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산화반응으로 형성된 구리산화물 박막의 표면형상 및 투과율 특성에 관한 연구
이은규,박대수,윤회진,이승윤,Lee, Eun Kyu,Park, Daesoo,Yoon, Hoi Jin,Lee, Seung-Yun 한국전기전자재료학회 2017 전기전자재료학회논문지 Vol.30 No.10
This work reports the surface morphology and transmittance of copper oxide thin films for semitransparent solar cell applications. We prepared the oxide specimens by subjecting copper thin films to an oxidation reaction at annealing temperatures ranging between $100^{\circ}C$ and $300^{\circ}C$. The color of the as-deposited specimen was red, but changed to purple at the annealing temperature of $300^{\circ}C$. The surface morphology and transmittance of the specimens were significantly dependent on the annealing temperature and thickness of the copper films. Copper oxide nanoparticles prepared from a 20-nm-thick copper film at an annealing temperature of $300^{\circ}C$ provided a maximum transmittance of 93%. The obtained optical characteristics and surface morphology suggest that copper oxide thin films prepared by an oxidation reaction can be potentially employed as color- and transmittance-adjusting layer in semitransparent thin solar cells.
경기, 강원 지역 농업용수의 미생물학적 특성 및 농업용수 분리 대장균의 항생제 내성
황인준 ( Injun Hwang ),박대수 ( Daesoo Park ),채효빈 ( Hyobeen Chae ),김은선 ( Eunsun Kim ),윤재현 ( Jae-hyun Yoon ),나겐드란라자린감 ( Nagendran Rajalingam ),최송이 ( Songyi Choi ),김세리 ( Se-ri Kim ) 한국환경농학회 2020 한국환경농학회지 Vol.39 No.4
BACKGROUND: Irrigation water is known to be one of the major sources of bacterial contamination in agricultural products. In addition, anti-microbial resistance (AMR) bacteria in food products possess serious threat to humans. This study was aimed at investigating the prevalence of foodborne bacteria in irrigation water and evaluating their anti-microbial susceptibility. METHODS AND RESULTS: Surface water (n = 66 sites) and groundwater (n = 40 sites) samples were collected from the Gyeongi and Gangwon provinces of South Korea during April, July, and October 2019. To evaluate the safety of water, fecal indicators (Escherichia coli) and foodborne pathogens (E. coli O157:H7, Salmonella spp., and Listeria monocytogenes) were examined. E. coli isolates from water were further tested for antimicrobial susceptibility using VITEK2 system. Overall, detection rate of foodborne pathogens in July was highest among three months. The prevalence of pathogenic E. coli (24%), Salmonella (3%), and L. monocytogenes (3%) was higher in surface water, while only one ground water site was contained with pathogenic E. coli (2.5%). Of the 343 E. coli isolates, 22.7% isolates were resistant to one or more antimicrobials (ampicillin (18.7%), trimethoprim-sulfamethoxazole (7.0%), and ciprofloxacin (6.7%)). CONCLUSION: To enhance the safety of agricultural products, it is necessary to frequently monitor the microbial quality of water.
농업용수의 미생물학적 안전성 조사 및 위생지표세균 농도와 병원성미생물 검출률과의 상관관계 분석
황인준 ( Injun Hwang ),이태권 ( Tae Kwon Lee ),박대수 ( Daesoo Park ),김은선 ( Eunsun Kim ),최송이 ( Song-yi Choi ),현정은 ( Jeong-eun Hyun ),나겐드란라자린감 ( Nagendran Rajalingam ),김세리 ( Se-ri Kim ),조민 ( Min Cho ) 한국환경농학회 2021 한국환경농학회지 Vol.40 No.4
BACKGROUND: Contaminated water was a major source of food-borne pathogens in various recent fresh produce-related outbreaks. This study was conducted to investigate the microbial contamination level and correlations between the level of sanitary indicator bacteria and the detection ratio of pathogens in agricultural water by logistic regression analysis. METHODS AND RESULTS: Agricultural water was collected from 457 sites including surface water (n=300 sites) and groundwater (n=157 sites) in South Korea from 2018 to 2020. Sanitary indicator bacteria (total coliform, fecal coliform, and Escherichia coli) and food-borne pathogens (pathogenic E. coli, E. coli O157:H7, Salmonella spp., and Listeria monocytogenes) were analyzed. In surface water, the coliform, fecal coliform, and E. coli were 3.27±0.89 log CFU/100 mL, 1.90±1.19 log CFU/100 mL, and 1.39±1.26 log CFU/100 mL, respectively. For groundwater, three kinds of sanitary indicators ranged in the level from 0.09 - 0.57 log CFU/100 mL. Pathogenic E. coli, Salmonella and Listeria monocytogenes were detected from 3%-site, 1.5%-site, and 0.6%-site water samples, respectively. According to the results of correlations between the level of sanitary indicator bacteria and the detection ratio of pathogens by logistic regression analysis, the probability of pathogen detection increased individually by 1.45 and 1.34 times as each total coliform and E. coli concentration increased by 1 log CFU/100mL. The accuracy of the model was 70.4%, and sensitivity and specificity were 81.5% and 51.7%, respectively. CONCLUSION(S): The results indicate the need to manage the microbial risk of agricultural water to enhance the safety of fresh produce. In addition, logistic regression analysis is useful to analyze the correlation between the level of sanitary indicator bacteria and the detection ratio of pathogens in agricultural water.