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논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국환경분석학회 환경분석과 독성보건 한국환경분석학회지 제15권 제4호
발행연도
2012.1
수록면
307 - 313 (7page)

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This study was conducted to analyze the composition of amino acids to develop of a method for tracing contamination sources in groundwater which is polluted by livestock wastewater or leachate from carcass burial sites. In this study, the FALCON (Fingerprinting Analysis of Leachate Contaminants) procedure was used to find unique characteristics in the samples of livestock wastewater and carcass leachate. For the livestock wastewater samples, Lysine accounted for the largest portion (23.39%), followed by alanine (21.93%) and glycine (6.94%). As for the composition of amino acids in carcass leachate, on the other hand, valine made up the highest percentage (28.72%), followed by leucine (19.25%) and isoleucine (15.40%), To identify distinct characteristics between livestock wastewater and carcass leachate in terms of their amino acid composition,individual data sets were estimated for the statistical reproducibility/comparability of fingerprint patterns, and consequently six amino acids such as valine, isoleucine, leucine, lysine, methionine and tryptophan were selected to develop the indicators. To statistically estimate the suitability of these six amino acids, the hierarchical clustering method was used. As a result, all samples except one livestock wastewater sample were clearly divided into two groups: livestock wastewater and carcass leachate. The similarity was 0.665 among the seven samples of livestock wastewater and 0.500 among the seven samples of carcass leachate, which shows that there are similar distribution patterns of amino acids among the samples of each group. On the other hand, the similarity between the two groups turned out to be 0.121, which indicates that livestock wastewater and carcass leachate have significantly different characteristics from each other in terms of amino acid concentration. Therefore, this method of analyzing the composition of amino acids may be useful to trace contamination sources at monitoring locations with pollution fingerprints.

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