A long-term study comparing membrane filtration with Colilert defined substrates in detecting fecal coliforms and Escherichia coli in natural waters

Assessment methods for determining the presence and number of fecal bacteria and Escherichia coli (E. coli) in waters, foodstuffs, sewage effluent, and soils have evolved from multiple tube fermentations (MTF's) to membrane filtrations (MF's) to, most recently, defined substrate technologies (DST's). Mounting evidence indicates Colilert DST (IDEXX, Westbrook, ME) to be a versatile assessment technique for detecting and enumerating E. coli over a range of applications. This study compared the performance of Colilert DST with a confirmed standard MF technique using m-FC broth (Millipore, Bedford, MA) in assessing E. coli in ten different environmental water samples obtained monthly over a 3-year period from the upper Appomattox River, VA. For the duration of the study, E. coli counts measured by Colilert DST were positively correlated (Pearson's correlation coefficient=0.956; slope=0.979; p<0.0001) with E. coli counts measured by confirmed MF procedures. The results of a two-factor ANOVA revealed that Colilert DST counts compared equally to confirmed MF counts by year (p=0.974), by stream sampled (p=1.0), and by season (p=0.696). E. coli counts were significantly lower during cold season months (Dec/Jan/Feb) than during warm season months (Jun/Jul/Aug) for each year contributing to marked variation in sample quality. Counts obtained by Colilert DST compared equally to those obtained by MF across all samples and dates for the three years. Colilert DST presents a laboratory protocol that is simpler to manage, quicker to process, and easier to quantify results than MF. These factors, plus the enhanced precision and versatility of Colilert DST over the span of this three-year study attests to its suitability for testing ambient surface waters.     

Investigating the Fate and Transport of Escherichia coli in the Charles River,Boston, Using High‐Resolution Observation and Modeling1

Abstract: The processes affecting the fate and transport of Escherichia coli in surface waters were investigated using high‐resolution observation and modeling. The concentration patterns in Boston’s Charles River were observed during four sampling events with a total of 757 samples, including two spatial surveys with two along‐river (1,500 m length) and three across‐river (600 m length) transects at approximately 25‐m intervals, and two temporal surveys at a fixed location (Community Boating) over seven days at hourly intervals. The data reveal significant spatial and temporal structure at scales not resolved by typical monitoring programs. A mechanistic, time‐variable, three‐dimensional coupled hydrodynamic and water quality model was developed using the ECOMSED and RCA modeling frameworks. The computational grid consists of 3,066 grid cells with average length dimension of 25 m. Forcing functions include upstream and downstream boundary conditions, Stony Brook, and Muddy River (major tributaries) combined sewer overflow (CSO) and non‐CSO discharge and wind. The model generally reproduces the observed spatial and temporal patterns. This includes the presence and absence of a plume in the study area under similar loading, but different hydrodynamic conditions caused by operation of the New Charles River Dam (downstream) and wind. The model also correctly predicts an episode of high concentrations at the time‐series station following seven days of no rainfall. The model has an overall root mean square error (RMSE) of 250 CFU/100 ml and an error rate (above or below the USEPA‐recommended single sample criteria value of 235 CFU/100 ml) of 9.4%. At the time series station, the model has an RMSE of 370 CFU/100 ml and an error rate of 15%.     

Long-Term Variability in Bioassessments: A Twenty-Year Study from Two Northern California Streams

Long-term variability of bioassessments has not been well evaluated. We analyzed a 20-year data set (1984–2003) from four sites in two northern California streams to examine the variability of bioassessment indices (two multivariate RIVPACS-type O/E scores and one multimetric index of biotic integrity, IBI), as well as eight metrics. All sites were sampled in spring; one site was also sampled in summer. Variability among years was high for most metrics (coefficients of variation, CVs ranging from 16% to 246% in spring) but lower for indices (CVs of 22–26% for the IBI and 21–32% for O/E scores in spring), which resulted in inconsistent assessments of biological condition. Variance components analysis showed that the time component explained variability in all metrics and indices, ranging from 5% to 35% of total variance explained. The site component was large (i.e., >40%) for some metrics (e.g., EPT richness), but nearly absent from others (e.g., Diptera richness). Seasonal analysis at one site showed that variability among seasons was small for some metrics or indices (e.g., Coleoptera richness), but large for others (e.g., EPT richness, O/E scores). Climatic variables did not show consistent trends across all metrics, although several were related to the El Ni?o Southern Oscillation Index at some sites. Bioassessments should incorporate temporal variability during index calibration or include climatic variability as predictive variables to improve accuracy and precision. In addition, these approaches may help managers anticipate alterations in reference streams caused by global climate change and high climatic variability.     

Effects of prevalent freshwater chemical contaminants on in vitro growth of Escherichia coli and Klebsiella pneumoniae

Many surface and ground waters in the continental US are contaminated with a variety of chemical pollutants, which are usually present in concentrations in the ppm and ppb range. The effects of these pollutants on coliform bacteria, which are prominent members of the aquatic flora, are poorly understood. Using a microtiter plate assay, isolates of Escherichia coli (from chicken intestine and fresh water), and an isolate of Klebsiella pneumoniae (from bovine milk) were exposed to varying concentrations of common pollutants over a 24 h period. The herbicides/pesticides simazine, atrazine, and diazinon; the VOCs trichloroethene and MTBE; the estrogens estradiol and estrone; and caffeine, all failed to inhibit bacterial growth at ppm levels. Only ethylene glycol, and the herbicide 2,4-D, significantly inhibited bacterial growth compared to controls. These results suggest that the replication of coliform bacteria in fresh waters is not adversely impacted by many common pollutants.     

Phase partitioning modeling of ethanol, isopropanol, and methanol with BTEX compounds in water

This study investigates the equilibrium phase partitioning behavior of ethanol, isopropanol, and methanol in a two-phase liquid-liquid system consisting of water and an individual BTEX (Benzene, Toluene, Ethylbenzene, and Xylenes) compound. A previously developed computer program is enhanced to generate ternary phase diagrams for analysis of each three-component cosolvent-nonaqueous phase liquid (NAPL)-water mixture combination. The required activity coefficients are estimated using the UNIFAC (Universal Quasichemical Functional group Activity Coefficient) model. The UNIFAC-derived ternary phase diagrams generally show good agreement against published experimental data, and similar phase partitioning behavior is observed for every BTEX compound in the presence of the same cosolvent. Furthermore, a set of laboratory experiments is conducted to determine the maximum single-phase water content for every mixture combination considered in this study where the volume composition of the cosolvent and the NAPL components is a blend of 85% alcohol and 15% BTEX compound. Comparison of experimentally-derived maximum single-phase water contents against UNIFAC-derived results shows good agreement for mixtures containing ethanol and methanol, but relatively poor agreement for mixtures containing isopropanol.     

基于响应面法优化污水中雌酮的固相萃取条件

为提高污水样品中雌酮(E1)的固相萃取回收率,应用响应面法(RSM)对影响固相萃取的关键参数进行了优化,建立了固相萃取回收率的二次多项式模型,分析了模型有效性和因子交互作用,确定了最佳固相萃取条件;并对实际污水处理厂进、出水样品中的E1进行了固相萃取和浓度检测。结果表明,影响E1固相萃取回收率的因素重要性依次为:洗脱体积>进样速率>洗脱速率。最佳固相萃取条件为:洗脱体积11.15 mL;进样速率10.62mL/min;洗脱速率4.15 mL/min;在此条件下,预测回收率最大可达81.82%。分别采用SBR、氧化沟和A2/O工艺的3座污水处理厂进水E1浓度分别为36.8⁸9.0、24.189.0、24.1²8.4和27.828.4和27.8⁵8.1 ng/L,对应去除率分别为62.8%58.1 ng/L,对应去除率分别为62.8%⁷7.0%、49.3%77.0%、49.3%⁶3.6%和56.1%63.6%和56.1%⁷4.9%。3种污水处理工艺对E1均有一定的去除能力,但出水中残余E1仍远超过预测无效应浓度。     

紫外线和次氯酸钠对Escherichia coli和Poliovirus的消毒作用

本研究选用大肠杆菌(Escherichia coli)和脊髓灰质炎病毒(poliovirus)分别作为典型的细菌和病毒,利用培养和定量PCR的检测技术,对比研究紫外线消毒和次氯酸钠消毒对细菌和病毒的作用特点.结果表明:脊髓灰质炎病毒比大肠杆菌更难被灭活,达到1-log所需的氯剂量分别为19.2 mg·L~(-1)·min和10.14 mg·L~(-1)·min;所需的紫外线剂量分别为6.37 m J·cm~(-2)和1.81 m J·cm~(-2).定量PCR方法检测大肠杆菌和脊髓灰质炎病毒达到1-log的核酸损伤所需的紫外线剂量和氯剂量要比培养法高出1~2数量级,紫外线消毒对脊髓灰质炎病毒的RNA损伤量明显大于对大肠杆菌的DNA损伤,病毒的单链RNA对紫外线的敏感性更强,该结果与培养法正好相反.达到1-log核酸损伤脊髓灰质炎病毒所需的紫外线剂量为135 m J·cm~(-2),大肠杆菌所需的剂量为270.3 m J·cm~(-2),核酸损伤需要更多的消毒剂量,可能由于消毒过程微生物进入活性但处于非可培养状态(VBNC),以及灭活对微生物其他分子的损伤和微生物死后核酸的持续性.     

水质标准中指示微生物的发展及现状

饮用水病原微生物污染是公共卫生面临的主要威胁之一,微生物监测在水质监测中的必要性日益受到人们的认可。在实际工作中,一般是通过检测指示微生物间接反映病原微生物的存在。通过调研国内外各组织、机构颁布的水质标准发现,近年来,我国环境质量标准和污染物排放标准中对于指示微生物的选择有从总大肠菌群向粪大肠菌群和大肠埃希氏菌(E.coli)转变的趋势,而美国环保署、欧盟、世界卫生组织、澳大利亚国家健康与医疗研究委员会等根据最新的流行病学证据,强调了大肠埃希氏菌(E.coli)、肠球菌(Enterococci)与粪便污染的相关性更强,可用于替代大肠菌群。建议我国在后续水质标准中对微生物指标进行增补修订时,参考国外经验,形成集成多种指示微生物与多种特定病原体的监测指标体系,以更好地保护环境功能和民众健康。     

BACILLUS SP. BT-7木聚糖酶基因克隆与鉴定

报道了从一株有较高半纤维素酶活性的Ｂａｃｉｌｕｓｓｐ．ＢＴ７克隆内切木聚糖酶基因的结果．以大肠杆菌ＸＬ１ｂｌｕｅ为宿主菌,采用水解圈检测法,在含有ＲＢＢ木聚糖（４氧甲基Ｄ葡萄糖苷Ｄ木聚糖Ｒｅｍａｚｏｌ亮蓝Ｒ）的平板上分离到能水解ＲＢＢ木聚糖的阳性克隆３个,对它们进行的限制酶作图和Ｓｏｕｔｈｅｒｎ杂交分析表明,它们属于３种不同的内切木聚糖酶基因     

Detection of Escherichia coli in a cattle manure composting process by selective cultivation and colony polymerase chain reaction

Livestock manure is suitable for use as a composting material. However, various intestinal microbes, such as Escherichia coli, are significant components of such manures. Thus, it is desirable that the level of intestinal microbes, and particularly opportunistic pathogens, in compost is inspected and counted regularly. The sensitivity and specificity of detection of E. coli in compost have been improved by selective cultivation followed by colony polymerase chain reaction (PCR) using the ECO primer. Indeed, the sensitivity of this method is higher than that of DNA extraction from compost and PCR. In this study, changes in numbers of E. coli present in a field-scale composting process over time was assessed using selective cultivation and colony PCR. Numbers of ECO-positive colonies after 24 h decreased, with a concomitant rise in compost temperature. ECO-positive colonies were not detected from 33 to 48 h. However, ECO-positive colony numbers increased beginning on day 4 and continuing until day 42. Thus, it seems likely that the high temperatures reached during the composting process did not affect E. coli numbers in the final compost. Additionally, selective cultivation followed by colony PCR using specific primers is an appropriate method of determining levels of cultivable pathogens in composted materials.