Suppr超能文献

富营养化地表水作为粪便指示物的总大肠菌群和粪大肠菌群比较。

Comparison of total and faecal coliforms as faecal indicator in eutrophicated surface water.

作者信息

Park J E, Ahn T S, Lee H J, Lee Y O

机构信息

Dept of Life Science, Daegu University, Kyung-San 712-714, Korea.

出版信息

Water Sci Technol. 2006;54(3):185-90. doi: 10.2166/wst.2006.467.

Abstract

The aim of this study was to evaluate the use of total coliforms (TC) and faecal coliforms (FC) using a membrane filtration method for precise monitoring of faecal pollution in Korean surface water. The samples were collected in Korea from both main rivers and their tributaries. Presumptive TC * FC were enumerated. The ratios of presumptive FC to TC were not constant, but varied widely, and TC were difficult to enumerate because of overgrowth by background colonies. For FC this was not the case. Seven hundred and three purified strains of presumptive TC * FC and their background colonies were biotyped using API 20E. Among 272 presumptive TC, non-faecal related species, Aeromonas hydrophila dominated (34.6%) and E. coli accounted for only 5.1%. In contrast, E. coli made up 89% of the 209 presumptive FC. Furthermore, of 164 background colonies on Endo Agar LES, 54.9% was A. hydrophila, while background colonies on m-FC Agar were few (58 strains), and despite their atypical colony appearance, most of them were biotyped as enteric bacteria. These results reveal that the detection of FC rather than TC using m-FC Agar is more appropriate for faecal pollution monitoring in eutrophicated surface water located in a temperate region.

摘要

本研究的目的是评估使用膜过滤法检测总大肠菌群(TC)和粪大肠菌群(FC),以精确监测韩国地表水的粪便污染情况。样本采自韩国的主要河流及其支流。对假定的TCFC进行计数。假定的FC与TC的比例并不恒定,而是差异很大,并且由于背景菌落过度生长,TC难以计数。FC则不存在这种情况。使用API 20E对703株假定的TCFC纯化菌株及其背景菌落进行了生物分型。在272株假定的TC中,非粪便相关物种嗜水气单胞菌占主导(34.6%),大肠杆菌仅占5.1%。相比之下,在209株假定的FC中,大肠杆菌占89%。此外,在Endo Agar LES上的164个背景菌落中,54.9%是嗜水气单胞菌,而在m-FC琼脂上的背景菌落较少(58株),尽管它们的菌落外观不典型,但大多数被生物分型为肠道细菌。这些结果表明,对于温带地区富营养化地表水的粪便污染监测,使用m-FC琼脂检测FC而非TC更为合适。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验