2008
DOI: 10.1016/j.snb.2007.12.003
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Electronic tongue for sensing taste changes with apricots during storage

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Cited by 48 publications
(26 citation statements)
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References 12 publications
(11 reference statements)
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“…This e-tongue was used for the recognition of different apricot varieties and detecting taste changes during storage period and the effect of different storage treatments [58]. Furthermore, moderate correlations between e-tongue data and degree Brix (r > 0.80) and pH measurements (r > 0.60) were obtained.…”
Section: Freshness Evaluation and Shelf-life Investigationmentioning
confidence: 96%
See 1 more Smart Citation
“…This e-tongue was used for the recognition of different apricot varieties and detecting taste changes during storage period and the effect of different storage treatments [58]. Furthermore, moderate correlations between e-tongue data and degree Brix (r > 0.80) and pH measurements (r > 0.60) were obtained.…”
Section: Freshness Evaluation and Shelf-life Investigationmentioning
confidence: 96%
“…However, the screen-printing technology allowed for the preparation of miniaturized electrodes, which are promising for the fabrication of low-cost sensors with higher sensibility compared to the corresponding modified carbon paste electrodes. An example of e-tongues application in shelf-life investigation is reported by Kantor et al [58]. In this paper, a commercial potentiometric e-tongue was used (Astree, Alpha-MOS, Toulouse, France).…”
Section: Freshness Evaluation and Shelf-life Investigationmentioning
confidence: 99%
“…A similar work from the same laboratory [110] presented the analysis of tomato cultivation variants according to the recorded "taste" profile from two different electronic tongues, one based on PVC membrane and chalcogenide potentiometric sensors, and other based on ISFET sensors, which showed some degree of complementarity. The electronic tongue was also applied to classify varieties and to correlate with sensory analysis of apricots during harvest and storage [111]. An original contribution [112] used an electronic tongue with 20 ISE sensors, and applied it to the classification of different types of honey, whose grouping correlated well with biological properties such as their pollen profiles.…”
Section: Illustrative Applicationsmentioning
confidence: 99%
“…The e-nose sensors are in contact with the headspace while the e-tongue electrodes are immersed in the sample. Using the e-nose or e-tongue alone may not be sufficient (Di Natale et al 2001;Gomez et al 2008;Kantor et al 2008;Torri et al 2010;Zhang et al 2008), while on the other hand, simultaneous application of e-noses and e-tongues may increase the amount of information extracted from a sample when compared to the information from a single sensory organ (Di Natale et al 2000).…”
Section: Introductionmentioning
confidence: 99%