cheese aroma
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Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8368
Author(s):  
Kouki Fujioka

Cheese aroma is known to affect consumer preference. One of the methods to measure cheese aroma is the use of an electronic nose (e-nose), which has been used to classify cheese types, production areas, and cheese ages. However, few studies have directly compared the aroma intensity scores derived from sensory evaluations with the values of metal oxide semiconductor sensors that can easily measure the aroma intensity. This pilot study aimed to investigate the relationship between sensory evaluation scores and e-nose values with respect to cheese aroma. Five types of processed cheese (two types of normal processed cheese, one type containing aged cheese, and two types containing blue cheese), and one type of natural cheese were used as samples. The sensor values obtained using the electronic nose, which measured sample aroma non-destructively, and five sensory evaluation scores related to aroma (aroma intensity before intake, during mastication, and after swallowing; taste intensity during mastication; and remaining flavor after swallowing (lasting flavor)) determined by six panelists, were compared. The e-nose values of many of the tested cheese types were significantly different, whereas the sensory scores of the one or two types of processed cheese containing blue cheese and those of the natural cheese were significantly different. Significant correlations were observed between the means of e-nose values and the medians of aroma intensity scores derived from the sensory evaluation testing before intake, during mastication, and after swallowing. In particular, the aroma intensity score during mastication was found to have a linear relationship with the e-nose values (Pearson’s R = 0.983). In conclusion, the e-nose values correlated with the sensory scores with respect to cheese aroma intensity and could be helpful in predicting them.


Molecules ◽  
2020 ◽  
Vol 25 (5) ◽  
pp. 1242 ◽  
Author(s):  
Vittorio Capozzi ◽  
Valentina Lonzarich ◽  
Iuliia Khomenko ◽  
Luca Cappellin ◽  
Luciano Navarini ◽  
...  

Mascarpone, a soft-spread cheese, is an unripened dairy product manufactured by the thermal-acidic coagulation of milk cream. Due to the mild flavor and creamy consistency, it is a base ingredient in industrial, culinary, and homemade preparations (e.g., it is a key constituent of a widely appreciated Italian dessert ‘Tiramisù’). Probably due to this relevance as an ingredient rather than as directly consumed foodstuff, mascarpone has not been often the subject of detailed studies. To the best of our knowledge, no investigation has been carried out on the volatile compounds contributing to the mascarpone cheese aroma profile. In this study, we analyzed the Volatile Organic Compounds (VOCs) in the headspace of different commercial mascarpone cheeses by two different techniques: Headspace-Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME GC-MS) and Proton-Transfer Reaction-Mass Spectrometry coupled to a Time of Flight mass analyzer (PTR-ToF-MS). We coupled these two approaches due to the complementarity of the analytical potential—efficient separation and identification of the analytes on the one side (HS-SPME GC-MS), and effective, fast quantitative analysis without any sample preparation on the other (PTR-ToF-MS). A total of 27 VOCs belonging to different chemical classes (9 ketones, 5 alcohols, 4 organic acids, 3 hydrocarbons, 2 furans, 1 ester, 1 lactone, 1 aldehyde, and 1 oxime) have been identified by HS-SPME GC-MS, while PTR-ToF-MS allowed a rapid snapshot of volatile diversity confirming the aptitude to rapid noninvasive quality control and the potential in commercial sample differentiation. Ketones (2-heptanone and 2-pentanone, in particular) are the most abundant compounds in mascarpone headspace, followed by 2-propanone, 2-nonanone, 2-butanone, 1-pentanol, 2-ethyl-1-hexanol, furfural and 2-furanmethanol. The study also provides preliminary information on the differentiation of the aroma of different brands and product types.


2017 ◽  
Vol 8 (2) ◽  
pp. 615-628 ◽  
Author(s):  
E. Guichard ◽  
M. Repoux ◽  
E. M. Qannari ◽  
H. Laboure ◽  
G. Feron

The aim of the present paper was to determine, from four model cheeses differing in fat content and firmness, the respective impacts ofin vivoaroma release, bolus rheology, chewing activity, mouth coating and salivary composition on dynamic aroma perception.


2015 ◽  
Vol 30 (3) ◽  
pp. 247-257 ◽  
Author(s):  
Jun Niimi ◽  
Andrew I. Eddy ◽  
Amy R. Overington ◽  
Patrick Silcock ◽  
Phil J. Bremer ◽  
...  

2014 ◽  
Vol 191 ◽  
pp. 60-68 ◽  
Author(s):  
Alyson L. Yee ◽  
Marie-Bernadette Maillard ◽  
Nathalie Roland ◽  
Victoria Chuat ◽  
Aurélie Leclerc ◽  
...  

2014 ◽  
Vol 145 ◽  
pp. 464-472 ◽  
Author(s):  
Elliott J. Price ◽  
Robert S.T. Linforth ◽  
Christine E.R. Dodd ◽  
Carol A. Phillips ◽  
Louise Hewson ◽  
...  

2014 ◽  
Vol 31 ◽  
pp. 1-9 ◽  
Author(s):  
Jun Niimi ◽  
Andrew I. Eddy ◽  
Amy R. Overington ◽  
Samuel P. Heenan ◽  
Patrick Silcock ◽  
...  
Keyword(s):  

2013 ◽  
Vol 79 (11) ◽  
pp. 3503-3506 ◽  
Author(s):  
Luz P. Gómez de Cadiñanos ◽  
Tomás García-Cayuela ◽  
Mireille Yvon ◽  
M. Carmen Martinez-Cuesta ◽  
Carmen Peláez ◽  
...  

ABSTRACTHydroxyacid dehydrogenases limit the conversion of α-keto acids into aroma compounds. Here we report that inactivation of thepanEgene, encoding the α-hydroxyacid dehydrogenase activity inLactococcus lactis, enhanced the formation of 3-methylbutanal and 3-methylbutanol.L. lactisIFPL953ΔpanEwas an efficient strain producing volatile compounds related to cheese aroma.


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