Four types of metal oxide semiconductor gas sensor arrays were used to observe the aroma and spoilage odor emitted during the ripening process of plum & banana fruits. All gas sensors showed a high correlation (R=0.82~0.90) with the olfactory. The TGS 2603 sensor showed a high correlation of 0.90 between the odor generated and sensory perception of smell in the process of ripening and decaying fruits. In addition, it showed a very high correlation of 0.91 with the decay rate of the plum sample, and the significance probability through one-way ANOVA was also less than 0.05, which confirmed it as an optimal gas sensor (TGS 2603). Principal component analysis was performed using all the data. The cumulative variability was 99.54%, which could be explained only by two principal components, and the first principal component was 95.11%, which was related to the freshness of the fruit. It was analyzed as fresh fruit in the negative(-) direction and decayed fruit in the positive(+) direction.

탈지대두박을 이용한 isoflavone의 분리 및 정제를 위한 최적 조건을 찾고자 absorption resin인 Amberlite XAD-1180를 사용하여 흡착제 활성화용매의 농도, 흡착된 isoflavone의 용출용매의 농도, 용출용매의 양과 용출속도, 시료와 흡착제의 비율 그리고 수지에 미치는 pH와 ion의 영향을 조사하였다. 수지의 활성화와 용출에는 Amberlite XAD-1180의 경우 methanol 75%로 활성화시켜 ethanol 80%로 용출시키는 경우가 가장 높은 값을 보였으며, 이때 사용하는 absorption resin은 isoflavone 흡착을 위해 사용한 단백질제거 탈지대두박용액양의 약 0.5배로, ethanol의 양은 단백질제거 탈지대두박용액 양의 4배를 사용하여 flow rate 12 mL/min의 경우가 적절한 조건임이 밝혀져 흡착제 사용이 isoflavone 함량을 최고 2~3배까지 향상시키는 결과를 보였다. 이때 분리된 isoflavone의 순도는 최고 40%까지 얻을 수 있었다. pH와 ion의 영향에서는 pH는 5.0, NaCl은 0.25 N 이하에서 isoflavone의 유출량이 높았다.

오미자 추출물의 가열 및 저장에 의한 변색을 지연시킴으로써 식품 소재로써 오미자 추출물의 이용도를 증진시키고자 식품에 가장 광범위하게 이용되는 첨가물인 당과 색소 안정화제의 효과를 조사하였다. 단당류로써 glucose, fructose, 이당류로써 sucrose, maltose를 처리한 결과 단당류는 가열에 의한 변색을 촉진시켰고 이당류는 가열에 의한 변색을 억제시키는 효과가 있어 maltose를 10%처리하였을 때 40%정도 변색이 억제되었다. 색소 안정화제 로 각각 1%와 5%의 maltodextrin, β, γ-cyclodextrin, ascorbic acid, phosphoric acid를 첨가하여 조사한 결과 β- 및 γ-cyclodextrin과 maltodextrin 5% 처리구의 경우 DI값이 대조군보다 낮게 나타나 가열 변색에 대한 안정화 효과를 나타내었다. 복잡한 구성성분으로 인하여 matrix 효과를 나타내는 식품에의 적용효과를 조사하고자 오미자 색소 추출물을 첨가한 겔 시스템을 모델 식품으로 사용하여 25℃ 및 35℃에서 저장하면서 표면 색도의 변화를 측정하였다. 저장 온도 및 기간이 증가할수록 a값이 감소하는 경향을 나타내었으며 maltodextrin을 5.0% 첨가한 경우 a 값이 15~20%증가하여 matrix effect가 고려된 실제 식품에서도 색소안정화 효과가 확인되었다.

In this study, the contributions of emissions (foreign and domestic) and atmospheric physical and chemical processes to PM2.5 concentrations were evaluated during a high PM2.5 episode (March 24-26, 2018) observed on the Jeju Island in the spring of 2018. These analyses were performed using the community multi-scale air quality (CMAQ) modeling system using the brute-force method and integrated process rate (IPR) analysis, respectively. The contributions of domestic emissions from South Korea (41-45%) to PM2.5 on the Jeju Island were lower than those (81-89%) of long-range transport (LRT) from China. The substantial contribution of LRT was also confirmed in conjunction with the air mass trajectory analysis, indicating that the frequency of airflow from China (58-62% of all trajectories) was higher than from other regions (28-32%) (e.g., South Korea). These results imply that compared to domestic emissions, emissions from China have a stronger impact than domestic emissions on the high PM2.5 concentrations in the study area. From the IPR analysis, horizontal transport contributed substantially to PM2.5 concentrations were dominant in most of the areas of the Jeju Island during the high PM2.5 episode, while the aerosol process and vertical transport in the southern areas largely contributed to higher PM2.5 concentrations.

Temporal and spatial characteristics of the frequency of several weather types and the change in air pollutant concentrations according to these weather types were analyzed over a decade (2007-2016) in seven major cities and a remote area in Korea. This analysis was performed using hourly (or daily) observed data of weather types (e.g., mist, haze, fog, precipitation, dust, and thunder and lighting) and air pollutant criteria (PM10, PM2.5, O3, NO2, CO, and SO2). Overall, the most frequent weather type across all areas during the study period was found to be mist (39%), followed by precipitation (35%), haze (17%), and the other types (≤ 4%). In terms of regional frequency distributions, the highest frequency of haze (26%) was in Seoul (especially during winter and May-June), possibly due to the high population and air pollutant emission sources, while that of precipitation (47%) was in Jeju (summer and winter), due to its geographic location with the sea on four sides and a very high mountain. PM10 concentrations for dust and haze were significantly higher in three cities (up to 250 μg/m3 for dust in Incheon), whereas those for the other four types were relatively lower. The concentrations of PM2.5 and its major precursor gases (NO2 and SO2) were higher (up to 69 μg/m3, 48 ppb, and 16 ppb, respectively, for haze in Incheon) for haze and/or dust than for the other weather types. On the other hand, there were no distinct differences in the concentrations of O3 and CO for the weather types. The overall results of this study confirm that the frequency of weather types and the related air quality depend on the geographic and environmental characteristics of the target areas.