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Ultrasensitive Detection of Ovarian Cancer Biomarker Using Au Nanoplate SERS Immunoassay
엄가영,황아름,김홍기,문정,강현주,정주연,임은경,정진영,박현규,강태준 한국바이오칩학회 2021 BioChip Journal Vol.15 No.4
Ovarian cancer is the fifth leading cause of cancer-related deaths among women. In particular, it is a high cause of mortality among women in industrialized countries. Human epididymis protein 4 (HE4) has recently emerged as a serological biomarker for the diagnosis of ovarian cancer. Herein, we report the ultrasensitive detection of HE4 using a gold (Au) nanoplate (NPl)-based surface-enhanced Raman scattering (SERS) immunoassay, wherein a capture antibody-immobilized Au NPl acts as an immune substrate and detection antibody-immobilized Au nanoparticles (NPs) serve as immunoprobes. The presence of the target biomarker (HE4) results in the formation of a sandwich structure of Au NPls and NPs, providing strong SERS signals. The developed method allows us to detect HE4 at low concentrations of 10 –17 M. The selective detection of HE4 was verified using the Au NPl SERS immunoassay. We anticipate that the current approach could be helpful for the early diagnosis of ovarian cancer and eventually applied for diverse biomarker detection.
강혜경,조희금,이미영,엄가영,Kang, Hye-Kyung,Cho, Hee-Keum,Lee, Mi-Young,Eum, Ga-Young 한국주거학회 2014 한국주거학회 논문집 Vol.25 No.5
This research intends to discover the housing conditions of the elderly in rural area in South Korea, and identify measures to improve the conditions for an independent and safe life of seniors. This research conducted both survey research and experimental study. The survey interviewed 1,000 elderly people over 65 in farming areas across the country based on random selection from Census 2010 and sampling by regional size and administrative unit (Eup, Myeon, Li) to reflect the regional characteristics more accurately. The data was analyzed using SPSS 18.0 program. The experimental study identified the housing elements that may threaten the life of seniors based on a complete survey on households of elderly people over 65 in a selected typical rural village. As a result, the most inconvenient and threatening factor in the housing facilities appears to be the floor level difference. It was identified that most houses had the risk of falling due to the differences of the floor level between indoor and outdoor, and slippery floor materials. The squat toilets also bring inconvenience not only to the seniors with limited mobility but also to healthy elderly people. In particular, as most bathroom doors opened inward, it may be difficult to escape from or rescue someone in an emergency of falling, fainting or exhaustion.
농촌 고령자의 일상활동능력 및 우울감이 생활만족도에 미치는 영향
조희금 ( Hee Keum Cho ),이미영 ( Mi Young Lee ),강혜경 ( Hye Kyun Kang ),엄가영 ( Ga Young Eum ) 대한가정학회 2014 Human Ecology Research(HER) Vol.52 No.6
The purpose of this study was to investigate the effects of the instrumental activities of daily living (IADL) and depression on the life satisfaction of the rural elderly. The research subjects of this study were 1,000 people aged 65 years and over living in the rural areas of Korea. The data were collected using a questionnaire with direct interviews and analyzed using SPSS ver. 18.0 for Windows. The results of this study were as follows: First, the rural elderly’s depression was affected by the IADL, cost of living, education level, and farming variables. The higher the IADL, the more sufficient the cost of living, the higher the education level and the more the farming time that the rural elderly had, the lower was the level of depression that they had. Second, the life satisfaction of the rural elderly was affected by the cost of living, depression, IADL, need for life services, and gender. The more sufficient the cost of living, the lower the level of depression, the higher the IADL, the less the need for life services, the higher was the life satisfaction that they experienced. Third, the results of the path analysis revealed that life satisfaction was influenced both directly and indirectly. The factors that affected life satisfaction directly were the cost of living, IADL, need for life services, and gender. The factors that affect life satisfaction indirectly were the IADL, cost of living, education level, and farming. Among them, farming and education level influenced life satisfaction indirectly through the parameter variables of depression.