Abstract
Anthropogenic emissions of mercury to the environment are of great concern due to its toxicity. The burning of coal contributes highly to Hg emissions and, as such, much lower effluent discharge limits for Hg in flue gas desulphurisation (FGD) wastewater have recently been proposed in the USA. Lower detection limits are required to meet the most demanding discharge limit of 10 ng L−1. Therefore, in this work, a new analyser for online monitoring of Hg in FGD wastewater based on syringe injections of chemicals combined with gold amalgamation – atomic fluorescence spectrometry has been developed. The instrument has been validated against international standard method ISO 17852, as well as an interference study with extreme levels of salts majorly present in FGD water. Detection limits of 1.8 ng L−1 as well as accurate performance in an on-site field trial indicate that the methodology is fit to meet the new legislation.
HIGHLIGHTS
LOD of 1.8 ng L−1 and LOQ of 3.7 ng L−1, with possibilities to further reduction by varying sample intake.
Successful analysis carried out on-site with a constantly changing effluent Hg concentration.
Interference study indicates the instrument is robust in high levels of extreme levels of salts present in FGD wastewater.
INTRODUCTION
Anthropogenic emissions make up the majority of mercury (Hg) releases into the environment (UN Environment 2019). Therefore, given the highly damaging effects of Hg to wildlife and human health (Syversen & Kaur 2012), it is vital that such Hg emissions are strictly regulated. Regarding aqueous emissions of Hg from industrial wastewater, unregulated discharge can be terribly damaging to wildlife and human health as ionic divalent mercury (Hg2+) is converted by micro-organisms to methylmercury (MeHg), one of the most toxic and most bioavailable forms of Hg (Gochfeld 2003; Syversen & Kaur 2012), which is then biomagnified through the food chain.
Fossil fuel burning is a major contribution to the global anthropogenic Hg emissions, where coal combustion alone contributes approximately 21% (UN Environment 2019). The global average Hg content of coal is 0.1 mg kg−1 (Yudovich & Ketris 2005) with China, USA, and South Africa showing elevated average coal Hg concentrations of approximately 0.2 mg kg−1 (Zhao et al. 2019). Combustion of coal thermally converts the mercury to volatile Hg0. The resulting flue gas cools down as it is carried along the process and Hg can either react with acid gases produced from the coal combustion, particularly hydrochloric acid (HCl), to form oxidised Hg, or can be adsorbed onto the unburned carbon particulates and fly ash as particulate bound Hg (Niksa & Fujiwara 2005). For coal with lower chloride content, halogenated powdered activated carbon (typically brominated) can be introduced to the flue gas to enhance the Hg0 oxidation (Srivastava et al. 2006). Additionally, the conversion processes can be improved to >90% efficiency if selective catalytic reduction for NOx gases is also used (Srivastava et al. 2006). Both oxidised and particulate bound forms of Hg are water soluble and can be subsequently removed from the flue gas through wet processes. Typically, Hg is preferentially removed during the flue gas desulphurisation (FGD) process, which is required to oxidise sulphur dioxide to soluble sulphate species to reduce SO2 emissions. Most commonly, this is achieved using a wet limestone process (Córdoba 2015) or seawater at coastal locations (Huang et al. 2023). The solubilised Hg2+ can then be further treated using additional removal processes.
The most recent estimation of the global Hg emissions, carried out in 2015, showed that coal-fired power plants were responsible for approximately 54 tonnes of Hg emissions to water (UN Environment 2019). Effluent discharge limits are set by each country and based on the best available technology (BAT). In the European Union (EU), discharge limits for Hg range from 0.2 to 3 μg L−1 (EU 2017/1442). The USA currently has the lowest discharge limits following promulgation of a new regulation by the Environmental Protection Agency (EPA) (US EPA 2020) that came into force at the end of 2020. According to the Code of Federal Regulations (C.F.R. 40 § 423), previous discharge limits of 758 ng L−1 per day and an average of 356 ng L−1 within any 30-day period have now been drastically reduced to 103 ng L−1 per day and an average of 34 ng L−1 within any 30-day period. For an average 660-MW coal-fired power plant discharging approximately 0.3 m3 MWh−1 FGD of wastewater (Han et al. 2020), the change in effluent discharge limit results in an annual maximum release of Hg to aquatic systems from approximately 0.6 to 0.06 kg year−1. Additionally, power plants may elect to voluntarily meet even lower discharge limits as part of a voluntary incentives program. This limit, which was also reduced at the end of 2020, permits a maximum Hg discharge of 23 ng L−1 on any given day, and less than an average of 10 ng L−1 within any 30-day period (C.F.R. 40 § 423).
Such low discharge limits require much lower detection limits, which can be difficult to achieve due to the high variability of the FGD wastewater matrix. Though the BAT defines the discharge limits, power plants are by no means required to use the BAT, provided the removal process used complies with the set discharge limits. Typical processes used to treat FGD water for heavy metals include chemical precipitation with iron (US EPA 2015) or aluminium salts (Marcinowski et al. 2019), organo-sulphide precipitation (Sun et al. 2012; US EPA 2015; Masoomi et al. 2020), or hydroxide precipitation with wet limestone (Córdoba 2015; US EPA 2015), anaerobic biological treatment (EU 2017/1442; US EPA 2015), and adsorption onto activated carbon (EU 2017/1442). Therefore, development of an analyser capable of measuring Hg in any given FGD wastewater can be very challenging as different power plants may have substantially different FGD wastewater matrices due to differences in the types of coal, process conditions, removal systems, wastewater treatment processes, etc.
Determinations of Hg in waters are most commonly carried out with cold vapour (CV) generation coupled to either atomic absorption spectrometry (AAS) and atomic fluorescence spectrometry (AFS), however the CV-AFS approach boasts lower detection limits compared to CV-AAS (Sánchez-Rodas et al. 2010). Typically, plants take daily composite samples and analyse them using standard methods, such as ISO 17852:2006, EPA 245.7 (US EPA 2005), and EPA 1631 (US EPA 2002). However, online determination of Hg is imperative, as offline grab-sample analysis can be slow and labour intensive, potentially leading to a delayed response to changing Hg concentrations due to lack of real-time data and noncompliance penalties being imposed. Previous analysers used for online monitoring of Hg in FGD wastewater were based on a continuous flow injection approach, which requires higher labour time and costs to operate due to the high volumes of reagents required and waste generated. Thus, a new, syringe-based batch process approach for online Hg monitoring has been developed here that is capable of accurate quantification of total Hg at the lowest discharge limit of 10 ng L−1 through preconcentration of Hg with gold amalgamation. Such design has been utilised to massively reduce reagent consumption by injecting precise volumes of reagent only when required, while also maintaining accurate quantification of total Hg at the lowest discharge limit of 10 ng L−1. This work highlights that the new instrumentation provides accurate and precise determinations of low-level Hg in various real FGD wastewater samples, as well as excellent performance on-site at a coal-fired power plant operated under real-world conditions.
MATERIALS AND METHODS
Chemicals
Deionised water was produced by an Elga Purelab Option DV35 (15 MΩ cm; Elga, UK). HCl (NORMATOM®, 34–37%; VWR, UK) was used for acidification of samples and standards. Ten thousand mg L−1 of Hg2+ standard was purchased (Fisher Scientific, UK) and was diluted sequentially to a working standard of 100 μg L−1 in 0.6 M of HCl. Further dilutions were prepared in 0.6 M of HCl. A 1,000 mg L−1 of stock solution of methylmercury chloride was prepared by diluting the compound (Fluorochem Ltd, UK) in methanol. Subsequent dilutions were carried out in 0.12 M of HCl. A 1,000 mg L−1 of stock solution of ethylmercury chloride was prepared by diluting the compound (Johnson Matthey GmbH, Germany) in methanol. Subsequent dilutions were carried out in 0.12 M of HCl. Bromide–bromate solution (0.1 N; Merck, UK) was used as an oxidising agent. Excess bromine was reduced using 20 g L−1 of hydroxylamine hydrochloride (SpectrosoL®; BDH, UK) online, or 100 g L−1 of L-ascorbic acid (99 + %; Alfa Aesar, UK) offline. The reductant was tin(II) chloride dihydrate (AnalaR NORMAPUR; VWR, UK) prepared in 1.2 M of HCl at concentrations of 40 g L−1 online, or 20 g L−1 offline. Soda-lime (Sofnolime®, RG grade; Molecular Products, UK) was used to trap acid gases prior to gold amalgamation.
Magnesium chloride (>95%; Sigma Aldrich, UK), calcium chloride (technical grade; Sigma Aldrich, UK), potassium nitrate (ACS Reagent grade; Sigma Aldrich, UK), sodium sulphate (ACS Reagent grade, 99 + %; Sigma Aldrich, UK), sodium hydrogen sulphide (technical grade; Sigma Aldrich, UK), sodium chloride (99.5%; Sigma Aldrich, UK), potassium hydrogen phthalate (Puriss grade; Fluka, UK), iron chloride hexahydrate (99 + %; ACROS, UK), aluminium chloride hexahydrate (99 + %; ACROS, UK), boric acid (ACS Reagent grade, 99.5 + %; Sigma Aldrich, UK), and ammonium carbonate (ACROS, UK) were chemical salts used for an interference study. TMT-15® (15% (m/v) 1,3,5-triazine-2,4,6-trithiol trisodium salt; Sigma Aldrich, UK) was an organo-sulphide compound used for the interference study.
Instrumentation
Online measurements were carried out with the Hg analyser developed (PSA 10.226; PS Analytical, UK). A CV-AFS (PSA 10.025 Millennium Merlin; PS Analytical, UK) was used for offline analysis of samples.
Online filtration of wastewater samples was carried out using a fast-loop self-cleaning filter (PSA L225A210; PS Analytical, UK) with a 100-μm filter insert. Whatman™ filter papers (41, Ashless, 90 mm diameter; Fisher Scientific, UK) were used for offline sample filtrations.
Samples
Seven influent and effluent FGD wastewater samples were obtained from various coal-fired power plants in the USA. The plants burned bituminous or subbituminous coals and had operating capacities within the range of 2,150–2,850 MW.
Sample preparation and analysis
Online Hg analysis
A sample aliquot of 2.5 mL was added to a quartz UV digestion vessel, followed by 2 mL of 6 M of HCl and 1 mL of bromide/bromate solution. The sample was then diluted to 20 mL using deionised water and allowed to digest for 15 min. Excess bromine was reduced using 1 mL of hydroxylamine solution. The digest was then transferred to the gas–liquid separator (GLS), where 1 mL of tin(II) chloride reductant was added and the Hg purged from solution with argon carrier gas at 350 mL min−1 through a PermaPure® membrane, soda-lime trap, and collected on a gold trap for 5 min. The gold trap was then heated for 15 s, and the Hg evolved was carried to the AFS detector for quantification.
Offline Hg analysis
Offline analysis of FGD wastewater samples was carried out in accordance with ISO 17852:2006. To 45 mL of wastewater sample, 2.5 mL of HCl and 2 mL of bromide/bromate solution was added. The samples were allowed to react for 1 h. The excess bromine was reduced with 500 μL of L-ascorbic acid solution before analysis with AFS.
RESULTS AND DISCUSSION
Development of an online Hg analyser
Collection time for gold trapping
Gold amalgamation coupled to AFS detection was employed to increase sensitivity and, thus, reach much lower detection limits. The time required to purge the Hg from solution was evaluated to ensure maximum sensitivity. Monitoring the Hg signal by analysing Hg2+ standards while bypassing the gold trap showed that a 5-min collection time quantitatively purges Hg up to absolute mass of 2 ng of Hg (equivalent to 10 mL of a sample containing 200 ng L−1 Hg2+), which is sufficient for the analysis of Hg in FGD wastewater.
Development of analysis method for total Hg in FGD wastewater
Acidified bromide/bromate digestion was employed for the measurement of Hg in FGD wastewater, similar to previously validated offline wastewater analysis methods such as ISO 17852:2006 and EPA 245.7. The reaction was carried out in a quartz digest vessel in the presence of UV light to assist acidified bromine digestion of the sample matrix. To reduce the excess bromine formed, 0.1 mL of hydroxylamine was required to successfully decolourise the digest. However, this volume was increased to 1 mL as a precaution to ensure the excess bromine was reduced to avoid potential interferences once transferred to the GLS. As a secondary precaution, a soda-lime trap was added before the gold trap to remove any halogens from the carrier gas stream. Calibrations were able to be carried out using varying volumes of one Hg2+ standard between 2.5 and 15 mL, which reduces overall preparation time and allows for more space on the reagent introduction valves for additional samples or QC standards.
Optimisation of the digestion time and sample dilution was carried out using four different FGD wastewater samples. Samples were spiked online with 0.25 ng Hg absolute mass. Results are presented in Table 1.
Optimisation of digestion time based on the recovery of a Hg2+ spike standard for four FGD wastewater samples
Wastewater sample . | Sample volume (mL) . | Digestion time (min) . | Measured conc. (ng L−1) . | Spike recovery (%) . |
---|---|---|---|---|
FGD 1 | 10 | 1 | 8.86 ± 0.61 | 79.2 ± 2.3 |
10 | 5 | 8.66 ± 0.26 | 96.3 ± 4.4 | |
FGD 2 | 2.5 | 10 | 23.1 ± 0.9 | 50.3 ± 8.4 |
2.5 | 15 | 44.8 ± 1.8 | 90.3 ± 2.4 | |
2.5 | 20 | 46.4 ± 0.5 | 94.1 ± 4.0 | |
FGD 3 | 2.5 | 10 | 20.8 ± 0.9 | 55.9 ± 1.8 |
2.5 | 15 | 22.9 ± 0.2 | 93.1 ± 3.1 | |
FGD 4 | 2.5 | 15 | 7.20 ± 0.58 | 93.2 ± 2.2 |
Wastewater sample . | Sample volume (mL) . | Digestion time (min) . | Measured conc. (ng L−1) . | Spike recovery (%) . |
---|---|---|---|---|
FGD 1 | 10 | 1 | 8.86 ± 0.61 | 79.2 ± 2.3 |
10 | 5 | 8.66 ± 0.26 | 96.3 ± 4.4 | |
FGD 2 | 2.5 | 10 | 23.1 ± 0.9 | 50.3 ± 8.4 |
2.5 | 15 | 44.8 ± 1.8 | 90.3 ± 2.4 | |
2.5 | 20 | 46.4 ± 0.5 | 94.1 ± 4.0 | |
FGD 3 | 2.5 | 10 | 20.8 ± 0.9 | 55.9 ± 1.8 |
2.5 | 15 | 22.9 ± 0.2 | 93.1 ± 3.1 | |
FGD 4 | 2.5 | 15 | 7.20 ± 0.58 | 93.2 ± 2.2 |
Errors are given as standard deviation of three replicates.
Spike recoveries were assessed based upon a pass criterion of 90–110%. A good recovery of 96.3% was obtained for one FGD wastewater sample using a high sample volume of 10 mL and a short digestion time of 5 minutes. However, all other FGD samples tested required a much lower sample volume and longer digestion times to obtain acceptable spike recoveries. Spike recoveries within 90–110% were obtained for all samples using a 2.5-mL sample volume with a 15-min UV digestion time. Therefore, this method was employed as standard for all FGD wastewater samples. However, it should be noted that it may be possible to use higher volumes or shorter digestion times for FGD streams where higher frequency or lower detection limits are required.
Conversion of organic Hg species
Recovery of Hg obtained for UV-assisted digestion of 50 ng L−1 MeHg (red, square) and EtHg (blue, circle) standard solutions. Error bars represent one standard deviation of three replicates.
Recovery of Hg obtained for UV-assisted digestion of 50 ng L−1 MeHg (red, square) and EtHg (blue, circle) standard solutions. Error bars represent one standard deviation of three replicates.
Recoveries for EtHg were consistently between 98 and 103%, which indicates complete conversion of the EtHg compound to Hg2+ regardless of digestion time. Conversely, recoveries for measurements of MeHg increased with digestion time, which implies that MeHg is more difficult to break down compared to EtHg. Recoveries of greater than 90% were obtained for digestion times of 15 min and above. It is worth noting, however, that the MeHg present in FGD wastewater makes up only a small fraction of the total Hg. One study of four coal-fired power plants in Ohio, America, observed influent and effluent MeHg concentrations at approximately two orders of magnitude less than that of the total Hg (ORSANCO 2013). However, it is possible that other wastewater streams may contain higher levels of organic Hg species.
Reagent stability
Recovery of a 100 ng L−1 Hg2+ calibration standard using tin(II) chloride reductant open to air (orange, diamond) and under argon purge (blue, circle).
Recovery of a 100 ng L−1 Hg2+ calibration standard using tin(II) chloride reductant open to air (orange, diamond) and under argon purge (blue, circle).
The efficiency of Hg0 generation was greatly reduced when the reductant solution was left open to air, as indicated by the immediate decline of Hg recovery to less than 90% after just 1 day. Using argon gas to remove contact of the solution with air vastly improved stability of the reductant, giving recoveries of Hg within 90–110% over the 14 days tested.
Stabilities of the other reagents were tested by leaving them open to air 60 days before use. Two Hg2+ calibration standards were prepared in borosilicate bottles at concentrations of 100 and 10 ng L−1. The standards were measured against a calibration generated using freshly prepared reagents. After 60 days, analysis of the 100 and 10 ng L−1 standards using the old reagents gave 102.5 and 102.8% recovery, respectively, which indicates that these reagents used for the online digestion have a high stability and are suitable for online monitoring.
Method validation
Detection limits
Detection limits were established by the analysis of blanks against a calibration. Limit of detection (LOD) and limit of quantification (LOQ) were calculated by addition of three and 10 times the standard deviation to the blank concentration respectively. Instrument detection limit (IDL) considered only three times the standard deviation. However, these limits do not consider the sample matrix, which may be significantly more difficult to analyse than a pure standard. In this case, a method detection limit (MDL) was also calculated by the multiplication of the t-statistic (at 99% confidence) with the standard deviation of sample, as defined in the Code of Federal Regulations (C.F.R. 40 § 136). To be valid, the native Hg concentration must be <10 times that of the MDL. Results are presented in Table 2.
List of detection limits determined for the online Hg analyser
Detection limit . | Number of runs . | Hg mass (pg) . | Hg conc. for 10 mL sample (ng L−1) . | Hg conc. for 2.5 mL sample (ng L−1) . |
---|---|---|---|---|
LOD | 10 | 4.5 | 0.45 | 1.8 |
LOQ | 10 | 9.3 | 0.93 | 3.7 |
IDL | 10 | 2.1 | 0.21 | 0.84 |
MDL | 8 | 4.5 | – | 1.8 |
Detection limit . | Number of runs . | Hg mass (pg) . | Hg conc. for 10 mL sample (ng L−1) . | Hg conc. for 2.5 mL sample (ng L−1) . |
---|---|---|---|---|
LOD | 10 | 4.5 | 0.45 | 1.8 |
LOQ | 10 | 9.3 | 0.93 | 3.7 |
IDL | 10 | 2.1 | 0.21 | 0.84 |
MDL | 8 | 4.5 | – | 1.8 |
Similar LODs and MDLs were obtained, suggesting that the presence of the sample matrix had minimal effect. Results indicate that a detection limit of 1.8 ng L−1 can be achieved using 2.5 mL of sample, however, this can be vastly improved to <0.5 ng L−1 using a larger volume of sample. Here, this was carried out using 10 mL of sample diluted to 20 mL in the digest vessel, which may not work for all FGD samples; however, there may be scope to scale up the volumes of digest reagents and dilution if lower detection limits are required. However, the LOQ of 3.7 ng L−1 is well below the lowest effluent limit of 10 ng L−1 proposed by the EPA, which further enhances reliability as concentrations obtained below the effluent limit are both detectable and quantifiable. The IDL indicates that the contribution of the instrument noise to the detection limit is approximately half. This implies that the detection limit may be improved by up to half by improving the blank concentration (i.e., using higher quality reagents).
Validation of the method against ISO 17852
Total Hg concentrations for FGD wastewater samples measured using the online Hg analyser (PSA 10.226) and standard method ISO 17852 compared using orthogonal regression. Error bars represent one standard deviation of three replicates. Associated confidence interval bands (95%) are displayed (grey dotted line).
Total Hg concentrations for FGD wastewater samples measured using the online Hg analyser (PSA 10.226) and standard method ISO 17852 compared using orthogonal regression. Error bars represent one standard deviation of three replicates. Associated confidence interval bands (95%) are displayed (grey dotted line).
The slope of 1.0259, which is close to the expected value of 1, showed no significant systematic bias at a 95% confidence interval (Z-score = 0.647, p = 0.518). Additionally, the intercept of +0.4286 ng L−1, which is close to the expected value of 0, showed no significant bias at a 95% confidence interval (Z-score = 0.460, p = 0.646). Therefore, the online analyser has been shown here to perform well for the analysis of Hg in FGD wastewater and has been successfully validated against an international standard method.
Further validation with uncertainty budget
Uncertainty budgets were calculated using a bottom-up approach for the measurement of an FGD wastewater sample and the measurement of spiked standards in 5% HCl (see Supplementary material). The expanded uncertainty for the measurement of Hg in FGD wastewater was estimated here to be 15.4% (Supplementary material, Table S1), which is within a similar order of magnitude to previously published expanded uncertainties for wastewater measurements, such as from a proficiency test for routine laboratory measurements (Pereyra et al. 2013) and the development of a thermal decomposition/amalgamation AAS method (Fletcher et al. 2020). This further validates the instrument for its intended purpose. The expanded uncertainty for a Hg2+ standard was much lower at 5.4% (Supplementary material, Table S2) due to the absence of sample matrix. This value therefore gives an indication of the theoretical best uncertainty obtainable under the conditions tested.
Field trial
Results of 7 days of online monitoring of FGD wastewater for (a) concentrations of native Hg in FGD wastewater (orange, diamond) and online Hg-spiked FGD wastewater (blue, circle), and (b) the Hg spike recovery results. The red dotted line indicates the Hg spike recovery criteria of 80–120%.
Results of 7 days of online monitoring of FGD wastewater for (a) concentrations of native Hg in FGD wastewater (orange, diamond) and online Hg-spiked FGD wastewater (blue, circle), and (b) the Hg spike recovery results. The red dotted line indicates the Hg spike recovery criteria of 80–120%.
The results indicate that the analyser was able to successfully monitor a continuously changing wastewater stream over 7 days. A notable decrease in Hg2+ spike recovery was observed after 2.5 days of measuring. This decrease occurred after a short period of plant shut-down. When shutting the instrument down, the reagent lines were moved to a water container and rinsed by priming the lines once with 5 mL. Upon restarting the instrument, the reagent lines were moved back to their respective containers, however the reagents were not primed before restarting. Therefore, the spike recovery decreased for four measurements but returned to within 80–120% recovery thereafter while the dead volume of water in the tubing was overcome.
Interference study
Due to the complex and highly variable composition of FGD wastewater matrix, it is important to consider the different components that may cause interferences with Hg analysis. Potential interferences, which may hinder the digestion or reduction of Hg steps, were tested by diluting the interferent in deionised water over a range of concentrations. Recovery of Hg was assessed by spiking the salt solutions with 100 ng L−1 Hg2+. Interference from each compound was tested separately to determine which anions, cations, or organics may affect the Hg measurements. The range of concentrations of the major elements, anions, and cations present in FGD wastewater, and the range of each tested in this study, has been given in Table 3 and the results from the main interferents are presented in Supplementary material, Figure S1.
Concentration range of major components of FGD wastewater and the concentration range of each component assessed for interferences in this study
. | Unit . | Range tested using PSA 10.226 . | Range in FGD wastewater . | References . |
---|---|---|---|---|
pH | – | – | 3.5–8.2 | a, b, c, d, e, f, g |
Conductivity | mS cm−1 | – | 26.5–65.8 | a, b, c, e, f |
TDS | mg L−1 | 26,600–286,000 | 7,500–121,000 | d, e, f, h |
TOC | mg L−1 | 102–1,970 | 13.8–121 | a, b, e, f, g, i |
Aluminium | mg L−1 | 2.57–15.1 | 0.006–10.3 | c, j |
Ammonia (as N) | mg L−1 | 2.47–19.9 | 0.220–13.2 | g, h, j |
Boron | mg L−1 | 106–832 | 31.5–723 | a, b, d, i, j |
Calcium | mg L−1 | 419–5,880 | 384–5,080 | c, d, e, i, j |
Chloride | mg L−1 | 744 – 42,381 | 1,120–24,200 | a, b, c, d, h, i, j |
Iron | mg L−1 | 30.9–211 | 0.050–130 | a, b, j |
Magnesium | mg L−1 | 2,100–14,500 | 145–9 050 | c, d, e, i, j |
Nitrate/Nitride (as N) | mg L−1 | 56.7–1,140 | 0.095–345 | a, b, c, d, e, g, h, i, j |
Potassium | mg L−1 | 158–3,770 | – | – |
Sodium | mg L−1 | 125–7,170 | 477–1,970 | c, e, i, j |
Sulphate | mg L−1 | 262–15,000 | 750–13,300 | a, b, c, d, e, g, h, i, j |
. | Unit . | Range tested using PSA 10.226 . | Range in FGD wastewater . | References . |
---|---|---|---|---|
pH | – | – | 3.5–8.2 | a, b, c, d, e, f, g |
Conductivity | mS cm−1 | – | 26.5–65.8 | a, b, c, e, f |
TDS | mg L−1 | 26,600–286,000 | 7,500–121,000 | d, e, f, h |
TOC | mg L−1 | 102–1,970 | 13.8–121 | a, b, e, f, g, i |
Aluminium | mg L−1 | 2.57–15.1 | 0.006–10.3 | c, j |
Ammonia (as N) | mg L−1 | 2.47–19.9 | 0.220–13.2 | g, h, j |
Boron | mg L−1 | 106–832 | 31.5–723 | a, b, d, i, j |
Calcium | mg L−1 | 419–5,880 | 384–5,080 | c, d, e, i, j |
Chloride | mg L−1 | 744 – 42,381 | 1,120–24,200 | a, b, c, d, h, i, j |
Iron | mg L−1 | 30.9–211 | 0.050–130 | a, b, j |
Magnesium | mg L−1 | 2,100–14,500 | 145–9 050 | c, d, e, i, j |
Nitrate/Nitride (as N) | mg L−1 | 56.7–1,140 | 0.095–345 | a, b, c, d, e, g, h, i, j |
Potassium | mg L−1 | 158–3,770 | – | – |
Sodium | mg L−1 | 125–7,170 | 477–1,970 | c, e, i, j |
Sulphate | mg L−1 | 262–15,000 | 750–13,300 | a, b, c, d, e, g, h, i, j |
The Hg recovery for all anions and cations listed gave Hg recoveries of 90–110% using the online UV digestion method (Supplementary material, Figure S1). Therefore, the online Hg analyser is capable of quantitatively measuring Hg in FGD wastewater, even in the presence of extreme levels of different dissolved salts observed in literature.
Total dissolved solids (TDS) were tested using sodium chloride. Over the saline concentrations tested (up to 286 g L−1), recoveries of Hg between 90 and 110% were obtained (Supplementary material, Figure S1) and with high precision. Therefore, the instrument provides reliable results for total Hg, exceeding the range of TDS observed in literature works (Huang et al. 2013; Andalib et al. 2016; Conidi et al. 2018; Zheng et al. 2020). In addition, total Hg in sodium chloride solutions close to saturation were successfully analysed, which suggests that the instrument may also be suitable for Hg monitoring of other processes with extremely high salinity, such as saturated brine from storage caverns or produced water from oil and gas production and sea water.
Recovery of 100 ng L−1 Hg in (a) potassium hydrogen phthalate standards with UV on (blue, circle) and off (orange, diamond) during digestion and (b) real FGD wastewater matrix with additional potassium hydrogen phthalate added. Red dotted lines indicate the threshold of 90–110% recovery of Hg. Error bars represent one standard deviation of four replicates.
Recovery of 100 ng L−1 Hg in (a) potassium hydrogen phthalate standards with UV on (blue, circle) and off (orange, diamond) during digestion and (b) real FGD wastewater matrix with additional potassium hydrogen phthalate added. Red dotted lines indicate the threshold of 90–110% recovery of Hg. Error bars represent one standard deviation of four replicates.
The recovery of Hg was observed to decrease using the UV digestion method, while also giving very high variability in the results obtained (Figure 6(a)). The TOC study was repeated with the UV light turned off. Under this condition, recoveries of Hg within 90–110% were obtained with much lower variability. Given that the compound used is a salt of phthalic acid, which is an organic acid, it could be that the loss of Hg observed under UV light was due to photochemical vapour generation of Hg0 in the digest vessel, which could then be evolved from solution during the digestion and lost. However, it would be expected that the use of bromide/bromate oxidant would convert any generated Hg0 back to Hg2+ and keep it in solution. Alternatively, the UV reaction with the potassium hydrogen phthalate could generate species which could interfere with the tin(II) chloride reduction step, cause modification on the surface of the gold trapping material, or cause quenching of atomic fluorescence.
The TOC interference study was repeated in the presence of a real FGD wastewater sample and using UV digestion to determine if elevated TOC levels would be problematic during normal operation of the instrument. Under these conditions, recoveries of Hg within 90–110% were observed for TOC levels as high as 1,970 mg L−1 (Figure 6(b)). It was likely that the FGD wastewater matrix was suppressing the effect of phthalate. Therefore, given this context, it can be assumed that high TOC levels will not cause an interference with the measurement of total Hg in FGD wastewater. However, elevated levels of TOC may cause interferences during analysis of less complex water streams, such as river or seawater.
Recovery of 100 ng L−1 Hg2+-spiked standards containing (a) TMT and (b) NaHS. Error bars represent one standard deviation of four replicates.
Recovery of 100 ng L−1 Hg2+-spiked standards containing (a) TMT and (b) NaHS. Error bars represent one standard deviation of four replicates.
Concentrations of TMT tested ranged from 10.5 to 52.3 mg L−1 (equivalent to 70.0–330 μL L−1 TMT-15®). Hg recoveries between 90 and 110% were observed for tested TMT concentrations up to 21.1 mg L−1. However, a noticeable decrease in recovery of Hg was observed as the TMT concentrations were increased further. Therefore, the method may require to be altered to provide accurate results in FGD wastewater treated with greater TMT concentrations, either by employing longer digestion times or with the addition of higher volumes of oxidant to break the Hg-organo-sulphide complex more easily.
NaHS decomposes to gaseous hydrogen sulphide (H2S) under acidic conditions. The resulting H2S may cause measurement issues due to sulphur poisoning of the gold trap, as has been previously observed (Ferrara et al. 2000). The online method used can accurately measure total Hg in NaHS concentrations up to 730 mg L−1. Analysis of QC standards directly following measurements of higher NaHS concentrations gave 90–110% recovery, which may indicate that the suppression observed is due to the interference in the release of Hg from solution rather than poisoning of the gold trap as recoveries improved instantaneously, even following 2,700 mg L−1 NaHS. Sulphur poisoning of the gold trap likely did not occur due to the use of a soda-lime trap inline, which captures acidic gases.
CONCLUSION
A new instrument for online monitoring of Hg in FGD wastewater has been successfully developed in house and on-site at a coal-fired power plant. The use of gold amalgamation, combined with the batch digestion approach, provides high sensitivity, allowing for low detection limits that can achieve the most demanding legislative value of 10 ng L−1. Results of the interference test and the validation against ISO 17852:2006 demonstrate the great robustness of the analyser, especially given the challenging nature of the FGD wastewater matrix, as well as its potential for alternative monitoring applications in future. The analysis method validated here has the capacity to generate two results per hour, which provides a good frequency of analysis for routine monitoring. However, the work here has demonstrated that the frequency may be improved to four results per hour after assessment of the matrix. The instrument also offers the ability to increase the quantity of reagents used for digestion if required.
ACKNOWLEDGEMENT
This research was financially supported by PS Analytical.
DATA AVAILABILITY STATEMENT
All relevant data are included in the paper or its Supplementary Information.
CONFLICT OF INTEREST
The authors declare there is no conflict.