Enoforum 2021
IVES 9 IVES Conference Series 9 Enoforum Web 9 Enoforum Web Conference 2021 9 Fingerprinting as approach to unlock black box of taste

Fingerprinting as approach to unlock black box of taste

Abstract

The black box of taste is getting unlocked. The starting point is to distinguish taste from tasting. Consider taste as a product characteristic; tasting is a sensorial activity. Consequently, taste can be studied on a molecular level and therefore be assessed more objectively, whilst tasting is a human activity and by definition subjective.

 

P. Klosse (2004) developed a model to describe taste. This model has been further developed and tested in practice to analyse the taste profile of wines and beers. Mouthfeel sensations and their intensities are the key parameters of this model. Three classes of mouthfeel are distinguished: ‘contracting’, ‘coating’ and ‘drying’. The molecular compounds and the intensity of their contribution to mouthfeel have been identified, just like interaction effects. Newly developed instruments are used to measure the physico-chemical characteristics of these molecules. The individual scores of coating, contracting and drying elements of a sample give a ‘fingerprint’. A computer model calculates the coordinate that indicates the taste of the product.

 

This system has been successfully tested to classify wines and beers. Results indicate this approach gives useful insights in flavor composition. From a production perspective these insights can be used to enhance desired or suppress undesired compounds. The fingerprints allow an objective comparison of different wines. From a commercial perspective, producers can gather insights in consumer liking. In addition, the consumer gets more certainty that the purchased wine meets his expectations. Furthermore, the profile can be used in food pairing and as a basis for machine learning. The first web application of this approach has been introduced to the market.

DOI:

Publication date: April 23, 2021

Issue: Enoforum 2021

Type: Article

Authors

Peter Klosse1, Boudewijn Klosse2, Georgios Agorastos3, Adam Dijkstra4 

1 The Academy for Scientific Taste Evaluation, T.A.S.T.E. foundation, Garstkampsestraat 11, 6611 KS Overasselt, The Netherlands
2 Tasters International, Amersfoortseweg 90, 7346AA Hoog Soeren, The Netherland
3 Faculty of Science and Engineering department, Maastricht University Campus Venlo, Maastricht University, 5911 AA Venlo, The Netherlands
4 Analysis Center De Colonjes, Bredeweg 2, 6562 DE Groesbeek, The Netherlands

Contact the author

Keywords

fingerprinting, mouthfeel model, classification, chemometrics, consumer preferences, taste

Tags

Enoforum 2021 | IVES Conference Series

Citation

Related articles…

Oenococcus oeni clonal diversity in the carbonic maceration winemaking

This essay was aimed to describe the clonal diversity of Oenococcus oeni in the malolactic fermentation of the carbonic maceration (CM) winemaking. The free and the pressed liquids from CM were sampled and compared to the wine from a standard winemaking with previous destemming and crushing (DC) of grapes [1]. O. oeni strain typification was performed by PFGE as González-Arenzana et al. described (2014) [2]. Results showed that 13 genotypes, referred as to letters, were distinguished from the 49 isolated strains, meaning the genotype “a” the 27%, the “b” the 14%, the “c” the 12%, the “d and e” the 10 % each other, and the remaining ones less than the 8% each one.

Présentation d’une méthodologie de caractérisation des terroirs et valorisation par l’étude de l’effet terroir sur la typicité et l’originalité du produit vin dans la région des Côtes du Rhône

In the global economic context, an Appellation d’Origine Contrôlée must now more than ever control the typicity and originality of the wines it produces. It is in this spirit that the Côtes du Rhône have decided to acquire the means necessary for this control.

PINKING PHENOMENA ON WHITE WINES: RELATION BETWEEN PINKING SUSCEPTIBILITY INDEX (PSI) AND WINE ANTHOCYANINS CONTENT

Pinking is the emergence of pink tones in white wines exclusively produced from white grape varieties, known as pinking phenomena for many years. Pinking is essentially appeared when white wines are produced under reducing conditions [1,2,3]. Pinking usually occurs after bottling and storage of white wines, but its appearance has also been described after alcoholic fermentation or even as soon as the grape must is extracted [4]. Therefore, the purpose of this work was to investigate the existence of an-thocyanins in white wines made from different white grape varieties and grown locations and critically evaluate the most common method used for predicting pinking appearance in white wines: the Pinking Susceptibility Index (PSI).

Comparative study of qualitative and quantitative characters of grape cultivar ‘Mavrodafni’ (Vitis vinifera L.) grown in different regions of the PDO Mavrodafni Patras

‘Mavrodafni’ (Vitis vinifera L.) is considered one of the oldest grapevine cultivars indigenous to the Greek vineyard, with western Peloponnese being its primary center of cultivation. ‘Renio’ is considered to be either a variant of ‘Mavrodafni’ or an altogether different cultivar. Both ‘Mavrodafni’ and ‘Renio’ can be found in the vineyards of the centers of cultivation, since ‘Renio’ is considered to be more productive compared to ‘Mavrodafni’, and for this reason, it has gradually replaced ‘Mavrodafni’ from cultivation over the course of time. The aim of the present study was to assay the mechanical properties, the polyphenolic content and the antioxidant capacity of skin extracts and must of berries coming from ‘Mavrodafni’ and ‘Renio’, cultivated in the same vineyard as well as in the different regions of cultivation of the PDO Mavrodafni Patras.

Using image analysis for assessing downy mildew severity in grapevine

Aim: Downy mildew is a crucial disease in viticulture. In-field evaluation of downy mildew has been classically based on visual inspection of leaves and fruit. Nevertheless, non-invasive sensing technologies could be used for disease detection in grapevine. The aim of this study was to assess downy mildew severity in grapevine leaves using machine vision.