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전통 밀누룩에서 분리한 유산균의 특성 및 마우스 대식세포에서의 Nitric Oxide 생성에 미치는 영향
김근섭(Geun-Seop Kim),최영호(Yeong-Ho Choe),김홍국(Hong-Kook Kim),김병수(Byeong-Soo Kim) 한국생물공학회 2018 KSBB Journal Vol.33 No.3
The purpose of this study is to assess of efficacy about lactic acid bacteria isolated form traditional wheat Nuruk. 6 strains was isolated from traditional Nuruk. The Strains identified by 16s rRNA gene sequencing are Lactobacillus Curvatus (named SA-13, YS-2), Pediococcus Acidilactici (named SS-5, YS-3) and Pediococcus Pentosaceus (named SA-2, YS-1). P. acidilactici SS-5 has Acid and bile tolerance. The bacteria free - supernatant of P. acidilactici SS-5 showed antibacterial activity in gram negative bacteria (Escherichia Coli, Salmonella Typhimurium) and gram positive bacteria (Staphylococcus Aureus, Listeria Monocytogenes) in paper disk diffusion assay. The bacteria free - supernatant of P. acidilactici SS-5 showed effect in all of used pathogenic bacteria at concentration of 11.25 ㎎/mL. All strains isolated from traditional Nuruk showed more than 60 percents on the antioxidant activity. Raw 264.7 cell line was used as a macrophage model to assess the effects on cytotoxic test and the production of nitric oxide. The nitric oxide productions of the viable bacteria and heat-inactivated bacteria of the P. acidilactici SS-5 were superior to other strains isolated Nuruk.
이상훈,김근섭,이진,홍완희,김성환,Lee, Sang-Hun,Kim, Geun-Seop,Lee, Jin,Hong, Wan-Hui,Kim, Seong-Hwan 한국음향학회 1989 韓國音響學會誌 Vol.8 No.4
본 논문에서는 지금까지 연구 되어온 고역통과 필터및 적응 transversal LMS필터와는 달리 적응 격자 위너 필터를 이용하여 적응 잡음 제거기를 구성함으로써 폐음과 심음을 분리할 수 있는 새로운 방법을 제시하였다. 이를 위하여 실제로 폐음및 심전도 신호를 검출하였으며, 제2의 심음 제거 방법으로 T파검출 알고리즘을 이용하여 T파위치를 측정하였다. 실험결과, 분리를 위하여 적응 transversal LMS는 100-200차, 적응 transversal MLMS(modified LMS) 필터는 75-100차, 적응 격자 위너 필터는 10-20차가 필요하였고, 적응 펄터링이 고역통과 필터링보다 저주파 신호성분의 손실이 없는 것으로 정확도가 향상되었다. A new proposed method can separate heart sounds and lung sounds by the realization of adaptive noise canceler using adaptive lattice Wiener filter in contrast to adaptive transversal LMS filter and high pass filter as before. Lung sounds and ECG signal are detected for this purpose, and especially the second heart sounds are reduced by finding T wave location with a T wave seeking algorithm. As a result, for heart sounds reduction It was found that adaptive transversal LMS filter required 100-200's orders, 75-100's orders In adaptive transversal MLMS filter, and only 10-20's orders in adaptive lattice Wiener filter. Adaptive filtering technique has shown greater accuracy than high pass filtering without loss of low frequency component.