Identification of alcoholic beverages by coupling gas chromatography and electronic nose

2007 ◽  
pp. 404-411 ◽  
Author(s):  
J. A. Ragazzo ◽  
P. Chalier ◽  
J. Crouzet ◽  
C. Ghommidh
Keyword(s):  
Gas Chromatography ◽  
Electronic Nose ◽  
Alcoholic Beverages

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.

Rapid Measuring Flavor Quality Changes of Frying Rapeseed Oils using a Flash Gas Chromatography Electronic Nose

2019 ◽  
Vol 121 (5) ◽  
pp. 1800260 ◽  
Author(s):  
Lirong Xu ◽  
Xu Li ◽  
Jianhua Huang ◽  
Pan Gao ◽  
Qingzhe Jin ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Electronic Nose ◽  
Quality Changes ◽  
Flavor Quality

scholarly journals Detecting Pulmonary Oxygen Toxicity Using eNose Technology and Associations between Electronic Nose and Gas Chromatography–Mass Spectrometry Data

Metabolites ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 286
Author(s):  
Thijs T. Wingelaar ◽  
Paul Brinkman ◽  
Rianne de Vries ◽  
Pieter-Jan A.M. van Ooij ◽  
Rigo Hoencamp ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Electronic Nose ◽  
Oxygen Toxicity ◽  
Partial Least Square ◽  
Least Square ◽  
Sensor Data ◽  
Gas Chromatography Mass Spectrometry ◽  
Exhaled Breath ◽  
Chromatography Mass Spectrometry

Exposure to oxygen under increased atmospheric pressures can induce pulmonary oxygen toxicity (POT). Exhaled breath analysis using gas chromatography–mass spectrometry (GC–MS) has revealed that volatile organic compounds (VOCs) are associated with inflammation and lipoperoxidation after hyperbaric–hyperoxic exposure. Electronic nose (eNose) technology would be more suited for the detection of POT, since it is less time and resource consuming. However, it is unknown whether eNose technology can detect POT and whether eNose sensor data can be associated with VOCs of interest. In this randomized cross-over trial, the exhaled breath from divers who had made two dives of 1 h to 192.5 kPa (a depth of 9 m) with either 100% oxygen or compressed air was analyzed, at several time points, using GC–MS and eNose. We used a partial least square discriminant analysis, eNose discriminated oxygen and air dives at 30 min post dive with an area under the receiver operating characteristics curve of 79.9% (95%CI: 61.1–98.6; p = 0.003). A two-way orthogonal partial least square regression (O2PLS) model analysis revealed an R² of 0.50 between targeted VOCs obtained by GC–MS and eNose sensor data. The contribution of each sensor to the detection of targeted VOCs was also assessed using O2PLS. When all GC–MS fragments were included in the O2PLS model, this resulted in an R² of 0.08. Thus, eNose could detect POT 30 min post dive, and the correlation between targeted VOCs and eNose data could be assessed using O2PLS.

scholarly journals Application of electronic nose to effectiveness monitoring of air contaminated with toluene vapors biofiltration process

2018 ◽  
Vol 57 ◽  
pp. 02014
Author(s):  
Bartosz Szulczyński ◽  
Piotr Rybarczyk ◽  
Jacek Gębicki
Keyword(s):  
Gas Chromatography ◽  
Removal Efficiency ◽  
Electronic Nose ◽  
Environmental Isolates ◽  
Effectiveness Monitoring ◽  
Toluene Concentration ◽  
On Line ◽  
Reliable Quantification ◽  
Odorous Compound ◽  
Mlr Model

The research presents the application of electronic nose (combined with MLR model) to on-line effectiveness monitoring of biofiltration of air contaminated with hydrophobic, odorous compound (toluene vapors). The research was conducted using two-section biotrickling filter inhabited by Candida environmental isolates. Gas chromatography was used as the comparative technique to obtain reliable quantification of toluene concentration in the samples. After about 200 hours of the process, a removal efficiency of 49% was obtained.

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