• Title/Summary/Keyword: aroma analysis

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Analysis and Evaluation of Degrees of Contribution of Aroma Components in Hongro Apples (홍로사과의 향에 영향을 주는 향 성분 분석과 기여도 평가)

  • Koh, Jin-Tae;Yu, Young-Jae;Kim, Man-Goo
    • Korean Journal of Food Science and Technology
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    • v.41 no.6
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    • pp.603-608
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    • 2009
  • In this study, "Hongro" apples for test samples were selected from a market for aroma analysis. Analysis was done after 1 hr, in a forming headspace while maintaining a temperature of $25^{\circ}C$. First, the complex aroma of the apples was assessed by a Direct Sensory Method. Secondly, the complex aroma was analyzed under individual aroma conditions separated by GC/FID/Olfactometry. Finally, aroma component analysis by GC/MS was performed. Degrees of contribution of aroma components were evaluated by an aroma value calculation considering aroma duration time, frequency, and intensity. The contribution rate (%) of the aroma induction component influencing apple aroma was determined by aroma component analysis and aroma contribution degree. As a result, it was found that the top four components were as follows, by contribution rate (%): acetic acid (23%), 1-hexanol (16%), butyl ethanoate (13%), 4-methoxy-2-methylbutane (9%). These four components constitute the complex aroma tested by the direct sensory method, and was largely recognized by the apple aroma test panel. Consequently, it was found that these components are the key factors in apple aroma. If the mechanism of formation of these components can be found, it could have a significant influence on consumers' acceptance of new varieties of apples.

Characteristic Classification of Aroma Oil with Gas Sensors Array and Pattern Recognition (가스센서 어레이와 패턴인식을 활용한 아로마 오일의 특성 분류)

  • Choi, Il-Hwan;Hong, Sung-Joo;Kim, Sun-Tae
    • 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.

An Implementation of the Olfactory Recognition Contents for Ubiquitous (유비쿼터스를 위한 후각 인식 컨텐츠 구현)

  • Lee, Hyeon Gu;Rho, Yong Wan
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.4 no.3
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    • pp.85-90
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    • 2008
  • Recently, with the sensor technology, research about the electronic nose system which imitated the olfactory organ are being pushed actively. But, in case of general electronic nose system, an aroma is measured at the laboratory space where blocked external environment and is analyzed a part of measured data. In this paper, we propose the system which can measure and recognize an aroma in natural environment. We propose the Entropy algorithm which can detect the sensor reaction section among the continuous detection processing about an aroma. And we implement the aroma recognition system using the PCA(Principal Components Analysis) and K-NN(K-Nearest Neighbor) about the detected aroma. In order to evaluate the performance, we measured the aroma pattern, about 9 aroma oil, 50 times respectively. And we experimented the aroma detection and recognition using this. There was an error of 0.2s in the aroma detection and we get 84.3% recognition rate of the aroma recognition.

Physicochemical and sensory characteristics of commercial top-fermented beers (시판 상면발효맥주의 관능 및 이화학 특성 분석)

  • Sung, Se-ah;Lee, Seung-Joo
    • Korean Journal of Food Science and Technology
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    • v.49 no.1
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    • pp.35-43
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    • 2017
  • The sensory characteristics of 12 commercial top-fermented beers were determined by sensory descriptive analysis. Beer samples were also analyzed for soluble solids, titratable acidity, pH, reducing sugar content, bitterness unit (BU), turbidity, hunter color values, amino acid content, total phenolic content, and DPPH radical scavenging activity. Five appearance, nine aroma, six flavor/taste, and four mouth-feel related sensory attributes were evaluated by a panel of nine judges. As the result of three way analysis of variance of descriptive data, all sensory attributes except "cereal" aroma and "salty" taste showed significant differences among the beers (p<0.05). Based on the principal component analysis of the descriptive data, samples were primarily separated by first and second principal components, which accounted for 78% of the total variance between the beers with high intensities of "yellow color", "caramel aroma", and "barley taste" versus "hop aroma", "sour", and "citrus aroma". In the correlation analysis between the sensory terms and physicochemical parameters, BU, total phenolic content, titratable acidity, soluble solids, and yellowness ($b^*$) showed significant positive correlations with citrus aroma, pineapple aroma, and fresh aroma characteristics.

A Study on the Effect of Aroma Massage Therapy on Normal Vaginal Delivery (아로마 마사지요법이 초산모의 정상분만에 미치는 영향)

  • An, Eun-Jin;Hong, Sang-Jin
    • Journal of Oriental Neuropsychiatry
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    • v.17 no.1
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    • pp.121-127
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    • 2006
  • Objective : As this is a quasi-experimental study by the post-test design for a nonequivalent control group, it was attempted to verify the effect of massage using aroma oil on whether or not the normal vaginal delivery of primiparous mothers. Methods : As for the experimental treatment, it applied the aroma oil massage to the experiment group when the cervical dilatation was $4{\sim}5cm$, and as for the data analysis, it conducted the significance test using the program of SPSS 12K for Windows, with Chi-square test $(X^2)$ and t-test. Results : The experiment group that carried out the aroma massage therapy, was high in the cases of normal vaginal delivery(P<0.05), compared to the control group that did not carry out the aroma massage therapy. Conclusion : The experiment group, which received the aroma massage therapy, had significant difference in the cases of normal vaginal delivery, compared to the control group that did not receive the aroma therapy, thus the aroma massage therapy is thought to be a nursing-intervention plan, which can be usefully applied as to the primiparous mothers aiming at normal vaginal delivery.

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Identification of Character-impact Aroma Compounds and Comparisons of Sensory Attributes of Traditional Korean Medicinal Rice Wines Brewed with Functional Herbal Powders or Extracts

  • Lee, Gyu-Hee;Shin, Young;Chang, Yeong-Il;Jeong, Jae-Hong;Chang, Kyu-Seob;O, Man-Jin
    • Preventive Nutrition and Food Science
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    • v.7 no.4
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    • pp.405-410
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    • 2002
  • Rice wine was prepared with medicinal plants or plant extracts to obtain a value added nutritious alcoholic tonics. Powders of ten medicinal plants (PTM) or aqueous extracts prepared from them (ATM) were added during the initial stage of fermentation. Aroma compounds of rice wine (control) and wines containing PTM or ATM were isolated by liquid-liquid continuous solvent extraction (LLCSE) and analyzed by gas chromatography-olfactometry and aroma extract dilution analysis (AEDA). Desirable aroma compounds: acetaldehyde (sweet, ethereal), benzaldehyde (sweet, fragrant), ethyl acetate (sweet) and ethyl octanoate (sweet, ethanolic) had the highest log$_3$-flavor dilution (FD) factors in ATM. Results of sensory evaluation demonstrated that intensities of undesirable aroma attributes, such as koji and yeasty notes in control, and raw medicinal herb notes in PTM, were lowest in wine with ATM. Wines made with ATM had the most attractive aroma attributes among the three different traditional Korean medicinal wines.

Identification of Aroma-Active Compounds in Korean Salt-Fermented Fishes by Aroma Extract Dilution Analysis 2. Aroma-Active Components in Salt-Fermented Shrimp on the Market (AEDA법에 의한 한국한 젓갈류의 Aroma-Active 성분의 구명 2. 시판 새우젓의 Aroma-Active 성분)

  • Cha, Yong-Jun;Kim, Hun;Jang, Sung-Min;Park, Jee-Young
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.28 no.2
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    • pp.319-325
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    • 1999
  • Volatile flavor compounds in Korean salt fermented shrimp on the market were analyzed by vacuum simultaneous distillation solvent extraction/gas chromatography/mass spectrometry/olfac tometry(V SDE/GC/MS/O) and aroma extract dilution anlaysis(AEDA). A total of 32 volatile com pounds were detected by GC/O analysis. Of these, 18 were positively identified, and composed of S containing compounds(5), aldehydes(4), ketones(3), N containing compounds(3), ester(1), alcohol(1) and aromatic hydrocarbon(1). Predominant odorants(Log3FD$\geq$4) in salt fermented shrimp were 2,3 butanedione(sour/buttery), 1 octen 3 one(earthy/mushroom like), dimethyl trisulfide(cooked cabbage /soy sauce like) and 2 acetylthiazole(grainy/nutty). Predominant free amino acids were aspartic acid, glutamic acid(sour and umami taste), arginine, methionine(bitter) and lysine(sweet and bitter) in evaluation of taste value.

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Statistical Analysis of Effective Components for Aroma of Sigumjang

  • Choi, Ung-Kyu;Park, June-Hong
    • Food Science and Biotechnology
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    • v.14 no.2
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    • pp.249-254
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    • 2005
  • The relationship between Sigumjang gas chromatographic patterns precisely analyzed with capillary column and ranked order in sensory analysis was investigated by stepwise multiple regression analysis. Highly predictable multiple regression models were obtained in the analysis. Ninety percent of the Sigumjang aroma was explained by the regression models at step 15 in four transformation except for absolute value transformed with root square and relative value transformed with logarithm. The aroma of Sigumjang was most affected by 2,3-dimethylpyrazine at absolute value and absolute value transformed with logarithm and by 2-furancarboxaldehyde in other transformation. The quality of sigumjang was highly affected by ${\beta}$-phallendrenal, methylpyrazine, tetramethylpyrazine, 5-methyl-2-furancarboxaldehyde, unknown 2, octanoic acid, 4-ethylphenol, methyl 10,13-octadecanoate and ethyl linoleate.

Analysis of arousal effects of warning sound and aroma using EDA (EDA를 이용한 경고음과 향기자극의 각성효과 분석)

  • Kim, Youn-Ho;Ko, Han-Woo
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.19-22
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    • 1997
  • This paper studies the arousal effects of aroma and warning sound using EDA(Electrodermal Activity:EDA), Aroma stimulus started at Nz value over 1.2. Warning sound was prepared according to the arousal evaluation and control criteria. As a result, the warning sound could be controlled the arousal level in all the mKSS state. Aroma stimulus was able to prevent drowsy more than warning sound in the mKSS 3 state(the first stage of drowsiness). Therefor, aroma stimulus was can be used for arousal control at that state. Futhermore, arousal control was shown to be more effective with presentation of both aroma and warning sounds than each presentation.

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Evaluation of Barley Bran Sauce Aroma by Multiple Regression Analysis

  • Choi, Ung-Kyu
    • Food Science and Biotechnology
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    • v.14 no.5
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    • pp.656-660
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    • 2005
  • The relationship between the gas chromatographic (GC) patterns of sauce made of barley bran and ranked order in sensory analysis was investigated by multiple regression analysis (MRA). Most of the 42 barley bran sauce samples comprised about 34 peaks, in which the content of 9, 12-octadecanoic acid methyl ester was the highest, followed by those of 2-furanmethanol and 2-furancarboxaldehyde. It is difficult to estimate the aroma quality of barley bran sauce samples on the basis of only one peak. The 34 aroma compounds of the 42 samples were analyzed by an MRA model featuring six transformations. The most precise fit was calculated from the absolute value transformed with the root square of each peak, and the multiple determination coefficient showed that 91.6% of the variation in the sensory score could be explained on the basis of GC data.