• Korean Journal of Food Science and Technology
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• v.45 no.2
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• pp.142-147
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• 2013

This study was conducted to evaluate and compare new beer (NB) with market beers, e.g., New castle brown ale (NC), Victoria bitter (VB), and Coopers pale ale (CP) using physicochemical parameters. In addition, pattern recognition analyses were carried out using an electronic nose based on mass spectrometry (MS-E nose) and an electronic tongue (E-tongue) for differentiation of the different types of beer. The measured alcohol content of NB was 4.37%. NB was not significantly different compared with other types of beer with regard to bitterness unit, color, and polyphenol content (p<0.05). On the basis of the flavor pattern determined by the MS-E nose, NB was separated by DF1 (first score from discriminant function analysis), while NC, VB, and CP were located in the same group. The result of the E-tongue showed that the different samples could be clearly discriminated; NB was less sour. It was suggested that the discriminant function analysis (DFA) given by the MS-E nose and E-tongue could be used for evaluations during new product development. Furthermore, because of its simplicity, it might be possible to use the validated method for the evaluation of beer.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.6
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• pp.724-730
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• 2006

Two types of powdered chungkookjang, were prepared by a hot air-drying process, and the freeze-drying, and composition and aroma patterns were examined. The fresh chungkookjang was composed of 53.8% moisture, while the hot air-dried and freeze-dried powdered chungkookjang contained 5.2% moisture, $39.3{\sim}39.4%$ crude protein, $18.6{\sim}18.7%$ crude lipid, $4.7{\sim}5.0%$ crude ash, and $31.7{\sim}32.2%$ carbohydrate. The pH of the each powered chungkookjang was similar, ranging from 6.5 to 6.7. The freeze-dried powdered chungkookjang showed the highest lightness (67.30), yellowness (59.37) while the highest redness (43.1) was observed in the hot air-dried chungkookjang. Each chungkookjang was analysed by an electronic nose with metal oxide 12 sensors and SPME-GC/MS. The response by the electronic nose was analysed by principal component analysis (PCA). The proportion of the first principal component was 90.47%, suggesting that each aroma pattern of the prepared chungkookjang was discriminated. SPME-GC/MS was used to identify the pyrazines. The percentage of pyrazines observed in the fresh chungkookjang, freeze-dried powdered chungkookjang, and hot air-dried powdered chungkookjang was 6.6, 3.8 and 15.9%, respectively. A higher overall preference was obtained from the hot air-dried powdered chungkookjang than with the freeze-dried powdered chungkookjang.

• Korean journal of food and cookery science
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• v.18 no.4
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• pp.448-454
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• 2002

This study was performed to develop Cnidium officinale-flavored oils. Cnidium officinale is one of the Korean aromatic medicinal plants. The flavor patterns of Cnidium officinale-flavored oils during storage were detected by using an electronic nose with 6 metal oxide sensors, and a principal component analysis (PCA) was carried out. The overall acceptability of flavor and the masking effects on fetid smell of beef of Cnidium officinale-flavored oils were investigated by sensory evaluation. In COI-flavored oil, flavor patterns between the storage samples for 1 week and 16 weeks could be distinguished. And in CO II-flavored oil, flavor patterns between the samples stored for 1 week and 8 weeks and the flavor patterns between the samples stored for 1 week and 16 weeks in CS I-flavored oil could be distinguished. In CS II-flavored oil, flavor patterns of the samples stored for 1, 4, and 8 weeks also could be distinguished. Fetid smell in beef was significantly reduced by the addition of COI- and CS II-flavored oils. As the storage time increased, overall acceptability of Cnidium officinale-flavored oil decreased, indicating that Cnidium officinale-flavored oils were most preferred at 8 weeks of storage.

• Korean Journal of Food Science and Technology
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• v.30 no.5
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• pp.1051-1057
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• 1998

The discrimination of the agricultural origin, especially locally produced or imported from the products such as Ganoderma lucidum, sesame and arrowroot were investigated by using the electronic nose. Volatile components from these products were discriminated by twelve of conducting polymer sensors without any pretreatment. Pattern recognition was carried out. Multiple discriminant analysis showed the difference between imported agricultural product and locally produced ones such as Ganoderma lucidum, sesame and arrowroot. Unknown habitat of sesame and arrowroot could be identified by multiple discriminant analysis whether the imported or the locally produced one.

• Korean Journal of Plant Resources
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• v.31 no.6
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• pp.641-651
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• 2018

Floral scents and metabolites from cut flowers of 14 peony cultivars (Paeonia lactiflora Pall.) were analyzed to discriminate different cultivars and to compare the Korean cultivar with the other cut peonies imported to Korea using electronic nose (E-nose) and Fourier transform infrared (FT-IR) spectroscopy combined with multivariate analysis, respectively. Principal component analysis (PCA) and discriminant function analysis (DFA) dendrogram of peony floral scents were not precisely same but there were 3 groups including same cultivars. PCA and partial least squares-discriminant analysis (PLS-DA) dendrograms of peony metabolites showed that different cut peony cultivars were clustered into two major groups including same cultivars. Fragrance pattern of Korean 'Taebaek' was classified to same group with 'Jubilee' on the PCA and DFA results and its metabolite pattern was clearly discriminated by the PCA and PLS-DA compared to the other cultivars. These results show that the 14 peony cut flowers could be discriminated corresponding to their chemical relationship and the metabolic profile of Korean 'Taebaek' has distinctive characteristics. Furthermore, we suggest that these results could be used as the preliminary data for breeding new cut peony cultivars and for improving the availability of Korean cut peony in cosmetic industry.

• Korean Journal of Food Science and Technology
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• v.34 no.6
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• pp.947-953
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• 2002

Two types of electronic nose were used for investigating the quality of dried lavers stored at 5, 15, and $30^{\circ}C$ RH of 32, 43, and 75%. The electronic nose is composed of metal oxide sensors, and GC is based on SAW sensor. Quality change in dried lavers was described in terms of the sensitivities $(R_{gas}/R_{air})$ of the sensors. Principal component analysis (PCA) was carried out using data obtained from six metal oxide sensors. The first principal component scores were correlated with quality changes of dried lavers. As storage time increased, the stored laver cluster separated from that of fresh lavers. A chromatogram was obtained from GC based on SAW sensor. Olfactory image, A $VaporPrint^{TM}$ image for pattern recognition, showed a significant difference between the stored and the fresh samples. Dried lavers during storage at $30^{\circ}C$ and 75% had bacterial counts of $5.7{\times}10^6\;CFU/g$ after 8 day. Increase of microbial count correlated with the response of electronic nose $(r^2=0.87)$. Whereas, color values showed no correlation.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.50 no.6
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• pp.447-452
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• 2005

This study was performed to investigate the differences among the 44 varieties of Japonica rice by using the electronic nose. The volatile patterns of milled rice and its cooked rice were generated by twelve metal oxide sensors (MOS). The MSO responses were evaluated by principal component analysis and cluster analysis. Milled rice was classified into three groups; Group I included most of varieties, Group II was Daejinbyeo, Chucheongbyeo, and Group III was Mangumbyeo, Nampyeongbyeo, Shindongjinbyeo. But the discrimination of cooked rice was not identified. Also the result of correlation analysis appeared that the volatile of milled rice was not significantly related to that of cooked rice. Electronic nose system was considered as not depend on our study results sufficient to predict the volatile pattern of cooked rice.

• Proceedings of the IEEK Conference
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• 2002.06b
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• pp.297-300
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• 2002

Application of electronic nose and PLD chip design was developed to be used in gas discrimination system for limited kinds of gas. An array of 4 metal oxide gas sensors with different selectivity patterns were used in order to measure gases. BP(Back Propagation) algorithm was designed and implemented on CPLD of two hundred thousand gate level chips by VHDL language for processing input signals from 4 kinds of gas sensors. This module successfully discriminated 4 kinds of gases and displayed the results on LCD and LED. The developed module could be used for various applications in the field of food process control and alcohol judgment.

• Proceedings of the IEEK Conference
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• 2001.06b
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• pp.309-312
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• 2001

A primitive gas classification system which can classify limited species of gas was designed and simulated. The 'electronic nose' consists of an array of 4 metal oxide gas sensors with different selectivity patterns, signal collecting unit and a signal pattern recognition and decision Part in PLD(programmable logic device) chip. Sensor array consists of four commercial, tin oxide based, semiconductor type gas sensors. BP(back propagation) neutral networks with MLP(Multilayer Perceptron) structure was designed and implemented on CPLD of fifty thousand gate level chip by VHDL language for processing the input signals from 4 gas sensors and qualification of gases in air. The network contained four input units, one hidden layer with 4 neurons and output with 4 regular neurons. The 'electronic nose' system was successfully classified 4 kinds of industrial gases in computer simulation.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.10a
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• pp.114-114
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• 2018

Among the various volatile organic compounds (VOCs) emitted by the plant, floral scent plays a key role in attracting pollinators for reproduction and mediates ecological interactions. Floral scent is an important trait and industry drives the competition for flowers with novel scents. Chrysanthemum is one of the well-known ornamental plants and is a popular cut flower across the world. Floral scent and the genes responsible for the floral scent emission are poorly studied in chrysanthemum. In the present study, floral scent and the expression pattern of floral scent genes were analyzed in two chrysanthemum cultivars 'Golden Egg' and 'Gaya Glory'. Initially, intensity of the floral scent in five developing stages of flower including 'budding (B), bud developing (BD), initial blooming (IB), almost open (AO) and open flower (OF)' was analyzed using electronic nose (E-nose) with six metal oxide sensors. Based on the distance analysis, different stages of flower showed different relative intensity of scent according to the sensory evaluation. Although the scent pattern differed by stage, scent intensity was strongest in the OF stage in the completely opened flower in both the cultivars. Further, expression pattern of six genes in the floral scent pathway including FDS, IDI, ISPH, TPS2, TPS5 and TPS6 was observed in all the five stages of the flower in both the cultivars. The expression pattern of all the six genes differed by stage and the terpene synthase genes TPS2, TPS5 and TPS6 showed good expression levels in the $5^{th}$ flower stage compared to other stages. This study provides a preliminary data for understanding the regulation of floral scent in chrysanthemum.