Fully automated sequential injection analysis method for preconcentration of haloacetic acids in drinking water samples
09581578 ยท 2017-02-28
Inventors
Cpc classification
G01N33/184
PHYSICS
International classification
Abstract
The utilization of a specific preconcentration protocol within an automated, on-line drinking water analysis method to amplify detection levels of individual halo acetic acids is provided. The proposed sequential injection analysis procedures allow for measuring such levels in drinking water samples from remote locations with post-column reaction of ion chromatography (PCR-IC). The novel remote preconcentration method injects such known concentrations via a syringe at regular intervals in a manner to provide a baseline measurement that accords a reliable comparison with the unknown amounts present within the drinking water samples at issue. In such a manner, the on-line, remote system provides the necessary reliability for a water utility or like entity on which to base any further needed water treatment activities without having to perform such measurements in a distinct lab setting.
Claims
1. A fully automated method of analyzing drinking water samples in an on-line procedure and at a remote location along a drinking water supply line, said method including the identification and detection of concentration of haloacetic acid disinfection byproducts therein said drinking water sample, said method comprising: a) providing at least one drinking water sample stream that has been disinfected with chlorinated or chloraminated disinfectants; b) providing a sequential injection analysis module, wherein said module includes a solid phase extraction component, a chemical reagent pump, and a valve to permit separate delivery of water and chemical reagents to said solid phase extraction component, wherein said reagents include a solid phase extraction component conditioning reagent, an acidic reagent, and a basic reagent, and a separate drinking water sample stream and acid delivery pump to deliver acidified drinking water samples to said solid phase extraction component; c) providing a separate PCR-IC instrument including at least one ion exchange column, and a fluorescence detector; d) conditioning said solid phase extraction component through introduction therein with said solid phase extraction component conditioning reagent; e) feeding said drinking water sample stream through said drinking water sample stream delivery pump into said solid phase extraction component with said acidic reagent from said chemical reagent pump and through said valve, thereby removing at least some of the haloacetic acids from said drinking water stream and forming an acidified preconcentrate formulation including at least one haloacetic acid bound to said solid phase extraction component, wherein said acidic reagent produces a pH in a range from about 0.8 to 2; f) feeding said basic reagent through said solid phase extraction component to elute said acidified preconcentrate formulation of step e from said solid phase extraction component; g) feeding the eluted preconcentrate formulation of step f through said PCR-IC instrument, including through said anion exchange column to provide separated haloacetic acid species streams; h) mixing said separated haloacetic species streams from step g with a dilute base and a fluorescing compound to form separate fluorescing haloacetic acid species streams therein; and i) transporting said separate fluorescing haloacetic acid species streams of step h to said fluorescence detector to determine the concentration of total haloacetic acids within all such fluorescing haloacetic acid species streams through fluorescence detection.
2. An automated, on-line two-component analytical instrument including: a sequential injection analytical module for preconcentrating haloacetic acids from a liquid sample, said module having two separate pumps, a multi-port valve, an acid feeding source, a basic reagent feeding source, a water sample source, and a solid phase extraction device, wherein said valve is configured to deliver alternating streams of acid and water from each pump to said solid phase extraction device, wherein the acid fed by the acid feeding source produces a pH in a range from about 0.8 to 2; and a separate PCR-IC device, wherein said PCR-IC device receives said basic reagent and includes an anion exchange column for separating said at least one haloacetic acid into separate species, and a fluorescence detector.
3. The method of claim 1, wherein the basic reagent in step f and step g are the same.
4. The method of claim 1, further comprising introducing said basic reagent into said anion exchange column at a first rate of flow, maintaining said first rate of flow for a first period of time, and increasing said basic reagent flow into said anion exchange column to a second rate of flow and maintaining said second rate of flow for a second period of time.
5. The method of claim 1, wherein the pH range is between about 1.0 to 1.3.
6. The instrument of claim 2, wherein the pH range is between about 1.0 to 1.3.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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DESCRIPTION OF THE PREFERRED EMBODIMENTS AND DRAWINGS
(12) All the features of this invention and its preferred embodiments will be described in full detail in connection with the following illustrative, but not limiting, drawings and examples.
(13) Instrumentation and Initial Tests
(14) The SIA-PCR-IC instrument operates as two, semi-independent systems. The SIA module conducts all sample preparation, preconcentration, and elution of the HAAs from the LiChrolut EN cartridge into the sample loop on the PCR-IC injection valve. After injection, the PCR-IC system performs the separation of the HAA9 species, reaction with nicotinamide, and fluorescence detection (excitation 365 nm, emission 455 nm).
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(17) The purity of all chemicals used was higher than 97%, except for 85% reagent grade potassium hydroxide (KOH). All standards, reagents, and eluents were prepared in reagent grade water with a resistivity of 18.2 M.Math.cm (ThermoScientic Barnstead E-pure). Glassware was cleaned with concentrated detergent and rinsed thoroughly with reagent water. MCAA, MBAA, DCAA, BCAA, DBAA, TCAA, BDCAA, DBCAA, TBAA, and nicotinamide were obtained from Sigma-Aldrich. KOH, NaOH, sulfuric acid (H.sub.2SO.sub.4), methanol, methyl tert-butyl ether (MTBE), and 2-bromobutanoic acid (2-BBA) were obtained from Fisher Scientific.
(18) A 1000 mg L.sup.1 HAA9 stock standard solution was prepared by adding 25 mg of each HAA9 species to a 25.00 mL volumetric flask and diluting with MTBE. A 10 mg mL.sup.1 IS stock standard solution was prepared by diluting 0.100 g of 2-BBA to 10.00 mL of MTBE. These stock solutions were diluted accordingly with reagent water daily and subsequently used for optimization and calibration studies. The post-column reagents were prepared by dissolving 75.0 g nicotinamide in 140 mL reagent water for a total volume of 200 mL (3.07 M), and 25.5 g KOH dissolved in 200 mL reagent water (2.0 M). The reagent water used for eluent preparation was degassed using nitrogen; the 200 mM KOH eluent was prepared by dissolving 12.75 g in 1.0 L of degassed reagent water. The sulfuric acid preconcentration reagent was prepared by diluting concentrated H.sub.2SO.sub.4 sulfuric acid into reagent water as needed. A 1.0 M NaOH solution was prepared by weighing 40.0 g of NaOH into 1.00 L of reagent water and diluted appropriately to produce the various NaOH concentrations used in the optimization studies.
(19) These reagents were then utilized within the instruments outlined above and provided in greater detail below to determine haloacetic acid concentrations within disinfected water supplies along a sourcing line. Such potentially preferred embodiments of these methods are presented as follows:
(20) The SIA module (FIAlab Instruments, Bellevue, Wash., USA) (11 of
(21) The optimized preconcentration procedure used the syringe pump 14 to deliver reagents for the conditioning, rinsing, and elution steps while the peristaltic pump 20 was used for the loading step. A sample volume of 50 mL was loaded and eluted into exactly 2 mL (PCR-IC sample loop), giving a theoretical preconcentration factor of 25. Each of the steps in the preconcentration procedure was automated using the FIAlab SIA module and software. For the conditioning step, the selection valve was switched to port 3 (R1) and the syringe pump filled with methanol; the valve was then switched to port 1 (SPE) and the syringe pump dispensed 3 mL of methanol at 2 mL min.sup.1. Next, 50 mL of sample was acidified with 1.0 M H.sub.2SO.sub.4 to a pH 1.2 using two channels of the peristaltic pump, and flowed onto the SPE cartridge (this step can also be accomplished with two syringe pumps or any set of devices affects flow of liquid). The sample and H.sub.2SO.sub.4 were mixed at rates of 2.0 mL min.sup.1 and 0.5 mL min.sup.1, respectively. The stream selection valve was switched to port 7 (R3) and the syringe pump filled with reagent water. Then, the selection valve was switched to port 1 (SPE) and the syringe pump dispensed 1 mL at 2 mL min.sup.1 to rinse the SPE cartridge. Finally, the valve was switched to port 9 (R4) and the syringe pump filled with 10 mM NaOH. The valve then switched to port 1 (SPE) and the syringe pump dispensed 3 mL at 0.5 mL min.sup.1, eluting the preconcentrated sample directly into the 2 mL sample loop (not illustrated) of the PCR-IC system 28 and followed by injection for analysis. After dispensing each reagent, the syringe pump 14 was first rinsed twice with 1 mL of reagent water followed by rinsing twice with 1 mL of the next reagent before the fill-and-dispense steps of the next reagent.
(22) The SIA-PCR-IC system components are, as noted above, illustrated in
(23) The gradient pump 114 was set at a constant flow rate of 1 mL min.sup.1. The gradient program for separation and elution of HAA9 was as follows: initial conditions (1% of 200 mM KOH and 99% of reagent water) were held for 1 minute; from 1 to 2 minutes, the percentage of KOH was increased to 3% and was held for 2 minutes; from 4 to 10 minutes, it increased to 4% and was held for 3 minutes; from 13 to 15 minutes, it increased to 7%; from 15 to 20 minutes, it increased to 15%; from 20 to 23 minutes, it increased to 18%; from 23 to 27 minutes, it increased to 20%; from 27 to 31 minutes, it increased to 55%; from 31 to 38 minutes, it increased to 90%; from 38 to 47 minutes, it increased to 96%; and from 47 to 52 minutes, it decreased back to the initial conditions of 1%. The separation program detailed here is just an example. Any gradient program which affects separation is acceptable.
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(25) Preliminary studies prior to optimization determined that only the methanol conditioning step was necessary. Rinsing the SPE cartridge with 0.2 M sulfuric acid after the methanol step resulted in poor chromatographic resolution of the dihalogenated HAAs species (see B of
(26) The methanol conditioning step involved delivery of a 3 mL aliquot of methanol through the SPE cartridge 26 through activation of the syringe pump 14. An optimization of the delivery flow rate was conducted from 1 to 4 mL min.sup.1. The results of the study found that the % Recovery of individual and Total HAA9 species spanned no more than 10% except MBAA which increased of 21% from 1 to 2 mL min.sup.1, then decreased from 2 to 4 mL min.sup.1. The optimal flow rate of the methanol conditioning step was determined to be 2 mL min.sup.1 with average % Recoveries results as follows: 200% for MCAA, 428% for MBAA, 511% for DCAA, 921% for BCAA, 953% for DBAA, 724% for TCAA, 700% for BDCAA, 550% for DBCAA, 309% for TBAA, and 671% for the Total HAA9.
(27) Subsequent to this initial determination, more detailed refinement was sought for the overall method.
(28) Optimization of Method Parameters
(29) Thus, prior to detailed MDL, accuracy, precision, linearity, and real-world sample analyses, each parameter of the preconcentration method was optimized, including the SIA reagent and sample flow rates, sample pH, eluent concentration, and elution profiles. Each optimization study was conducted by consecutive, duplicate analyses and conditions were changed accordingly via software. For each condition, a 50 g L.sup.1 HAA9 standard was analyzed first followed by a preconcentrated 2 g L.sup.1 HAA9 standard. The % Recovery was calculated by dividing the peak areas of a preconcentrated 2 g L.sup.1 HAA9 standard by the peak areas of a 50 g L.sup.1 HAA9 standard and multiplying by 100. Thus, 100% Recovery of a 2 g L.sup.1 HAA9 standard after preconcentration should produce peak areas equal to a 50 g HAA9 standard (without preconcentration). Finally, a plot of the % recovery of the individual HAA9 species was constructed and inspected, and the optimal value was then chosen based on % Recovery of a majority of individual HAA9 species. However, if a plot showed no clear trend, then the optimal value was based on % Recovery of DCAA because it has the lowest PCR-IC fluorescent intensity and is the most common HAA9 species present in drinking water.
(30) The flow rates for sample loading and elution are expected to have more effect on % Recovery than the flow rate of the methanol conditioning step, since both act on the sample directly. The total loading flow rate was varied over the range of approximately 1.2 to 3.2 mL min.sup.1 in 0.5 mL increments (
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(32) Elution flow rate was then improved upon. Notably, the protonated HAAs are adsorbed onto the SPE resin via hydrophobic interactions. The NaOH reagent deprotonates and ionizes the HAAs and elutes them from the cartridge. For the flow rate optimization, a concentration of 0.01 M was used as a starting point. A four point, preliminary survey from 0.5 to 2.0 mL min.sup.1 found the optimal range to lie between 0.25 and 1.0 mL min.sup.1. A more detailed study was conducted between 0.3 and 1.0 mL min.sup.1 (
(33) After loading the sample onto the cartridge, a reagent water rinse was done to remove excess acid from the resin, which can cause poor chromatographic separation. The reagent water volume was optimized from 0.5 to 2.0 mL in 0.5 mL increments. The % recovery decreased with increasing rinse volume. However, there was only an 8% difference between 0.5 (69% Recovery) and 2.0 mL (61% Recovery) for the Total HAA9, and less than 10% difference between 0.5 and 1.0 mL for the individual HAAs, with the exception of DCAA at 30% difference. Although results were better when rinsing with 0.5 mL, a 1.0 mL rinse volume was chosen to provide a separation between the acid loading step and base elution step on the SPE cartridge, and elute more unwanted anions that might negatively affect the chromatography in a real-world drinking water sample. The average % Recoveries resulting from the optimized conditions were as follows: 174% for MCAA, 6514% for MBAA, 586% for DCAA, 772% for BCAA, 733% for DBAA, 7410% for TCAA, 752% for BDCAA, 612% for DBCAA, 339% for TBAA, and 682% for the TOTAL.
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(35) Optimization of sample pH was then considered. It appears that at the pH of drinking water, the HAAs are ionized in solution with pK.sub.a values of the HAA9 species ranging from 0.6 for TCAA to 2.9 for MBAA. Thus, a drinking water sample must be acidified to protonate the HAAs for adsorption onto the non-polar stationary phase. To simplify the study, the pH of the HAA standard was adjusted manually by adding concentrated acid drop wise and reading with a pH meter. The acidified standard was loaded onto the SPE cartridge using the automated SIA module followed by analysis using the PCR-IC.
(36) A preliminary study was conducted over a pH range 0.5 to 2.5 to narrow the range for optimal preconcentration (
(37) The detailed sample pH study was performed over the pH range 0.8 to 2.0 in 0.3 pH unit increments (
(38) Work then commenced to optimize eluent concentrations and timing. Such optimization of the NaOH eluent concentration and volume was conducted by varying the concentration from 5 to 50 mM NaOH and elution volume from 2 to 4 mL in 0.5 mL increments. The sample injection valve on the PCR-IC injects a 2-mL aliquot at the tail-end of the eluting volume (e.g. the last 2 mL of the 4 mL eluting volume is injected). The elution study of 5 mM, 10 mM, and 20 mM NaOH were analyzed in triplicate at each elution volume and found that 5 mM and 10 mM produced the overall best % Recovery results for the individual and Total HAA9 species (
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(40) Experimental Preconcentration Factor Considerations
(41) After completing the method optimizations, the experimental preconcentration factor (PF) for each of the HAAs was determined. A calibration curve was constructed from 25 to 65 g L.sup.1 for each HAA9 species (without preconcentration), and then a check standard of 50 g L.sup.1 each HAA9 species was analyzed in duplicate with and without preconcentration. The preconcentrated HAAs concentrations were calculated using the linear regression trend from the calibration curve, and previous research has shown the linear range for individual HAA9 species includes concentrations up to 912 g L.sup.1. The experimental PF values were determined for the individual HAAs by dividing the reported HAA concentration using preconcentration by the reported HAAs concentration without preconcentration (theoretical PF is 25). The resulting PF values ranged from the lowest for MCAA at 70.1 up to the highest for MCAA at 211.3 (Table 1), and the average PF for all HAA9 species was 161.0. The final % Recovery values were reported as the percent of the experimental PF divided by the theoretical PF (Table 1). With the exception of MCAA, all of the PF values were above 10, which indicates that the method should be able to detect HAAs at concentrations at least an order of magnitude lower than those previously reported.
(42) MDL Studies and Results
(43) The optimized, automated preconcentration SIA-PCR-IC analyzer was used to conduct detailed MDL, accuracy, precision, and linearity studies with IS calibration for individual and Total HAA9 species. Calibration standards were prepared at concentrations from 0.5 to 30 g L.sup.1 for each HAA9, and the IS was manually added to both calibration and check standards at 5 g L.sup.1 2-BBA. Calibration plots were constructed by plotting the ratio of peak areas for HAAs to the IS peak area, and a linear regression was calculated. A check standard with a concentration of 3 g L.sup.1 HAA9 was analyzed seven consecutive times and concentrations were calculated using the slope and y-intercept of the linear regression line. The absolute error and relative error were calculated based on the reported check standard concentration. Three different approaches were used to determine detection limits for the individual HAAs: the USEPA MDL, traditional MDL, and uncertainty MDL. The USEPA MDL is determined using USEPA recommended guidelines based on the standard deviation of the calculated check standard concentration. The traditional MDL is calculated as three times the standard deviation of noise in a blank analysis, and the Uncertainty MDL is based on the propagation of error of the linear regression line. The accuracy was estimated by mean % recovery, while precision was estimated by % relative standard deviation (% R.S.D.). The dynamic range is defined as the range between the limit of quantitation and limit of linearity, and was determined in a separate study with calibration standards ranging from 10 to 400 g L.sup.1 of each HAA9.
(44) The results of the detailed MDL, accuracy, precision, and linearity studies are presented in Table 1 and 2. All three methods for determining the MDL produced similar results, with values for each species within 2 g L.sup.1 of each other, and all MDL estimates were less 2.5 g L.sup.1 for all HAA9 species. The Uncertainty MDLs were the highest for each analyte, ranging from 1.0 to 2.5 g L.sup.1. The USEPA and Traditional MDL values were excellent and within 0.1 g L.sup.1 of each other for each of the HAA9 species. The USEPA MDL values ranged from 0.3 to 1.0 g L.sup.1 and Traditional MDL values ranged from 0.3 to 0.9 g L.sup.1. When compared to previously reported results obtained using the PCR-IC, these MDL values are almost a factor of 10 lower for each HAA9 species. Results for DCAA improved considerably, which has shown to be beneficial for on-line, remote drinking water analytical procedures, where DCAA is typically the most abundant of the HAAs but gives the poorest response using the nicotinamide fluorescence chemistry.
(45) Mean % recovery values (an estimate of accuracy) are within 10030%, and % R.S.D. values (an estimate of precision) are all below 10% (Table 2). The ranges for both mean % recovery and % R.S.D. are within the guidelines recommended by the USEPA. Absolute error values were below 0.9 g L.sup.1 and relative error values ranged from 1% for DCAA to 24% for BCAA.
(46) The dynamic range for all of the HAAs was significantly improved compared to previous reports. The limits of quantitation were improved by a factor of 2 to 11, and all such HAA9 limits were decreased to values between 1 and 3 g L.sup.1 (Table 1), demonstrating performance on par with USEPA 552.3. The limits of linearity for the individual HAA9 species ranged between 100 and 400 g L.sup.1, providing a linear response at least 40 g L.sup.1 above the MCL for HAA5 (0.06 mg L.sup.1). All of the correlation coefficient values (r.sup.2) for the dynamic range study were at or above 0.992, with 5 of the species having r.sup.2 equal to 1.000. It should be noted that the maximum values in the dynamic range for BCAA, BDCAA, DBCAA, and TCAA were limited by the maximum fluorescence signal of the fluorescence detector used here. The following two tables provides analytical figures of merit for the individual HAA9 species for the automated SIA-PCR-IC including: Preconcentration (Preconc.) factors; % Recovery (% Rec.) of the preconcentration; Dynamic range; and detailed MDL, accuracy, precision study results.
(47) TABLE-US-00001 TABLE 1 Preconc. Dynamic Abs. Rel. Preconc. % Rec. Range Error Error Analyte Factor (%) (g L.sup.1) (g L.sup.1) (%) MCAA 7 0.1 29 3-100 0.2 8 MBAA 21 1.3 84 2-100 0.4 14 DCAA 16 0.6 65 2-100 0.0 1 BCAA 17 0.8 68 1-100 0.7 24 DBAA 19 1.1 75 1-400 0.3 10 TCAA 20 1.2 82 2-200 0.7 22 BDCAA 15 1.0 60 1-100 0.8 28 DBCAA 12 0.9 46 2-300 0.5 15 TBAA 13 1.5 53 3-400 0.4 14
(48) TABLE-US-00002 TABLE 2 % MDL (g L.sup.1) Mean % R.S.D. Analyte USEPA Trad. Unc. Rec. (%) (%) MCAA 1.0 0.9 1.1 108 9.6 MBAA 0.7 0.7 2.5 114 6.8 DCAA 0.7 0.7 1.0 101 7.7 BCAA 0.4 0.4 0.6 124 3.4 DBAA 0.5 0.4 1.0 110 4.5 TCAA 0.6 0.5 1.0 122 4.8 BDCAA 0.3 0.3 1.1 128 2.4 DBCAA 0.6 0.6 1.1 115 5.4 TBAA 0.8 0.8 1.6 114 7.6
Water Line Testing
(49) Drinking water samples were collected from seven locations throughout Illinois, Tennessee, Georgia, and Arkansas. All of the samples were analyzed in duplicate for HAAs using the SIA-PCR-IC and USEPA 552.3, and analyzed by both methods within 24 hours of each other to reduce any bias due to continued formation in the sampling bottles. IS calibration was used for both methods to determine individual and Total HAA9 concentrations in samples. For the SIA-PCR-IC analysis, IS was quantitatively added to the individual samples by adding 1 mL of the 500 g L.sup.1 2-BBA stock standard into a 100-mL volumetric flask and diluting to volume with sample, yielding a final concentration of 5 g L.sup.1 of 2-BBA.
(50) An MDL, accuracy, and precision study for USEPA 552.3 is presented in Table 3. The USEPA MDL, mean % recovery, and % R.S.D. values were determined according to USEPA protocol. The MDL values for the HAA9 species ranged from 0.04 g L.sup.1 for DBAA to MCAA at 0.4 g L.sup.1, with excellent mean % recovery and % R.S.D. for the HAAs. The difference between the two methods' respective HAA9 MDL values range between a low of 0.1 g L.sup.1 for BDCAA and a high 0.6 g L.sup.1 for MCAA, MBAA, DCAA and TBAA. In previous reports, the differences between the two methods' MDL values nearly an order of magnitude higher, ranging between 1.4 g L.sup.1 for DBAA and 4.8 g L.sup.1 for DCAA. The following table thus provides MDL, accuracy, and precision values obtained using USEPA Method 552.3.
(51) TABLE-US-00003 TABLE 3 MDL Mean % Rec. % R.S.D. Analyte (g L.sup.1) (%) (%) MCAA 0.4 92 4.9 MBAA 0.1 97 0.8 DCAA 0.1 91 0.7 BCAA 0.1 91 0.6 DBAA 0.04 105 0.4 TCAA 0.1 91 0.9 BDCAA 0.2 88 2.4 DBCAA 0.2 81 2.4 TBAA 0.2 85 2.7
(52) The comparison of the two methods was based on the bias for the individual and Total HAA9 species calculated as the experimental valuetrue value where the experimental value is the SIA-PCR-IC concentration and the true value is the USEPA 552.3 concentration. The detailed results of the comparison study are presented in Tables 4-7, and include the individual HAAs, Total HAA5 and Total HAA9 concentrations for SIA-PCR-IC and USEPA 552.3 with the calculated bias values. For the SIA-PCR-IC, individual HAAs concentrations ranged from ND (not detected) up to 40.40.3 g L.sup.1 for DCAA in Sample C. The Total HAA5 concentrations for SIA-PCR-IC ranged from 1.80.3 g L.sup.1 in Sample F up to 67.90.9 g L.sup.1 in Sample C; Total HAA9 concentrations ranged from 2.00.1 g L.sup.1 in Sample F up to 73.60.8 g L.sup.1 in Sample C. For USEPA 552.3, individual concentrations ranged from ND up to 27.80.3 g L.sup.1 for DCAA in Sample G. The Total HAA5 concentrations for USEPA 552.3 ranged from 0.20.0 g L.sup.1 in Sample F up to 48.70.4 g L.sup.1 in Sample G; THAA9 concentrations ranged from 2.90.6 g L.sup.1 in Sample F up to 56.00.4 g L.sup.1 in Sample G. The bias for the individual analytes ranged from 5.50.1 g L.sup.1 for TCAA in Sample A up to 20.20.4 g L.sup.1 for DCAA in Sample C. Total HAA5 biases ranged from 9.80.4 g L.sup.1 in Sample A up to 21.01.9 g L.sup.1 in Sample C. Total HAA9 biases ranged from 13.20.5 g L.sup.1 in Sample A up to 20.91.9 g L.sup.1 in Sample C.
(53) The results of the comparison study demonstrate the effectiveness of the automated SIA-PCR-IC analyzer to determine individual HAAs, Total HAA5, and Total HAA9 concentrations in a variety of drinking water matrices. In the seven samples analyzed, a total of 63 measurements were made on the individual HAA9 species and 89% of these measurements had bias values less than 3 g L.sup.1, with the remaining bias for Total HAA5 and Total HAA9 of the samples largely contributed by DCAA for all of the samples except Sample F. The DCAA bias accounted for the majority of the bias in Samples B, C, D, E, and G. If DCAA is not included, the individual biases ranged from a minimum of 5.50.1 g L.sup.1 for TCAA in Sample A, to a maximum of 1.70.6 g L.sup.1 for TCAA in Sample C, with an average bias of only 0.2 g L.sup.1 for the individual HAA9 species.
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(55) The results of the SIA-PCR-IC are a large improvement over the traditional PCR-IC measurements. Here, as opposed to prior PCR-IC MDL values (which results are nearly an order of magnitude higher than the USEPA method MDL values), only 6 of 63 measurements (9.5%) were less than the MDL or not detected by the SIA-PCR-IC analyzer. In essence, the rate of false negatives was greatly decreased, showing that the inventive SIA-PCR-IC was able to report concentrations and speciation trends on par with the USEPA 552.3. The following four tables show concentration and bias values for HAAs detected using SIA Preconcentration with PCR-IC analysis versus the USEPA Method 552.3. For the following Tables 4-7, Bias is the result of subtracting the USEPA value from the PCR-IC value. There was also no integrate-able peak for the PCR-IC measures; as a result, the appropriate MDL value used for this calculation. Similarly, since there was no integrate-able peak for USEPA 552.3 results, MDL values were also used for such calculations.
(56) TABLE-US-00004 TABLE 4 Sample A Sample B Concentration (g L.sup.1) Concentration (g L.sup.1) Analyte PCR-IC USEPA Bias PCR-IC USEPA Bias MCAA 1.0 0.1 1.9 0.0 0.8 0.1 3.0 0.4 3.1 0.1 0.1 0.4 MBAA 0.9 0.1 0.4 0.0 0.5 0.2 1.1 0.0 0.5 0.2 0.6 0.2 DCAA 10.8 0.4 14.7 0.1 3.9 0.4 21.5 0.3 14.2 0.2 7.3 0.4 BCAA 2.0 0.1 4.4 0.0 2.3 0.1 1.3 0.1 1.1 0.0 0.2 0.1 DBAA ND ND ND ND ND ND TCAA 11.3 0.1 16.8 0.0 5.5 0.1 26.3 1.0 25.3 0.8 1.1 1.8 BDCAA 2.5 0.1 4.2 0.2 1.7 0.2 2.8 0.1 1.0 0.0 0.9 0.1 DBCAA 1.4 0.0 0.8 0.0 0.6 0.0 ND (0.6) 0.6 0.0 .sup.b0.0 0.0.sup. TBAA ND ND ND ND ND ND THAA5 24.0 0.3 33.8 0.2 9.8 0.4 52.0 2.4 43.1 0.5 8.9 2.4 THAA9 30.0 0.3 43.2 0.4 13.2 0.5 56.1 2.6 46.7 0.5 9.5 2.7
(57) TABLE-US-00005 TABLE 5 Sample C Sample D Concentration (g L.sup.1) Concentration (g L.sup.1) Analyte PCR-IC USEPA Bias PCR-IC USEPA Bias MCAA 2.9 0.0 2.9 0.0 0.0 0,0 2.4 0.1 2.7 0.1 0.3 0.1 MBAA 0.7 0.0 1.6 1.6 0.8 1.6 0.7 0.0 0.4 0.1 0.4 0.1 DCAA 40.4 0.3 20.2 0.3 20.2 0.4 37.0 0.5 18.3 0.2 18.7 0.5 BCAA 2.5 0.0 2.9 0.1 0.4 0.1 1.4 0.0 1.6 0.0 0.2 0.0 DBAA ND ND ND ND ND ND TCAA 23.8 0.6 22.1 0.2 1.7 0.6 14.2 0.1 15.5 0.2 1.3 0.2 BDCAA 3.2 0.1 2.4 0.0 0.9 0.1 1.4 0.0 0.5 0.0 0.9 0.0 DBCAA ND (0.6) 0.6 0.0 .sup.b0.0 0.0 1.3 0.0 0.6 0.0 0.7 0.0 TBAA ND ND ND ND ND ND THAA5 67.9 0.9 46.8 1.6 21.0 1.9 54.3 0.5 36.9 0.1 17.5 0.5 THAA9 73.6 0.8 52.7 1.7 20.9 1.9 58.4 0.4 39.5 0.1 18.9 0.5
(58) TABLE-US-00006 TABLE 6 Sample E Sample F Concentration (g L.sup.1) Concentration (g L.sup.1) Analyte PCR-IC USEPA Bias PCR-IC USEPA Bias MCAA 1.5 0.2 1.9 0.1 0.4 0.2 ND ND ND MBAA 0.7 0.0 0.3 0.0 0.4 0.0 ND ND ND DCAA 18.5 1.7 9.8 0.6 8.8 1.8 ND (0.7) 0.2 0.0 .sup.b0.5 0.0 BCAA 1.0 0.0 1.5 0.1 0.5 0.1 0.5 0.0 0.1 0.1 0.4 0.1 DBAA ND ND ND ND ND ND TCAA 13.8 0.6 14.8 0.2 1.0 0.6 0.3 0.7 ND (0.1) .sup.c0.2 0.2 BDCAA 2.4 0.1 1.2 0.2 1.2 0.2 0.7 0.1 ND (0.2) .sup.c0.5 0.1 DBCAA ND (0.6) 0.6 0.0 .sup.b0.1 0.0 0.6 0.1 1.2 0.1 0.6 0.1 TBAA ND ND ND ND (0.8) 1.4 0.1 .sup.b0.6 0.1 THAA5 34.5 2.1 26.8 0.9 7.8 2.3 1.8 0.3 0.2 0.0 1.6 0.3 THAA9 37.9 2.3 30.1 0.8 7.8 2.4 2.0 0.1 2.9 0.6 1.0 0.6
(59) TABLE-US-00007 TABLE 7 Sample G Concentration (g L.sup.1) Analyte PCR-IC USEPA Bias MCAA 2.8 0.3 3.3 0.0 .sup.0.5 0.3 MBAA ND (0.7) 1.0 0.0 .sup.b0.3 0.0 DCAA 31.1 2.3 27.8 0.3 .sup.3.3 2.4 BCAA 3.8 0.2 3.9 0.2 .sup.0.2 0.2 DBAA ND ND ND TCAA 15.9 1.0 16.6 0.2 .sup.0.7 1.0 BDCAA 3.1 0.1 2.5 0.1 .sup.0.6 0.1 DBCAA 0.6 0.0 0.8 0.0 .sup.0.2 0.0 TBAA ND ND ND THAA5 49.8 3.6 48.7 0.4 .sup.1.1 3.6 THAA9 57.3 3.8 56.0 0.4 .sup.1.3 3.9
(60) Thus, the inventive method provides measurement levels (exactness) on par with the USEPA true value standards, a significant improvement over prior HAA measurement methods.
(61) On-Line Analysis Using Internal Standard Calibrations
(62) The above-described developments provide the analysis of HAAs in various drinking water matrices using on-line internal standardization with preconcentration. However, these measurements were done in a grab sample format. That is, the SIA-PCR-IC analyzer was first calibrated then an internal standard was added manually to the samples prior to analysis. These studies were done with multiple points of operator handling as well as starting the instrument manually. The grab-sample analysis previously discussed demonstrates the ability of the SIA-PCR-IC to provide comparable results to the USEPA method, but does not demonstrate whether an on-line internal standard addition is reliable and reproducible for remote, on-line addition of the calibration standard.
(63) On-line analysis of HAAs using internal standard requires that the addition of the on-line internal standard to the sample must be reliable and reproducible over the course of multiple, repeated runs in a drinking water system. The first is important because the on-line and remote calibration of the SIA-PCR-IC instrument relies on the internal standard signal that is both reliably added to the drinking water sample and in an automated, reproducible way. This means that the internal standard must be added to each and every sample pulled from the drinking water distribution system without operator contact. Additionally, the internal standard must also be added in the same amounts on each analysis. If it is not, then the HAAs concentration results will not be reliable, and all of this must be done without human intervention. For on-line addition of the internal standard with preconcentration, the internal standard (2-BBA) was mixed into the sulfuric acid solution used to accomplish preconcentration. Thus, the internal standard was added to the sample in an automated and reproducible fashion. The 2-BBA in acidified solution was found to be stable for at least 1 week, and is thus suitable for remote monitoring.
(64) An experiment implementing an on-line, preconcentration with an internal standard was conducted to simulate sampling on-line from a drinking water distribution system. This was done by first collecting 4 L of a water sample from Lebanon, Tenn. The collected water sample was then analyzed using on-line, internal standard (IS) SIA-PCR-IC. For this on-line study, the finished drinking water was sampled in an identical way to a typical on-line monitoring study by placing the sample line of the peristaltic pump on the SIA module into the water sample and starting the automated instrument. Once started, the automated instrument reliably and reproducibly controls the pumping of the sample, pumping of the internal standard, preconcentration of the acidified sample, injection of the sample using an electronically controlled valve, separation of the HAAs species using the high-pressure pump, pumping of the post-column reagents, and detection and integration of the HAAs' signal to report HAAs concentrations. At the end of each run, the instrument restarts for next sample (without operator intervention).
(65) An overlay of 2 chromatograms from the study is illustrated in
(66) TABLE-US-00008 TABLE 8 Analyte Range (g L.sup.1) Average (g L.sup.1) MCAA 0.8-2.0 1.4 0.3 DCAA 16.3-35.7 24.7 4.0 BCAA 1.5-3.6 2.4 0.4 TCAA 13.7-32.0 20.1 3.8 BDCAA 2.1-4.4 2.9 0.5 THAA9 35.1-73.3 51.4 8.3
(67) The reproducible nature of adding the internal standard was evaluated by measuring the internal standard peak area over the length of the study. The reproducibility of the on-line addition of internal standard is important because the concentrations of the HAAs are determined based on the peak area of the internal standard. If the peak area of the internal standard changes significantly over the course of the on-line study, then there is a corresponding error on the reported concentrations of the concentrations of HAAs. Table 9 shows the figures of merit for the peak area of the on-line addition of the internal standard. The results show a 15% variation on the average of the signal during on-line introduction of the internal standard. Variations in this range are not uncommon in fluorescence spectrometry, and thus the results and reported error here are acceptable. The following Table thus shows variations in the determined peak area for the internal standard analyzed throughout an on-line study of Lebanon, Tenn. drinking water, analyzed by SIA-PCR-IC with nicotinamide fluorescence.
(68) TABLE-US-00009 TABLE 9 Range Average (mV .Math. s) (mV .Math. s) % RSD 151-286 224-33 15%
(69)
(70) Thus, it was determined that a fully-automated, preconcentration procedure for individual and Total HAA9 species was possible, particularly through the utilization of sequential injection analysis prior to analysis by PCR-IC (such as with nicotinamide fluorescence detection procedures). Such a method permits not only a total analysis time of two hours, but the MDL, accuracy, and precision values are nearly an order of magnitude better than PCR-IC without preconcentration and on par with USEPA Method 552.3. Analysis of numerous real-world drinking water samples resulted in acceptable bias values between the SIA-PCR-IC and USEPA 552.3, as well. Basically, then, the inventive SIA-PCR-IC is capable of providing real-time, on-line analysis of the HAA9 species with results equivalent to the USEPA 552.3, but without the need for expert analysts. Hence, the overall system is the most reliable remote system of its kind for water purity analysis.
(71) The preceding examples are set forth to illustrate the principles of the invention, and specific embodiments of operation of the invention. The examples are not intended to limit the scope of the method. Additional embodiments and advantages within the scope of the claimed invention will be apparent to one of ordinary skill in the art.