• Title/Summary/Keyword: Electronic Nose

Search Result 287, Processing Time 0.027 seconds

Optimization of Sesame oil Extraction from Sesame cake using Supercritical Fluid $CO_{2}$ (초임계유체 $CO_{2}$를 이용한 참깨박 중 참기름 추출의 최적화)

  • Kim, Seong-Ju;Kim, Young-Jong;Chang, Kyu-Seob
    • Korean Journal of Food Science and Technology
    • /
    • v.37 no.3
    • /
    • pp.431-437
    • /
    • 2005
  • Overall experiments were planned by central composite design, and results were analyzed by response surface methodology (RSM) to determine effects of three independent variables, temperature ($X_{1}$), extraction time ($X_{3}$), and pressure ($X_{3}$), on yield of sesame oil extract (Y). Regression equation model optimized by response surface analysis was: Y (sesame oil) = $-3.89+0.07X_{1}+0.03X_{2}+0.0006X_{3}-0.0007X_{1}^{2}-0.0002X_{2}X_{1}-0.00008X_{2}^{2}+0.000004X_{3}X_{1}+0.0000009X_{3}X_{2}-0.00000009X_{3}^{2}$. According to RSM analysis, optimum extracting conditions of temperature, time, and pressure were $45.89^{\circ}C$, 131.89 min, and 34228.41 kPa, respectively, and statistical maximum yield of sesame oil was 96.27%. Fatty acid composition of sesame oil showed sesame oil extracted by Supereritical Fluid $CO_{2}$ contained lower levels of palmitic, stcaric, and oleic acids and higher levels or palmitoleic and linoleic acids than commercial sesame oil. Commercial and extracted sesame oils were analyzed by electronic nose composed of 12 different metal oxide sensors. Obtained data were interpreted by statistical method of MANOVA. Sensitivities of sensors from electronic nose were analysed by principal component analysis. Proportion of first principal component was 99.92%. All sesame oils showed different odors (p < 0.05).

Analysis of Binding Trimethylamine with Rice-washed Solution using Electronic Nose Based on Mass Spectrometer (Mass spectrometer 기반의 전자코를 이용한 트리메틸아민과 쌀뜨물간의 결합 분석)

  • Hong, Eun-Jeung;Son, Hee-Jin;Kang, Jin-Hee;Noh, Bong Soo
    • Korean Journal of Food Science and Technology
    • /
    • v.41 no.5
    • /
    • pp.509-514
    • /
    • 2009
  • The effectiveness of a technique for binding rice-washed solution with trimethylamine (TMA) was investigated in this study. The mixtures of TMA and rice-washed solution were quantified using an electronic nose based on the mass spectrometer. After 7 min of reaction in a model system, the binding of TMA to the rice-washed solution was detected. As the concentration of rice-washed solution increased, the levels of TMA detected in the headspace decreased, thereby indicating an increase in the binding of TMA to the rice-washed solution. The binding effect of the rice-washed solution was comparable to those of starch, ${\alpha}$-cyclodextrin, or amylose, and superior to that of flour. The results of this study demonstrate the potential for reduction of off-flavors using the rice-washed solution.

Discrimination of Geographical Origin of Beef Using Electronic Nose Based on Mass Spectrometer (질량분석기가 연결된 전자코를 사용한 쇠고기의 원산지 판별)

  • Lim, Chae-Lan;Son, Hee-Jin;Hong, Eun-Jeung;Noh, Bong-Soo
    • Korean Journal of Food Science and Technology
    • /
    • v.40 no.6
    • /
    • pp.717-720
    • /
    • 2008
  • In this study, the geographical origin of beef was studied using an electronic nose based on mass spectrometer. Domestic beef was compared with the imported beef from New Zealand and Australia. Each sample was analyzed, and discriminant function analysis was used utilized for the discrimination of geographical origin. The $R^2$ and F-value of discriminant function analysis (DFA)1 were 0.4317 and 14.18, respectively when the samples were separated by geographical origin. The $R^2$ and F-value of DFA1 were 0.8960 and 22.98, respectively when the samples were separated by part of beef.

Changes of Volatile Components in Extracts of Bovine Bone Using an Electronic Nose and Fourier Transform-Near Infrared Spectrometer (전자코와 푸리에 변환 근적외선 분광기를 사용한 사골 추출물의 향기 성분 변화 분석)

  • Jang, Nak-Hoon;Cho, Yon Soo;Park, Su Won;Dong, Hyemin;Han, Hyun Jung;Noh, Bong-Soo
    • Korean Journal of Food Science and Technology
    • /
    • v.46 no.6
    • /
    • pp.734-738
    • /
    • 2014
  • This study was conducted to investigate whether four hot-water extraction steps could effectively remove off-flavor from bovine bone extracts and produce compounds with pleasant aroma. Experiments were performed using a mass spectrometry-electronic nose and Fourier transform-near infrared spectrometer (FT-NIR). Off-flavor compounds were removed by washing and extraction with hot water. Steaming treatment produced compounds with a better aroma, such as 4-methylthiazole. In addition, a change in flavor compounds was observed in treated samples.

Aroma Analysis by the Electronic Nose on Red Ginseng Powder Treated with Gamma Radiation, Methyl Bromide and Phosphine (전자코를 이용한 감마선, methyl bromide 및 phosphine 처리된 홍삼분말의 저장 중 향기패턴 변화 연구)

  • Shin, Jung-Ah;Kwon, Joong-Ho;Lee, Ki-Teak
    • Korean Journal of Food Science and Technology
    • /
    • v.35 no.5
    • /
    • pp.825-829
    • /
    • 2003
  • An electronic nose was applied to analyze the aroma patterns of powdered red ginseng that had been treated with different preservative methods, such as gamma radiation at 5kGy, commercial methyl bromide (MeBr) and phosphine fumigations. Aroma patterns of phosphine or MeBr, fumigated samples were well separated according to storage temperature and period. However, 5kGy-irradiated samples (stored for 1 and 2 months) were hardly discriminated by the different storage temperatures ($25^{\circ}C$ and $-10^{\circ}C$). After 5 months at $-10^{\circ}C$, non-treated and phosphine fumigated samples showed similar aroma patterns.

Antioxidative Capacity and Quality Characteristics of Yanggaeng with Added Collagen Powder (콜라겐을 첨가한 양갱의 항산화 활성과 품질특성)

  • Choi, Jin-Young
    • The Korean Journal of Food And Nutrition
    • /
    • v.28 no.4
    • /
    • pp.710-716
    • /
    • 2015
  • This experiment was carried out to find the quality characteristics of yanggaeng added antioxidant rich collagen powder in the color, sugar contents, texture, radical scavenging activity and electronic nose detected flavor. L value and a value kept decreased as the more collagen powder was added in the yanggaeng while b value was increased significantly at the same time. Sugar contents was increased significantly from $43^{\circ}$Brix in the control to 48% in the 10% treatment (p<0.05). Hardness in the 10% treatment of collagen powder increased biggest among the treatments but springiness decreased when hardness increased. And adhesiveness, cohesiveness, gumminess and chewiness were also increased with more the collagen powder in the treatments, therefore 10% treatment showed biggest result significantly. Radical scavenging activity kept increased with higher addition of collagen powder and it resulted 60% of radical scavenging activity in the 10% treatment. In the flavor test under electronic nose experiment, 10% of collagen powder treatment was believed it flavored most for it was found in the furthest from the AIR location. Control was found also in the nearest from the AIR, which meant it has least flavor than any other treatment. Also 2.5% and 5% of collagen powder added treatments showed little differences of flavor from control, which meant 5% of treatment was believed idea condition in the treatments. With the above experimental results, 5% of collagen powder treatment in the yanggaeng manufacturing was chosed as the best mixture ratio in the test.

Identification of Volatile Compounds of 4 Grape Species by Storage Conditions (전자코와 GC/MS를 이용한 포도 품종별 저장 조건에 따른 휘발성 향기 성분 연구)

  • Lee, Yun-Jeung;Lee, Ki-Teak
    • Journal of the Korean Society of Food Science and Nutrition
    • /
    • v.36 no.7
    • /
    • pp.874-880
    • /
    • 2007
  • Volatile flavor compounds of 4 grape species (Campbell, Sheridan, Red globe, and Meoru) were identified during 3-day storage at either $4^{\circ}C$ or room temperature. Each sample was analyzed by solid-phase micro-extraction (SPME) method combined with gas chromatography-mass spectrometry. Also electronic nose composed of 12 different metal oxide sensors was used to differentiate flavors of grapes. Sensitivities (delta $R_{gas}/R_{air}$) of sensors from electronic nose were obtained by principal component analysis (PCA). Proportion of the first principal component was 99.30% at $4^{\circ}C$ and 99.36% at room temperature, respectively. In our result, flavor patterns of grape can be differentiated according to the storage period. The major volatile flavor compounds were 1-hexanol, hexanoic acid and its ethyl ester, and phenylethyl alcohol with the presence of butanoic acid and its ethyl ester, acetic acid, benzeneacetic acid and its ethyl ester.

Discriminating Eggs from Two Local Breeds Based on Fatty Acid Profile and Flavor Characteristics Combined with Classification Algorithms

  • Dong, Xiao-Guang;Gao, Li-Bing;Zhang, Hai-Jun;Wang, Jing;Qiu, Kai;Qi, Guang-Hai;Wu, Shu-Geng
    • Food Science of Animal Resources
    • /
    • v.41 no.6
    • /
    • pp.936-949
    • /
    • 2021
  • This study discriminated fatty acid profile and flavor characteristics of Beijing You Chicken (BYC) as a precious local breed and Dwarf Beijing You Chicken (DBYC) eggs. Fatty acid profile and flavor characteristics were analyzed to identify differences between BYC and DBYC eggs. Four classification algorithms were used to build classification models. Arachidic acid, oleic acid (OA), eicosatrienoic acid, docosapentaenoic acid (DPA), hexadecenoic acid, monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), unsaturated fatty acids (UFA) and 35 volatile compounds had significant differences in fatty acids and volatile compounds by gas chromatography-mass spectrometry (GC-MS) (p<0.05). For fatty acid data, k-nearest neighbor (KNN) and support vector machine (SVM) got 91.7% classification accuracy. SPME-GC-MS data failed in classification models. For electronic nose data, classification accuracy of KNN, linear discriminant analysis (LDA), SVM and decision tree was all 100%. The overall results indicated that BYC and DBYC eggs could be discriminated based on electronic nose with suitable classification algorithms. This research compared the differentiation of the fatty acid profile and volatile compounds of various egg yolks. The results could be applied to evaluate egg nutrition and distinguish avian eggs.

Distinguishing Aroma Profile of Highly-Marbled Beef according to Quality Grade using Electronic Nose Sensors Data and Chemometrics Approach

  • Utama, Dicky Tri;Jang, Aera;Kim, Gur Yoo;Kang, Sun-Moon;Lee, Sung Ki
    • Food Science of Animal Resources
    • /
    • v.42 no.2
    • /
    • pp.240-251
    • /
    • 2022
  • Fat deposition in animal muscles differs according to the genetics and muscle anatomical locations. Moreover, different fat to lean muscle ratios (quality grade, QG) might contribute to aroma development in highly marbled beef. Scientific evidence is required to determine whether the abundance of aroma volatiles is positively correlated with the amount of fat in highly marbled beef. Therefore, this study aims to investigate the effect of QG on beef aroma profile using electronic nose data and a chemometric approach. An electronic nose with metal oxide semiconductors was used, and discrimination was performed using multivariate analysis, including principal component analysis and hierarchical clustering. The M. longissimus lumborum (striploin) of QG 1++, 1+, 1, and 2 of Hanwoo steers (n=6), finished under identical feeding systems on similar farms, were used. In contrast to the proportion of monounsaturated fatty acids (MUFAs), the abundance of volatile compounds and the proportion of polyunsaturated fatty acids (PUFAs) decreased as the QG increased. The aroma profile of striploin from carcasses of different QGs was well-discriminated. QG1++ was close to QG1+, while QG1 and QG2 were within a cluster. In conclusion, aroma development in beef is strongly influenced by fat deposition, particularly the fat-to-lean muscle ratio with regard to the proportion of PUFA. As MUFA slows down the oxidation and release of volatile compounds, leaner beef containing a higher proportion of PUFA produces more volatile compounds than beef with a higher amount of intramuscular fat.

Analysis of volatile compounds from retort pouches during heating using an electronic nose (전자코를 이용한 가열 중 레토르트 파우치로부터 발생한 휘발성분의 분석)

  • Jung, Hyo Yeon;Park, Eun Young;Choi, Jin Young;Lee, Soo Jin;Noh, Bong Soo
    • Korean Journal of Food Science and Technology
    • /
    • v.49 no.1
    • /
    • pp.14-19
    • /
    • 2017
  • The objective of this study was to analyze the volatile changes occurring in retort pouches during heating using a mass spectrometry-based electronic nose. The data obtained by the electronic nose analysis was used to generate a discriminant function analysis plot. The plot showed that volatile compounds of the heated water in the retort pouch were increased by the interaction between container and water as the heating time increased. Conversely, volatile compounds of the container itself decreased when only the container was measured separately. This result means that volatile compounds from the packaging material migrated into the water. In the case of heated beef bone soup, volatile compounds were increased compared to the unheated beef bone soup after 20 min of heating. According to the results of GC/MS, nonanal and 3,5-di-tert-butyl-4-hydroxytoluene (BHT) were detected in the heated water and nonanal, heptanal, octanal, and BHT were detected in the heated beef bone soup.