PGI)

    covers agricultural products and foodstuffs closely linked

    to the geographical area. At least one of the stages ofproduction, processing or preparation takes place in the

    area.

    Traditional Speciality Guaranteed (TSG)

    highlights traditional character

    http://ec.europa.eu/agriculture/quality/

    Council Regulation (EC)

    No 510/2006 of 20 March 2006

    Council Regulation (EC)No 509/2006 of 20 March

    2006

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    DOOR Database

    More than 1200 entries

    Different countries participate

    Number of different foods listed

    Typically:olive oils, wines, cheeses, honey, beer etc

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    Food Authentication Challenges

    Chemically identical foods or identical chemical entities

    Unique marker compounds rarely found - more often smallanalytical differences (isotopic patterns)

    Large natural variability based on climatic conditions,fertilizers used, variety, processing

    Techniques must be able to distinguish small differences

    Databases of authentic foods must be available to

    understand natural variability

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    Which Techniques Can be Applied?

    Technique Parameters measured

    Infrared spectroscopy (NIR, MIR) Spectral profile, characteristic frequencies

    Raman spectroscopy Spectral profile, characteristic frequencies

    Nuclear Magnetic Resonance Spectral profile, characteristic frequencies

    Atomic absorption and emissionspectroscopy, ICP/MS

    Elemental composition

    Mass spectrometry (GC/MS, LC/MS) Volatile components, phenoliccompounds

    Chromatography (HPLC/RID) Amino acids, carbohydrates, phenoliccompounds

    IRMS Stable Isotope Ratios

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    Other Approaches

    DNA based methods like PCR

    used mainly for adulteration of meat and meat based products

    - addition of chicken and pork meat into minced beef

    - differentiation of cattle breed

    - adulteration of foie gras with chicken*

    Immunology based approach

    most of the techniques based on ELISA detection of specific proteins- presence of vegetable proteins in milk or meat

    - adulteration of sheep/goat milk with cow milk

    * L.M. Reid et al. / Trends in Food Science & Technology 17 (2006) 344353

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    Data Analysis: Chemometric Approach

    Typically large number of variables involved, ie delta value, elemental

    composition, mass spectra, compound concentration etc

    Multivariate analysis must be applied

    Supervised or unsupervised methodsUnsupervised: classification of sample without any knowledge about the

    origin

    Supervised: similarity of unknown to authentic material

    Choosing appropriate approach is the key to successful analysis

    Gonzalves, A, Trends in Analytical Chemistry, Vol. 28, No. 11, 2009

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    Chemometric Methods Used

    Unsupervised methods ANOVA

    MANOVA

    Principal Component Analysis (PCA) - reduces dimensionality Cluster Analysis (CA) - grouping of samples based on their similarity

    Supervised methods (discriminant techniques)

    Linear discriminant analysis (LDA) - characterize or separate two or more

    classes

    Partial Least Squares (PLS) - fundamental relations between two matrices

    Artificial Neural Networks (ANN) - complex relationships modelling

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    Isotopes - Sources of Variation

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    H2O

    HDO

    HDO

    H2O

    Evaporation & Reprecipitation

    Climatic Factors Affecting D/H Ratio

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    Interpolated 2H of Precipitation

    Produced by James Elhringer (University of Utah)

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    IRMS Information Delivered

    Precise Isotope Ratios

    Element minor Isotope natural abundance [%]

    Hydrogen 2H (D) 0.01557Carbon 13C 1.11140

    Nitrogen 15N 0.36630Oxygen 18O 0.20004Sulfur 34S 4.21500

    others

    Thats where the information is

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    Multiple Element

    Isotope Ratio

    Mass Spectrometry

    H2

    N2

    CO

    CO2

    HH22

    NN22

    COCO

    COCO22

    13C1313CC18O1818OO

    18

    O1818

    OO

    15N1515NN

    DDD

    CSIACSIACompound Specific

    Isotope Analysis

    BSIABSIA

    Bulk StableIsotope Analysis

    GasBenchGasBenchGas Specific

    Isotope Analysis

    Authenticity Control of Food and Beverages

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    Capillary Reactor

    DELTAplusXP

    GC SeparationElemental AnalyzerConversion

    Ref. gases

    Open

    Split

    Reactor

    On-line

    ConversionGC Separation

    of complex mixtures

    2H and 18O

    or13C and 15N and 34S

    2H or18O or13C or15N

    of all Compounds

    BSIABSIABulkBulk

    StableStable

    IsotopeIsotope

    AnalysisAnalysis

    CSIACSIACompoundCompound

    SpecificSpecific

    IsotopeIsotope

    AnalysisAnalysis

    DELTAplusXP

    Ref. gases

    Open

    Split

    Different Approaches to IRMS

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    Sample Introduction Conversion to Simple Gases

    BSIA: Elemental Analyzer (EA) for C, N, S CO2, SO2, N2

    BSIA: High temperature conversion (TC/EA) for C, H CO2, H2

    CSIA: High temperature conversion (GC/TC) for C,H CO2, H2

    CnTC/EA

    Hx Oy H2x/2

    COy

    Cn-y

    >1400 C

    irm GC/MS0.015 %

    2H

    99.985 %H2

    HD

    18O

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    ion source

    magnet

    m/z 2 (H2)m/z 3 (HD)

    universal triple collector

    for N2, CO, O2,CO2, SO2

    m/z 4

    under continuous flow conditions

    4He is about 107 times more

    abundant than HD

    with

    energy filter

    Multi Collectors for Simultaneous Detection

    H2N2CO

    O2

    CO2SO2

    HH22NN22COCO

    OO22

    COCO22SOSO22

    Principles of Multicollector IRMS

    C d S ifi I t A l i GC I li k

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    Compound Specific Isotope Analysis - GC Isolink

    Advantages of irm-GC/MS with GC-ISoLinkAllows simultaneous determination of C, N and H within one sequence

    Combustion (C, N) x high temperature conversion (H)

    Provides chromatographic profile of the sample AND isotopic ratio information

    CSIA E l T il Fi i ti b GC/C IRMS

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    CSIA Examples Tequila Fingerprinting by GC/C-IRMS

    H Ad lt ti

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    Honey Adulteration

    Problem: addition of cheap sugarsto honey

    Current analytical approach:

    EA-IRMS to assess 13C value of

    honey and its protein fraction (limitcca 7% of C4 sugar addition)

    Solution: irm-LC/MS using IsoLink interface allows:

    - comparison of13C value of different sugars

    - determination of the sugar pattern

    TMO application note 30024 or Testing honey adulteration by13 C-EA/LC-IRMS, Elflein L., Apidologie (2008),

    H Ad lt ti E l

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    Honey Adulteration Examples

    Honey 1 Honey 2

    Honey 5

    TMO appnot e30024

    Assessing the Origin of Cheeses in Europe

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    Assessing the Origin of Cheeses in Europe

    Measurands taken: Stable isotope ratios, major, trace and radioactive

    elements

    Techniques used: IRMS, AAS, ICP-MS

    Cheese

    Lyophilization

    Extraction H2O

    IRMS

    Fat extraction

    Hydrolysis to

    glycerol

    Lyophilization

    Extraction,

    H2O pH 4.3

    Dry insoluble

    fraction

    Wet Digestion

    Dilution

    ICP/MS, AAS

    Pillonel L et al, Lebensm.-Wiss. u.-Technol. 36 (2003) 615623

    Assessing the Cheese Origin in Europe

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    Assessing the Cheese Origin in Europe

    Pillonel L et al, Lebensm.-Wiss. u.-Technol. 36 (2003) 615623

    Infrared Spectroscopy

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    Infrared Spectroscopy

    Benefits:Ease of use

    Fast response

    No or limited sample preparation

    Low price Limitations:

    Lower sensitivity

    Small spectral differences

    Typical examples:

    Near Infrared Spectroscopy (NIR, FT-NIR)

    Different Sampling accessories: Sample cup spinner heterogeneousmaterials, SabIR Fiber Optic Probe material identification, Viscous

    Liquid Sampler syrups, suspensions, Softgel detector (Gum), Fiber

    Optic probes in-process testing of solids and liquids

    FT NIR to Assess Geographic Origin of Olive Oils

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    FT-NIR to Assess Geographic Origin of Olive Oils

    Antaris FT-NIR with sample cup spinner

    Direct measurement in 2mm path length cell

    4 cm-1 resolution

    Spectral range - 10000 and 4500 cm-1

    O. Galtier et al.; Analytica Chimica Acta 595 (2007) 136144

    FT-NIR to Assess Geographic Origin of Olive Oils

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    FT-NIR to Assess Geographic Origin of Olive Oils

    Quantification of fatty acids and triglycerols

    Classification in registered designation origin

    O. Galtier et al.; Analytica Chimica Acta 595 (2007) 136144

    Pros/Cons of Different Analytical Approaches

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    Pros/Cons of Different Analytical Approaches

    MethodsSample preparation

    costsSpeed

    Investment andoperating costs

    Probability of success

    NMR

    IRMS

    ChromatographyGC/MS, LC/MS

    Infrared Spectroscopy(NIR. IR, Raman)

    Elemental analysis(ICP/MS, AAS, ICP)

    Which Technique is the Most Appropriate?

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    Which Technique is the Most Appropriate?

    Isotope Ratio Mass Spectrometry considered as standard

    approach

    Organic mass spectrometry gaining popularity

    Elemental analysis can provide additional information to

    IRMS

    Non-destructive techniques offer high speed and almost no

    sample preparation (FTNIR, FTIR, Raman)

    Sophisticated data analysis - chemometric approaches

    Thermo Scientific offers solution for all authenticity analysis

    approaches