Reliability of the sensory analysis data of a panel of tasters

被引:0
作者
Alvarez, P [1 ]
Blanco, MA [1 ]
机构
[1] Univ Extremadura, Fac CCEE, E-06071 Badajoz, Spain
关键词
quantum measurement technique; sensory analysis; Rasch; latent variable; measure; misfits;
D O I
10.1002/1097-0010(200002)80:3<409::AID-JSFA551>3.0.CO;2-T
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
A method, the quantum measurement technique, is described which, by means of the conceptualisation of the information underlying a set of data which are considered as manifestations of a latent variable or theoretical construct, allows one to detect which are the data in sensorial analysis that, after obtaining a measure, do not fit the formulated conception. The theoretical foundation, based on Rasch probability and item response theory (IRT), detects and quantifies by means of the misfits the data that respond to unexpected scores. A detailed analysis of their residuals aids in finding the causes of these misfits. The technique is applied to the data of a tasting panel that form part of the sensory evaluation of virgin olive oil. (C) 2000 Society of Chemical Industry.
引用
收藏
页码:409 / 418
页数:10
相关论文
共 50 条
  • [21] Sensory analysis of meat
    Sanchez, Ivan C.
    Albarracin, William
    [J]. REVISTA COLOMBIANA DE CIENCIAS PECUARIAS, 2010, 23 (02) : 227 - 239
  • [22] Sensory analysis of malt
    Svoboda, Zdenek
    Hartman, Ivo
    Belakova, Sylvie
    Pernica, Marek
    Bosko, Rastislav
    Benesova, Karolina
    [J]. KVASNY PRUMYSL, 2022, 68 (3-4): : 628 - 636
  • [23] A hierarchy of models for analysing sensory data
    Qannari, EM
    Wakeling, I
    MacFie, HJH
    [J]. FOOD QUALITY AND PREFERENCE, 1995, 6 (04) : 309 - 314
  • [24] Multiple factor analysis with confidence ellipses:: a methodology to study the relationships between sensory and instrumental data
    Pagés, J
    Husson, F
    [J]. JOURNAL OF CHEMOMETRICS, 2005, 19 (03) : 138 - 144
  • [25] Influence of pH and ageing on beer organoleptic properties.: A sensory analysis based on AEDA data
    Guyot-Declerck, C
    François, N
    Ritter, C
    Govaerts, B
    Collin, S
    [J]. FOOD QUALITY AND PREFERENCE, 2005, 16 (02) : 157 - 162
  • [26] Historical Continuity or Different Sensory Worlds? What we Can Learn about the Sensory Characteristics of Early Modern Pharmaceuticals by Taking Them to a Trained Sensory Panel.
    Ahnfelt, Nils-Otto
    Fors, Hjalmar
    Wendin, Karin
    [J]. BERICHTE ZUR WISSENSCHAFTSGESCHICHTE, 2020, 43 (03) : 412 - 429
  • [27] Sensory analysis of the Slovene honey
    Golob, T
    Koch, V
    Bertoncelj, J
    [J]. PROCEEDINGS OF THE 4TH CROATIAN CONGRESS OF FOOD TECHNOLOGIST, BIOTECHNOLOGISTS AND NUTRITIONISTS-CENTRAL EUROPEAN MEETING, 2002, : 468 - 473
  • [28] Sensory analysis in the food industry
    Teixeira, Lilian Viana
    [J]. JOURNAL OF CANDIDO TOSTES DAIRY INSTITUTE, 2009, 64 (366): : 12 - 21
  • [29] SENSORY ANALYSIS OF BLUEBERRY CULTIVARS
    Priatkova, L.
    Hlavacova, Z.
    Kertesz, A.
    Vietoris, V.
    Sedlackova-Horcinova, V
    [J]. MENDELNET 2010, 2010, : 756 - 763
  • [30] THE BIPOLAR MEAN IN SENSORY ANALYSIS
    Brentari, Eugenio
    Dancelli, Livia
    Maffenini, Walter
    [J]. ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS, 2011, 4 (02) : 277 - 286