• Journal of Biomedical Engineering Research
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• v.25 no.5
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• pp.329-334
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• 2004

The electronic nose (E-nose) recently finds its applications in medical diagnosis, specifically on detection of diabetes, pulmonary or gastrointestinal problem, or infections by examining odors in the breath or tissues with its odor characterizing ability. The odor recognition performance of E-nose can be improved by manipulating the sensor array responses of vapors in time-profile forms. The different chemical interactions between the sensor materials and the volatile organic compounds (VOC's) leave unique marks in the signal profiles giving more information than collection of the conventional piecemal features, i.e., maximum sensitivity, signal slopes, rising time. In this study, to use them in vapor recognition task conveniently, a novel time-profile method was proposed, which is adopted from digital image pattern matching. The degrees of matching between 8 different vapors were evaluated by using the proposed method. The test vapors are measured by the silicon-based gas sensor array with 16 CB-polymer composites installed in membrane structure. The results by the proposed method showed clear discrimination of vapor species than by the conventional method.

• Korean Journal of Food Science and Technology
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• v.32 no.1
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• pp.9-16
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• 2000

Aroma of various extracts of Agastache rugosa O. Kuntze was analyzed by electronic nose with 32 conducting polymer sensor arrays. The 57 extracts were prepared by extraction solvents (hot water, ethanol and NaCl solution), extraction temperatures $(100,\;80\;and\;60^{\circ}C)$, solvent mixture ratios of solvent (10 times 35 times) and parts of Agastache rugosa O. Kuntze(flower, leaf and stem). Aroma pattern of Agastache rugosa O. Kuntze extracts showed big difference in normalized pattern and odor intensity with extraction temperatures and parts, but showed no difference with extraction solvents. Especially in the case of ethanol extracts, because odor of ethanol itself was very strong, difference in aroma of extracts with extraction temperatures and parts did not show through the electronic nose. The organoleptic characteristics such as mint odor, grassy odor, mint taste, medicinal herb taste and sweetness for Agastache rugosa O. Kuntze extracts were determined by the profile test and the result of sensory evaluation by quantitative descriptive analysis was explained to QDA diagram. In correlation with the result of aroma analysis by electronic nose and the sensory evaluation, difference in aroma pattern among the extracts concretely brought to light definite characteristics such as mint odor and mint taste.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.2
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• pp.137-143
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• 2013

This study is to develop the production method of stepwise dilution gas for the evaluation of complex odor concentration by orifice tube. The basic orifice tube for 10 and 30 times of dilution sample was made at first, and with the combination of the basic orifice tubes we can continuously manufacture the stepwise dilution sample gas for air dilution sensory test ; 10, 30, 100, 300, 1,000, 3,000 times etc. The hole size of orifice tube was 0.84 mm for 10 times of dilution sample, and was 0.34 mm for 30 times. Dilution sample gas made with the basic orifice tube have an excellent reproducibility, 2%RSD. In addition, over 90% of correlation was shown between the sample made by the orifice tube and the sample by the syringe dilution method. Because there was no concentration drift of dilution gas with changes of connected pump flow, the basic orifice tube could be mounted directly with a vacuum suction box, and could be used simply as a tool for the evaluation of odor, especially on site.

• Korean Journal of Food Science and Technology
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• v.20 no.3
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• pp.441-446
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• 1988

Alkaline treatment during preparation of anchovy extracts was studied for its changes in some of the physicochemical and sensory qualities. The dried anchovy was blended in 0-0.5N NaOH solutions and then incubated at $60^{\circ}C$ for 6 hours. After extraction the suspensions were neutralized and centrifuged. The results showed that the yields of solids and protein were increased by 3-5 fold of those of water extract as alkaline concentration and treatment time increased. The intrinsic viscosity showed little changes for the extracts prepared with 0-0.2N NaOH solution while the extracts prepared with over 0.3N NaOH resulted a initial small decrease followed by a rapid increase to the maximum point. The changes in color expressed as Hunter 'L', 'a' and 'b' values showed that the L value increased rapidly until 3 hours of treatment followed by a decrease, and 'a' and 'b' values were increased a little. The intensities of odor and taste were markedly increased by 2-3 fold for all of the descriptions investigated where clam-like odor and taste and sea complex odor were particularly significant.

• Journal of Sensor Science and Technology
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• v.32 no.3
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• pp.187-193
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• 2023

Previous research has explored early expression of fire signs before the burning of insulation. To achieve this, typically, automatic inspections are used to detect gas emitted from odor capsules at electrical connection points; additionally, early fire signs can be expressed using visual inspection of changes in the appearance of temperature caps. However, early detection of electrical fire is often difficult because only specific inspections, which are not complex, are performed. Therefore, in this paper, we present complex inspection techniques, such as visual inspection, odor inspection, and automatic inspection, and propose a showing material of fire signs that can solve conventional problems. In addition, this study examines the conditions under which the candidate material for the showing material is designed, the composition of the candidate material selected based on the designed conditions, the manufacturing means used to produce the showing material considering the temperature for early expression of fire signs, and the performance of the produced showing material. Furthermore, we analyze various effects that can occur through the proposed display material.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.9
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• pp.1641-1647
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• 2006

A dual micro gas sensor way for detecting reducing gas and bad order was fabricated using nano sized $SnO_2$ thin film fabrication method. To make nano-sized thin gas sensitive $SnO_2$ thin rilm, thin tin metal layer $2500{\AA}$ thick was oxidized between 600 and $800^{\circ}C$ by thermal oxidation. The gas sensing layers such as $SnO_2,\;SnO_2(+Pt)\;and\;SnO_2(+CuO)$ were patterned by metal shadow mask for simple fabrication process on the silicon substrate. The micro gas sensors with $SnO_2(Pt)$ and $SnO_2(+CuO)$ showed good selectivity to CO gas among reducing gases and good sensitivity to $H_2S$ that is main component of bad odor, separately.

• Journal of Food Hygiene and Safety
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• v.35 no.5
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• pp.430-437
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• 2020

This is an approach study on the sensory properties (taste and odor) of 15 types of Korean conventional soups and stews using electronic nose and tongue. The relative sensor intensity for the taste components of the samples using electronic tongue was demonstrated. By SRS (sourness) sensor, sogogi-baechuguk (beef and cabbage soup) had the highest rate of 9.0. The STS (saltiness) sensor showed the highest score of 8.2 for ojingeoguk (squid soup). For the UMS (umami) sensor, which identifies savoriness, the sogogi-baechuguk was the highest at 10.1. The SWS (sweetness) sensors showed relatively little difference, with sigeumchi-doenjangguk (spinach and bean paste soup) at the highest of 7.3. According to the BRS sensor, which tests for bitterness, the siraegi-doenjangguk (dried radish green and bean paste soup) was the highest at 7.8. By principal component analysis (PCA), we observed variances of 56.21% in principal component 1 (PC1) and 25.23% in PC2. For each flavor component, we observed -0.95 and -0.20 for factor loading of PC1 and PC2 for SRS sensors, 0.96 and 0.14 for STS sensors, and -0.94 and 0.22 for PC1 and PC2 for UMS sensors, and PC1 and 0.22 for PC1 and PC2 loading for SWS sensors. The similarity between the samples identified by clustering analysis was largely identified by 4 clusters. A total of 25 kinds of volatile compounds in 15 samples were identified, and the ones showing the highest relative content in all samples were identified as ethanol and 2-methylthiophhene. The main ingredient analysis confirmed variances of 28.54% in PC1 and 20.80% in PC2 as a result of the pattern for volatile compounds in 15 samples. In the cluster analysis, it was found to be largely classified into 3 clusters. The data in this study can be used for a sensory property database of conventional Korean soups and stews using electronic sensors.

• Journal of Sensor Science and Technology
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• v.27 no.2
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• pp.118-125
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• 2018

An evaluation system for an electronic-nose concept using three types of metal oxide gas sensors that react similarly to the human olfactory cells was constructed for the quantitative and qualitative evaluation of aroma fragrances. Four types of aroma fragrances (lavender, orange, jasmine, and Roman chamomile), which are commonly used in aromatherapy, were evaluated. All the gas sensors reacted remarkably to the aroma fragrances and the good correlation of r=0.58-0.88 with the aromatic odor intensities by olfaction was confirmed. From the results of the analysis of an electronic-nose concept for classifying the characteristics of aroma oil fragrances, aroma oils could be classified using the fragrance characteristics and oil extraction methods with the cumulative variability contribution rate of 95.65% (F1: 69.65%, F2: 26.03%) by principal component analysis. In the pattern recognition based on the artificial neural network, the four aroma fragrances were 100% recognized through the training data of 56 cases (70%) out of 80 cases, and the pattern recognition rate was 57.1%-71.4% through the validation and testing data of 24 cases (30%). The pattern recognition success rate through all confusion matrices was 82.1%, indicating that the classification of aroma oil fragrances using the three types of gas sensors was successful.

• Journal of Food Hygiene and Safety
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• v.36 no.6
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• pp.537-545
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• 2021

This study investigated the characteristics of taste and flavor in various wintering-radish extracts using electronic sensors. Sourness showed the highest sensor value (6.9) in hot brewed extracts of white radish part. Saltiness showed the highest sensor value (8.0) in cold brewed extracts of green radish part. Umami showed the highest sensor value (8.3) in hot brewed extracts of white radish part. Sweetness showed the highest sensor value (6.8) in cold brewed extracts of green radish part. Bitterness showed the highest sensor value (7.5) in espresso extracts of green radish part. A total of 16 volatiles were identified using electronic nose. Among these volatile compounds in radish extracts, methanethiol was found to be the predominant volatile compound. These sensory characteristics in radish extracts can be used as basic research data in the food industry.

• Journal of the Korean Society of Tobacco Science
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• v.35 no.1
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• pp.20-27
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• 2013

An Electronic Nose(E-Nose) and Gas Chromatography/Mass Spectroscopy (GC/MS) are meanwhile conventional technique to analyze volatile materials in many industries (e.g., food, medicine, environment) and have broad acceptance in the analysis of tobacco products. In this study, an experiment where tin oxide gas sensor array responses and GC/MS profiles are used to characterize the volatile compounds of different cigarettes at the same time is performed and the measurements of two instruments are compared for cigarette samples with a known chemical information. E-Nose and GC/MS were employed to differentiate and match flavored cigarettes with commercial tobacco flavoring agents (lavender, vanilla, peppermint, orange, star anise). For verifying reliability of two systems, the analyses were conducted in terms of amount of flavors in each cigarettes using partial least squares (PLS) and with the principal components analysis (PCA). Various chemical sensors and GC/MS data was reduced into two principal factors (PC1, PC2) for being distinguished with visualized regions. Both systems provided adequate results for odor characteristics of cigarettes in this study with each instrument having its own advantages and disadvantages.