• Title/Summary/Keyword: electronic nose pattern

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Development of Elsholtzia splendens-Flavored Oils and Analysis of Flavor Pattern Using Electronic Nose (꽃향유 향미유의 개발 및 전자코를 이용한 향기패턴 분석)

  • 정미숙;이미순
    • Korean journal of food and cookery science
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    • v.18 no.4
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    • pp.455-460
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    • 2002
  • This experiment was conducted to obtain basic information on the natural spice of Elsholtzia splendens, which is one of the native Korean aromatic plants for aromatic, medicinal and ornamental uses. The overall acceptability and the masking effects on the fetid smell of beef were investigated with Elsholtzia splendens-flavored oils by sensory evaluation. The ability of an electronic nose with six metal oxide sensors to classify Elsholtzia splendens flavored oils based on their odors was studied. The response by electronic nose was analyzed by principal component analysis (PCA). In EOI, EOII, and ESI, (이것들이 무엇을 의미하는지 기술할 필요가 있음). overall acceptability of French dressing showed a same level of preference during storage. Fetid smell of beef was not changed by the addition of 4 types of Elsholtzia splendens-flavored oil during storage. In EO I -flavored oil, the proportion of 1st principal component was 0.829, and the proportion of 1st principal component was 0.818 in ESI-flavored oil. The PCA plot was used to detect stored Elsholtzia splendens flavored oils.(앞 뒤 문맥이 안맞음. 뒤에 이어지는 글이 있는지\ulcorner).

Analysis of Flavor Pattern from Different Categories of Cheeses using Electronic Nose (전자코를 이용한 다양한 유형의 치즈 제품 풍미성분 분석)

  • Hong, Eun-Jung;Kim, Ki-Hwa;Park, In-Seon;Park, Seung-Yong;Kim, Sang-Gee;Yang, Hae-Dong;Noh, Bong-Soo
    • Food Science of Animal Resources
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    • v.32 no.5
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    • pp.669-677
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    • 2012
  • The objective of this study was to analyze the flavor pattern of different varieties of cheeses. Four of the each following cheese varieties such as shred type pizza cheese, Cheddar cheese, Mozzarella block cheese, and white mold-ripened cheeses, stored at $4^{\circ}C$ during 2 wks were examined before and after cooking at $70^{\circ}C$ and $160^{\circ}C$. Flavor patterns of these cheeses were analyzed using an electronic nose system based on mass spectrometer. All data were treated by multivariate data processing based on discriminant function analysis (DFA). The results showed the discriminant model by DFA method. Data revealed that flavor patterns of pizza cheeses were well separated as storage prolonged and obviously discriminated as the higher the cooking temperature. The result of pattern recognition analysis based on discriminant function analysis showed that new brand of pizza cheese produced by Imsil Cheese Cooperative was located at middle between the flavors of the imported brands of pizza cheese and those of domestic brand of pizza cheeses. Imsil cheese has a unique flavor pattern among other variety of cheeses. Application of pattern recognition analysis by electronic nose might be useful and advanced technology for characterizing in flavor pattern of cheese products from different origins and different categories of cheeses.

Analysis of Flavor Pattern of Various Coffee Beans Using Electronic Nose (원두 종류에 따른 커피의 향기패턴 분석)

  • Kim, Ki Hwa;Kim, Ah Hyun;Lee, Jae Keun;Chun, Myoung Sook;Noh, Bong Soo
    • Korean Journal of Food Science and Technology
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    • v.46 no.1
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    • pp.1-6
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    • 2014
  • An 'electronic nose' based on mass spectrometer and discriminant function analysis (DFA) was used to evaluate the grade of coffee beans. The data obtained from the electronic nose was analyzed by DFA. The discriminant function first score (DF1) of natural coffee beans showed a greater decrease than the different processing methods. Defective coffee beans were separated well from non-defective coffee beans by DF1, which correlated with a weaker flavor than that of the others. Flavor patterns of the defective and the non-defective coffee beans were determined as complementary information. The flavor patterns obtained in this study can explain, in a simplified way, the differences between the defective and the non-defective coffee beans.

Application of GC-SAW(Surface Acoustic Wave) Electronic Nose to Classification of Origins and Blended Commercial Brands in Roasted Ground Coffee Beans (GC-SAW(Surface Acoustic Wave) 전자코를 활용한 볶은 커피의 원산지 및 배합 커피의 상품별 분류)

  • Seo, Han-Seok;Kang, Hee-Jin;Jung, Eun-Hee;Hwang, In-Kyeong
    • Korean journal of food and cookery science
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    • v.22 no.3 s.93
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    • pp.299-306
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    • 2006
  • The numerous varieties of coffee beans contain a wide range prices and qualities. While the varieties of green coffee beans can generally be distinguished by their appearance, this visual criterion is impossible after the roasting process. Therefore, we need to develop a classification method or device. In this study, the potential of a new type of electronic nose, fast gas chromatography based on a surface acoustic wave sensor(SAW), was evaluated for the classification of origins and blended commercial brands in roasted coffee beans. Eight blended commercial brands and the origins of four similarly roasted ground coffee beans(with no significant difference of color) were rapidly(90 sec/sample) classified. The reproductive results were easily understandable over the aroma image pattern by $VaporPrint^{TM}$. In conclusion, GC-SAW electronic nose can be applied to the classification of origins and commercial brands in roasted ground coffee beans and to e evaluation of the similarities and differences of volatile pattern between samples.

Application of Electronic Nose in Discrimination of the Habitat for Black Rice (전자코를 이용한 검정현미의 산지판별)

  • Cho, Yon-Soo;Han, Kee-Young;Kim, Jung-Ho;Kim, Su-Jeong;Noh, Bong-Soo
    • Korean Journal of Food Science and Technology
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    • v.34 no.1
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    • pp.136-139
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    • 2002
  • The discrimination of the agricultural origin, especially locally produced of imported products such as black rices was investigated by using electronic nose. Volatile components from these products were discriminated by six metal oxide sensors without pretreatment. Pattern recognition was carried out. Principal component analysis showed the differences between imported and locally produced ones. The number of 57 from 69 species of black rices were recognized as locally produced one (83.33%) and 11 from 13 species one (imported black rices) was correctly discriminated. Unknown habitat of black rice could be identified by artificial neural network system whether the imported or not. Also commercial electronic nose (E-nose 5000) that was combined with metal oxide sensor and conducting polymer sensor showed 92.75% (locally produced black rices) and 92.31% (imported one) of discrimination.

Aroma Pattern Analysis of Hanwoo Beef (M. longissimus) using Electronic Nose during Refrigerated Storage (전자 코를 이용한 한우 등심육의 냉장저장 중 향기 패턴 분석)

  • Lee Sung Ki;Kim Ju Yong;Kim Yong Sun
    • Food Science of Animal Resources
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    • v.24 no.3
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    • pp.260-265
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    • 2004
  • This study was carried out to investigate aroma patterns of Hanwoo (Korean cattle) beef using electronic nose during refrigerated storage, and to compare these results with chemical quality (pH, TBARS). The M. longissimus muscle from Hanwoo carcasses after 24 hrs postmortem was obtained and stored at 5${\pm}$1$^{\circ}C$ for 7 days. Sensitivity (dR/RO) values among electronic nose data were changed differently during refrigerated storage, and showed significant difference on the 7th day of storage (p<0.01). The dR/RO from SY/G, SY/AA, SY/Gh, SY/gCTl, SY/gCT decreased but those from SY/LG, T30/1, P10/1, P10/2, P40/1, T70/2, PA2 increased during storage for 7 days. Mapping these data using PCA (principal component analysis) showed that the 1st day data were present in the middle of the right side, the 3rd day data were present in bottom part of this area and the 7th day data spread out more widely on the left side. In case of DFA (discriminant factor analysis), the flock clustered round and located in different side clearly comparing with PCA plot. In analysis of correlation coefficients among electronic nose data and chemical quality data, there was significant correlation among sensor data (p<0.001). But pH and TBARS were not significantly correlated with electronic nose data. Consequently, PCA and DFA plot by electronic nose data showed difference during refrigerated storage and there were significant correlations among sensors. Therefore it will be possible to detect separate aroma patterns of Hanwoo beef using electronic nose.

Prediction of Kimchi Aging Using Electronic Nose System (전자코를 이용한 배추김치의 숙성도 예측)

  • Shin Jung-Ah;Choi Sang-Won;Lee Ki-Teak
    • Food Science and Preservation
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    • v.12 no.6
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    • pp.613-616
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    • 2005
  • The aging degree of Kimchi fermented at $4^{\circ}C$ for 29 days was evaluated by the correlation between the flavor and the acidity analysis. The Kimchi fermentation induced a gradual reduction in pH and an increase in acidity from $0.26\%$ (initial) to $1.15\%$ (29th day). Flavor pattern of the fermented Kimchi was obtained by the electronic nose system with 12 metal oxide sensors. Electronic nose analysis could differentiate the flavor profiles of Kimchi according to the fermentation periods, making 5 group in the principal component analysis (PCA) plot Therefore, aging degree of Kimchi could be differentiated by flavor patterns analysed by electronic nose.

Application of Electronic Nose for Aroma Analysis of Persimmon Vinegar Concentrates (감식초 농축액들의 향기성분 분석에 대한 전자코의 적용)

  • Lee, Boo-Yong
    • Korean Journal of Food Science and Technology
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    • v.31 no.2
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    • pp.314-321
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    • 1999
  • This study was performed to test application possibility of electronic nose with 32 conducting polymer sensor arrays for aroma analysis of persimmon vinegar. The 20, 30, 40, 50, 60, and $70^{\circ}Bx$ persimmon vinegar concentrates were prepared by vacuum concentration at $55^{\circ}C$. The recovery yield of water soluble solid to concentrates was 55.5% on $20^{\circ}Bx$ persimmon vinegar concentrate. As the concentration of persimmon vinegar concentrates increased, pH of concentrates increased and acidity as acetic acid decreased. From sensory evaluation for persimmon vinegar concentrates, as the concentration of persimmon vinegar concentrates increased, their cooking odor and umami taste increased, sour taste and acidic odor decreased, salty odor and astringency were not changed. Aroma analysis by electronic nose (AromaScan) showed no difference in normalized pattern and odor intensity among persimmon vinegar concentrates. All quality factors among concentrates also were less than 1.042. And so the electronic nose with conducting polymer sensor was not suitable for aroma analysis of persimmon vinegar concentrate.

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Neural network algorithm for VOC gas recognition and concentration estimation at field screen using E-Nose System

  • Kim, Jeong-Do;Byun, Hyung-Gi;Ham, Yu-Kyung;Lee, Jun-Sub;Shon, Won-Ryul;Heo, Nam-Up
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.61.3-61
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    • 2001
  • Field screening for pollutants has been a target of instrumental development for number of years. An electronic nose can be of substantial benefit to rapidly localize the spatial extent of a pollution or to find pollutant source. Although an electronic nose cannot separate complex composition into the whole spectrum of present volatile organic compound(VOC) in pollutants such as Gas chromatography(GC), qualitative and semi-quantitative chemical characterizations are rapidly available on site at a low cost using the optimum sensory system and pattern recognition algorithm based on neural network.

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Effect of UV-B Irradiation on Vitamin $D_2$ Contents, Color Value and Flavor Pattern in Pleurotus ostreatus (자외선 B파 조사가 느타리버섯의 비타민 $D_2$ 함량, 색도 및 향 패턴에 미치는 영향)

  • Lee, Jin-Sil
    • Korean journal of food and cookery science
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    • v.23 no.1 s.97
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    • pp.99-106
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    • 2007
  • This study investigated the effect of UV-B irradiation on the quality of Pleurotus ostreatus. The changes of vitamin $D_2$ contents, color value and flavor pattern in mushrooms were analyzed by high-performance liquid chromatography (HPLC), chromameter and gas chromatography - surface acoustic wave (GC-SAW) electronic nose. By exposure to UV-B irradiation (0 kj/m$^2$, 10 kj/m$^2$, 20 kj/m$^2$), vitamin $D_2$ content increased from 0 (control) to 48.50 g/g (DM: dry matter, 10 kj/m$^2$) and 61.58 g/g (DM, 20 kj/m$^2$). Although there was no significant difference in L, a, b values among the three groups, flavor changes were detected by GC-SAW electronic nose. The number of peaks increased from 10 in the control group (0 kj/m$^2$), to 14 and 15 for the 10 kj/m$^2$ and 20 kj/m$^2$ groups, respectively. Nevertheless, the changes of flavor pattern were not detrimental to the mushroom quality. These results suggested that UV-B irradiation is an effective method to increase the vitamin $D_2$ content without degrading the quality.