ELECTRONIC NOSE CHEMICAL SENSOR VERSUS GAS CHROMATOGRAPHY: A FEASIBILITY STUDY FOR THE DIFFERENTIATION OF APPLE FLAVORS AND ESSENCES

2005 ◽  
Vol 48 (5) ◽  
pp. 2003-2006 ◽  
Author(s):  
W. N. Marrazzo ◽  
P. H. Heinemann ◽  
R. A. Saftner ◽  
R. E. Crassweller ◽  
E. Leblanc
Keyword(s):  
Gas Chromatography ◽  
Feasibility Study ◽  
Electronic Nose ◽  
Chemical Sensor

ELECTRONIC NOSE CHEMICAL SENSOR FEASIBILITY STUDY FOR THE DIFFERENTIATION OF APPLE CULTIVARS

2005 ◽  
Vol 48 (5) ◽  
pp. 1995-2002 ◽  
Author(s):  
W. N. Marrazzo ◽  
P. H. Heinemann ◽  
R. E. Crassweller ◽  
E. LeBlanc
Keyword(s):  
Feasibility Study ◽  
Electronic Nose ◽  
Chemical Sensor ◽  
Apple Cultivars

scholarly journals Identification and Quantification of Olive Oil Quality Parameters Using an Electronic Nose

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 674
Author(s):  
Nawaf Abu-Khalaf
Keyword(s):  
Olive Oil ◽  
Electronic Nose ◽  
Chemical Sensor ◽  
Chemical Constituents ◽  
Oil Quality ◽  
Quality Parameters ◽  
Signal Acquisition ◽  
Good Precision ◽  
Olive Oil Quality ◽  
Quality Categories

An electronic nose (EN), which is a kind of chemical sensor, was employed to check olive oil quality parameters. Fifty samples of olive oil, covering the four quality categories extra virgin, virgin, ordinary virgin and lampante, were gathered from different Palestinian cities. The samples were analysed chemically using routine tests and signals for each chemical were obtained using EN. Each signal acquisition represents the concentration of certain chemical constituents. Partial least squares (PLS) models were used to analyse both chemical and EN data. The results demonstrate that the EN was capable of modelling the acidity parameter with a good performance. The correlation coefficients of the PLS-1 model for acidity were 0.87 and 0.88 for calibration and validation sets, respectively. Furthermore, the values of the standard error of performance to standard deviation (RPD) for acidity were 2.61 and 2.68 for the calibration and the validation sets, respectively. It was found that two principal components (PCs) in the PLS-1 scores plot model explained 86% and 5% of EN and acidity variance, respectively. PLS-1 scores plot showed a high performance in classifying olive oil samples according to quality categories. The results demonstrated that EN can predict/model acidity with good precision. Additionally, EN was able to discriminate between diverse olive oil quality categories.

scholarly journals Diagnosis of COVID-19 by Analysis of Breath with Gas Chromatography-Ion Mobility Spectrometry - A Feasibility Study.

2020 ◽  
Author(s):  
Dorota Ruszkiewicz ◽  
Daniel Sanders ◽  
Rachel O’Brien ◽  
Frederik Hempel ◽  
Matthew J Reed ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Feasibility Study ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility

scholarly journals Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry - a feasibility study

2020 ◽  
Vol 29-30 ◽  
pp. 100609 ◽  
Author(s):  
Dorota M Ruszkiewicz ◽  
Daniel Sanders ◽  
Rachel O'Brien ◽  
Frederik Hempel ◽  
Matthew J Reed ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Feasibility Study ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility
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