Electronic-nose systems for control quality applications in automotive industry

Morvan, M; Talou, Thierry; Gaset, A.; Beziau, Jean-François

doi:10.1016/s0925-4005(00)00495-0

Cited by 24 publications

(6 citation statements)

References 3 publications

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“…About a decade ago, the electronic nose was introduced as a very rapid tool for aroma profile analysis in several fields, including medical diagnosis [9], environmental pollution monitoring [10,11], cosmetics [12], and the automotive industry [13]. More recently, it has become more popular as a nondestructive technique for food analysis.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Lard's Aroma by an Electronic Nose for Rapid Halal Authentication

Nurjuliana

Man

Hashim

2010

J Americ Oil Chem Soc

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An electronic nose was successfully used to detect and discriminate lard from other types of animal body fats and samples containing lard. The results are presented in the form of VaporPrint TM , the image of the polar plot of the odor amplitudes from the surface acoustic wave (SAW) detector frequency. In the VaporPrint TM , the radial angles representing the sensor provides individual fingerprints of the aroma of different animal body fats. Principal component analysis (PCA) was used to interpret the data and it provided a good grouping of samples, with 61% of the variation accounted for by PC 1 and 29% accounted for by PC 2. All of the lard-containing samples formed a separate group from the samples that were free from lard. This method can be developed into a rapid method for detecting the presence of lard in food samples for Halal authentication.

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Section: Introductionmentioning

confidence: 99%

Analysis of Lard's Aroma by an Electronic Nose for Rapid Halal Authentication

Nurjuliana

Man

Hashim

2010

J Americ Oil Chem Soc

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“…sensors, are some examples [2][3][4]. The ethanol breath analyzer is designed to detect ethanol in the breath of drivers in order to reduce the number of road accidents caused by excessive alcohol consumption.…”

Section: Introductionmentioning

confidence: 99%

Ethanol sensors based on Pt-doped tin oxide nanopowders synthesised by gel-combustion

Neri

Bonavita

Micali

et al. 2006

Sensors and Actuators B: Chemical

100

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“…Its applicability as been tested in such diverse fields as the food industry, environmental studies, the automotive industry, microbiology and so on. E-noses have been used to monitor cultivation processes [ 1 ], and indoor air quality [ 2 , 3 ], to discriminate between polymer samples as a means to reduce the unpleasant odor of new cars in the automotive industry [ 4 ], to monitor volatile compounds in the effluent of a domestic wastewater treatment plant [ 5 ] and many more applications. However, in recent times more published literature has described the use of E-noses in food analysis, which includes process monitoring, shelf life investigation, freshness evaluation, authenticity assessment and other quality control studies [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

An Electronic Nose for Reliable Measurement and Correct Classification of Beverages

Mamat

Samad

Hannan

2011

Sensors

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This paper reports the design of an electronic nose (E-nose) prototype for reliable measurement and correct classification of beverages. The prototype was developed and fabricated in the laboratory using commercially available metal oxide gas sensors and a temperature sensor. The repeatability, reproducibility and discriminative ability of the developed E-nose prototype were tested on odors emanating from different beverages such as blackcurrant juice, mango juice and orange juice, respectively. Repeated measurements of three beverages showed very high correlation (r > 0.97) between the same beverages to verify the repeatability. The prototype also produced highly correlated patterns (r > 0.97) in the measurement of beverages using different sensor batches to verify its reproducibility. The E-nose prototype also possessed good discriminative ability whereby it was able to produce different patterns for different beverages, different milk heat treatments (ultra high temperature, pasteurization) and fresh and spoiled milks. The discriminative ability of the E-nose was evaluated using Principal Component Analysis and a Multi Layer Perception Neural Network, with both methods showing good classification results.

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Electronic-nose systems for control quality applications in automotive industry

Cited by 24 publications

References 3 publications

Analysis of Lard's Aroma by an Electronic Nose for Rapid Halal Authentication

Analysis of Lard's Aroma by an Electronic Nose for Rapid Halal Authentication

Ethanol sensors based on Pt-doped tin oxide nanopowders synthesised by gel-combustion

An Electronic Nose for Reliable Measurement and Correct Classification of Beverages

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