Indoor Volatile organic compounds (VOCs) are classified as known or possible toxicants and odorants. This study characterized VOC levels in 11 homes in an area in the capital of Seoul by using two different methods of VOCs sampling, which are the active sampling using a thermal sorption tube and the passive sampling using a diffusion sampler. When using the active sampling method, the total target VOC concentration ranged from 41.7 to 420.7 μg/ m3 (mean 230.4 μg/m3; median 221.8 μg/m3) during winter and 21.3 to 1,431.9 μg/m3 (mean 340.1 μg/m3; median 175.4 μg/m3) during summer. When using the passive method, 29.6 to 257.5 μg/m3 (mean 81.8 μg/m3; median 49.4 μg/m3) during winter and 1.2 to 5,131.1 μg/m3 (mean 1,758.8 μg/m3; median 1,375.1 μg/m3) during summer. Forty-nine VOCs were quantified and toluene showed the highest concentration regardless of the season and the sampling method studied. The distribution of VOCs was relatively varied by using the active method. However, it showed a low correlation with indoor environmental factors such as room temperature, humidity and ventilation time. The correlation between indoor environmental factors and VOCs were relatively high in the passive method. In particular, these characteristics were confirmed by principal component analysis.
Mold is one of the important bio-aerosols affecting human health in the indoor environment. To manage mold contamination, it is necessary to use an appropriate method for its detection and enumeration. Recently, the impaction method of ISO 16000-18 has been established as one of methods to detect and enumerate molds in air. To investigate the general use of the impaction method for mold detection in domestic indoor environments, the suitability of the method was assessed using different antibiotics, media and air samplers. All of the three antibiotics tested - ampicillin, chloramphenicol and streptomycin - showed inhibitory effects on bacterial colony formation on MEA and DG-18 media, without inhibiting mold growth. Of these three antibiotics, ampicillin was the most effective. There was no statistical difference between MEA and DG-18 media in the measurement of mold concentration. The formation of discriminative colony morphology was more apparent in DG-18 media. No significant difference in the measurement of mold concentration was found between Andersen samplers and MAS- 100NT samplers, which are two major samplers introduced in Korea.
In this study, swine and cattle farms located in Jeollanam-do were selected to analyze and evaluate the components of odorants in livestock facilities. In addition, a preliminary survey of the literature was conducted to establish a sampling and analysis method for phenol and indoles which are major components of odor emissions from livestock facilities, yet are not regulated by the laws. To establish a sampling and analysis method for phenol and indoles, Tedlar bag and Tenax-TA sorbent tube was used as background concentration of blank sample and samples according to the elapsed time. The results obtained indicate the GC/MS analysis with Tenax-TA sorbent tube sampling was an effective method for measuring the compounds of phenol and indoles. In the swine facility, the rankings of the odorants in order, from highest to lowest, were ammonia, sulfuric compounds, phenol/indoles, volatile fatty acids. The main odorants were hydrogen sulfide (41.3%) and 4-methylphenol (p-cresol, 13.9%). In the swine slurry storage, hydrogen sulfide (33.7%), ammonia (18.8%), and 3-methylindole (skatole, 15.7%) were the main odorants, and hydrogen sulfide (31%) and i-valeric acid (32.4%) were the main odorants in the cattle farms.
1. 세계 26개국에서 도입된 녹두 유전자원 705점에 대하여16개의 형태적 형질 특성을 이용하여 각각 두 가지의 군집방법, 핵심집단 자원수 결정방법 및 표본추출 방법을 조합하여 총8개의 핵심집단(SUNPR, SUNPPr, UNPR, UNPPr, SUNLR, SUNLPr, UNLR, UNLPr)을 작성하여 원수집단과 비교한바 8개핵심집단 모두 원수집단과는 분산과 평균치에서 차이가 없었다.
2. Nei의 다양성지수는 8개 핵심집단 모두 원수집단 보다높았고, 특히 UNLPr이 가장 높았으며, UNPR은 다른 핵심집단에 비하여 상대적으로 낮은 지수를 보였다.
3. 원수집단과 핵심집단간 자원분포의 동질성을 파악하기 위하여 카이자승 검증을 한 결과 12개 양적형질과 1개의 질적형질(종피색)은 모든 핵심집단이 동질분포를 보였으나 3개의질적 형질 (배축색, 종피광택, 생육습성)은 핵심집단에 따라서동질분포를 하는 것과 그렇지 않은 것이 있었으며, 8개 핵심집단 중 UNPPr은 동질성이 가장 높았다. 평균차율(MD%)과일치율(CR%)은 8개 핵심집단 모두 유의한 수준을 보였다.
4. 8개의 모든 핵심집단이 원수집단과 평균치에서 차이가 없고, 높은 다양성을 과 동질한 분포를 보이며, 평균차율(MD%)과 일치율(CR%)이 유의한 수준을 보여 원수집단의 다양성을잘 나타내는 것으로 해석되었다.
5. 핵심수집단 크기(10%와 15%)에 따른 다양성은 유의한차이가 없었으며, 8개의 핵심집단 중 평균치, 동질분포, 일치율 및 도복내성을 고려할 때 UNPPr이 가장 좋은 핵심집단으로 사료되었다.
The quantification of ammonia concentrations has received a lot of scientific attention. Numerous devices for the quantification of NH3 in the ambient air have been developed to provide more technical possibilities for research in abating NH3 emission from various source processes. For the proper quantification of NH3, a number of sampling methods have been discussed by grouping them into different categories based on the principle of functioning. In general, active samplers employ pumps to draw air in, while passive samplers are exposed to air over a certain period of time to obtain integrated signature of NH3. In case of the former, impingers and absorption flasks can be employed simultaneously with suitable absorbents to capture NH3 passing through them. The methods of analysis include both in-situ and laboratory determination. In the laboratory, colorimetric or ion chromatographic methods are generally used for its quantification. In the field, a number of real time analyzers have been proven to be useful. These real time analyzers can be grouped according to their principle of operation. These analyzers may use the principle of spectroscopy (e.g. DOAS), photoacousticics (e.g. photoacoustic monitor) or Chemiluminescence (NOx analyzer). The automated annular denuder sampling system with on-line analyzer is also suitable for continuous monitoring of ammonia in air.
연초의 본포초기해충인 숯검은밤나방 유충의 경제적 피해수준 밀도를 정하기 위한 기초연구로 연초이식전 포장내 유충밀도를 확정하기 위한 표본추출방법과 유충밀도와 연초감수량(품종 : Hicks)의 관계에 관하여 실험하여 다음과 같은 결과를 얻었다. 1. 사과찌꺼기, 쌀겨 및 토끼풀더미의 표본추출방법중에서 토끼풀더미가 비교적 높은 표본추출효율을 보였으며 토끼풀더미는 유충의 령기와 실험시기에 따라 의 표본추출효율을 보였다. 2. 포장내잡초의 유무에 따라 표본추출효율은 차이가 있으며 령충을 공시했을 때 잡초가 없는 상태에서는 , 잡초가 있는 상태에서는 의 표본추출효율을 보였다. 3. 숯검은밤나방 유충밀도(X)와 피해율(D)의 관계는 였으며 피해율은 액아의 생장과 결주에 따른 연초개체군의 보상결과를 감안하여 보상피해율(D')을 구하였으며 의 치선회귀관계를 보였다. 4. 보상피해율(D')과 감사량(Y, kg/10a)의 관계는 였다. 5. 관측치만 이용한 접종충밀도와 감수량의 관계 (Y=2.68X) 보다는 피해율 및 보상피해율을 대입하여 얻은 추정회귀식(Y=4.2+1.38X)이 실측치에 더적합하였다.
The purpose of this study is to compare the sampling methods for monitoring indoles (phenol, p-cresol, indole and skatole) in airs of swine facility. As the collecting methods of indoles in air, Tenax-TA adsorption tube and solid phase microextraction (SPME) were examined. For the preparation of calibration curves of indoles concentrated in Tenax-TA, the standard indoles solutions were spiked in each of Tenax-TA tubes and thermally desorbed (ATD) into a gas chromatograph combined with mass detector (GC/MS). And for the preparation of calibration curves by SPME, indoles in the standard gaseous solution prepared by evaporating the aqueous solution that contained indoles into a polyester sampling bag were extracted with SPME fiber and subsequently analyzed by the GC/MS. Two sampling methods were evaluated for extracting indoles present in swine building environments. Results indicated that the SPME method using Polydimethylsiloxane/ Divinylbenzene (PDMS/DVB) fiber was more effective than Tenax-TA method in extracting indoles. The gas chromatographic analysis showed that the linearities of calibration curves and detection limits were useful for detection of indoles in swine airs. The field tests also showed that considerably different levels of indoles were present in various parts of the swine building.
To investigate the application of biochemical markers' and small-sample methods using whole-wheat flours for screening in early generation in Korean wheat breeding system, 74 Korean wheats, including cultivars, local breeding lines and experimental lines, were analyzed. Seed storage protein and amylose contents of grains were evaluated. Biochemical makers, including granule bound starch synthase (GBSS), high molecular weigh glutenin subunits (HMW-GS) and friabilin were also evaluated by using one-dimensional sodium dodecyl sulfate-polyacryla-mide gel electrophoresis with a single kernel. The smallsample methods, including modified SDS-sedimentation test (MST), micro-alkaline water retention capacity (AWRC) and whole-wheat flour swelling volume (WSV) were also tested in this study. Protein content, MST and AWRC was 11.0 - 15.8~% , 2.7 - 26.2 ml and 71.9 - 109.7~% , respectively. Apparent and total amylose content and WSV was 20.6 - 25.0~% , 26.1 - 32.4~% and 9.0 - 16.9 ml, respectively. There were highly significant correlations between MST and AWRC (r=0.592, P<0.001), but Korean wheats showed no significant difference in protein content, amylose content and small-sample methods. In the biochemical markers, Korean wheats contained all three GBSS encoded by Wx loci, except for Suwon 252. Korean wheats showed the high frequency (58.1~% ) of 1Dx2.2 + 1Dy12 subunits of HMW-GS. Friabilin band was present in 46 lines (62.2~% ) and absent in 28 lines (37.8~% ). Friabilin-absence lines showed the higher MST (14.9 ml) and AWRC (92.1~% ) value than friabilin-presence lines (8.5 ml and 82.4~% , respectively).
In investigating heavy metal contents at specific areas, the method of selecting sampling points is important. A general method is, according to the law , random sampling of zigzag-form in the selected field. In this work, we studied whether the measured values obtained from a certain method of selecting sampling points is a representative of heavy metal contents in the selected field or not. The selected field for this study is located on the lower Yangsan-river; Gasan-li, Mulgum-myon, Yangsan-gun, KyoungNam. 1 km away from the main stream of Nakdong river. The heavy metals investigated were Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn. The inductively coupled plasma(ICP) atomic emission spectrometer was used to measure these metals quantitatively. The number of total sampling points were 24. We compared the total mean values with the mean obtained from various methods of selecting sampling points.