2021
DOI: 10.1149/1945-7111/abe3a2
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Observation of Spontaneous Maturation Process of Young Wine by Application of the Voltammetric Quadruple Disk Iridium Sensor Combined with Chemometrics

Abstract: This paper describes a straightforward strategy, which enabled monitoring of the natural young wine maturation and calculation of the time elapsed since the harvest. Samples of four natural young wines from the Polish vineyard have been measured during the period of late fermentation (day 14th and 35th since the harvest) and early maturation (day 54th, 119th and 229th since the harvest). Wine fingerprints were recorded by differential pulse voltammetry (DPV) using a quadruple disc iridium electrode (q-DIrE). P… Show more

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Cited by 6 publications
(2 citation statements)
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“…Utilizing the differential pulse voltammetry technique (DPV) and a glassy carbon electrode (GC), the data was obtained during the study of medical plant profiles [11]. The same technique, but in combination with ET, was used during the analysis of seasonal changes in honeys [12] and while observing the maturation process of young wine [13]. An e-tongue consisting of eight metal wires (Au, Pt, Rh, Ir, Cu, Co, Ag, and Ni) was utilized in conjunction with LAPV to profile five vegan milks [14].…”
Section: Introductionmentioning
confidence: 99%
“…Utilizing the differential pulse voltammetry technique (DPV) and a glassy carbon electrode (GC), the data was obtained during the study of medical plant profiles [11]. The same technique, but in combination with ET, was used during the analysis of seasonal changes in honeys [12] and while observing the maturation process of young wine [13]. An e-tongue consisting of eight metal wires (Au, Pt, Rh, Ir, Cu, Co, Ag, and Ni) was utilized in conjunction with LAPV to profile five vegan milks [14].…”
Section: Introductionmentioning
confidence: 99%
“…4,5 The most common tools for this purpose are PCA (Principal Component Analysis), PLS (Partial Least Square), and ANN. 6 An electronic tongue for observing the spontaneous maturation process of young wine was developed by Wójcik et al with the aid of PCA and PLS, 7 Ciosek and contributors in 2006 used an ET and Support Vector Machine (SVM) neural network to classify milk, 8 while Tahri et al in 2017 used an electronic tongue for classification of aroma using PCA, HCA (Hierarchical Cluster Analysis), PLS, and SVM. 9 Many sensory data have nonlinear behavior variables, and forcing a nonlinear model makes the model imprecise.…”
mentioning
confidence: 99%