Abstract
Electronic nose with sensors is used in many industries and for various applications such as quality control, process monitoring, shelf life evaluation, origin or authenticity assessment. The aim of this work was to investigate the electronic nose with FID detectors applicability for characterization of steamed cheese and for the assessment of steamed cheese quality decay during storage. Samples of smoked and unsmoked steamed cheese varieties from 5 Slovak enterprises concerning different regions of Slovakia were analysed. Data from aroma profiles were processed by statistical technique PCA. Compounds like acetaldehyde, 1-propanal, propanoic acid, ethyl hexanoate, furfural, butan-2-one, isovaleric acid, 1-hexanol or α-pinene were determined as significant flavours in fresh steamed cheese samples. In the current study, no significant differences in aroma profiles between fresh and stored cheese samples were confirmed. Thus, differences in main odour substances composition of steamed cheese varieties, obtained from various producers in several geographic regions of Slovakia, were minor.
Highlights
Electronic nose (e-nose) is an odour detection device using a sensor array (Delgado-Rodríguez et al, 2012)
Samples of smoked and unsmoked fresh steamed cheese from suppliers no. 2, no. 3, no. 4 and no. 5 were differed in their aroma profiles in the PC2 axis (3.34%)
It is assumed that these manufacturers use a different way for cheese smoking in terms of wood used in combustion process. Cheese types such as Italy mountain cheese, Camembert cheese, Mozzarella cheese, Cheddar cheese etc. are the subject of number of studies (Carafa et al, 2019; Batty, Waite-Cusic, Meunier-Goddik, 2019; Kim et al, 2014; Velasco et al, 2019), which are of a different cheese type as our investigated samples are, and it is not possible to comapre the results of the Slovak steamed cheese samples with the results of the studies mentioned above
Summary
Electronic nose (e-nose) is an odour detection device using a sensor array (Delgado-Rodríguez et al, 2012). Many industries use e-nose for diverse applications such as quality control (Li et al, 2017; Xu et al, 2017; Gancarz et al 2017; Chen et al, 2018; Buratti et al, 2018), process monitoring, durability assessment, origin ranking and originality (Wilson and Baietto, 2009; Śliwińska et al, 2014; Li et al, 2017). The use of e-nose analysis is a rapid, easy, reliable, accurate and nonpolluting method practice
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