Program  Titles  Presenters  Topics 
Poster Session 2.4 - Sensometrics
Wednesday 14 August, 16:00-18:00
Exhibition Area – Second Floor
[P2.4.001]
Parametric models for tournament designs in choice experiments: A case study with milk caramel spread
I.S. Amorim*1, D.M. Pires1, V.R. Souza1, V. Vietoris2, J.S.S. Bueno Filho1, A.C.M. Pinheiro1
1Federal University of Lavras, Brazil, 2Slovak University of Agriculture, Slovakia
[P2.4.002]
Selection of judges for sensory analysis using item response theory: An initial approach
A. Anjos*1, D.F. Andrade1,2, E. Teixeira1,2, R.D.M.C. Amboni1,2, A.B. Nascimento1,2
1UFPR, Brazil, 2UFSC, Brazil
[P2.4.003]
Artificial neural networks as a tool for approach nonlinear relations between sensory attributes and consumer preference data: Radial-basis function method
E. Bona*1, S.D. Dutcosky2, R.S.F. Silva2
1Universidade Tecnologica Federal do Parana, Brazil, 2About Solution Ltd., Brazil
[P2.4.004]
External preference mapping of mango nectar
R.S. Cadena*, R.R. Netto, A.G. Cruz, W.F. Freitas, J.A.F. Faria, H.M.A. Bolini
University of Campinas, Brazil
[P2.4.005]
Panel tracking via thurstonian modeling
J.C. Castura*1, J.M. Ennis2, R.H.B. Christensen3
1Compusense Inc., Canada, 2The Institute for Perception, USA, 3Technical University of Denmark, Denmark
[P2.4.006]
A preliminary review of multiple group principal component analysis for descriptive sensory data
M. Li1, R.P. Browne1, P.D. McNicholas1, J.C. Castura*2
1University of Guelph, Canada, 2Compusense Inc., Canada
[P2.4.007]
Underdetermination in arincipal component analysis
B. Dettmar*, M. Plattner
JT-International GmbH, Germany
[P2.4.008]
Comparison of three statistical analyses for CATA data
G.H.P. Marton, R.C.S.C. Ormenese, K.M.V.A.B. Cipolli, X.F. Ferreira, A.O. Garcia*
Institute of Food Technology, Brazil
[P2.4.009]
Freely available software for descriptive analysis data acquisition
G. Rodríguez1, F. Bareilles2, G. Hough*1
1ISETA- 9 de Julio, Argentina, 2Instituto Argentino de Radioastronomía -CONICET, Argentina
[P2.4.010]
Regional characteristics of Malbec wines from Argentina and the US
E.S. King*, M. Stoumen, F. Buscema, A. Hjelmeland, S.E. Ebeler, H. Heymann, R.B. Boulton
University of California, Davis, USA
[P2.4.011]
lmerTest: The R-package for making mixed modeling easy to use.
A. Kuznetsova*, R.H.B. Christensen, P.B. Brockhoff
Danish Technical University, DTU, Denmark
[P2.4.012]
The relation between specific and overall liking scores
E. Menichelli*1,2, H. Kraggerud3, N.V. Olsen1, T. Næs1,4
1Nofima AS, Norway, 2The Norwegian University of Life Sciences, Norway, 3TINE, Norway, 4University of Copenhagen, Denmark
[P2.4.013]
There is no need for replicates in descriptive sensory studies once the panel is well trained
N. Pineau*1, M. Moser1, V. Graham2, R. Arslanian2, L. Fillion1, A. Rytz1
1Nestlé Research Centre, Switzerland, 2Cereal Partner Worldwide, Switzerland
[P2.4.014]
Relating sensory acceptance to descriptive attributes by three-way external preference mapping obtained by parallel factor analysis (PARAFAC)
C.A. Nunes, S.C. Bastos, V.R. Souza, A.C.M. Pinheiro*
Universidade Federal de Lavras, Brazil
[P2.4.015]
Performance evaluation of sensory assessors using concepts of functional analysis
F.S.T. Pinto*1,2, A.H. Pedott1, F.S. Fogliatto1, E.M. Qannari1
1Universidade Federal do Rio Grande do Sul, Brazil, 2Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul, Brazil, 3École Nationale Vétérinaire, Agroalimentaire et de l´Alimentation, France
[P2.4.016]
Visualizing temporal sensory data using animated scatterplots, boxplots, and bagplots
A. Leonard, M. Plater Findlay*, J.C. Castura
Compusense Inc., Canada
[P2.4.017]
Shelf-life estimation of low fat UHT milk 
M. Richards*, E.M. Buys, H.L. De Kock
University of Pretoria, South Africa
[P2.4.018]
The effect of dimensionality on multivariate mapping of hedonic data
F. Rossi*1, J. Ennis2, B. Rousseau2, T. Worch3
1Kraft Foods Group, USA, 2The Institute for Perception, USA, 3Qi Statistics, UK
[P2.4.019]
A comparison of methods in modelling consumer acceptability on product sensory attributes
D.T. Buck*1, K. Greenhoff1, K. Mahoney2
1product perceptions, UK, 2Diagnostic decisions, UK