Municipal Water Quality Investigations Unit, Department of Water Resources, State of California, Sacramento, California 95814,1 Water Quality Assessment Field Support Unit, Department of Water Resources, State of California, West Sacramento, California 956052
Received 22 March 2002/ Accepted 30 August 2002
| ABSTRACT |
|---|
|
|
|---|
| INTRODUCTION |
|---|
|
|
|---|
The occurrence of numerous waterborne outbreaks with these parasites prompted the U.S. Environmental Protection Agency (EPA) to take a number of actions, including collection of data through the Information Collection Rule (ICR) and Information Collection Rule Supplemental Survey (ICRSS), as well as defining a protocol for developing pathogen total maximum daily loads (TMDL) (10). One step in establishing a TMDL is source assessment of the targeted pollutant, which involves determining the magnitude and location of the pollutant's origin.
The State of California's Department of Water Resources (DWR) initiated studies of pathogen source water contamination because the department operates and maintains the California State Water Project (SWP), which receives water from the Sacramento-San Joaquin Delta and its tributaries. Since SWP and Delta source waters originate over a large geographical area and winter turbidities can range from 2 to 350 nephelometric turbidity units (NTU), any method examining occurrence and concentration of Cryptosporidium and Giardia organisms must perform consistently over a wide range of environmental conditions. The current Cryptosporidium and Giardia detection method used in the United States, EPA method 1623 (9), is a considerable improvement over the previously used ICR methodology (1, 3, 5); however, relatively few studies have examined recoveries by this method at environmentally realistic concentrations of organisms (for example, 10 organisms/liter or lower) and at turbidity levels commonly found in the SWP or its major tributary rivers (3, 6).
The objectives of the study were twofold. First, we tested the relative capacities of the Gelman Envirochek standard and high-volume (HV) capsule filters. For an analyte that exhibits a nonhomogeneous distribution, sensitivity is linked to the volume of water filtered. Although marketed for filtration of large volumes of finished water, the HV filter could provide an advantage over the standard filter if it could filter larger volumes of turbid ambient waters without clogging. Second, we examined the recovery of Cryptosporidium and Giardia in ambient waters at environmentally low concentrations by using method 1623.
| MATERIALS AND METHODS |
|---|
|
|
|---|
All filtration capacity samples were processed in the field by using the 1999 version of method 1623 (8). The component order in the filtration assembly followed EPA guidelines except that the flow controller was located after the pump. Three replicate filters per filter type (Gelman Envirochek and Envirochek HV sampling capsules) per source were used. Method recovery experiments using the 1999 version of method 1623 (8) were conducted at DWR's Municipal Water Quality Investigations field unit facility in West Sacramento, Calif. For each matrix spike experiment, approximately 132 liters of ambient water was collected at a site and transported on ice in 20-liter polyethylene carboys to the field unit facility. Subsamples were pooled into a clean, 208-liter polyethylene tank and allowed to reach ambient temperature. Water was thoroughly homogenized immediately before a 10-liter subsample was withdrawn for matrix spiking. Three replicate filters and one background control filter were used for each water and filter type. The background sample was filtered prior to the spiked triplicate samples. For spiked waters, the volume filtered was equal to the volume filtered through the appropriate background filter.
Both spiked and unspiked ambient samples were mixed for 10 min. If the ambient water was to be spiked with Cryptosporidium and Giardia, the spiking solution was vortexed for approximately 1 min and poured into the mixing 10-liter sample. Filter preparation was similar to that in the filtration capacity study except that Teflon-lined polyethylene tubing was used. During filtration, the 10-liter sample was mixed continuously.
Samples were sent on ice to Clancy Environmental Consultants, Inc. All laboratory analyses were completed within 72 h of sample spiking. Method 1623 standard procedures were followed with the exception that a packed pellet volume of up to 1 ml was subjected to a single immunomagnetic separation (IMS) step (2). In samples from the Sacramento River, the high turbidities produced a packed pellet volume that exceeded 1 ml. In this case, two subsamples, each equivalent to 1 ml of packed pellets, were subjected to individual IMS analyses. The manufacturer's instructions were followed for elution of the HV filters.
The Wisconsin State Laboratory of Hygiene provided Cryptosporidium and Giardia spiking suspensions. Cryptosporidium parvum spikes were prepared with the Iowa isolate, while spiking suspensions of Giardia intestinalis were prepared with the CH3 strain. Oocysts were obtained from the Sterling Parasitology Laboratory at the University of Arizona, Tucson. Cysts were obtained from Waterborne, Inc., New Orleans, La. Cryptosporidium oocysts were between 20 and 60 days old, and Giardia cysts were between 5 and 11 days old. Spike sample storage, preparation, enumeration, and quality assurance/quality control (QA/QC) were identical to those of EPA validation studies (11). For all experiments, spiking solutions contained an average of 100 (oo)cysts/10 liters. In all cases, the relative standard deviation of the spike mean was less than 3% (n = 10 or 12). Spiking solutions were used within 24 h after enumeration.
Percent recoveries were calculated by subtracting the number of organisms counted in the unspiked sample from the total number of organisms recovered from the spiked sample and then dividing this difference by the total number of oocysts spiked. Final values were multiplied by 100 to yield percent recoveries. Differences in filtration capacities and recoveries between sites were calculated by using either a t test or one-way analysis of variance (ANOVA). All parametric assumptions were checked prior to analysis.
| RESULTS |
|---|
|
|
|---|
|
In all waters tested, oocyst recovery with the HV filter was equivalent to or better than recovery with the standard filter (Table 2). In low-turbidity water (11 NTU), oocyst recoveries were significantly higher with the HV filter (arcsine transform, P = 0.014). No significant differences were observed between cyst recoveries (arcsine transform, P = 0.18). In a second recovery trial using high-turbidity waters (99 NTU), oocyst recoveries between the two filters were not significantly different (arcsine transform, P = 0.77). Giardia recoveries were <1%. Based on filter capacity and recovery comparisons, the remaining matrix spike recovery experiments were conducted with HV filters.
|
|
Filtration capacity experiments suggested that the matrix of the source water affected filtration capacity, but regression analysis of log-transformed data concerning turbidity versus oocyst recovery showed little predictive value (r2 = 0.16) and the null hypothesis of zero slope could not be rejected (P = 0.29). For Giardia, turbidity was able to explain approximately 80% of the variability associated with recovery (r2 = 0.80) while the slope of the line was significantly different from a slope of zero (P = 0.001).
| DISCUSSION |
|---|
|
|
|---|
In this study, filter capacity was affected by relatively small changes in turbidity. Since turbidity instrumentation makes no distinction between the types or sizes of particles, sites with relatively minor differences in turbidity can produce relatively large changes in filtration capacity.
In the published literature, only the EPA's ICRSS has examined the method's performance over a wide range of turbidities while also using low organism spiking concentrations (3). Our study's overall recovery of 54% for oocyst matrix spike experiments was slightly higher than the 43% spiked recoveries obtained in the ICRSS, but our spiked cyst recoveries were considerably lower than the spiked source water recoveries in the ICRSS (25 versus 53%, respectively). One explanation for these divergent results may be the initial condition of the cysts used. In some cases, the quality of the Giardia cysts was poor; therefore, some cysts may have degraded during the sampling and handling process. In addition, the ICRSS study used cysts from the CDC:0284:1 strain obtained from EPA's Office of Research and Development. Our study used cysts from the CH3 strain.
Recoveries of 50% or less occurred in low- and high-turbidity waters, suggesting that the nature of the turbidity or the background matrix of the water was as important to recovery as was an absolute NTU value. In the case of oocyst recoveries, turbidity was unable to account for recovery differences between sites, while for cyst recoveries, turbidity could explain intersite differences. This dichotomy is similar to findings from the ICRSS (7), although that survey found only a weak correlation between turbidity and Giardia cyst recovery.
The ICRSS and our studies highlight the statistical difficulties of using method 1623 for either routine monitoring or TMDL studies. If a method is unaffected by the water source, then regardless of location, recoveries of organisms spiked at the same concentrations should not be statistically different. If a methodology behaves differently with different water matrices, then resulting distributions cannot be assumed to be similar across sample sites, rendering commonly used parametric and nonparametric statistical comparisons invalid. One solution may be to examine the overlap of 95% confidence intervals between sites (Christopher Frebis, EPA, personal communication).
Periods of rainfall, when the greatest mobilization of (oo)cysts could occur, corresponded to periods when filtration capacity and the method were most compromised. In this study, under high rainfall conditions, only 7 of the 132 liters originally sampled from the river could be filtered through the HV filter. With a flow rate of 87,500 ft3/s at the time, the volume filtered represented approximately 1.9 x 10-7 percent of the river volume. Recently, the EPA published proposed filtration guidelines that allow filtration of up to 50 liters of ambient water (4); however, as demonstrated in this study, filtering even 10 liters of turbid ambient water may be problematic. Increasing the sampling frequency can be critical to capturing a clumped distribution. It is likely that our one sample collected during a storm event was inadequate to characterize a clumped distribution, but the high cost of the method limited the number of samples collected.
Increasing sample size to offset method variability may be of little value with some waters. In an ongoing study at Barker Slough, laboratory recovery and precision of reagent-spiked water consistently fall within the EPA's QA/QC and coefficient of variation method guidelines, yet average recoveries of matrix spikes from Barker Slough are 15% with a coefficient of variation of 135% (n = 9). Monitoring and TMDL studies may face similar situations in their own watersheds, making it imperative to understand the nature of the confounding matrix on the method. Chelation between the slough's high levels of organic carbon (up to 38 mg/liter) and iron is one possible matrix effect interfering with the IMS portion of the method.
In conclusion, the data presented in this study suggest that the HV capsule filter may be a better choice for natural-water sampling programs, although the composition of the turbidity may still preclude filtration of 10 liters. Method 1623 is an improvement over the earlier ICR method, but our data suggest that matrix interference from the waters tested can compromise the method's accuracy and precision. Furthermore, increasing the number of replicates may be cost prohibitive and of little use. Statistical comparisons must also be approached with caution because of the problems matrix interference causes with the method. Regardless of the method used, the patchy distribution of the target organism must be accounted for to create a meaningful study design. This is a significant hurdle in its own right, and sampling designs to overcome this built-in environmental handicap need to be investigated fully.
| ACKNOWLEDGMENTS |
|---|
We thank Rick Jones of Pall Gelman Life Sciences for providing the standard and HV filters. We also thank Zia Bukhari of American Water Works Service Company and Kevin Connell of DynCorp I&ET for their review and comments on this paper and the state of the science in general. We also thank Bruce Agee, Fengmao Guo, Sid Fong, Murage Ngatia, Bill Nickels, Jim Sickman, and Marilee Talley, all of DWR, for helpful comments, discussion, and editing; Jeff Janik of DWR for the use of Barker Slough's long-term data set; Becky Hoffman of the Wisconsin State Laboratory of Hygiene for providing organisms; and Christopher Frebis and Michael Messner of the EPA and Ken Miller of DynCorp I&ET for statistical questions. Mary-Ann Fiege, Crystal Rodgers, and Heather Shank-Givens, also of the EPA, provided helpful comments during the investigation.
| FOOTNOTES |
|---|
| REFERENCES |
|---|
|
|
|---|
This article has been cited by other articles:
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| J. Bacteriol. | Microbiol. Mol. Biol. Rev. | Eukaryot. Cell | All ASM Journals |
|---|