2022
DOI: 10.1155/2022/8472661
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Electronic Nose for Differentiation and Quantification of Yeast Species in White Fresh Soft Cheese

Abstract: Detection of food spoilage with simple and fast methods is an important issue in food security and safety. The present study is mainly aimed at identifying and quantifying four yeast species in white fresh soft cheese using an electronic nose (EN). The yeast species Pichia anomala, Pichia kluyveri, Hanseniaspora uvarum, and Debaryomyces hansenii were used. Six concentrations of each yeast species (100, 200, 400, 600, 800, and 1000 cells/g cheese) were inoculated in 100 g of fresh soft cheese and incubated for … Show more

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Cited by 10 publications
(11 citation statements)
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References 23 publications
(26 reference statements)
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“…This response suggests that the e-nose can be used successfully to detect VOCs from fresh cheese [13]. Similar results have been reported by Abu-Khalaf et al [14] and Fujioka [5], who used electronic devices to evaluate VOCs in dairy products. However, according to Ampuero and Bosset [23] and Mu et al [24], using diverse electronic noses with various sensors and manufacturing protocols reduces the possibility of consistent comparison of sensor affinity to the types of VOCs.…”
Section: Discussionsupporting
confidence: 86%
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“…This response suggests that the e-nose can be used successfully to detect VOCs from fresh cheese [13]. Similar results have been reported by Abu-Khalaf et al [14] and Fujioka [5], who used electronic devices to evaluate VOCs in dairy products. However, according to Ampuero and Bosset [23] and Mu et al [24], using diverse electronic noses with various sensors and manufacturing protocols reduces the possibility of consistent comparison of sensor affinity to the types of VOCs.…”
Section: Discussionsupporting
confidence: 86%
“…Each sensor possesses different functions in the adsorption of VOCs, producing varying degrees of response due to their polymer composition, for example, polyvinyl butyral, polyvinyl acetate, polystyrene, and polyethylene oxide. The degree of response can be measured by the conduction of nanoparticles (black carbon and carbon nanotubes) [13,14].…”
Section: Electronic Nose (E-nose) Analysismentioning
confidence: 99%
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“…Most studies on E-noses aim to detect the characteristic odor alteration according to a distinct change in the growth of bacteria during the fermentation process. For example, an E-nose based on MOS was used to identify four yeast species (Pichia anomala, Pichia kluyveri, Hanseniaspora uvarum and Debaryomyces hansenii) in white fresh soft cheese [147]. The results showed a good prediction of cheese spoilage by using PLS models.…”
Section: E-nose For Lactic Acid Fermentationmentioning
confidence: 99%
“…Chemical and biological sensor technologies have recently become popular analytical tools for complex liquid analysis [8][9][10]. Human smell and taste sensing have been mimicked by the electronic nose (EN) and the electronic tongue (ET) devices (gas and liquid sensors, respectively) and their communication with the human brain [8,[11][12][13][14][15][16][17]. Liquids and complex solutions can be analyzed using ET systems.…”
Section: Introductionmentioning
confidence: 99%