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1.
Four point-of-use disinfection technologies for treating sewage-contaminated well water were compared. Three systems, based on flocculant-disinfectant packets and N-halamine chlorine and bromine contact disinfectants, provided a range of 4.0 to >6.6 log10 reductions (LR) of naturally occurring fecal indicator and heterotrophic bacteria and a range of 0.9 to >1.9 LR of coliphage.Disasters and flooding can overwhelm sanitation infrastructure, leading to sewage contamination of potable waters. This may be routine during the wet season in many parts of the world and spreads numerous waterborne diseases (21). Point-of-use (POU) water treatment has reduced the incidence of diarrheal disease when used for household drinking water (3, 4, 6, 13) and is now being promoted for disaster relief. While POU systems have recently been reviewed (14), to our knowledge there has been no direct, experimental comparison for treating actual sewage-contaminated waters. In this study, the efficacies of four POU disinfection systems (based on sodium dichloroisocyanurate [NaDCC] tablets, a flocculent-disinfectant powder, and chlorine and bromine contact disinfectant cartridges) in reducing the concentrations of six microbial indicators in well water contaminated with raw sewage were compared.The NaDCC tablets (67 mg; Aquatabs; Medentech, Wexford, Ireland), used for disinfection in low-turbidity water, have shown preliminary efficacy for routine household drinking water treatment (3, 4). The flocculant-disinfectant packet (4 g; PUR; Procter & Gamble Co., Cincinnati, OH) includes Fe2(SO4)3, bentonite, Na2CO3, chitosan, polyacrylamide, KMnO4, and Ca(OCl)2 (13). It achieved >7.3 log10 reductions (LR) of 24 bacteria species; >4.6 LR of poliovirus and rotavirus in EPA no. 2 test water (turbidity, >30 nephelometric turbidity units [NTU]) (15); and reduced diarrheal illness in Guatemala, Liberia, Kenya, and Pakistan (6, 7, 11, 13).HaloPure canisters (Eureka Forbes, Mumbai, India) contain N-halamine polymer disinfectant beads, poly[1,2-dichloro-5-methyl-5-(4′-vinylphenyl)hydrantoin] for chlorine canisters, and poly[1,2-dibromo-5-methyl-5-(4′-vinylphenyl)hydrantoin] for bromine canisters. Seeded laboratory trials achieved >6.8 LR for Escherichia coli and Staphylococcus aureus as water was passed through the canisters (2). The Cl-contact (producing residuals ranging from 0 to 0.6 mg/liter) and Br-contact (with residuals of 0.68 to 1.8 mg/liter) disinfectants achieved 2.9 LR and 5.0 LR of the bacteriophage MS2, respectively, and 27.5% and 88.5% reductions of the algal toxin microcystin, respectively (5).Sewage-contaminated water was prepared by mixing 9 liters of potable, nonchlorinated well water (pH 7.8; turbidity, 0.33 NTU; Williamston, MI) with 1 liter of raw sewage (City of East Lansing Wastewater Treatment Plant, MI) with an average pH of 6.6 ± 0.1, a biochemical oxygen demand of 144 ± 36 mg/liter, a concentration of total suspended solids of 146 ± 31 mg/liter, and a turbidity of 132 ± 12 NTU. Three disinfection trials were conducted at room temperature for each POU system on three different days to allow for variance in sewage strength. The turbidities of 1:10 dilutions of raw sewage averaged 7.5 ± 2.0 NTU. Table Table11 lists the indicator microorganism concentrations in the influent and effluent for each system.

TABLE 1.

Concentrations of influent and 30-min-effluent microorganisms for POU disinfectant systems treating sewage-contaminated water
Microorganism groupGeometric mean concn (range) [% of samples below detection limit]a
NaDCC
Flocculant-disinfectant
Cl-contact
Br-contact
InfluentEffluent at 30 minInfluentEffluent at 30 minInfluentEffluent at 30 minInfluentEffluent at 30 min
Total coliforms2.7 × 104 (6.7 × 103 to 7.6 × 104)4.3 (4.0 × 10−2 to 1.6 × 102)1.7 × 104 (1.2 × 104 to 2.7 × 104)4.0 × 10−2 (<1.0 × 10−2 to 2.4 × 10−1) [33]2.9 × 104 (2.3 × 104 to 4.0 × 104)<1.0 × 10−2 [100]4.5 × 104 (1.9 × 104 to 7.2 × 104)1.1 × 10−2 (<1.0 × 10−2 to 1.3 × 10−2) [66]
Heterotrophic plate counts8.7 × 104 (2.7 × 104 to 1.8 × 105)6.4 × 101 (2.1 × 101 to 4.5 × 102)8.9 × 104 (2.9 × 104 to 4.3 × 105)8.5 (4.7 to 2.7 × 101)6.6 × 104 (3.5 × 104 to 1.1 × 105)3.9 (3.5 to 4.2)8.3 × 104 (2.4 × 104 to 2.0 × 105)4.6 (2.2 to 7.7)
E. coli3.3 × 103 (7.7 × 102 to 1.1 × 104)1.8 × 101 (9.0 × 10−1 to 5.3 × 102)6.7 × 103 (2.3 × 103 to 4.3 × 104)1.1 × 10−2 (<1.0 × 10−2 to 1.3 × 10−2) [66]4.7 × 103 (2.3 × 103 to 1.1 × 104)<1.0 × 10−2 [100]1.5 × 104 (6.3 × 103 to 4.6 × 104)<1.0 × 10−2 [100]
Enterococci8.8 × 102 (5.7 × 102 to 1.3 × 103)2.3 (<1.0 × 10−2 to 4.9 × 101) [33]6.3 × 102 (5.0 × 102 to 8.7 × 102)<1.0 × 10−2 [100]9.9 × 102 (5.3 × 102 to 1.7 × 103)<1.0 × 10−2 [100]1.3 × 103 (7.3 × 102 to 2.3 × 103)<1.0 × 10−2 [100]
Clostridia1.6 × 102 (6.0 × 101 to 3.0 × 102)6.4 (6.7 × 10−1 to 7.7 × 101)2.0 × 102 (7.0 × 101 to 6.0 × 102)7.9 × 10−1 (4.5 × 10−1 to 1.4)3.4 × 101 (2.0 × 101 to 6.3 × 101)2.4 × 10−2 (<1.0 × 10−2 to 6.0 × 10−2) [33]4.4 × 101 (2.7 × 101 to 9.3 × 101)7.4 × 10−2 (<1.0 × 10−2 to 3.6 × 10−1) [33]
Coliphage1.5 × 102 (1.2 × 102 to 2.2 × 102)3.1 × 101 (<1.0 to 1.8 × 102) [33]1.4 × 102 (1.3 × 102 to 1.4 × 102)1.9 × 101 (<1.0 to 1.1 × 102) [33]9.4 × 101 (4.3 × 101 to 1.6 × 102)7.3 (1.3 to 4.7 × 101)7.7 × 101 (4.0 × 101 to 1.2 × 102)<1.0 [100]
Open in a separate windowaValues shown are numbers of CFU/ml except those for coliphage, which are numbers of PFU/ml. The percentage of samples below the detection limit (n = 3 for all systems) is 0% if not shown.All systems were used in accordance with the manufacturer''s directions for 10 liters of water. For NaDCC trials, one tablet was added and allowed 30 min of contact time (total dose of 3.2 mg/liter of hypochlorite; in deionized water, one tablet produced 2.1 mg/liter free Cl residual). For flocculant-disinfectant trials, one packet was added, stirred vigorously for 5 min, strained through cheesecloth after 10 min, and allowed 20 min of further contact time. The amount of hypochlorite included in one packet was not indicated, but one packet provided 1.5 mg/liter free Cl residual in 10 liters of deionized water. Samples were taken at 1, 3, 5, 10, 15, and 30 min for both systems.For the Cl-contact and Br-contact trials, disinfectant cartridges were installed in AquaSure housings consisting of an upper reservoir for influent, which flows by gravity through the disinfectant cartridge to a lower reservoir with a tap for dispensing (Fig. (Fig.1).1). The housings usually include cloth and activated charcoal prefilters, but these were removed in order to directly evaluate the disinfectant. With the tap open, 10 liters of influent was added and samples were collected at first flow (6 to 12 min) and after 15 and 30 min of flow. A single chlorine canister was used for all trials; the bromine canister was replaced for the third trial because the original clogged.Open in a separate windowFIG. 1.Flow schematic for contact disinfectant cartridges. Arrows indicate the directions of water flow from the upper reservoir (U), through the halogen (chlorine or bromine) disinfectant cartridge (H) containing packed N-halamine beads (N), to the lower reservoir (L) and out through the open tap.Microbial indicators in the influent and effluent (collection tubes contained sodium thiosulfate) in triplicate were quantified as numbers of CFU/ml by using mENDO agar for total coliforms (9), mHPC agar for heterotrophic plate counts (8), mTEC medium for E. coli (19), mEI agar for the genus Enterococcus (18), and mCP agar for the genus Clostridium (1) (Becton, Dickinson and Co., Franklin Lakes, NJ). Coliphage (PFU/ml) were measured with a double agar overlay assay, EPA method 1601 (17). Residuals (mg/liter) were measured using a Hach chlorine (free and total) test kit, model CN66 (Hach Co., Loveland, CO) (used for bromine in accordance with Hach method 8016 [10], with the instrument reading multiplied by 2.25 [the ratio of the atomic weights of bromine and chlorine], as advised by Hach Co. technical support).Comparison of water quality levels was done at 30 minutes. LR were calculated, with zeros replaced with the detection limits (Fig. (Fig.2).2). All POU systems reduced microbial concentrations below the detection limit in some trials (Table (Table1),1), making the calculated reductions the lower bound for those trials.Open in a separate windowFIG. 2.Average LR of naturally occurring microorganisms at 30 min for sewage-contaminated well water (1:10 dilution of raw sewage in well water) with the use of four POU disinfection systems (error bars represent 1 standard error). * indicates that effluent was below the limit of detection for all samples. Limit of detection was substituted to calculate LR and actual reductions may be greater than shown.Average LR for each POU system were compared using two-way analysis of variance with post hoc least-significant-difference (LSD) tests, performed with SPSS 11.0.1 (SPSS, Inc.). LR at 30 min differed significantly between systems (analysis of variance; F3,5 = 20.6; P < 0.001). There was no significant difference between the LR achieved by flocculant-disinfectant and contact disinfectants (LSD; mean difference, 0.2 to 0.5 LR; P > 0.05), while the NaDCC tablets induced significantly lower reductions (LSD; mean difference, 1.5 to 2.0 LR; P < 0.001).There was detectable residual free chlorine after 30 min for one NaDCC trial (0.4 mg/liter) and two flocculant-disinfectant trials (0.1 and 0.4 mg/liter). No contact disinfectant trial produced a measurable residual.No system in this study reliably produced residuals for safe storage after POU treatment or ideal virus reduction. Except for the NaDCC system, the POU systems achieved approximately 5.5 LR for E. coli and coliforms, 4.5 LR for enterococci, 4.0 LR for heterotrophs, 2.5 LR for clostridia, and 1.0 LR for coliphage. Coliphage was reduced below detection limits in all trials with Br-contact, similar to what was found in previous research (5). Bromine disinfection has proved safe and effective for large-scale maritime applications, like U.S. Navy vessels (20), and appears promising for household treatment. Further assessment of the Br-contact system is warranted, as is field comparison of POU systems in disaster relief.  相似文献   

2.
The ammonia-oxidizing prokaryote (AOP) community in three groundwater treatment plants and connected distribution systems was analyzed by quantitative real-time PCR and sequence analysis targeting the amoA gene of ammonia-oxidizing bacteria (AOB) and archaea (AOA). Results demonstrated that AOB and AOA numbers increased during biological filtration of ammonia-rich anoxic groundwater, and AOP were responsible for ammonium removal during treatment. In one of the treatment trains at plant C, ammonia removal correlated significantly with AOA numbers but not with AOB numbers. Thus, AOA were responsible for ammonia removal in water treatment at one of the studied plants. Furthermore, an observed negative correlation between the dissolved organic carbon (DOC) concentration in the water and AOA numbers suggests that high DOC levels might reduce growth of AOA. AOP entered the distribution system in numbers ranging from 1.5 × 103 to 6.5 × 104 AOPs ml−1. These numbers did not change during transport in the distribution system despite the absence of a disinfectant residual. Thus, inactive AOP biomass does not seem to be degraded by heterotrophic microorganisms in the distribution system. We conclude from our results that AOA can be commonly present in distribution systems and groundwater treatment, where they can be responsible for the removal of ammonia.Ammonia can be present in source water used for drinking water production or added to treated water with chlorine to form chloramines as a disinfectant. However, the presence of ammonia in drinking water is undesirable because nitrification might lead to toxic levels of nitrite (29) or adverse effects on water taste and odor (4) and might increase heterotrophic bacteria, including opportunistic pathogens (29). Two-thirds of the drinking water in The Netherlands is produced from groundwater. Most of the groundwater used for drinking water production is anoxic with relatively high concentrations of methane, iron, manganese, dissolved organic carbon (DOC), and ammonia. Treatment of anoxic groundwater aims at achieving biologically stable water, because drinking water in The Netherlands is distributed without a disinfectant residual. As a result, a highly efficient nitrification process during rapid medium filtration is required.Nitrification is the microbial oxidation of ammonia to nitrate and consists of two processes: the oxidation of ammonia to nitrite by ammonia-oxidizing prokaryotes (AOP) and the oxidation of nitrite to nitrate by nitrite-oxidizing bacteria (NOB). Recently it was shown that in addition to bacteria, archaea also are capable of ammonia oxidation (13). Since then, ammonia-oxidizing archaea (AOA) have been found in many different ecosystems, including wastewater treatment systems (10, 20, 24). However, it is currently unknown if AOA are present in drinking water treatment processes and distribution systems. Recent studies have focused on nitrification in drinking water treatment (16, 28). In those studies, AOB and NOB were enumerated by traditional most-probable-number (MPN) methods using selective liquid media. However, MPN methods are time-consuming and underestimate the numbers of AOP and NOB (3). Quantitative real-time PCR has been used to quantify AOB in drinking water (12) and might be a useful tool for quantifying AOB and AOA in drinking water.In our study, a real-time PCR method targeting the amoA gene of AOB or AOA was developed to quantify numbers of AOP in drinking water. This real-time PCR method was used together with a phylogenetic analysis of the amoA gene of AOB and AOA to do the following: (i) determine the treatment steps where AOP dominates in the groundwater treatment train of three drinking water production plants in The Netherlands, (ii) quantify the AOP entering the distribution system and determine the fate of AOP during transport in the distribution system, and (iii) elucidate the role of AOA in nitrification during drinking water treatment and in distribution systems.  相似文献   

3.
Summary Three laboratory-scale water pipe systems were set up to study the effects of adding two levels of acetic acid (10 and 50 μg acetate eq-C l−1) on the bacterial regrowth in water pipes. The results of the water pipe test showed that nearly all carbon in the acetic acid could be readily utilized by bacteria and resulted in an increase in biomass concentration. The maximum heterotrophic plate counts in biofilm were equal to 3.5 × 104, 8.9 × 105 and 2.9 × 107 c.f.u. cm−2 while the maximum heterotrophic plate counts of free bacteria were equal to 1.2 × 103, 5.0 × 103 and 6.8 × 104 c.f.u. ml−1 for the blank and with addition of 10 and 50 μg acetate eq-C l−1. These results showed that addition of acetic acid to drinking water has a positive effect on the assimilable organic carbon content of drinking water and bacterial regrowth in the distribution system. This effect is enhanced with addition of high-level acetic acid. Batch tests were also conducted using water samples collected from a Taiwanese drinking water distribution system. The bacterial regrowth potentials of the blank were equal to 4.3 × 103, 1.5 × 104, 4.9 × 104 and 7.5 × 104 c.f.u. ml−1 for water samples collected from treatment plant effluent, commercial area, mixed area, and residential area, respectively. These results showed that the biological stability of drinking water is the highest in treatment plant effluent, followed by distributed water of the commercial area, distributed water of the mixed area, and then the distributed water of residential area.  相似文献   

4.
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饮用水中5种致病菌多重PCR技术检测研究   总被引:15,自引:0,他引:15  
沙门氏菌(Salmonella sp.)、志贺氏菌(Shigella sp.)、绿脓杆菌(Pseudonmnas aeruginosa)、肠出血型大肠杆菌O157(Eterohaemorrhagic O157)和副溶血弧菌(Vibrio rahaemolyticus)是5种饮用水中不得检出食源性致病菌,根据它们的毒素基因、高度保守基因及特异性基因,设计合成5对寡核苷酸引物,应用PCR技术对10个属的30株细菌进行引物特异性检测。通过对多重PCR反应体系、条件进行优化,显提高了检测灵敏度。初步应用于水样分析中,极大的缩短了检测时间、降低了成本。实验结果表明:5对寡核苷酸引物都具较高的特异性和专一性,多重PCR检测灵敏度达到10^1~10^2cfu,检测需5~6h,在水样检测的初步应用中得到了均一、稳定、清晰的结果,可推广应用于环境监测、水源检测、食品卫生监督、商品检验检疫等领域。  相似文献   

7.
A second-generation solar disinfection (SODIS) system (pouch) was constructed from food-grade, commercially available packaging materials selected to fully transmit and amplify the antimicrobial properties of sunlight. Depending upon the season, water source, and challenge organism, culturable bacteria were reduced between 3.5 and 5.5 log cycles. The system was also capable of reducing the background presumptive coliform population in nonsterile river water below the level of detection. Similar experiments conducted with a model virus, the F-specific RNA bacteriophage MS2, indicated that the pouch was slightly less efficient, reducing viable plaques by 3.5 log units in comparison to a 5.0 log reduction of enterotoxigenic Escherichia coli O18:H11 within the same time period. These results suggest that water of poor microbiological quality can be improved by using a freely available resource (sunlight) and a specifically designed plastic pouch constructed of food-grade packaging materials.  相似文献   

8.
Chloramination is often the disinfection regimen of choice for extended drinking water systems. However, this process is prone to instability due to the growth of nitrifying bacteria. This is the first study to use alternative approaches for rapid investigation of chloraminated drinking water system instability in which flow cytometric cell sorting of bacteria with intact membranes (membrane-intact fraction) (BacLight kit) or with active esterases (esterase-active fraction) (carboxyfluorescein diacetate) was combined with 16S rRNA gene-directed PCR and denaturing gradient gel electrophoresis (DGGE). No active bacteria were detected when water left the water treatment plant (WTP), but 12 km downstream the chloramine residual had diminished and the level of active bacteria in the bulk water had increased to more than 1 × 105 bacteria ml−1. The bacterial diversity in the system was represented by six major DGGE bands for the membrane-intact fraction and 10 major DGGE bands for the esterase-active fraction. PCR targeting of the 16S rRNA gene of chemolithotrophic ammonia-oxidizing bacteria (AOB) and subsequent DGGE and DNA sequence analysis revealed the presence of an active Nitrosospira-related species and Nitrosomonas cryotolerans in the system, but no AOB were detected in the associated WTP. The abundance of active AOB was then determined by quantitative real-time PCR (qPCR) targeting the amoA gene; 3.43 × 103 active AOB ml−1 were detected in the membrane-intact fraction, and 1.40 × 104 active AOB ml−1 were detected in the esterase-active fraction. These values were several orders of magnitude greater than the 2.5 AOB ml−1 detected using a routine liquid most-probable-number assay. Culture-independent techniques described here, in combination with existing chemical indicators, should allow the water industry to obtain more comprehensive data with which to make informed decisions regarding remedial action that may be required either prior to or during an instability event.  相似文献   

9.
Intergeneric coaggregation of drinking water bacteria was tested. Acinetobacter calcoaceticus was found not only to autoaggregate but also to coaggregate with four of the five other isolates (Burkholderia cepacia, Methylobacterium sp., Mycobacterium mucogenicum, Sphingomonas capsulata, and Staphylococcus sp.). In its absence, no coaggregation was found. Interactions were lectin-saccharide mediated. The putative bridging function of A. calcoaceticus was evidenced by multispecies biofilm studies, through a strain exclusion process.  相似文献   

10.
The impact of preozonation and filter contact time (depth) on microbial communities was examined in drinking water biofilters treating Ohio River water which had undergone conventional treatment (coagulation, flocculation, sedimentation) or solutions of natural organic matter isolated from groundwater (both ozonated and nonozonated). With respect to filter depth, compared to filters treating nonozonated waters, preozonation of treated water led to greater differences in community phospholipid fatty acid (PLFA) profiles, utilization of sole carbon sources (Biolog), and arbitrarily primed PCR fingerprints. PLFA profiles indicated that there was a shift toward anaerobic bacteria in the communities found in the filter treating ozonated water compared to the communities found in the filter treating nonozonated settled water, which had a greater abundance of eukaryotic markers.  相似文献   

11.
S ummary . An arbitrary parameter 'rejection time', i.e. the time required for a fungal inoculum to form a 2 mm diam. colony, was used to express the shelf life of jam after unsealing and exposure of the contents to airborne contamination. Individual and combined effects of water activity ( aw ), pH value and temperature on rejection time of low sugar jam were estimated from the radial growth on agar of colonies of 9 fungi. The decreases in aw (0·94–0·90) and temperature (25–15°) practicable for low sugar jam were more effective in increasing rejection time than the feasible decrease in pH value (3·7–2·9). The interaction between aw and temperature was significant. The effect of the changes in aw , temperature and pH on rejection time was broadly similar for media adjusted by either sucrose or glycerol. At a given aw , moulds were slightly more tolerant of glycerol than sucrose but yeasts, except for the osmophile Saccharomyces rouxii , were markedly more tolerant of glycerol than sucrose.  相似文献   

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The occurrence and spread of antibiotic-resistant bacteria (ARB) are pressing public health problems worldwide, and aquatic ecosystems are a recognized reservoir for ARB. We used culture-dependent methods and quantitative molecular techniques to detect and quantify ARB and antibiotic resistance genes (ARGs) in source waters, drinking water treatment plants, and tap water from several cities in Michigan and Ohio. We found ARGs and heterotrophic ARB in all finished water and tap water tested, although the amounts were small. The quantities of most ARGs were greater in tap water than in finished water and source water. In general, the levels of bacteria were higher in source water than in tap water, and the levels of ARB were higher in tap water than in finished water, indicating that there was regrowth of bacteria in drinking water distribution systems. Elevated resistance to some antibiotics was observed during water treatment and in tap water. Water treatment might increase the antibiotic resistance of surviving bacteria, and water distribution systems may serve as an important reservoir for the spread of antibiotic resistance to opportunistic pathogens.The occurrence and spread of antibiotic-resistant bacteria (ARB) are pressing public health problems worldwide, and aquatic ecosystems are a recognized reservoir for ARB and antibiotic resistance genes (ARGs) (4, 6, 8, 11, 12, 15, 39). Naturally occurring ARB and ARGs in the aquatic environment are selected for and enriched for by antibiotics found in sewage and agricultural runoff, which result from the widespread and increased use of antibiotics (4, 11, 12, 15, 38). Historically, concerns about the microbial quality of drinking water have focused on the occurrence of pathogens in drinking water distribution systems (5, 34). However, the presence of trace levels of antibiotics and ARB in source water and finished drinking water may also greatly affect public health and is an emerging issue for the general public and the drinking water industry (3, 30). Although several studies have detected ARB in drinking water systems (2, 3, 20, 30, 38), most previous studies focused on cultivable bacteria and/or indicator organisms. Little is known about the fate of ARGs in drinking water systems, and it was recently proposed that ARGs are emerging contaminants (24).We used culture-dependent methods and molecular techniques to investigate the prevalence and dynamics of heterotrophic ARB and ARGs in a drinking water source (source RW-P) and treated drinking water (source DW-P) (see Materials and Methods in the supplemental material). We tested water from a drinking water plant located in Michigan and tap water from several small cities located in Michigan and Ohio (sources TW-1, TW-2, TW-3, and TW-4). Two independent samples were collected each time at each collection site at three different times, and we used four replicates from each sample for tests. We tested bacterial resistance to the following antibiotics: amoxicillin (amoxicilline), chloramphenicol, ciprofloxacin, gentamicin, rifampin (rifampicin), sulfisoxazole, and tetracycline. We also examined the presence of eight ARGs, including beta-lactam resistance genes (blaTEM and blaSHV), chloramphenicol resistance genes (cat and cmr), sulfonamide resistance genes (sulI and sulII), and tetracycline resistance genes (tetO and tetW).Total heterotrophic plate counts (HPC) were determined using R2A agar without added antibiotics. The water treatment process reduced the total HPC from 9.9 × 106 CFU/100 ml in source water to 68 CFU/100 ml in treated drinking water, indicating that there was efficient removal and/or deactivation of total HPC (Table (Table1).1). In contrast, the total 16S rRNA gene copy number decreased from 3.4 × 107 copies/100 ml in source water to 1.6 × 106 copies/100 ml in treated drinking water (Fig. (Fig.1).1). The discrepancy between the reduction in the HPC and the reduction in the total 16S rRNA gene copy number suggests that the final disinfection step effectively inactivated bacteria but most of the dead or damaged cells were still present in finished drinking water. The number of HPC in tap water ranged from 3.44 × 102 to 6.1 × 104 CFU/100 ml water, values that are lower than those for source water but significantly higher than those for treated drinking water, indicating that there is regrowth of bacteria in drinking water distribution systems. The copy numbers of total 16S rRNA genes in tap water ranged from 2.45 × 105 to 1.02 × 107 copies/100 ml water. The higher levels suggested by the 16S rRNA data are consistent with results of previous studies demonstrating that only 5 to 10% and 1% of bacteria in wastewater and soil, respectively, can be cultivated or identified by culture-based methods (9, 37). A significant correlation (P < 0.05, R2 = 0.78) was found between the 16S rRNA gene copy number and the total HPC if treated drinking water (DW-P) data were not included (Fig. (Fig.1).1). This suggests that cultivable bacteria in drinking water represent only a small portion of the total bacterial biomass. Including treated drinking water (DW-P) data resulted in a distorted correlation, suggesting that a large proportion of the 16S rRNA genes present came from dead and/or damaged cells. The levels of total heterotrophic bacteria were significantly higher in tap water (TW-1) than in treated drinking water (DW-P), indicating that there was bacterial regrowth in the water distribution system.Open in a separate windowFIG. 1.Heterotrophic bacteria and the 16S rRNA gene in different water samples. (A) Copy numbers of the 16S rRNA gene and numbers of heterotrophic bacteria (CFU) in 100 ml water. (B) Correlation (P < 0.05, R2 = 0.78) between the copy number of the 16S rRNA gene and the number of heterotrophic bacteria in different water samples (without the data for DW-P). RW-P, source water from the drinking water treatment plant; DW-P, finished drinking water from the drinking water treatment plant; TW-1, tap water from the city where the drinking water treatment plant is located; TW-2, TW-3, and TW-4, tap water from three towns in Michigan and Ohio close to the city where the TW-1 drinking water treatment plant is located. The statistical analysis was done using six samples for each type of water sample. Lg, log10.

TABLE 1.

Prevalence of ARB HPC in source water, finished drinking water, and tap water from four townsa
SamplebTotal HPC (CFU/100 ml)% of total HPC resistant to:
AmoxicillinCiprofloxacinChloramphenicolGentamicinRifampinSulfisoxazoleTetracycline
RW-P1.19 × 10611.67 ± 4.3911.60 ± 5.924.17 ± 1.9314.42 ± 5.5210.85 ± 3.577.46 ± 3.871.66 ± 0.80
DW-P6839.55 ± 9.79c4.77 ± 4.7119.45 ± 5.60c21.96 ± 14.4347.98 ± 17.99c1.17 ± 1.14c1.50 ± 1.24
TW-11.6 × 10415.22 ± 2.73d9.99 ± 4.7613.96 ± 3.70c13.40 ± 1.7362.00 ± 8.96c3.34 ± 1.213.78 ± 0.93c,d
TW-26.04 × 1043.02 ± 0.1913.14 ± 0.485.49 ± 0.474.67 ± 0.2128.10 ± 1.727.85 ± 0.670.08 ± 0.01
TW-33.44 × 1024.07 ± 0.170.18 ± 0.070.75 ± 0.392.18 ± 0.6282.15 ± 1.500.33 ± 0.030.98 ± 0.38
TW-42.46 × 10314.33 ± 1.740.18 ± 0.052.05 ± 0.049.76 ± 0.3414.23 ± 1.690.12 ± 0.0010.04 ± 0.002
Open in a separate windowaPrevalence was defined as the percentage of resistant HPC in the total HPC. The statistical analysis was done using six samples for each type and four technical replicates for each sample.bRW-P, source water from the drinking water treatment plant; DW-P, finished drinking water from the drinking water treatment plant; TW-1, tap water from the city where the drinking water treatment plant is located; TW-2, TW-3, and TW-4, tap water from three towns in Michigan and Ohio close to the city where the TW-1 drinking water treatment plant is located.cSignificantly different from RW-P.dSignificantly different from DW-P.The prevalence of HPC resistant to antibiotics was determined using R2A agar containing amoxicillin (4 mg/liter), chloramphenicol (16 mg/liter), ciprofloxacin (2 mg/liter), gentamicin (8 mg/liter), rifampin (2 mg/liter), sulfisoxazole (256 mg/liter), or tetracycline (8 mg/liter). Some groups of heterotrophic bacteria were resistant to all of the antibiotics at the concentrations tested in all water samples (Table (Table1).1). In the source water, 14.4% of the HPC were resistant to gentamicin and 1.7% were resistant to tetracycline. The resistance of HPC to amoxicillin, chloramphenicol, and rifampin was significantly higher (P < 0.01) in treated drinking water than in source water, while the resistance to sulfisoxazole was significantly lower (P < 0.01). Compared to treated drinking water (DW-P), the resistance of HPC to tetracycline in tap water was significantly greater and the resistance to amoxicillin was significantly lower (P < 0.01). The resistance to chloramphenicol and rifampin remained higher than the resistance in source water. The prevalence of HPC antibiotic resistance in tap water samples collected from other cities varied, but the resistance of HPC to rifampin was particularly high in all tap water samples.A number of previous studies have reported that ARB are common in drinking water (2, 3, 19, 25, 33). We added to these studies by testing water both before and after treatment, as well as tap water. Although the bacterial concentration was effectively lower during water treatment, the prevalence of resistance to amoxicillin, rifampin, and chloramphenicol nevertheless increased significantly.Several studies have discovered that chlorine, an agent widely used for disinfection, selects for ARB (2, 3, 9, 16, 33, 37). Armstrong et al. (2, 3) found that there was a significant increase in the proportion of multidrug-resistant (MAR) bacteria following flash mixing with chlorine. Murray et al. (16) demonstrated that the proportion of bacteria resistant to ampicillin and cephalothin (cefalotin) in sewage increased significantly following chlorination, and they observed a significant increase in the proportion of MAR strains during chlorination in laboratory experiments. Other studies demonstrated that the susceptibility of ARB to a disinfectant and the susceptibility of antibiotic-susceptible bacteria to a disinfectant are similar (7, 28), indicating that disinfection does not select ARB but instead induces the development of antibiotic resistance. Armstrong et al. (2, 3) suggested that stress-tolerant bacteria selected by chlorination might be more antibiotic resistant, and one study found that suboptimal chlorine treatment of drinking water selected for MAR Pseudomonas aeruginosa (33).The mechanism of chlorine-induced antibiotic resistance in bacteria is unknown. It is possible that chlorine can increase expression of the multidrug efflux pumps, leading to resistance to disinfection by-products as well as antibiotics. The drinking water treatment plant that we sampled used monochloramine as a disinfectant. No previous study has reported the effects of monochlroamine disinfection on ARB, but our results suggest that monochlromaine disinfection may have an effect similar to that of chlorine disinfection.Real-time PCR was used to quantify ARGs (including cat, cmr, blaTEM, blaSHV, sulI, sulII, tetW, and tetO) in collected water samples. All ARGs tested were detected in all water samples, except for the tetO and tetW genes, which were detected only in source water (Fig. (Fig.2).2). The copy number of each ARG in 100 ml water was calculated and normalized to the copy number of the total 16S rRNA genes to determine the relative abundance of each ARG in the water samples. Compared to the copy number in finished water, the copy number of ARGs in tap water was significantly greater (P < 0.001), except for the blaSHV gene, whose copy number was not significantly different (P = 0.124); the tetO and tetW genes were not detected in the drinking water sample after treatment. In terms of the relative abundance of ARGs in bacterial populations, all ARG/16S rRNA gene ratios were less than −3 log. Compared to source water, treated drinking water had a higher abundance of the cat and blaSHV genes (P < 0.001) but a lower abundance of the sulI gene (P < 0.001) (Fig. (Fig.2).2). No significant difference in any other ARG was found. After distribution, no significant change was observed in any ARG, except that the abundance of the blaTEM gene was significantly increased (P < 0.01) compared with the abundance in treated drinking water (DW-P) or in tap water (TW-1) (Fig. (Fig.2).2). The ARGs were also present in tap water samples collected from other cities. The similarity of the abundance of ARGs in the different tap water samples is quite remarkable (Fig. (Fig.2).2). The relative abundance of all ARGs was similar to that in the TW-1 tap water sample, except that the relative abundance of sulII and blaSHV was lower in the TW-2 and TW-3 tap water samples (Fig. (Fig.22).Open in a separate windowFIG. 2.Quantities of ARGs in different water samples. The bars indicate the copy numbers of the resistance genes normalized to the 16S rRNA gene copy number, and the symbols indicate the absolute copy numbers of ARGs in 100 ml water. RW-P, source water from the drinking water treatment plant; DW-P, finished drinking water from the drinking water treatment plant; TW-1, tap water from the city where the drinking water treatment plant is located; TW-2, TW-3, and TW-4, tap water from three towns in Michigan and Ohio close to the city where the TW-1 drinking water treatment plant is located. The statistical analysis was done using six samples for each type of water sample. Lg, log10.The quantities of individual ARGs were not significantly correlated with either HPC counts or 16S rRNA genes (data not shown), indicating that the ARGs tested were not evenly distributed among the bacterial populations in the water samples. However, the overall trends in quantity were similar for some ARGs and ARB. For example, in source water, treated drinking water, and tap water (TW-1), the number of heterotrophic bacteria resistant to amoxicillin, chloramphenicol, and sulfisoxazole corresponded to the proportion of genes coding for resistance to these antibiotics (blaSHV, cat, and sulI, respectively).Bacteria may inherit resistance to some antibiotics or can develop resistance via spontaneous mutation or the acquisition of resistant genes (35). The acquisition of a resistant gene via horizontal gene transfer is the most common and easiest way for bacteria to develop antibiotic resistance both in the environment and in a host (26, 29). Many bacteria transmit ARGs, and these ARGs were recently proposed to be emerging contaminants because of their widespread occurrence in aquatic ecosystems (13, 21, 22, 24). Plasmid-mediated blaTEM and blaSHV are the most common genes coding beta-lactamases and “extended-spectrum” beta-lactamases, a major cause of resistance to beta-lactams, and they are increasingly being found in different settings worldwide (14, 23). The enzymes encoded by these genes confer unequivocal resistance to ampicillin, amoxicillin, ticarillin, and carbenicillin (32, 36). We detected blaTEM and blaSHV genes in all but one water sample, which is evidence that these genes are distributed widely in drinking water systems. The selective increases in the levels of both genes in tap water due to either water treatment or regrowth within drinking water distribution systems suggest that the spread of at least some beta-lactam-resistant determinants may occur through drinking water distribution systems.Both tetO and tetW are tetracycline resistance genes encoding ribosomal protection proteins. Both of these genes are common in intestinal and rumen environments (1, 31); thus, their presence may indicate fecal contamination (22). If the tetO and tetW genes truly represent the level of fecal contamination, our results show that drinking water treatment was effective for eliminating and controlling fecal contamination.The most frequent cause of bacterial resistance to chloramphenicol is enzymatic inactivation by acetylation of the drug via different types of chloramphenicol acetyltransferases encoded by cat genes (17), but other mechanisms, such as efflux systems, may also contribute to chloramphenicol resistance (18). The proportion of cat genes increased significantly following water treatment, suggesting that the drinking water treatment did not effectively remove or inactivate the chloramphenicol-resistant bacterial population. On the other hand, the cmr gene, an efflux pump gene related to chloramphenicol resistance, showed little variation in different water sources.Sulfonamides act as competitive inhibitors of the enzyme dihydropteroate synthase in the folic acid pathway of bacterial and some eukaryotic cells. sulI and sulII encode alternative sulfonamide-resistant dihydropteroate synthases in gram-negative clinical bacteria, and both genes commonly occur (often at roughly the same frequency) in sulfisoxazole-resistant gram-negative clinical isolates (10). The drinking water treatment process significantly decreased the abundance of the sulI gene but had no significant influence on the sulII gene.In summary, we found heterotrophic ARB and ARGs in all finished water and tap water tested, although the amounts were small. The size of the general population of bacteria followed the order source water > tap water > finished water, indicating that there was regrowth of bacteria in drinking water distribution systems; elevated resistance to some antibiotics was observed during water treatment and in tap water. We show that the quantities of most ARGs are greater in tap water than in finished water and source water. The increased levels of ARGs and specialized groups of ARB in tap water compared to finished water and source water suggest that water treatment could increase the antibiotic resistance of surviving bacteria and/or induce transfer of ARGs among certain bacterial populations. Water distribution systems could serve as an incubator for growth of certain ARB populations and as an important reservoir for the spread of antibiotic resistance to opportunistic pathogens. Drinking water treatment processes and distribution systems can impact the spread of antibiotic resistance. Rusin et al. (27) estimated that the risk of infection by bacteria in drinking water was as low as 7.3 per billion people for exposure to low levels of Aeromonas and as high as 98 per 100 patients receiving antibiotic treatment exposed to high levels of Pseudomonas (27). Whether exposure to ARB results in an increased risk to the general public, particularly individuals with compromised immune systems, the very young, the very old, or individuals with chronic conditions, is not known and deserves further study. Future research should identify factors accounting for the selective increase in antibiotic resistance and develop new methods and approaches to reduce accumulation of such resistance.  相似文献   

14.
Shortage of freshwater is a serious problem in many regions worldwide, and is expected to become even more urgent over the next decades as a result of increased demand for food production and adverse effects of climate change. Vast water resources in the oceans can only be tapped into if sustainable, energy-efficient technologies for desalination are developed. Energization of desalination by sunlight through photosynthetic organisms offers a potential opportunity to exploit biological processes for this purpose. Cyanobacterial cultures in particular can generate a large biomass in brackish and seawater, thereby forming a low-salt reservoir within the saline water. The latter could be used as an ion exchanger through manipulation of transport proteins in the cell membrane. In this article, we use the example of biodesalination as a vehicle to review the availability of tools and methods for the exploitation of cyanobacteria in water biotechnology. Issues discussed relate to strain selection, environmental factors, genetic manipulation, ion transport, cell-water separation, process design, safety, and public acceptance.Bacteria are commonly employed for the purification of municipal and industrial wastewater but until now, established water treatment technologies have not taken advantage of photosynthetic bacteria (i.e. cyanobacteria). The ability of cyanobacterial cultures to grow at high cell densities with minimal nutritional requirements (e.g. sunlight, carbon dioxide, and minerals) opens up many future avenues for sustainable water treatment applications.Water security is an urgent global issue, especially because many regions of the world are experiencing, or are predicted to experience, water shortage conditions: More than one in six people globally are water stressed, in that they do not have access to safe drinking water (United Nations, 2006). Ninety-seven percent of the Earth’s water is in the oceans; consequently, there are many efforts to develop efficient methods for converting saltwater into freshwater. Various processes using synthetic membranes, such as reverse osmosis, are successfully used for large-scale desalination. However, the high energy consumption of these technologies has limited their application predominantly to countries with both relatively limited freshwater resources and high availability of energy, for example, in the form of oil reserves.The development of an innovative, low-energy biological desalination process, using biological membranes of cyanobacteria, would thus be both attractive and pertinent. The core of the proposed biodesalination process (Fig. 1) is a low-salt biological reservoir within seawater that can serve as an ion exchanger. Its development can be separated into several complementary steps. The first step comprises the selection of a cyanobacterial strain that can be grown to high cell densities in seawater with minimal requirement for energy sources other than those that are naturally available. The environmental conditions during growth can be manipulated to enhance natural extrusion of sodium (Na+) by cyanobacteria. In the second step, cyanobacterial ion transport mechanisms must be manipulated to generate cells in which sodium export is replaced with intracellular sodium accumulation. This will involve inhibition of endogenous Na+ export and expression of synthetic molecular units that facilitate light-driven sodium flux into the cells. A robust control system built from biological switches will be required to achieve precisely timed expression of the salt-accumulating molecular units. The third step consists of engineering efficient separation of the cyanobacterial cells from the desalinated water, using knowledge of physicochemical properties of the cell surface and their natural ability to produce extracellular polymeric substances (EPSs), which aid cell separation while preserving cell integrity. The fourth step integrates the first three steps into a manageable and scalable engineering process. The fifth and final step assesses potential risks and public acceptance issues linked to the new technology.Open in a separate windowFigure 1.Proposed usage of cyanobacterial cultures for water treatment. A, Hypothetical water treatment station. Situated in basins next to the water source, sun-powered cell cultures remove unwanted elements from the water. The clean water is separated from the cells for human uses. The produced biomass is available for other industries. The proposed biodesalination process is based on the following steps. B, Photoautotrophic cells divide to generate high-density cultures. C, The combined cell volume is low in salt as a result of transport proteins in the cell membrane that export sodium using photosynthetically generated energy. D, Through environmental and genetic manipulation, salt export is inhibited and replaced with transport modules that accumulate salt inside the cells. This process is again fueled by light energy. E, Manipulation of cell surface properties separates the salt-enriched cells from the desalinated water.In this review, we outline the state of knowledge and available technology for each of the steps, as well as summarize the current knowledge gaps and technical limitations in employing a large-scale water treatment process using cyanobacteria. Before discussing these issues, we provide some background information on the usage of cyanobacteria in biotechnology and the impact of sodium on cellular functions of cyanobacteria. The example of biodesalination provides a good vehicle to discuss the suitability of photosynthetic bacteria for water treatment more generally. The issues addressed in this review are relevant for a wide range of biotechnological applications of cyanobacteria, including bioremediation and biodegradation as well as the generation of biofuels, natural medicines, or cosmetics.  相似文献   

15.
Fifty bacterial strains able to grow at pH 10 and 0°C were isolated from soils, and growth characteristics of three selected strains were investigated. Strain 207, which showed the best growth rate of all the isolates at the conditions described above, could grow at a temperature of −5 to 39°C at pH 8.5. The optimum pH for this strain changed from 9.5 at 10°C to 9.0 at 20°C.  相似文献   

16.
17.
There is evidence that drinking water may be a source of infections with pathogenic nontuberculous mycobacteria (NTM) in humans. One method by which NTM are believed to enter drinking water distribution systems is by their intracellular colonization of protozoa. Our goal was to determine whether we could detect a reduction in the prevalence of NTM recovered from an unfiltered surface drinking water system after the addition of ozonation and filtration treatment and to characterize NTM isolates by using molecular methods. We sampled water from two initially unfiltered surface drinking water treatment plants over a 29-month period. One plant received the addition of filtration and ozonation after 6 months of sampling. Sample sites included those at treatment plant effluents, distributed water, and cold water taps (point-of-use [POU] sites) in public or commercial buildings located within each distribution system. NTM were recovered from 27% of the sites. POU sites yielded the majority of NTM, with >50% recovery despite the addition of ozonation and filtration. Closely related electrophoretic groups of Mycobacterium avium were found to persist at POU sites for up to 26 months. Water collected from POU cold water outlets was persistently colonized with NTM despite the addition of ozonation and filtration to a drinking water system. This suggests that cold water POU outlets need to be considered as a potential source of chronic human exposure to NTM.  相似文献   

18.
In this study, we determined the effects of incubation temperature and prior heat treatment on the lag-phase kinetics of individual spores of nonproteolytic Clostridium botulinum Eklund 17B. The times to germination (tgerm), one mature cell (tC1), and two mature cells (tC2) were measured for individual unheated spores incubated at 8, 10, 15, or 22°C and used to calculate the tgerm, the outgrowth time (tC1tgerm), and the first doubling time (tC2tC1). Measurements were also made at 22°C of spores that had previously been heated at 80°C for 20 s. For unheated spores, outgrowth made a greater contribution to the duration and variability of the lag phase than germination. Decreasing incubation temperature affected germination less than outgrowth; thus, the proportion of lag associated with germination was less at lower incubation temperatures. Heat treatment at 80°C for 20 s increased the median germination time of surviving spores 16-fold and greatly increased the variability of spore germination times. The shape of the lag-time (tC1) and outgrowth (tC1tgerm) distributions were the same for unheated spores, but heat treatment altered the shape of the lag-time distribution, so it was no longer homogeneous with the outgrowth distribution. Although heat treatment mainly extended germination, there is also evidence of damage to systems required for outgrowth. However, this damage was quickly repaired and was not evident by the time the cells started to double. The results presented here combined with previous findings show that the stage of lag most affected, and the extent of any effect in terms of duration or variability, differs with both historical treatment and the growth conditions.Clostridium botulinum is a group of four physiologically and phylogenetically distinct anaerobic spore-forming bacteria (known as groups I, II, III, and IV) that produce the highly toxic botulinum neurotoxin (12). The severity of the intoxication, botulism, ensures considerable effort is directed at preventing the growth of this pathogen in food. Nonproteolytic (group II) C. botulinum is one of the two groups most frequently associated with food-borne botulism. It forms heat-resistant spores and can germinate, grow, and produce toxin at 3°C (8); thus, nonproteolytic C. botulinum is a particular concern in mild heat-treated chilled foods (16, 17).Spores formed by pathogens such as C. botulinum are a significant food safety issue since they are able to resist many of the processes, such as cooking, used to kill vegetative cells. Understanding the transformation from a dormant spore to active vegetative cells is an important part of quantifying the risk associated with such organisms. Considerable effort has been targeted at measuring and relating the kinetic responses of populations of C. botulinum to environmental conditions and such data have been used to create predictive models, for example, ComBase (www.combase.cc). Such approaches have made a considerable contribution to ensuring food safety but problems with using population based predictions may arise when an initial inoculum is very small or additional information beyond point values is required. Spores typically contaminate foods at low concentrations so that growth of C. botulinum, when it occurs, is likely to initiate from just a few spores. In these circumstances the distribution of times to growth in packs will reflect the heterogeneity of times to growth from the contaminating individual spores. There is an intrinsic variability between individual spores within a population, and the relationship between population lag and individual lag is complex. Consequently, individual lag times cannot be predicted from population measurements (3). Knowledge of the underlying distribution would allow greater refinement of risk assessments.The lag period between a spore being exposed to conditions suitable for growth and the start of exponential growth will reflect the combined times of germination, emergence, elongation, and first cell division. Currently, very little is known about the variability and duration of these stages and any relationships between them. Measuring the kinetics of spore germination is usually achieved by measuring a population to identify time to percent completion. Such germination curves represent the summation of responses by individual spores. Some authors have measured the biovariability associated with individual spores, but most studies have examined only germination (4-7, 11, 22) and not subsequent outgrowth. More recently, we have used phase-contrast microscopy and image analysis to follow individual spores of nonproteolytic C. botulinum from dormancy, through germination and emergence, to cell division (21, 23). These experiments showed there is very little, or no, relationship between the time spent in each stage by individual spores. We have now extended this work to determine distributions of times for different stages in lag phase as affected by heat treatment and incubation temperature.  相似文献   

19.

Background

Current guidelines recommend the use of Escherichia coli (EC) or thermotolerant (“fecal”) coliforms (FC) as indicators of fecal contamination in drinking water. Despite their broad use as measures of water quality, there remains limited evidence for an association between EC or FC and diarrheal illness: a previous review found no evidence for a link between diarrhea and these indicators in household drinking water.

Objectives

We conducted a systematic review and meta-analysis to update the results of the previous review with newly available evidence, to explore differences between EC and FC indicators, and to assess the quality of available evidence.

Methods

We searched major databases using broad terms for household water quality and diarrhea. We extracted study characteristics and relative risks (RR) from relevant studies. We pooled RRs using random effects models with inverse variance weighting, and used standard methods to evaluate heterogeneity and publication bias.

Results

We identified 20 relevant studies; 14 studies provided extractable results for meta-analysis. When combining all studies, we found no association between EC or FC and diarrhea (RR 1.26 [95% CI: 0.98, 1.63]). When analyzing EC and FC separately, we found evidence for an association between diarrhea and EC (RR: 1.54 [95% CI: 1.37, 1.74]) but not FC (RR: 1.07 [95% CI: 0.79, 1.45]). Across all studies, we identified several elements of study design and reporting (e.g., timing of outcome and exposure measurement, accounting for correlated outcomes) that could be improved upon in future studies that evaluate the association between drinking water contamination and health.

Conclusions

Our findings, based on a review of the published literature, suggest that these two coliform groups have different associations with diarrhea in household drinking water. Our results support the use of EC as a fecal indicator in household drinking water.  相似文献   

20.

Background

Studies have examined whether there is a relationship between drinking water turbidity and gastrointestinal (GI) illness indicators, and results have varied possibly due to differences in methods and study settings.

Objectives

As part of a water security improvement project we conducted a retrospective analysis of the relationship between drinking water turbidity and GI illness in New York City (NYC) based on emergency department chief complaint syndromic data that are available in near-real-time.

Methods

We used a Poisson time-series model to estimate the relationship of turbidity measured at distribution system and source water sites to diarrhea emergency department (ED) visits in NYC during 2002-2009. The analysis assessed age groups and was stratified by season and adjusted for sub-seasonal temporal trends, year-to-year variation, ambient temperature, day-of-week, and holidays.

Results

Seasonal variation unrelated to turbidity dominated (~90% deviance) the variation of daily diarrhea ED visits, with an additional 0.4% deviance explained with turbidity. Small yet significant multi-day lagged associations were found between NYC turbidity and diarrhea ED visits in the spring only, with approximately 5% excess risk per inter-quartile-range of NYC turbidity peaking at a 6 day lag. This association was strongest among those aged 0-4 years and was explained by the variation in source water turbidity.

Conclusions

Integrated analysis of turbidity and syndromic surveillance data, as part of overall drinking water surveillance, may be useful for enhanced situational awareness of possible risk factors that can contribute to GI illness. Elucidating the causes of turbidity-GI illness associations including seasonal and regional variations would be necessary to further inform surveillance needs.  相似文献   

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