• Title/Summary/Keyword: electronic.nose

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Evaluating the Potential of Korean Mudflat-Derived Penicillium nalgiovense SJ02 as a Fungal Starter for Manufacturing Fermented Sausage

  • Sujeong Lee;Jeehwan Choe;Minji Kang;Minkyoung Kang;Sooah Kim;Sangnam Oh
    • Food Science of Animal Resources
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    • v.44 no.4
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    • pp.912-933
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    • 2024
  • The objective of this study was to isolate, identify, and evaluate novel Korean starter cultures for use in fermented sausages. A total of 72 strains were isolated from various indigenous sources, including Nuruk, Jeotgal, and mudflats on the west coast of South Korea. Two strains were identified as Penicillium nalgiovense (SD01 and SJ02), a traditional starter used in the production of fermented sausages. A comparative analysis was performed between SD01 and SJ02 using the commercial starter culture (M600). Strain SJ02 exhibited superior lipolytic and proteolytic activities, as well as an enhanced growth rate at the optimal salinity level of 2% NaCl compared to M600. No significant differences were observed in thiobarbituric acid reactive substances values, sausage colors, and texture properties between SJ02 and M600 fermented sausages, except for adhesiveness. Profiles of mycotoxin-related genes were similar for both strains. Electronic nose analysis revealed distinct aroma profiles between SJ02 and M600 fermented sausages, with a relatively higher levels of propan-2-one and butyl butanoate in SJ02, and a higher level of ethanol and propanal in M600. In electronic tongue analysis, there was no significant differences in taste characteristics between SJ02 and M600. These results indicate that P. nalgiovense SJ02 is a potential starter culture to produce dry fermented sausages, enhancing Korean style cured meat processing industry.

Study on Ways to Improve the Quality of Black Goat Meat Jerky and Reduce Goaty Flavor through Various Spices

  • Da-Mi Choi;Hack-Youn Kim;Sol-Hee Lee
    • Food Science of Animal Resources
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    • v.44 no.3
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    • pp.635-650
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    • 2024
  • In this study, we analyzed the physicochemical and sensory properties of black goat jerky marinated with various spices (non-spice, control; rosemary, RO; basil, BA; ginger, GI; turmeric, TU; and garlic, GA). The physicochemical properties of black goat jerky analyzed were pH, water holding capacity, color, cooking yield, shear force, and fatty acid composition. The sensory characteristics were analyzed through the aroma profile (electronic nose), taste profile (electronic tongue), and sensory evaluation. The pH and water holding capacity of the GI showed higher values than the other samples. GI and GA showed similar values of CIE L* and CIE a* to that of the control. The shear force of the GI and TU was significantly lower than that of other samples (p<0.05). Regarding fatty acid composition, GI showed high unsaturated and low saturated fatty acid contents compared with that of the other samples except for RO (p<0.05). In the aroma profile, the peak area of hexanal, which is responsible for a faintly rancid odor, was lower in all treatment groups than in the control. In the taste profile, the umami of spice samples was higher than that of the control, and among the samples, GI had the highest score. In the sensory evaluation, the GI sample showed significantly higher scores than the control in terms of flavor, aroma, goaty flavor, and overall acceptability (p<0.05). Therefore, marinating black goat jerky with ginger powder enhanced the overall flavor and reduced the goat odor.

Investigation of taste and flavor properties of radish varieties harvested in Korea using electronic tongue and electronic nose (전자혀와 전자코 분석을 이용한 국내산 무 품종의 감각특성)

  • Hong, Seong Jun;Boo, Chang Guk;Heo, Seong Uk;Jo, Seong Min;Jeong, Hyangyeon;Yoon, Sojeong;Lee, Youngseung;Park, Sung-Soo;Shin, Eui-Cheol
    • Korean Journal of Food Science and Technology
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    • v.53 no.4
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    • pp.375-381
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    • 2021
  • This study investigated the physicochemical properties and chemosensory characteristics of radish samples. Brix results in Matdong-radish showed the highest value (1.5±0.1%), and Mansahyungtong-radish showed the lowest. In terms of salinity, Mansahyungtong-radish had the highest value (1.2±0.1%), and there were no significant differences among samples except Mansahyungtong-radish. In pH analysis, Cheongjunggowon-radish had the highest value at 6.69±0.02. The pH in Mansahyungtong-radish showed the lowest value at 6.10±0.01. In the electronic tongue, sourness was high in the Seoho-radish (8.2), and saltiness was high in the Matdong-radish (8.1). Umami was high in the Seoho-radish (8.3), and sweetness was high in the Matdong-radish (8.1). In the electronic nose, sulfur-containing compounds were high in all the samples. Methanethiol, which represented the odor description of cabbage, garlic, and sulfurous, was abundant in sulfur-containing compounds. Multivariate analysis using physicochemical and chemosensory properties can be used as a database for the food industry.

A Physico-chemical Characteristics of Low Sidestream Cigartette Papers and the Delivery Patterns of Mainstream and Sidestream Smoke (저부류연 궐련지의 이화학적 특성과 주 $\cdot$ 부류연 연기성분 이행특성)

  • Kim Soo-Ho;Ko Dongkyun;Lim Heejin;Shin Chang-Ho;Lee Young-Taek;Kim Chung Ryul;Lee Dong-Wook;Kim Jong-Yeol
    • Journal of the Korean Society of Tobacco Science
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    • v.27 no.1 s.53
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    • pp.83-93
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    • 2005
  • This study was conducted to evaluate the effect of additives in low sidestream cigarette papers, such as Mg$(OH)__2,\;TiO_2\;and\;KH_{2}PO_4$ on the delivery of mainstream and sidestream smoke. From the analysis of tar and nicotine in sidestream and mainstream smoke, the delivered ratios of tar and nicotine by sidestream to mainstream smoke in common cigarette paper were 5.32 and 8.60, respectively. However, the delivered ratios of those of the paper containing $Mg(OH)_2\;were\;2.25\~3.23,\;4.86\~7.14,\;Mg(OH)_2\;and\;KH_{2}PO_4\;were\;2.12\~2.92,\;4.67\~6.89,\;TiO_2\;was\;3.21,\;7.51 $ respectively. The deliver patterns of semi-volatile components in the cigarettes were similar each there, but a slight different pattern in the amount was observed depending on the kinds of compounds added in cigarette papers. In the cigarettes made of $Mg(OH)_2$ added paper, the aromatic components such as benzene, toluene and phenol were generated more while the aliphatic components like neophytadiene, ethyl decanoate were delivered less than the cigarettes made of common cigarette papers. However, the cigarettes manufactured with $Mg(OH)_2\;and\;KH_2PO_4$ added paper showed an opposite trend. The cigarettes made of $TiO_2$ added paper showed relatively low delivery in the most compounds measured. In sensory evaluation, cigarette papers tested were noticed a distinguishable sensory character between the low sidestream smokes with additive cigarette papers except $TiO_2$ added one. Moreover, aroma patterns detected by a electronic nose system in TPM were a similar tendency.

Effect of Addition Level of Green Tea Extract on the Lactic Acid Bacteria, Oxidative Stability, and Aroma in Kimchi-fermented Sausage (녹차 추출물의 첨가 수준이 김치 발효 소시지의 젖산균, 산화안정성 및 향기에 미치는 영향)

  • Kang, Sun-Moon;Kim, Tae-Sil;Song, Young-Han;Kwon, Il-Kyoung;Cho, Soo-Hyun;Park, Beom-Young;Lee, Sung-Ki
    • Food Science of Animal Resources
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    • v.32 no.4
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    • pp.467-475
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    • 2012
  • This study was carried out to investigate the effect of the addition level (0 ppm, 400 ppm, 800 ppm, and 1,200 ppm) of green tea extract on the lactic acid bacteria, oxidative stability, and aroma in kimchi-fermented sausage. The sample sausages were fermented at $24^{\circ}C/RH$ 89% until attained to a pH value of 4.9 (for 17 h), and then dried at $10^{\circ}C/RH$ 75-80% for 6 d. The lactic acid bacteria count and pH value were 7.5-7.7 Log CFU/g sausage and 4.30-4.33, respectively, at 6 d of ripening. The results of those did not show significant differences among all treatments. The formation of TBARS (2-thiobarbituric acid reactive substances) was significantly lowered by increasing the addition level of green tea extract. During ripening periods, the CIE $L^*$ and $a^*$ values decreased; however, the $b^*$ value increased due to the addition of green tea extract. Utilizing an electric nose, the aroma pattern was clearly discriminated between green tea extract treatments and the control. Therefore, in kimchi-fermented sausages, the high addition level of green tea extract improved the lipid oxidation stability. In addition, regardless of the addition level, green tea extract changed the aroma while reducing the color stability. Moreover, it did not have any effect on the growth of lactic acid bacteria.

Identification of Pre-pasteurization or Pre-irradiation Treatment in Frozen Crushed Garlic Commercially Available in Korean Market (시판 유통 중인 냉동 다진 마늘의 사전 살균 및 조사처리 여부 판별 모니터링)

  • Kim, Hyo-Young;Ahn, Jae-Jun;Kim, Gui-Ran;Jeong, Jin-Hwa;Park, Ki-Hwan;Kwon, Joong-Ho
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.42 no.10
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    • pp.1673-1681
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    • 2013
  • Five different chopped frozen garlic products samples, three from Chinese and two from Korean origins being commercially available products in Korean market, were used to confirm their pre-pasteurization or pre-irradiation status by screening (direct epifluorescent filter technique/aerobic plate counts, DEFT/APC; electronic nose, E-nose; photostimulated luminescence, PSL) and identification (thermoluminescence, TL; electron spin resonance, ESR) techniques. Some parts of samples were gamma-irradiated at 1 kGy to be used as control samples in irradiation history identification. DEFT/APC and e-nose successfully showed distinct results between the domestic and imported samples. The PSL photon counts of all the unknown samples were less than 700 (negative), while most of 1 kGy-irradiated samples gave PSL photon counts more than 5,000 (positive). The domestic unknown samples produced the TL glow peaks after $300^{\circ}C$ or more, whereas the imported samples showed TL peaks at the range of $240{\sim}250^{\circ}C$. A clear TL glow peak was obtained from all irradiated samples at $150{\sim}250^{\circ}C$. The unknown samples of Chinese origin gave radiation-specific cellulose ESR signal that was not shown by domestic samples. A multiple step of applying the physical analytical methods is recommended for the effective identification of irradiation status on chopped frozen garlic products.

Advances in the Early Detection of Lung Cancer using Analysis of Volatile Organic Compounds: From Imaging to Sensors

  • Li, Wang;Liu, Hong-Ying;Jia, Zi-Ru;Qiao, Pan-Pan;Pi, Xi-Tian;Chen, Jun;Deng, Lin-Hong
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.11
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    • pp.4377-4384
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    • 2014
  • According to the World Health Organization (WHO), 1.37 million people died of lung cancer all around the world in 2008, occupying the first place in all cancer-related deaths. However, this number might be decreased if patients were detected earlier and treated appropriately. Unfortunately, traditional imaging techniques are not sufficiently satisfactory for early detection of lung cancer because of limitations. As one alternative, breath volatile organic compounds (VOCs) may reflect the biochemical status of the body and provide clues to some diseases including lung cancer at early stage. Early detection of lung cancer based on breath analysis is becoming more and more valued because it is non-invasive, sensitive, inexpensive and simple. In this review article, we analyze the limitations of traditional imaging techniques in the early detection of lung cancer, illustrate possible mechanisms of the production of VOCs in cancerous cells, present evidence that supports the detection of such disease using breath analysis, and summarize the advances in the study of E-noses based on gas sensitive sensors. In conclusion, the analysis of breath VOCs is a better choice for the early detection of lung cancer compared to imaging techniques. We recommend a more comprehensive technique that integrates the analysis of VOCs and non-VOCs in breath. In addition, VOCs in urine may also be a trend in research on the early detection of lung cancer.

Flavor Components Comparison between the Neck Meat of Donkey, Swine, Bovine, and Sheep

  • Li, Xiu;Amadou, Issoufou;Zhou, Guang-Yun;Qian, Li-Yan;Zhang, Jian-Ling;Wang, Dong-Liang;Cheng, Xiang-Rong
    • Food Science of Animal Resources
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    • v.40 no.4
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    • pp.527-540
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    • 2020
  • Donkey in China is well known for its draft purpose and transportation; however, donkey meat has attracted more and more consumers in recent years, yet it lacks sufficient information on its flavor components compared to other main meats. Therefore, in this study, volatile flavor compounds in neck meat of donkey, swine, bovine, and sheep were classified by electronic nose, then confirmed and quantified by gas chromatography-mass spectrometry. High-performance liquid chromatography (HPLC) and gas chromatography were used to quantify free fatty acid, amino acid, and flavor nucleotide. A total of 73 volatile compounds were identified, and aldehydes were identified as the characteristic flavor compounds in neck meat of donkey, bovine, swine and sheep in proportion of 76.39%, 46.62%, 31.64%, and 35.83%, respectively. Particularly, hexanal was the most abundant volatile flavor. Compared with other neck meat, much higher unsaturated free fatty acids were present in donkeys. Furthermore, neck meat of donkeys showed essential amino acid with highest content. Thus, special flavor and nutrition in donkey neck meat make it probably a candidate for consumers in other regions besides Asia.

Independent Component Analysis Applied on Odor Sensing Measurement Data for Multimedia Communication (차세대 멀티미디어 통신을 위한 후각정보 측정데이터의 독립성분분석)

  • Kwon, Ki-Hyeon;Choi, Hyung-Jin;Hwang, Sung-Ho;Joo, Sang-Yeol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.8
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    • pp.1679-1686
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    • 2009
  • Odor sensing system that is electronic nose device and its signal processing technique has potential to become a critical service for the people who require tangibility of sense of smell in the multimedia communication. PCA(Principal Component Analysis) have been used for dimensionality reduction and visualization of multivariate measurement data. PCA is good for estimating importance value by variance of data but, have some limitation for getting meaningful representation from odor sensing system. This paper explain about how to analyze the data of odor sensing system by ICA(Independent Component Analysis). We show that ICA can give better result like sensor drift analysis, dimensionality reduction and data representation by improved discrimination.

A Study On Three-dimensional Optimized Face Recognition Model : Comparative Studies and Analysis of Model Architectures (3차원 얼굴인식 모델에 관한 연구: 모델 구조 비교연구 및 해석)

  • Park, Chan-Jun;Oh, Sung-Kwun;Kim, Jin-Yul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.6
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    • pp.900-911
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    • 2015
  • In this paper, 3D face recognition model is designed by using Polynomial based RBFNN(Radial Basis Function Neural Network) and PNN(Polynomial Neural Network). Also recognition rate is performed by this model. In existing 2D face recognition model, the degradation of recognition rate may occur in external environments such as face features using a brightness of the video. So 3D face recognition is performed by using 3D scanner for improving disadvantage of 2D face recognition. In the preprocessing part, obtained 3D face images for the variation of each pose are changed as front image by using pose compensation. The depth data of face image shape is extracted by using Multiple point signature. And whole area of face depth information is obtained by using the tip of a nose as a reference point. Parameter optimization is carried out with the aid of both ABC(Artificial Bee Colony) and PSO(Particle Swarm Optimization) for effective training and recognition. Experimental data for face recognition is built up by the face images of students and researchers in IC&CI Lab of Suwon University. By using the images of 3D face extracted in IC&CI Lab. the performance of 3D face recognition is evaluated and compared according to two types of models as well as point signature method based on two kinds of depth data information.