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Sensory Panel Performance Evaluation—Comprehensive Review of Practical Approaches. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app112411977] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Sensory assessors determine the result of sensory analysis; therefore, investigation of panel performance is inevitable to obtain well-established results. In the last few decades, numerous publications examine the performance of both panelists and panels. The initial point of any panelist measures are the applied selection methods, which are chosen according to the purpose (general suitability or product-specific skills). A practical overview is given on the available solutions, methods, protocols and software relating to all major panelist and panel measure indices (agreement, discrimination, repeatability, reproducibility and scale usage), with special focus on the utilized statistical methods. The novel approach of the presented methods is multi-faceted, concerning time factor (measuring performance at a given moment or over a period), the level of integration in the sensory testing procedure and the target of the measurements (panelist versus panel). The present paper supports the choice of the performance parameter and its related statistical procedure. Available software platforms, their accessibility (open-source status) and their functions are thoroughly analyzed concerning panelist or whole panel evaluation. The applied sensory test method strongly defines the applicable performance evaluation tools; therefore, these aspects are also discussed. A special field is related to proficiency testing. With the focus on special activities (product competitions, expert panels, food and horticultural goods), practical examples are given. In our research, special attention was given to sensory activity in companies and product experts or product-specific panels. Emerging future trends in this field will involve meta-analyses, application of AI and integration of psychophysics.
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Djekic I, Lorenzo JM, Munekata PES, Gagaoua M, Tomasevic I. Review on characteristics of trained sensory panels in food science. J Texture Stud 2021; 52:501-509. [PMID: 34085719 DOI: 10.1111/jtxs.12616] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 05/21/2021] [Accepted: 05/25/2021] [Indexed: 11/29/2022]
Abstract
Sensory analysis has been, is, and will be one of the most important methods in judging food quality. As such, it is an evaluation tool involving human subjects with specific skills to conduct assigned series of tests. This review outlines main characteristics of 179 trained panels published in 16 selected scientific journals in the last 12 months, as well as training methods used for panelists, and type of sensory studies employed. The results reveal that two thirds of the panels have between eight and twelve members, with gender data provided in half of the papers. Overall duration of their initial training is presented only in around 20% of reviewed publications. When provided, duration was below 2 hr per session involving up to 10 sessions. One third of papers confirmed to have conducted training of the panel for methods employed, while almost half used experienced human subjects with no further data. Around 12% of all manuscripts have validated training of their sensory panel, while 20% of papers covered at least one criterion for assessment of their panels' performance. The majority of papers (80%) used descriptive methods, mainly with intensity scales. It is of note that 15% of papers used hedonic tests typical for consumer studies. Almost half of the scholars conducted their research in triplicates (41.3%) while almost one quarter (24%) provided no data on this subject. Type of food analyzed has no effects on the quality of data provided regarding panels, training, sensory methods, and replications.
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Affiliation(s)
- Ilija Djekic
- Faculty of Agriculture, University of Belgrade, Belgrade, Serbia
| | - José M Lorenzo
- Centro Tecnológico de la Carne de Galicia, Parque Tecnológico de Galicia, Ourense, Spain.,Área de Tecnología de los Alimentos, Facultad de Ciencias de Ourense, Universidad de Vigo, Ourense, Spain
| | - Paulo E S Munekata
- Centro Tecnológico de la Carne de Galicia, Parque Tecnológico de Galicia, Ourense, Spain
| | - Mohammed Gagaoua
- Food Quality and Sensory Science Department, Teagasc Food Research Centre, Dublin, Ireland
| | - Igor Tomasevic
- Faculty of Agriculture, University of Belgrade, Belgrade, Serbia
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Kuesten C, Bi J. Application of a panel performance reliability versus product effect size (PR-ES) framework: A protein powder case study. Food Qual Prefer 2021. [DOI: 10.1016/j.foodqual.2020.104152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Worch T, Piqueras-Fiszman B. Contributions to assess the reproducibility and the agreement of respondents in CATA tasks. Food Qual Prefer 2015. [DOI: 10.1016/j.foodqual.2014.09.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Verhoef A, Huijberts G, Vaessen W. Introduction of a quality index, based on Generalizability theory, as a measure of reliability for univariate- and multivariate sensory descriptive data. Food Qual Prefer 2015. [DOI: 10.1016/j.foodqual.2014.06.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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González JA, Sánchez-Sáenz CM, Mejias-Barrera P. Stochastic model for the process of Wine Award: Visualization and quantification. CIÊNCIA E TÉCNICA VITIVINÍCOLA 2015. [DOI: 10.1051/ctv/20142902053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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A method for panelists’ consistency assessment in sensory evaluations based on the Cronbach’s alpha coefficient. Food Qual Prefer 2014. [DOI: 10.1016/j.foodqual.2013.06.006] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Mammasse N, Schlich P. Adequate number of consumers in a liking test. Insights from resampling in seven studies. Food Qual Prefer 2014. [DOI: 10.1016/j.foodqual.2012.01.009] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Gambuti A, Rinaldi A, Ugliano M, Moio L. Evolution of phenolic compounds and astringency during aging of red wine: effect of oxygen exposure before and after bottling. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2013; 61:1618-1627. [PMID: 23110349 DOI: 10.1021/jf302822b] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
The aim of this study was to evaluate the effect of oxygen exposure of red wine, before (micro-oxygenation) and after (nano-oxygenation) bottling, on the phenolic composition and astringency of wine. The astringency was evaluated by sensory analysis and by a method based on the SDS-PAGE of salivary proteins after reaction of saliva with wine (SPI, saliva precipitation index). Micro-oxygenation caused a stabilization of color, but this effect disappeared after long aging. For the wine with the lower pH a decrease of wine astringency and SPI was observed 42 months after micro-oxygenation. Oxygen ingress through the closure postbottling was positively correlated with the decrease of SPI. Therefore, the astringency and reactivity of wines toward salivary proteins of a bottled red wine can be modulated by controlled oxygen exposure during aging. For both experiments the effect of oxygen exposure depended on wine composition.
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Affiliation(s)
- Angelita Gambuti
- Dipartimento di Scienza degli Alimenti, Università degli Studi di Napoli Federico II, Portici (Napoli), Italy.
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Bi J, Kuesten C. Intraclass Correlation Coefficient (ICC): A Framework for Monitoring and Assessing Performance of Trained Sensory Panels and Panelists. J SENS STUD 2012. [DOI: 10.1111/j.1745-459x.2012.00399.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Jian Bi
- Sensometrics Research and Service; Richmond; VA
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Meyners M. Panel and panelist agreement for product comparisons in studies of Temporal Dominance of Sensations. Food Qual Prefer 2011. [DOI: 10.1016/j.foodqual.2011.01.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Bugaud C, Deverge E, Daribo MO, Ribeyre F, Fils-Lycaon B, Mbéguié-A-Mbéguié D. Sensory characterisation enabled the first classification of dessert bananas. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2011; 91:992-1000. [PMID: 21416474 DOI: 10.1002/jsfa.4270] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2010] [Revised: 11/16/2010] [Accepted: 11/19/2010] [Indexed: 05/30/2023]
Abstract
BACKGROUND Knowledge of the sensory diversity of a wide range of dessert bananas would be helpful in breeding programmes and so diversify the banana market. Descriptive sensory profiling was thus used to assess 13 cultivated bananas and four new triploid hybrids at an eating stage. RESULTS A specific vocabulary was defined to describe the sensory traits of dessert bananas. The 17 cultivars assessed were ranked in five sensory clusters, which differed mainly in the intensity of sourness and sweetness. The first cluster, which contained the standard banana (Cavendish), received the lowest sourness and the highest sweetness and banana flavour scores. The second cluster was the sourest and firmest and had the highest chemical flavour score. The third cluster was characterised by the highest melting score, the fourth by the highest mealiness, astringency, grassy odour and flavour scores and the fifth by a balance between sourness and sweetness and the highest heterogeneous texture score. Firmness and sourness were correlated with rheological pulp firmness and titratable acidity respectively. CONCLUSION The results led to the identification of relevant attributes that grouped the sensory diversity of dessert banana into five clusters. Combined with hedonic data, these results should help breeders to select banana hybrids.
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Affiliation(s)
- Christophe Bugaud
- CIRAD, UMR QUALISUD, PRAM, BP 214, F-97285 Lamentin Cedex 2, Martinique, France.
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Sensory texture of cooked rice is rather linked to chemical than to physical characteristics of raw grain. J Cereal Sci 2011. [DOI: 10.1016/j.jcs.2010.10.001] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Amorim I, Ferreira E, Lima R, Pereira R. Monte Carlo based test for inferring about the unidimensionality of a Brazilian coffee sensory panel. Food Qual Prefer 2010. [DOI: 10.1016/j.foodqual.2009.08.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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TESFAYE W, MORALES M, CALLEJÓN R, CEREZO ANAB, GONZÁLEZ A, GARCÍA-PARRILLA M, TRONCOSO A. DESCRIPTIVE SENSORY ANALYSIS OF WINE VINEGAR: TASTING PROCEDURE AND RELIABILITY OF NEW ATTRIBUTES. J SENS STUD 2010. [DOI: 10.1111/j.1745-459x.2009.00253.x] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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BIANCHI GIULIA, ZERBINI PAOLAECCHER, RIZZOLO ANNA. SHORT-TERM TRAINING AND ASSESSMENT FOR PERFORMANCE OF A SENSORY DESCRIPTIVE PANEL FOR THE OLFACTOMETRIC ANALYSIS OF AROMA EXTRACTS. J SENS STUD 2009. [DOI: 10.1111/j.1745-459x.2008.00200.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Latreille J, Mauger E, Ambroisine L, Tenenhaus M, Vincent M, Navarro S, Guinot C. Measurement of the reliability of sensory panel performances. Food Qual Prefer 2006. [DOI: 10.1016/j.foodqual.2005.04.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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NIELSEN DURITA, HYLDIG GRETHE, SORENSEN RIE. AN EFFECTIVE WAY TO MINIMIZE DRIFTING AND MONITOR THE PERFORMANCE OF A SENSORY PANEL DURING LONG-TERM PROJECTS - A CASE STUDY FROM A PROJECT ON HERRING QUALITY. J SENS STUD 2005. [DOI: 10.1111/j.1745-459x.2005.00002.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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PETIT CECILE, SIEKIERSKI EDOUARD, DANZART MARC. THERMAL PERCEPTIONS AND PREFERENCES IN INDOOR ENVIRONMENTS. J SENS STUD 2004. [DOI: 10.1111/j.1745-459x.2004.091103.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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