2022
DOI: 10.1016/j.talanta.2022.123213
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Deep learning assisted distinguishing of honey seasonal changes using quadruple voltammetric electrodes

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Cited by 4 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%
“…A deep convolutional neural-network was used to classify honey based on the results from a multi-electrode differential pulse voltammetry. The honeys were grouped into 12 classes by PCA and then labeling for the classification was completed on the basis of the type and time of harvesting of the honeys [174].…”
mentioning
confidence: 99%