• Title, Summary, Keyword: electronic nose

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Design of a Potable Electronic Nose System using PDA (PDA를 이용한 휴대용 Electronic Nose 시스템 개발)

  • Kim, Jeong-Do;Byun, Hyung-Gi;Ham, Yu-Kyung
    • Journal of Sensor Science and Technology
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    • v.13 no.6
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    • pp.454-461
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    • 2004
  • We have designed a portable electronic nose (e-nose) system using an array of commercial gas sensors and personal digital assistants (PDA) for the recognition and analysis of volatile organic compounds (VOC) in the field. Field screening of pollutants has been a target of instrumental development during the past years. A portable e-nose system was advantageous to localize the special extent of a pollution or to find pollutants source. The employment of PDA improved the user-interface and data transfer by Internet from on-site to remote computer. We adapted the Lavenberg-Marquardt algorithm based on the back-propagation and proposed the method that could predict the concentration levels of VOC gases after classification by separating neural network into two parts.

Miniaturized Electronic Nose System Based on a Personal Digital Assistant

  • Kim, Yong-Shin;Yang, Yoon-Seok;Ha, Seung-Chul;Pyo, Hyeon-Bong;Choi, Auck-Choi
    • ETRI Journal
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    • v.27 no.5
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    • pp.585-594
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    • 2005
  • A small electronic nose (E-Nose) system has been developed using an 8-channel vapor detection array and personal digital assistant (PDA). The sensor array chip, integrated on a single microheater-embedded polyimide substrate, was made of carbon black-polymer composites with different kinds of polymers and plasticizers. We have successfully classified various volatile organic compounds such as methanol, ethanol, i-propanol, benzene, toluene, n-hexane, n-heptane, and c-hexane with the aid of the sensor array chip, and have evaluated the resolution factors among them, quantitatively. To achieve a PDA-based E-Nose system, we have also elaborated small sensor-interrogating circuits, simple vapor delivery components, and data acquisition and processing programs. As preliminary results show, the miniaturized E-Nose system has demonstrated the identification of essential oils extracted from mint, lavender, and eucalyptus plants.

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Analysis of Volatile Flavor Compounds in Milk Using Electronic Nose System (전자코 시스템을 이용한 우유의 품질에 따른 휘발성 향기성분 분석)

  • Kang, Nae Kyung;Jun, Tae-Sun;Yang, Yoon Seok;Kim, Yong Shin
    • Journal of Sensor Science and Technology
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    • v.23 no.5
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    • pp.320-325
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    • 2014
  • Volatile flavor compounds from milk were analyzed and identified by using the analysis methods of headspace solid phase microextraction gas chromatography/mass spectrometry (HSPME-GC/MS) and electronic nose (E-Nose) system. About 30 volatile compounds were identified by HSPME-GC/MS for the fresh and off-flavor milk samples. Also, the correlation between rancidity and ageing days of milk was obtained by the aid of principal component analysis algorithm. It shows that the E-Nose system can identify the various types of milk flavor. These results imply that the analysis method based on the E-nose system can apply to the quality control of milk flavor and the rancidity.

Discrimination of Astaxanthin Fed Laying Hens and Their Peroxidated Carcasses by Electronic Nose

  • Kwon, Young-An;Lee, Chan-Yong;Lee, Bong-Duk;Choi, Seung-Hyun;An, Gil-Hwan
    • Korean Journal of Poultry Science
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    • v.37 no.3
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    • pp.215-219
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    • 2010
  • The applicability of electronic nose was tested to detect lipid peroxidation in chickens and to measure antioxidant effect of astaxanthin in chicken carcasses. Two sources of astaxanthin were fed to 62-wk-old spent laying hens to improve meat quality: natural astaxanthin (NA) from the red yeast, Phaffia rhodozyma, and synthetic astaxanthin (SA) from chemical synthesis. One hundred forty four ISA Brown laying hens were used in a 6-wk feeding trial. Three treatments consisted of the basal diet (control), SA (100 mg astaxanthin/kg basal diet) and NA (50 mg astaxanthin/kg basal diet). The astaxanthin levels of SA and NA were set to give a similar degree of skin pigmentation. After 6-wk feeding of astaxanthin, the skins from NA and SA were discriminated from the control by electronic nose. However, electronic nose failed to distinguish between SA and NA skins after 6-wk feeding. The astaxanthin level differences between skins of SA and NA were not remarkable during the 6-wk trial. The lipid peroxide formation in skin was significantly decreased by SA but not by NA. The antioxidation effect of SA was detected by electronic nose because SA skin was discriminated from others. NA was a better pigmentation agent than SA, but the reverse was true in antioxidation. Electronic nose is applicable for detecting astaxanthin in chicken, and meat off-flavor caused by lipid peroxidation during storage.

Fabrication and Characterization of Portable Electronic Nose System using Gas Sensor Array and Artificial Neural Network (가스센서 어레이와 인공 신경망을 이용한 소형 전자코 시스템의 제작 및 특성)

  • 홍형기;권철한;윤동현;김승렬;이규정
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • pp.99-102
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    • 1997
  • An electronic nose system is an instrument designed far mimicking human olfactory system. It consists generally of gas (odor) sensor array corresponding to olfactory receptors of human nose and artificial neural network pattern recognition technique based on human biological odor sensing mechanism. Considerable attempts to develop the electronic nose system have been made far applications in the fields of floods, drinks, cosmetics, environment monitoring, etc. A portable electronic nose system has been fabricated by using oxide semiconductor gas sensor array and pattern recognition technique such as principal component analysis (PCA) and back propagation artificial neural network The sensor array consists of six thick film gas sensors whose sensing layers are Pd-doped WO$_3$ Pt-doped SnO$_2$ TiO$_2$-Sb$_2$O$_3$-Pd-doped SnO$_2$ TiO$_2$-Sb$_2$O$_{5}$-Pd-doped SnO$_2$+Pd filter layer, A1$_2$O$_3$-doped ZnO and PdCl$_2$-doped SnO$_2$. As an application the system has been used to identify CO/HC car exhausting gases and the identification has been successfully demonstrated.d.

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Design and performance evaluation of portable electronic nose systems for freshness evaluation of meats (육류 신선도 판별을 위한 휴대용 전자코 시스템 설계 및 성능 평가)

  • Kim, Jae-Gone;Cho, Byoung-Kwan
    • Korean Journal of Agricultural Science
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    • v.38 no.3
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    • pp.525-532
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    • 2011
  • The aim of this study was to develop a portable electronic nose system for freshness measurement of meats, which could be an alterative of subjective measurements of human nose and time-consuming measurements of conventional gas chromatograph methods. The portable electronic system was o optimized by comparing the measurement sensitivity and hardware efficiency, such as power consumption and dimension reduction throughout two stages of the prototypes. The electronic nose systems were constructed using an array of four different metal oxide semiconductor sensors. Two different configurations of sensor array with dimension were designed and compared the performance respectively. The final prototype of the system showed much improved performance on saving power consumption and dimension reduction without decrease of measurement sensitivity of pork freshness. The results show the potential of constructing a portable electronic system for the measurement of meat quality with high sensitivity and energy efficiency.

Design and performance evaluation of portable electronic nose systems for freshness evaluation of meats II - Performance analysis of electronic nose systems by prediction of total bacteria count of pork meats (육류 신선도 판별을 위한 휴대용 전자코 시스템 설계 및 성능 평가 II - 돈육의 미생물 총균수 예측을 통한 전자코 시스템 성능 검증)

  • Kim, Jae-Gone;Cho, Byoung-Kwan
    • Korean Journal of Agricultural Science
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    • v.38 no.4
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    • pp.761-767
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    • 2011
  • The objective of this study was to predict total bacteria count of pork meats by using the portable electronic nose systems developed throughout two stages of the prototypes. Total bacteria counts were measured for pork meats stored at $4^{\circ}C$ for 21days and compared with the signals of the electronic nose systems. PLS(Partial least square), PCR (Principal component regression), MLR (Multiple linear regression) models were developed for the prediction of total bacteria count of pork meats. The coefficient of determination ($R_p{^2}$) and root mean square error of prediction (RMSEP) for the models were 0.789 and 0.784 log CFU/g with the 1st system for the pork loin, 0.796 and 0.597 log CFU/g with the 2nd system for the pork belly, and 0.661 and 0.576 log CFU/g with the 2nd system for the pork loin respectively. The results show that the developed electronic system has potential to predict total bacteria count of pork meats.

The way to interface for electronic nose using IEEE 1451.4 (IEEE 1451.4를 이용한 전자코 시스템의 인터페이스 방안)

  • Kim, Ding-Jin;Kim, Jeong-Do;Byun, Hyung-Gi;Jung, Young-Chang;Ham, Yu-Kyung;Jung, Woo-Suk;Lee, Jung-Whan
    • Proceedings of the KIEE Conference
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    • pp.123-126
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    • 2005
  • The IEEE 1451.4 standards defines an architectural model for interfacing smart transducers for sensors & actuators. This standard allows analogue transducers to communicate their identification and calibration data in a digital format. A digital format is called TEDS(transducer electronic data sheet). However, the standard template of IEEE 1451.4 TEDS do not supports gas sensors to use in electronic nose system, such as array sensors. In this paper, a solution to standardize sensors for electronic nose systems is presented.

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The Identification of Blended Sesame Oils by Electronic Nose (전자코를 이용한 혼합 참기름의 판별 연구)

  • Shin, Jung-Ah;Lee, Ki-Teak
    • Korean Journal of Food Science and Technology
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    • v.35 no.4
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    • pp.648-652
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    • 2003
  • Precise and rapid method out for distinguishing blended sesame oils through the electronic nose analysis was developed. Sesame oil was blended with corn oil at the ratio of 95 : 5, 90: 10, and 80 : 20 (w/w), respectively. Samples were then analyzed by gas chromatography, SPME-GC/MS, and the electronic nose composed of 12 different metal oxide sensors. Sensitivities $(delta\;R_{gas}/R_{air})$ of sensors from electronic nose were analyzed by principal component analysis (PCA). Proportion of the first principal component was 98.76%.

Analysis of Salmonella Contaminated Beef Odor Using an Electronic Nose

  • Kim, Gi-Young;Lee, Kang-Jin;Son, Jae-Yong;Kim, Hak-Jin
    • Food Science of Animal Resources
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    • v.30 no.2
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    • pp.185-189
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    • 2010
  • An electronic nose was used to identify Salmonella contamination on beef based on odors. To detect pathogen contamination of beef, $100{\mu}L$ of $10^5CFU/g$ Salmonella Enteritidis or Salmonella Typhimurium cell suspensions were spiked onto 5 g beef sirloin samples in individual vials. Odor changes over time were then measured and analyzed using an electronic nose system to identify pathogen contamination. In principle, the electronic nose system based on a surface acoustic wave (SAW) detector produced different frequency responses depending on the time and amount of each chemical. Multivariate analysis of the odor data was conducted to detect Salmonella contamination of beef. Salmonella odors were successfully distinguished from uncontaminated beef odors by principal component analysis (PCA). The PCA results showed that Salmonella contamination of beef could be detected after 4 h of incubation. The numbers of cells enumerated by standard plate count after 4 h of inoculation were $2{\times}10^6CFU/g$ for both Salmonella Enteritidis and Salmonella Typhimurium.