• Title/Summary/Keyword: downstream matrices

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Applying Quality Function Deployment in the Apparel Industry

  • Diane M. Scheurell;Ph. D.
    • The International Journal of Costume Culture
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    • v.2 no.2
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    • pp.14-30
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    • 1999
  • Quality Function Deployment (QFD) is a product development tool used to ensure that the voice of the customer is heard and translated into products. This paper shows the applicability and usefulness of this product development tool in the apparel industry by developing an apparel example and taking it through the four matrices that encompass a QFD process.

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Sample Preparation and Nucleic Acid-based Technologies for the Detection of Foodborne Pathogens (식중독균의 검출을 위한 시료전처리 및 핵산기반의 분석기술)

  • Lim, Min-Cheol;Kim, Young-Rok
    • Food Engineering Progress
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    • v.21 no.3
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    • pp.191-200
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    • 2017
  • There have been great efforts to develop a rapid and sensitive detection method to monitor the presence of pathogenic bacteria in food. While a number of methods have been reported for bacterial detection with a detection limit to a single digit, most of them are suitable only for the bacteria in pure culture or buffered solution. On the other hand, foods are composed of highly complicated matrices containing carbohydrate, fat, protein, fibers, and many other components whose composition varies from one food to the other. Furthermore, many components in food interfere with the downstream detection process, which significantly affect the sensitivity and selectivity of the detection. Therefore, isolating and concentrating the target pathogenic bacteria from food matrices are of importance to enhance the detection power of the system. The present review provides an introduction to the representative sample preparation strategies to isolate target pathogenic bacteria from food sample. We further describe the nucleic acid-based detection methods, such as PCR, real-time PCR, NASBA, RCA, LCR, and LAMP. Nucleic acid-based methods are by far the most sensitive and effective for the detection of a low number of target pathogens whose performance is greatly improved by combining with the sample preparation methods.

Analysis of Fish Ecology and Water Quality for Health Assessments of Geum - River Watershed (금강본류의 건강성 평가를 위한 어류생태 및 수질 특성분석)

  • Park, Yun-Jeong;Lee, Sang-Jae;An, Kwang Guk
    • Korean Journal of Environment and Ecology
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    • v.33 no.2
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    • pp.187-201
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    • 2019
  • This study examined the physicochemical water quality and evaluated the ecological health in 14 sites of Geum River (upstream, mid-stream, and downstream) using the fish community distribution and guilds and eight multi-variable matrices of FAI (Fish Assessment Index) during June 2008-May 2009. The analysis of the water quality variables showed no significant variation in the upstream and mid-stream but a sharp variation due to the accumulation of organic matter from the point where the treated water of Gap and Miho streams flew. The analysis of physicochemical water properties showed that BOD, COD, TN, TP, Cond, and Chl-a tended to increase while DO decreased to cause eutrophication and algae development from the downstream where Miho and Gap stream merged. The analysis of fish community showed that the species richness index and species diversity index increased in the mid-stream area but decreased in the downstream area, indicating the stable ecosystem in the upper stream and the relatively unstable ecosystem in the downstream. The analysis of the species distribution showed that the dominant species were Zacco platypus that accounted for 20.9% of all fish species and Zacco koreanus that accounted for 13.1%. The analysis of the fish tolerance and feeding guild characteristics showed that the sensitive species, the insectivore species, and the aquatic species were dominant in the mid-stream point. On the other hand, contaminants from the sewage water treatment plant of Miho stream had a profound effect in the downstream to show the dominance of tolerant species, omnivorous species, and lentic species. Therefore, it is necessary to improve water quality by reducing the load of urban pollutants and to pay attention to the conservation and restoration of aquatic ecosystems.

Characterizing Fluorescence Properties of Dissolved Organic Matter for Water Quality Management of Rivers and Lakes (하천 및 호소 수질관리를 위한 용존 자연유기물질 형광특성 분석)

  • Hur, Jin;Shin, Jae-Ki;Park, Sung-Won
    • Journal of Korean Society of Environmental Engineers
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    • v.28 no.9
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    • pp.940-948
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    • 2006
  • Fluorescence measurements of dissolved organic matter(DOM) have the superior advantages over other analysis tools for applying to water quality management. They are simple and fast and require minimal pretreatment of samples. Fluorescence index($F_{450}/F_{500}$), synchronous spectra, and fluorescence excitation-emission matrices(EEM) of various DOM samples were investigated to discriminate autochthonous/allochthonous composition, protein-like fluorescence, fulvic-like fluorescence, humic-like fluorescence, terestrial humic-like fluorescence by comparing among the real DOM samples of different origins with the help of literature. The samples used included standard purified DOM, lake, river and wastewater treatment effluent. The relative distribution of various DOM composition was derived from the ratios of each fluorescence region. The results were very consistent with those expected from the sample properties. Allochthonous and terrestrial humic-like fluorescence were more prominent in the samples with abundant soil-derived DOM components. In addition, the protein-like fluorescence property was more pronounced in the samples where strong algal or microbial activities were expected. It was also shown that the ratio of protein-like/terrestrial humic-like fluorescence obtained from synchronous spectrum and fluorescence EEM could be used as an indicator for the evaluation of wastewater treatment on the downstream water quality of rivers and for the prediction of the degree of algal/microbial activities in lakes. It is expected that the results of this study will provide the basic information to develop the future water quality management techniques using DOM fluorescence measurements.