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        검색결과 7

        2.
        2020.12 KCI 등재 구독 인증기관 무료, 개인회원 유료
        본 연구에서는 유산균에 의한 검은콩의 최적 발효조건을 확립하고 발효된 검은콩의 품질특성을 평가하였다. 가정에서 제조된 배추김치로부터 분리한 Lactobacillus plantarum SU22는 병원성 세균에 대해 강한 항균 활성을 보였고 생체 아민과 발암성 효소인 β-glucuronidase를 생성하지 않았기 때문에 검은콩 발효의 스타터로 선정되었다. 검은콩은 5 kgf/cm2, 150oC로 조절된 팽화기에서 10분 동안 팽화 처리한 것과 처리하지 않은 것으로 각각 10- 30% 혼합액을 만들고 L. plantarum SU22를 1%(v/v) 접종하여 37oC로 48시간 동안 진탕 배양하면서 유산균의 생육 특성을 비교하였다. 유산균의 생균수는 L. plantarum SU22 로 발효된 팽화 검은콩(20%) 배양액에서 9 Log CFU/mL 이상이었다. 20% 팽화 검은콩 배양액을 alcalase로 가수분 해한 후 L. plantarum SU22로 발효하는 것이 최적 조건인 것으로 밝혀졌으며 유산균의 생균수가 10.30 Log CFU/ mL까지 증가하였다. 최적 조건에서 총 폴리페놀 함량(94.02 mg GAE/g)과 DPPH 라디칼 소거능(92.50%)이 비 발효 대조군(87.74 mg GAE/g, 83.14%)에 비해 현저하게 증가하였다(P<0.05). 결론적으로 검은콩을 팽화한 후 alcalase 처리와 L. plantarum SU22를 병행하여 발효할 때 바이오제닉 아민이 없는 검은콩 발효액을 효과적으로 제조할 수 있으며, 총 폴리페놀과 DPPH 라디칼 소거능을 유의적으로 증가시킬 수 있다는 것을 알 수 있었다.
        4,300원
        4.
        2019.10 KCI 등재 구독 인증기관 무료, 개인회원 유료
        In this study, steric height variability in the East Asian Seas (EAS) has been analyzed by using ocean reanalysis intercomparison project (ORA-IP) data. Results show that there are significant correlations between ocean reanalysis and satellite data except the phase of annual cycle and interannual signals of the Yellow Sea. Reanalysis ensemble derived from 15-different assimilation systems depicts higher correlation (0.706) than objective analysis ensemble (0.296) in the EAS. This correlation coefficient is also much higher than that of the global ocean (0.441). For the longterm variability of the thermosteric sea level during 1993-2010, a significant warming trend is found in the East/Japan Sea, while cooling trend is shown around the Kuroshio extension area. For the halosteric sea level, a dominant freshening trend is found in the EAS. However, below 300 m depth around this area, the signal-to-noise ratio of the linear trend is generally less than one, which is related to the low density of observation data.
        4,800원
        7.
        2014.05 KCI 등재 서비스 종료(열람 제한)
        The Ministry of Environment (MOE) has made more effort in managing point source pollution rather than in nonpoint source pollution in order to improve water quality of the four major rivers. However, it would be difficult to meet water quality targets solely by managing the point source pollution. As a result of the comprehensive measures established in 2004 under the leadership of the Prime Minister’s Office, a variety of policies such as the designation of control areas to manage nonpoint source pollution are now in place. Various action plans to manage nonpoint source pollution have been implemented in the Soyang-dam watershed as one of the control areas designed in 2007. However, there are no tools to comprehensively assess the effectiveness of the action plans. Therefore, this study would assess the action plans (especially, BMPs) designed to manage Soyang-dam watershed with the WinHSPF and the CE-QUAL-W2. To this end, we simulated the rainfall-runoff and the water quality (SS) of the watershed and the reservoir after conducting model calibration and the model validation. As the results of the calibration for the WinHSPF, the determination coefficient (R2) for the flow (Q, m3/s) was 0.87 and the R2 for the SS was 0.78. As the results of the validation, the former was 0.78 and the latter was 0.67. The results seem to be acceptable. Similarly, the calibration results of the CE-QUAL-W2 showed that the RMSE for the water level was 1.08 and the RMSE for the SS was 1.11. The validation results(RMSE) of the water level was 1.86 and the SS was 1.86. Based on the daily simulation results, the water quality target (turbidity 50 NTU) was not exceeded for 2009∼2011, as results of maximum turbidity in '09, '10, and '11 were 3.1, 2.5, 5.6 NTU, respectively. The maximum turbidity in the years with the maximum, the minimum, and the average of yearly precipitation (1982∼2011) were 15.5, 7.8, and 9.0, respectively, and therefore the water quality target was satisfied. It was discharged high turbidity at Inbuk, Gaa, Naerin, Gwidun, Woogak, Jeongja watershed resulting of the maximum turbidity by sub-basins in 3years(2009∼2011). The results indicated that the water quality target for the nonpoint source pollution management should be changed and management area should be adjusted and reduced.