ANN-Integrated Electronic Nose and zNosetm System for Apple Quality Evaluation

2007 ◽  
Vol 50 (6) ◽  
pp. 2285-2294 ◽  
Author(s):  
C. Li ◽  
P. H. Heinemann
Keyword(s):  
Electronic Nose ◽  
Quality Evaluation ◽  
Apple Quality

scholarly journals Comparison of an Electronic Nose Based on Ultrafast Gas Chromatography, Comprehensive Two-Dimensional Gas Chromatography, and Sensory Evaluation for an Analysis of Type of Whisky

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Paulina Wiśniewska ◽  
Magdalena Śliwińska ◽  
Tomasz Dymerski ◽  
Waldemar Wardencki ◽  
Jacek Namieśnik
Keyword(s):  
Gas Chromatography ◽  
Sensory Evaluation ◽  
Electronic Nose ◽  
Quality Evaluation ◽  
Consumer Preferences ◽  
Function Analysis ◽  
Alcoholic Beverages ◽  
Two Dimensional ◽  
The Usa ◽  
Fast Gc

Whisky is one of the most popular alcoholic beverages. There are many types of whisky, for example, Scotch, Irish, and American whisky (called bourbon). The whisky market is highly diversified, and, because of this, it is important to have a method which would enable rapid quality evaluation and authentication of the type of whisky. The aim of this work was to compare 3 methods: an electronic nose based on the technology of ultrafast gas chromatography (Fast-GC), comprehensive two-dimensional gas chromatography (GC × GC), and sensory evaluation. The selected whisky brands included 6 blended whiskies from Scotland, 4 blended whiskies from Ireland, and 4 bourbons produced in the USA. For data analysis, peak heights of chromatograms were used. The panelists who took part in sensory evaluations included 4 women and 4 men. The obtained data were analyzed by 2 chemometric methods: partial least squares discriminant analysis (PLS-DA) and discrimination function analysis (DFA). E-nose and GC × GC allowed for differentiation between whiskies by type. Sensory analysis did not allow for differentiation between whiskies by type, but it allowed giving consumer preferences.

scholarly journals Ripe nectarines segregated through sensory quality evaluation and electronic nose assessment

Fruits ◽  
2011 ◽  
Vol 66 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Rodrigo Infante ◽  
Pía Rubio ◽  
C. Meneses ◽  
L. Contador
Keyword(s):  
Electronic Nose ◽  
Sensory Quality ◽  
Quality Evaluation

Quality Evaluation of Green and Dark Tea Grade Using Electronic Nose and Multivariate Statistical Analysis

2019 ◽  
Vol 84 (12) ◽  
pp. 3411-3417 ◽  
Author(s):  
Haibo Yuan ◽  
Xiaoqiang Chen ◽  
Yundong Shao ◽  
Yong Cheng ◽  
Yanqin Yang ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Electronic Nose ◽  
Multivariate Statistical Analysis ◽  
Quality Evaluation ◽  
Multivariate Statistical

scholarly journals Development of a Dual MOS Electronic Nose/Camera System for Improving Fruit Ripeness Classification

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3256 ◽  
Author(s):  
Li-Ying Chen ◽  
Cheng-Chun Wu ◽  
Ting-I. Chou ◽  
Shih-Wen Chiu ◽  
Kea-Tiong Tang
Keyword(s):  
Electronic Nose ◽  
Quality Evaluation ◽  
Camera System ◽  
Camera Systems ◽  
Class Separability ◽  
Peel Color ◽  
Fruit Maturity ◽  
Volatile Organic ◽  
Non Destructive

Electronic nose (E-nose) systems have become popular in food and fruit quality evaluation because of their rapid and repeatable availability and robustness. In this paper, we propose an E-nose system that has potential as a non-destructive system for monitoring variation in the volatile organic compounds produced by fruit during the maturing process. In addition to the E-nose system, we also propose a camera system to monitor the peel color of fruit as another feature for identification. By incorporating E-nose and camera systems together, we propose a non-destructive solution for fruit maturity monitoring. The dual E-nose/camera system presents the best Fisher class separability measure and shows a perfect classification of the four maturity stages of a banana: Unripe, half-ripe, fully ripe, and overripe.

Electronic nose for black tea quality evaluation by an incremental RBF network

2009 ◽  
Vol 138 (1) ◽  
pp. 90-95 ◽  
Author(s):  
Bipan Tudu ◽  
Arun Jana ◽  
Animesh Metla ◽  
Devdulal Ghosh ◽  
Nabarun Bhattacharyya ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Quality Evaluation ◽  
Black Tea ◽  
Rbf Network ◽  
Tea Quality
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