• Environmental Analysis Health and Toxicology
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• 제19권1호
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• pp.41-47
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• 2004

Air quality monitoring is a primary activity for industrial and social environment. The government push for pollutants that must be monitored. Especially, the VOCs (Volatile Organic Compounds), which are very harmful for human and environment, should be controlled under the government policy. We have been developed a VOCs measurement system which recognize various kinds and quantities of VOCs, such as benzene, toluene, and xylene (BTX). Especially, we designed sensor array with various kinds of gas sensor and ANN (Artificial Neural Network) algorithm. The measured values for BTX have errors of-4ppm.

• 한국환경보건학회:학술대회논문집
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• 한국환경보건학회 2004년도 International Conference Global Environmental Problems and their Health Consequences
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• pp.139-141
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• 2004

Emission of volatile organic compounds (VOCs) are one of the popular issues of air pollution in Korea, especially in Ulsan city, where much chemical plants are located. It is necessary to detect the VOCs precisely in order to control the air pollution during the plant operation. In general, to examine the concentration of VOCs, gas chromatography (GC) is used. However, most plant operators are using the easy operating handy VOCs detector, which is imported, because GC is difficult to treat and the installation price is high although it is very useful equipment. Therefore, the development of the VOCs detector becomes one of the urgent issues. In this study, sensing characteristics of selected VOCs for the development of VOCs detector was investigated. Semiconductor sensor and several VOCs such as aliphatic, aromatic, and non-homogeneous hydrocarbons were used for the experiment. Through the various experiments, sensor used in the experiment has shown high linearity and sensitivity for most VOCs in the range of 1 -500 ppm concentration.

• 대한기계학회논문집B
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• 제40권3호
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• pp.149-155
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• 2016

휘발성 유기화합물과 같은 환경유해물질의 조기 검지는 인체 및 환경보호를 위한 중요성을 가진다. 그러나 기존의 모니터링 기술은 많은 시간과 값비싼 장비를 필요로 하고 있다. 본 논문에서는, 무전원으로 작동가능하며, 휴대가 용이하고 빠른 응답속도를 가지는 광결정 기반의 VOC 검출용 박막센서를 제안하였다. 휘발성 유기 화합물은 Polydimethylsiloxane(PDMS)를 팽창시키는 능력을 가지고 있어, 제안된 센서에 휘발성 유기 화합물이 노출되면 PDMS 가 팽창함에 따라 광결정의 구조변화를 가져오므로 색이 변하게 된다. 이러한 원리에 기초하여 휘발성 유기 화합물에 노출되었을 때 가시광선 영역의 정량적 색변화를 통해 검출할 수 있는 환경센서를 구현하였다. 제안된 센서는 수 초 이내의 빠른 반응속도를 보이며, 기체 상태의 휘발성 유기 화합물에도 색 변화를 일으키는 것을 성공적으로 확인하였다.

• 센서학회지
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• 제28권1호
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• pp.7-12
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• 2019

Significant progress has been made recently in detection of highly sensitive volatile organic compounds (VOCs) using chemical sensors. Combined with the progress in design of micro sensors array and electronic nose systems, these advances enable new applications for detection of extremely low concentrations of breath-related VOCs. State of the art detection technology in turn enables commercial sensor systems for health care applications, with high detection sensitivity and small size, weight and power consumption characteristics. We have been developing an intelligent electronic nose system for detection of VOCs for healthcare breath analysis applications. This paper reviews our contribution to monitoring of respiratory diseases and to diabetic monitoring using an intelligent electronic nose system for detection of low concentration VOCs using breath analysis techniques.

• Bulletin of the Korean Chemical Society
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• 제32권6호
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• pp.1865-1872
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• 2011

This study investigates the sensitivity of a gas sensor to volatile organic compounds (VOCs) at various operating temperatures and catalysts. Nano-sized powdered $WO_3$ prepared by sol-gel and chemical precipitation methods was mixed with various metal oxides. Next, transition metals (Pt, Ru, Pd, and In) were doped on the surface of the mixture. Metal-$WO_3$ thick films were prepared using the screen-printing method. The physical and chemical properties of the films were studied by SEM/EDS, XRD, and BET techniques. The measured sensitivity to VOCs is defined as the ratio ($R_a/R_g$) of resistance ($R_{air}$) of $WO_3$ film in the air to resistance ($R_{gas}$) of $WO_3$ film in a VOCs test gas. The sensitivity and selectivity of the films were tested with various VOCs such as acetaldehyde, formaldehyde, methyl alcohol, and BTEX. The thick $WO_3$ film containing 1 wt % of Ru and 5 wt % of $SnO_2$ showed the best sensitivity and selectivity to acetaldehyde gas at an operating temperature of 300 $^{\circ}C$.

• 한국재료학회지
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• 제17권8호
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• pp.433-436
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• 2007

Nano-structured polyaniline have been synthesized by interfacial polymerization method at room temperature. An aqueous solution of aniline in chloroform and another solution of ammonium peroxydisulfate in doping acid were prepared at different times terminated with methanol at room temperature. SEM, UV-vis were used to characterize the polyaniline with regard to their morphology and structure. The diameter and length of polyaniline can be controlled by the reaction time. Nano-structured polyaniline were found to have superior sensitivity for volatile organic compounds(VOCs). As the reaction time to increase from 30minute to 2hours the sensitivity were decreased to VOCs vapors. The sensitivity of Nano-structured polyaniline sensor appeared to VOCs better than the sensitivity of chemical synthesis sensors. The sensitivity of Nano-structured polyaniline sensor improved benzene vapors.

• 통합자연과학논문집
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• 제2권3호
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• pp.211-214
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• 2009

A new porous silicon (PSi) microcavity sensor for the detection of volatile organic compounds (VOCs) was developed. PSi microcavity sensor exhibiting unique reflectivity was successfully obtained by an electrochemical etching of silicon wafer. When PSi was fabricated into a structure consisting of two high reflectivity muktilayer mirrors separated by an active layer, a microcavity was formed. This PSi microcavity is very sensitive structures. Reflection spectrum of PSi microcavity indicated that the full-width at half-maximum (FWHM) was of 10 nm and much narrower than that of fluorescent organic molecules or quantum dot. The detection of volatile organic compounds (VOCs) using PSi microcavity was achieved. When the vapor of VOCs condensed in the nanopores, the refractive indices of entire particle increased. When PSi microcavity was exposed to acetone, ether, and toluene, PSi microcavity in reflectivity was red shifted by 28 nm, 33 nm, and 20 nm for 2 sec, respectively.

• 센서학회지
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• 제17권1호
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• pp.69-74
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• 2008

VOCs (Volatile Organic Compound) sensors were fabricated using $SnO_2$nanowires-based thin films and its gas sensing behaviors were studied. The $SnO_2$ nanowires synthesized from a thermal evaporation process were dispersed in a solution and the sensor film was prepared by dropping the slurry on the substrate with the electrodes and an embedded heater. The gas response (Ra/Rg, Ra: resistance in air, Rg: resistance in gas) to $30{\sim}40$ ppm Benzene, Ethyl Benzene, o-xylene were in the range of $39{\sim}42$, which were significantly higher than those to 50 ppm of CO, $CH_4$ and $C_3H_8$ ($12{\sim}19$).

• 한국산학기술학회논문지
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• 제5권1호
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• pp.1-6
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• 2004

휘발성유기 화합물(Vo1ati1e Organic Compounds : VOCs)은 탄화수소 화합물을 총칭한다. 이는 오존 및 광화학 스모그의 원인물질일 뿐 아니라 인체에는 암을 유발시키는 유해 물질이다. 또한 대기 중 악취 물질로서 환경 및 건강에 영향을 초래하는 유해성 물질이다. 본 논문은 대기 중에 포함된 암을 유발시키는 유해성 물질인 BTX(Benzene, Toluene, Xylene)의 존재 유무와 농도 측정에 대해서 연구하였다. 다종의 가스센서를 어레이하여 BTX 가스를 측정하고 인공신경망(Artificial Neural Network : ANN)의 역전파(Back propagation : BP) 알고리즘으로 시뮬레이션과 실험을 통해 농도를 추론하였다. ANN모듈은 기준 데이터를 시뮬레이션을 통해 학습시키고, 가스를 주입하여 실험 할 때 학습된 델타 모델에 근거하여 추론을 할 수 있는 추론 알고리즘 모듈이다. 이 모듈은 기준데이터를 MATLAB 코드로 시뮬레이션을 하여 생성된 parameter를 가지고 수행했으며, 시뮬레이션 결과를 실험을 통해 비교 테스트하여 검증하였다.

• 센서학회지
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• 제11권5호
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• pp.286-293
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• 2002

휘발성 유기 화합물 가스(Volatile Organic Compounds)를 인식하고 분석하기 위하여 전도성 고분자 센서어레이를 이용한 시스템을 제작하였다. Polypyrrole와 Polyaniline을 화학중합법으로 센서에 전도성고분자막을 형성하였고 이를 통해 VOC 검지용 센서 어레이를 제작하였다. 센서어레이로부터 측정되는 다차원 데이터는 주성분분석법(PCA)과 RBF(Radial Basis Function Network)을 이용하였다. 제안된 시스템으로 VOCs 가스를 인식하는데 있어서 RBF Network이 PCA 방식보다 더욱 효율적인 것으로 판단되었다.