Application of PLS regression on binary qualitative data Issues

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							Application of PLS regression on binary qualitative data
 Issues of taste performance, ageing, experience and
                       exposure
                                         Janna Bitnes, Ph.D. Student
                             Matforsk, Norwegian Food Research Institute, Norway
                             Royal Veterinary and Agricultural University, Denmark

                                                        7th Sensometrics Meeting
                                                             July 28-30 2004




ember of the Food Science Alliance : NLH - Matforsk - Akvaforsk                    Sheet nr.: 1 | 8/12/2004 | Author: .... | Archive: I:\felles\_Utve
    Background
               Taste impairment with age
               Learning effect with sensory experience and exposure




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    Are they too old?




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    Research question
         Can ageing, experience and exposure explain the variation in taste
         performance of the judges of the sensory panel?




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    Subjects
         The sensory panel at
         Matforsk
         10-12 members
         Specifically selected,
         employed and educated
         as sensory panellists
         (ISO standards)
         Perform sensory work on
         all kinds of food products
         three days a week


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Participation in the
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basic taste identification



                                                                  Judge #
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test during the period                                                      17
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1976-2003
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                                                                                 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66
                                                                                                          Age (year)

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    Stimuli                                                       S a m p le   C o n c e n tra tio n   T a s te s tim u lu s
                                                                  1            0 ,2 %                  S u c ro s e
                                                                  2            0 ,4 %                  S u c ro s e
         13 different samples                                     3            0 ,6 %                  S u c ro s e
                                                                  4            0 ,0 1 %                S o d iu m C h lo rid e
         Sucrose, sodium chloride,                                5            0 ,0 3 %                S o d iu m C h lo rid e
         citric acid and caffeine                                 6            0 ,0 6 %                S o d iu m C h lo rid e
         dissolved in water                                       7
                                                                  8
                                                                               0 ,0 0 5 %
                                                                               0 ,0 1 %
                                                                                                       C itric a c id
                                                                                                       C itric a c id
         Three different                                          9            0 ,0 1 5 %              C itric a c id
                                                                  10           0 ,0 6 ’1 0 -3 %        C a ffe in e
         concentrations                                           11           0 ,1 4 ’1 0 -3 %        C a ffe in e
         To provide the basic taste                               12
                                                                  13
                                                                               0 ,2 7 ’1 0 -3 %
                                                                               100 %
                                                                                                       C a ffe in e
                                                                                                       W a te r
         stimuli of sweet, salt, sour
         and bitter plus water



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    Identification test
         13 Samples (25 ml) were presented with a three-digit random number
         Random order within each test session and identical for all subjects.
         There were two replicates divided in two sessions one before and one 1 hour
         after lunch.
         The sensory panellists responded with one of the five choices: sweet, salt,
         sour, bitter or water.




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     Data analysis
     Partial Least Squares Regression (PLSR): To what extent the
       background variables ageing, experience and exposure explain the
       variation in the responses from the judges.

                                                                  3                                                       13
        Age Experience Exposure                                             Responses


                                 X                                                 Y
17                                                                    217
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    PLSR, X variables
         X = Ageing, experience and exposure
                         Ageing: measures the specific age of the
                         panellists at the time of the test
                         Experience: measures number of years the judges
                         have participated in the sensory panel
                         Exposure: measures number of performed
                         identification tests for the individual panellists




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  PLSR, Y variables
                 Y = Responses, taste performance measured as mean of correct
                 identifications of sweet, salt, sour, bitter and water

                                                                        Responses corrected
            Ageing, experience and exposure                             SweL SweM…………….Water                13




                              X                                                  Y
   217                                                            217


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A condensed way to show significance and sign of effect
                                                                  -log10(p(bkj)) * sign(bkj)
    The significance levels
    P(bkj) were transformed by
    -log(p) so that high
    numbers represent high



                                                                  Y-Variables
    reliability.
    For combining interpretation of the
    main effects and their reliability, the
    sign of the main effects was
    combined with the transformed
    significance levels
                                                                                      X-Variables


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              Matrix plot of -log10(p(bkj)) * sign(bkj) for PC2
                                 -0.494          9.401e-02         0.682
                                                                           *      1.271
                                                                                          **      1.859
                                                                                                          ***            2.447


               SweetL
                  SaltL
                 SourL
                BitterL
Y-Variables




               SweetM
                 SaltM
                SourM
                BitterM
               SweetH
                 SaltH
                SourH
                BitterH
                 Water


                                          Ageing                       Experience                      Exposure
               ISBAPLSRJK2PCsSorted - Matrix Plot, Sam.Set: All Samples, Var.Set: Selected Variables
                                                                  X-Variables

ember of the Food Science Alliance : NLH - Matforsk - Akvaforsk                                           Sheet nr.: 14 | 8/12/2004 | Author: .... | Archive: I:\felles\_Utve
     Conclusion - are they too old?
    No!
    There might be objections to use older subjects without
    previous sensory experience as sensory judges, but the general
    tendency is that when the panellists first are experienced with
    sensory work there is no major taste impairment with ageing.

    Thank you for your attention ;-)




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    APLSR was performed in two steps
                                                                  Indicator matrix 1/0     Responses
         Step 1: Judge correction
                                                                       X                          Y


                                                                              Age, experience..   Responses corrected
         Step 2: Effect of age and experience
                                                                                    X                           Y




ember of the Food Science Alliance : NLH - Matforsk - Akvaforsk                                       Sheet nr.: 17 | 8/12/2004 | Author: .... | Archive: I:\felles\_Utve

						
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