• 한국환경과학회지
• /
• 제12권12호
• /
• pp.1255-1260
• /
• 2003

Plasma-photocatalytic oxidation process was applied in the decomposition of Triethylamine(TEA) and Methyl ethyl ketone(MEK). Plasma reactor was made entirely of pyrex glass and consists of 24mm inner diameter, 1,800mm length and discharge electrode of 0.4mm stainless steel. And initial concentrations of TEA and MEK for plasma-photocatalytic oxidation are 100 ppm. Odor gas samples were taken by gas-tight syringe from a glass sampling bulb which was located at reactor inlet and outlet, and TEA and MEK were determined by GC-FID. For plasma process, the decomposition efficiency of TEA and MEK were evaluated by varying different flowrates and decomposition efficiency of TEA and MEK increased considerably with decreasing treatment flowrates. For photocatalytic oxidation process, also the decomposition efficiency of TEA and MEK increased considerably with decreasing treatment flowrates. The decomposition efficiency of MEK was 57.8％, 34.2％, 18.8％ respectively and the decomposition efficiency of TEA was reached all 100％. This result is higher than that of plasma process only, From this study, the results indicate that plasma-photocatalytic oxidation process is ideal for treatment of TEA and MEK.

• 대한환경공학회지
• /
• 제38권4호
• /
• pp.162-168
• /
• 2016

음식물쓰레기 부패과정에서 발생되는 대표적인 S계(황화수소($H_2S$), 메틸멜캅탄($CH_3SH$)), N계(암모니아($NH_3$), trimethyl amine) 악취물질과 복합악취를 경과시간에 따라 측정하고, 유용미생물(effective microorganism, EM) 사용에 따른 악취 저감효과의 평가 및 EM제의 미생물상 및 세균수의 변화와 악취물질 농도 저감과의 관계를 조사하였다. 음식물쓰레기에서 발생하는 악취는 N 계열에 비하여 S계 악취물질의 영향이 더 큰 것으로 나타났다. S계 악취물질과 복합악취의 경우 대조군에 비하여 EM제를 사용한 실험군에서 발생농도가 낮게 나타나 EM제의 도포에 의한 악취 저감효과를 확인할 수 있었다. 그러나 아세트알데히드($CH_3CHO$)의 경우 EM제 도포 후 경과시간이 증가할수록 발생농도는 감소되지 않았다. EM제와 음식물쓰레기 부패시 발생하는 침출수의 미생물을 분석한 결과, 대부분 유산균 군집으로 확인되었으며, EM제 원액과 실험군에서 발생한 침출수의 미생물 군집이 다르게 나타났다.

• 한국산학기술학회논문지
• /
• 제21권7호
• /
• pp.708-718
• /
• 2020

대기오염 중 악취는 인간의 생활이나 활동, 건강에 직·간접적으로 영향을 주어 사회적 환경문제로 인식되고 있다. 악취물질 중 NH₃(암모니아), H₂S(황화수소), C₆H₆(벤젠)은 석유화학공장, 공공하수처리시설 및 분뇨처리시설, 가축분뇨 처리시설, 폐기물 처리시설과 음식물류 처리시설에 등에서 대량으로 발생하므로 효율적인 악취 제거가 필요한 실정이다. 본 연구에서는 대기압 플라즈마를 이용한 악취 제거와 제거효율을 연구하였다. 가스크로마토그래피(Gas Chromatography, GC)와 악취측정장치를 이용하여 대기압 플라즈마와 악취물질 반응 전후의 농도를 측정하였다. 측정결과를 백분율로 환산하여 효율을 평가하였다. 플라즈마를 이용한 악취 분해는 플라즈마를 방전시킬 때 생성된 활성라디칼과 O₃(오존)을 이용하여 악취물질을 중화처리 및 광화학적으로 산화하는 기전을 이용한 것으로 상온에서 악취 물질의 처리가 가능하며, 2차 오염물질의 발생이 없다는 장점이 있다. NH₃, H₂S, C₆H₆ 3가지 악취 물질 모두 대기압 플라즈마의 출력을 500 W로 방전시켜 반응시켰을 때 모두 1분 내로 악취 물질이 완전히 분해되었다. 따라서 고농도의 악취 물질과 두 종류 이상의 냄새유발 물질이 반응할 때 발생한 복합악취 또한 대기압 플라즈마를 이용하여 제거할 수 있다고 판단된다.

• 한국포장학회지
• /
• 제27권2호
• /
• pp.55-62
• /
• 2021

This study aims to reduce the rancid odor generated during the fermentation process of kimchi by inserting zinc oxide (ZnO) into an inorganic porous material with a high surface area to decompose or adsorb the fermentation odor. ZnO activated by the presence of moisture exhibits decomposition of rancid odors. Mixed with Titanium dioxide (TiO₂), a photocatalyst. To manufacture the packaging liner used in this study, NaOH, ZnCl₂, and TiO₂ powder were placed in a tank with diatomite and water. The sludge obtained via a hydrothermal ultrasonication synthesis was sintered in an oven. After being pin-milled and melt-blended, the powders were mixed with linear low-density polyethylene (L-LDPE) to make a masterbatch (M/B), which was further used to manufacture liners. A gas detector (GasTiger 2000) was used to investigate the total amount of sulfur compounds during fermentation and determine the reduction rate of the odor-causing compounds. The packaging liner cross-section and surface were investigated using a scanning electron microscope-energy dispersive X-ray spectrometer (SEM-EDS) to observe the adsorption of sulfur compounds. A variety of sulfur compounds associated with the perceived unpleasant odor of kimchi were analyzed using gas chromatography-mass spectrometry (GC-MS). For the analyses, kimchi was homogenized at room temperature and divided into several sample dishes. The performance of the liner was evaluated by comparing the total area of the GC-MS signals of major off-flavor sulfur compounds during the five days of fermentation at 20℃. As a result, Nano-grade inorganic compound liners reduced the sulfur content by 67 % on average, compared to ordinary polyethylene (PE) foam liners. Afterwards SEM-EDS was used to analyze the sulfur content adsorbed by the liners. The findings of this study strongly suggest that decomposition and adsorption of the odor-generating compounds occur more effectively in the newly-developed inorganic nanocomposite liners.

• 센서학회지
• /
• 제24권6호
• /
• pp.368-372
• /
• 2015

In this paper, we proposed a post-processing technique for improving classification performance of electronic nose (E-Nose) system which may be occurred drift signals from sensor array. An adaptive radial basis function network using stochastic gradient (SG) and singular value decomposition (SVD) is applied to process signals from sensor array. Due to drift from sensor's aging and poisoning problems, the final classification results may be showed bias and fluctuations. The predicted classification results with drift are quantized to determine which identification level each class is on. To mitigate sharp fluctuations moving-averaging (MA) technique is applied to quantized identification results. Finally, quantization and some edge correction process are used to decide levels of the fluctuation-smoothed identification results. The proposed technique has been indicated that E-Nose system was shown correct odor identification results even if drift occurred in sensor array. It has been confirmed throughout the experimental works. The enhancements have produced a very robust odor identification capability which can compensate for decision errors induced from drift effects with sensor array in electronic nose system.

• 센서학회지
• /
• 제20권3호
• /
• pp.151-155
• /
• 2011

A variety of pattern recognition algorithms including neural networks may be applicable to the identification of odors. In this paper, an identification technique for an electronic odor sensing system applicable to wound state monitoring is presented. The performance of the radial basis function(RBF) network is highly dependent on the choice of centers and widths in basis function. For the fine tuning of centers and widths, those parameters are initialized by an ill-conditioned genetic fuzzy c-means algorithm, and the distribution of input patterns in the very first stage, the stochastic gradient(SG), is adapted. The adaptive RBF network with singular value decomposition(SVD), which provides additional adaptation capabilities to the RBF network, is used to process data from array-based gas sensors for early detection of wound infection in burn patients. The primary results indicate that infected patients can be distinguished from uninfected patients.

• 실내환경 및 냄새 학회지
• /
• 제16권2호
• /
• pp.187-198
• /
• 2017

It is very important to treat infected livestock carcasses safely and quickly. In this study, the degradation characteristics and odor generation characteristics of carcasses were investigated during the treatment of swine carcasses using the anaerobic burial composting method. While the carcasses were decomposed, the temperature remained high, at $40{\sim}55^{\circ}C$ on average, and most of the carcasses were decomposed rapidly. The major odor-contributing substances in the buried composting method are sulfuric odor substances such as $H_2S$, $CH_3SH$, dimethyl sulfide (DMS) and dimethyl disulfide (DMDS), and the odor contribution of these substances is 93~99%. Among them, $CH_3SH$, which accounts for about 56~89% of odor contribution, was the most representative indicator substance. Despite the anaerobic digestion process, the methane concentration in the digestion process was as low as 0.5~0.8% at the burial point of the carcass. The odor and methane produced during the decomposition of the carcasses decreased considerably during the discharge to the surface layer through the buried layer consisting of compost. These results suggest that anaerobic high temperature burial composting is one of the most useful methods to treat carcasses of infected livestock.

• 상하수도학회지
• /
• 제27권1호
• /
• pp.59-67
• /
• 2013

The odor occurring in the sewage system induces the displeasure, the disgust such as the headache, the vomit, etc. and increases the spiritual stress and disturbs the pleasant life of residents. These odors occur mainly in the area of combined sewage system treatment, being created in the personal sewage treatment plant such as septic tank and are incoming to sewage pipes and emitted to the outside through the manhole and the receiver, etc.; and this causes odors to the people. The Hydrogen Sulfide, the Methyl Mercaptan, the Ammonia, etc. are materials causing the odor, the more serious issue of odor is occurring since the septic tank of degradation process is being applied. The primary cause of odor is the decomposition of human feces in the septic tanks and sewage disposal facilities. The purpose of this study is reduction of hydrogen sulfide using air supplying and SOB(Sulfur-Oxidizing Bacteria). As a result of this study of the air supply system and the SOB media equipment by air supply, in case the air is injected to SOB media compared to the injection of air only, the removal efficiency the hydrogen sulfide was average 3.4 times higher.

• ETRI Journal
• /
• 제28권1호
• /
• pp.59-66
• /
• 2006

Learning behaviors of a radial basis function network (RBFN) using a singular value decomposition (SVD) and stochastic gradient (SG) algorithm, together named RBF-SVD-SG, for odor sensing systems are analyzed, and a fast training method is proposed. RBF input data is from a conducting polymer sensor array. It is revealed in this paper that the SG algorithm for the fine-tuning of centers and widths still shows ill-behaving learning results when a sufficiently small convergence coefficient is not used. Since the tuning of centers in RBFN plays a dominant role in the performance of RBFN odor sensing systems, our analysis is focused on the center-gradient variance of the RBFN-SVD-SG algorithm. We found analytically that the steadystate weight fluctuation and large values of a convergence coefficient can lead to an increase in variance of the center-gradient estimate. Based on this analysis, we propose to use the least mean square algorithm instead of SVD in adjusting the weight for stable steady-state weight behavior. Experimental results of the proposed algorithm have shown faster learning speed and better classification performance.

• 환경위생공학
• /
• 제11권1호
• /
• pp.9-15
• /
• 1996

The purpose of this study was to evaluate the decomposition efficiency of $NH_3$ odor gas using high frequency surface discharge body. The results from this study are as follows; 1, Voltage and frequency of electric elements have effects on removal of $NH_3$ odor. The higher these two elements were set up, the more efficiently deodorizing processing worked. In this experiment, the optimum voltage and frequency applicable were observed around AC 6.0 kVp-p and 24.0 kHz respectively. 2. The temperature, humidity and residence time were observed strong variables for NH$_3$ removal process. Its performance had limits at high temperature and humidity conditions. The longer the residence time continued, the more efficiently deodorization process worked. The experimental results showed that the deodorization was efficiently processed under such conditions as $30.0^{\circ}C$ in temperature, 60rh% in humidity and 0.3 sec in residence time. 3. It was observed that in deodorization experiment, $NH_3$ odor gas was perfectly decomposed under the concentration condition below 15.0ppm. Moreover it was considered as economic and practical in terms of maintenance cost when compared with other deodorization methods.