EnvironMonitAssess(2016)188:504 DOI10.1007/s10661-016-5477-y Determination of total arsenic and arsenic species in drinking water, surface water, wastewater, and snow from Wielkopolska, Kujawy-Pomerania, and Lower Silesia provinces, Poland IzabelaKomorowicz& DanutaBarałkiewicz Received:24March2015/Accepted:7July2016/Publishedonline:4August2016 #TheAuthor(s)2016.ThisarticleispublishedwithopenaccessatSpringerlink.com Abstract Arsenic is a ubiquitous element which may observed.However,insnowsamplecollectedinLegni- be found in surface water, groundwater, and drinking ca, more than 97 % of the determined concentration, water. Inhigherconcentrations, thiselementisconsid- amountingto81±11μgL−1,wasintheformofAs(III), eredgenotoxicandcarcinogenic;thus,itslevelmustbe themosttoxicarsenicspecies. strictlycontrolled.Weinvestigatedtheconcentrationof totalarsenicandarsenicspecies:As(III),As(V),MMA, Keywords Totalarsenic.Arsenicspecies.Speciation. DMA,andAsBindrinkingwater,surfacewater,waste- Water.ICP-MS.HPLC/ICP-MS water, and snow collected from the provinces of Wielkopolska, Kujawy-Pomerania, and Lower Silesia Abbreviations (Poland).Thetotalarsenicwasanalyzedbyinductively As(III) Arsenite coupledplasmamassspectrometry(ICP-MS),andarse- As(V) Arsenate nicspecieswereanalyzedwithuseofhigh-performance AsB Arsenobetaine liquid chromatography inductively coupled plasma CPE Cloudpointextraction mass spectrometry (HPLC/ICP-MS). Obtained results CRM Certifiedreferencematerial revealed that maximum total arsenic concentration de- DDTP Diethyldithiphosphate termined in drinking water samples was equal to 1.01μgL−1.Thehighestconcentrationoftotalarsenic DMA Dimethylarsenicacid insurfacewater,equalto3778μgL−1wasdetermined (dimethylarsinate) EDTA Ethylenediaminetetraaceticacid in Trująca Stream situated in the area affected by ETAAS Electrothermalatomic geogenic arsenic contamination. Total arsenic concen- absorptionspectrometry trationinwastewatersampleswascomparabletothose FI-HG-AAS Flowinjection-hydride determinedindrinkingwatersamples.However,signif- generationatomic icantly higher arsenic concentration, equal to 83.1±5.9μgL−1,wasfoundinasnowsamplecollected absorptionspectrometry FI-ICPMS Flowinjectioninductively inLegnica.As(V)waspresentinalloftheinvestigated coupledplasmamass samples, and in most of them, it was the sole species spectrometry GF-AAS Graphitefurnaceatomic : absorptionspectrometry I.Komorowicz (*) D.Barałkiewicz HG-AAS Hydridegenerationatomic DepartmentofTraceElementAnalysisbySpectroscopyMethod, absorptionspectrometry FacultyofChemistry,AdamMickiewiczUniversityinPoznań, 89bUmultowskaStreet,61-614Poznań,Poland HG-AFS Hydridegenerationatomic e-mail:[email protected] fluorescencespectrometry 504 Page2of22 EnvironMonitAssess(2016)188:504 HG-CT-AFS Hydridegeneration- TAs Totalarsenic cryotrappingcoupledto TMAO Trimethylarsineoxide atomicfluorescence USEPA USEnvironmental spectrometry Protection HG-CT-ICPMS Hydridegeneration- Agency cryotrappingcoupledto WDXRF Wavelength-dispersive inductivelycoupled X-rayfluorescence plasmamass spectrometry spectrometry WHO WorldHealth HG-ICP-AES Hydridegeneration Organization inductivelycoupled plasmaatomic/optical emissionspectrometry HPLC High-performance Introduction liquidchromatography HPLC/ICP-MS High-performance Arsenic iswidelydistributed insurface water, ground- liquidchromatography water,anddrinkingwater.Itsconcentrationindifferent inductively types of water varies considerably. In some cases, it coupledplasmamass significantly exceedsexpectedmeanvaluesforarsenic spectrometry and maximum permissible arsenic concentration iAs Inorganicarsenic allowed for drinkingwater, indicating a degreeof pol- ICP-AES Inductivelycoupled lution(Fowleretal.2007). plasmaatomicemission Arsenicpollutionisaworldwideproblemmanysci- spectrometry entists have repeatedly expressed concern about. As a ICP-MS Inductivelycoupled result, the biological and environmental consequences plasma of its contamination are being studied in detail. Al- massspectrometry thoughmostresearchersfocusonthearsenicoriginating ICP-SF-MS Inductivelycoupled from the natural sources, human activities (such as plasmasectorfield smelting of arsenic bearing minerals, the disposal of massspectrometry industrial waste, or burning of fossil fuels) can locally INAA Instrumentalneutron introduce a very high contamination (Bissen and activationanalysis Frimmel2003;Matschullat2000). LC Liquidchromatography Issue of great importance is presence of arsenic in LC-HGAFS Liquidchromatography groundwater used as a source of drinking water. In hydridegenerationatomic recent years, cases of arsenic pollution have been re- fluorescencespectrometry ported in many countries such as the USA, China, MDL Methoddetectionlimit Bangladesh,Pakistan,Taiwan,Chile,Argentina,Japan, MMA Monomethylarsenicacid Turkey,Thailand,Mexico,Vietnam,andIndia(Simsek (methylarsonate) 2013;HeandCharlet2013;Sorgetal.2014;Smedley n.d. Notdetected andKinniburgh2002;Bergetal.2001;Gammonsetal. ORS Octopolereactionsystem 2005,Brahmanetal.2013).Duetopermanentexcessive PAs Particulatearsenic levelofarsenic,somecountries,includingBangladesh, SPE Solid-phaseextraction Mexico, Vietnam, and India, have considerably raised SPE-DLLME- Solid-phaseextraction itslevelindrinkingwater.Itispresumedthataround40 SFO coupledwithdispersive millionpeopleinBangladeshliveatimmediateriskdue liquid–liquid to arsenic pollution (Bissen and Frimmel 2003). An microextraction analysisof20,000tube-wellwatersindicatedthatarse- basedonthesolidification nic levels in drinking water are above the maximum offloatingorganicdrop permissible concentration limit of 10 μg L−1 (WHO EnvironMonitAssess(2016)188:504 Page3of22 504 2011) in case of 62 % of tube-well waters. In some of this element (Cornelis et al. 2005; Brahman et al. places, its concentration was as high as 3700 μg L−1 2013). Although there isa vast amountof information (Bagla and Kaiser 1996). There are also many papers onthe occurrenceand concentration of total arsenic in reportingsimilararsenicconcentration,reachingseveral different types of water, the data on the speciation of thousandμgL−1(Bergetal.2001;Brahmanetal.2013; arsenic are limited (Sorg et al. 2014; Haque and Smedley et al. 2002; Farnfield et al. 2012; Gammons Johannesson 2006). The shortage of information on et al. 2005; Aiuppa et al. 2003; Bednar et al. 2004). It the speciation of arsenic may be partially attributed to has been estimated that as many as 60–100 million thecomplexity,cost,andtimeneededtoperformarsenic peoplegloballymaybeatriskofexposuretoexcessive speciationanalyses(Sorgetal.2014).Nevertheless,itis levelsofarsenic(Ngetal.2003).Sincearseniccontam- essential to develop sensitive and precise analytical inationprovidessuchahugeprobleminmanyplacesin procedures to identify and quantify arsenic species in theworld,itisworthtomentionthatvariousmethodsof water(Baigetal.2010;HirataandToshimitsu2005). itseliminationfromtheaqueousenvironmentsareavail- The USEPA has elaborated a document reviewing able.Besidesconventionalremediationtechniquessuch the science and technologies for monitoring arsenic in asosmosis,ionexchange,orelectrodialysis,forremov- theenvironment(USEPA2004).Themethodsapproved ingmetalormetalloidsfromwater,biosorptionischar- by USEPA include inductively coupled plasma-mass acterizedbythesignificantdevelopmentinrecentyears spectrometry (ICP-MS), inductively coupled plasma [Basuetal.2014;Abidetal.2016].Oneofthegreatest atomicemissionspectrometry(ICP-AES),graphitefur- advantages of this process is material of biosorbent, naceatomicabsorption(GFAAS),andhydridegenera- which is easy and commonly available, and inexpen- tion atomic absorption spectrometry (HGAAS), all of sive. A lot of different agricultural and food-industry whichmaybecharacterizedbymethoddetectionlimits biowastessuchascoconutshell,coconutcoirpith,man- (MDL) ranging from 0.5 to 50 μg L−1 (USEPA 1999; goleaf,ricepolish,orteawastehavebeenexaminedas Ma et al. 2014). The choice of an adequate analytical potentialbiosorbentsforAs-contaminatedwater.These method is dictated by the purpose of our analysis, the variousapproachesarewidelydiscussedinthepaperof levelofanalyte’sconcentrationinconcretematrix,and Shakoor et al. (2016). One of the most recent paper thetypeofcompoundinwhichanalyteispresent.The concerns As(V) biosorption with application of food most often applied strategy is connection of HPLC processing biowastes, more specifically orange peel separation with ICP-MS detection (Komorowicz and biowaste. This research revealed that with use of Baralkiewicz 2014; Bednar et al. 2004; Shraim et al. charged orange peel, it was possible to remove 98 % 2002;Dengetal.2009;Jabłońska-Czaplaetal.2014)or of As(V) from the solution containing 200 mg L−1 of AFSdetection(Yuetal.2014;Gongetal.2006;Keller As(V)using4gL−1ofbiosorbent[Abidetal.2016]. etal.2014;Fariasetal.2015).CouplingofHGsystem Inmostaquifers,bio-geointeractionsprobablydom- toAAS(Bergetal.2001;Affumetal.2015);ICP-MS inateasthesourceofarsenic.Interactionofarsenicwith (Musiletal.2014),ASF(Aiuppaetal.2003;Dengetal. organic and mineral colloids can elevate its concentra- 2009; Musil et al. 2014), or ICP-AES (Smedley et al. tion(HeandCharlet2013).Arseniccanexistinwaterin 2002) is also quite popular. There are either reports severalorganicandinorganicforms.Speciationofarse- about application of SPE system used for separation nicdependsonpH,salinity,aciddissociationconstantat purposes before detection by WDXRF, ICP-MS, logarithmicscale(pK ),andredoxpotential(Sugáretal. DLLME-SFO, GF-AAS, and ETAAS (Brahman et al. a 2013).Thetoxicityofarseniccompoundsdecreasesin 2013;Baigetal.2010;Shamsipuretal.2014;Pengetal. the following order: arsines > inorganic arsenites > 2015;Hagiwaraetal.2015). organictrivalentcompounds(arsenooxides)>inorganic Although a variety of analytical techniques have arsenates>organicpentavalentcompounds>arsonium beenalreadyappliedforarsenicspeciesdetermination, compounds>elementalarsenic(Adriano2001;Fowler as mentioned, HPLC separation which is followed by 1983; Mandal and Suzuki 2002). Arsenobetaine and ICP-MS or HG-AFS undeniably belong to the most arsenocholineareconsideredasnontoxic(Komorowicz often used hyphenated techniques. ICP-MS technique andBarałkiewicz2011). is mostcommonly applied for speciation analysis, and Itiswellknownthattoxicologicalandenvironmental this tendency is expected to continue to grow as the impactofarsenicstrictlydependsonthechemicalform required instrumentation becomes more widely 504 Page4of22 EnvironMonitAssess(2016)188:504 available. Said method provides reliable quantitative Kaczawa River Kaczawa is the left-bank tributary of data for arsenic species at environmentally relevant Odra River. Water supply point of drinking water for levels in diverse matrices (Ma et al. 2014) as well as thecityofLegnicaissituatedontheKaczawaRiver,in othersignificantadvantages.Theseincludetheexcellent Smokowice.UppercourseoftheKaczawaRiverflows separating power of HPLC, associated with a high de- through farmlands; its lower and middle course flows greeofelementspecificityandverylowdetectionlimits throughindustrially-agriculturalareas,whichmakesthe of the ICP-MS technique. HPLC/ICP-MS can detect riverexposedtoimpuritiesflowingfromthefarmlands arsenicininorganicandorganicformswithhighpreci- and cultivated fields. Supplies of the Kaczawa River sion. Additionally, this systemistotally integratedand may also be a great source of contamination (RRIEP automated (Liévremont et al. 2009; Tomlinson et al. 2006). 1995). The objective of this study was to determine total TrującaStream TheNysaKłodzkaRiveristhelargest arsenic and arsenic species concentration in drinking river of the Kłodzko Basin, and it starts in the Lower water, surface water, wastewater, and snow samples Silesia province. Nysa Kłodzka River enters Lower collected from Wielkopolska, Kujawy-Pomerania, and Silesiaprovincebelowaconfluencepointwithanoutlet Lower Silesia provinces located in Poland. The last of the Trująca Stream and above the Otmuchowski mentioned province is the As-affected area known for Reservoir.TheNysaKłodzkaRiverinitsuppercourse geogeniccontaminationwiththiselement. flowsthroughmountainousareas,functioningmainlyas atouristarea.Theriveranditssuppliescollectthewater from nature preservation areas as well as from farm Experimental areas. There are industrial plants working in the river catchmentarea(RRIEP2006). Samplingsites Samples were collected in the area of Poland from Snow provinces of Wielkopolska, Kujawy-Pomerania, and LowerSilesia.Samplecollectionlocationsarepresented Snow samples were collected in the city of Legnica indetailonthesamplingmapofstudyarea(Fig.1).One situated in the Lower Silesia province and in the city sampleateachsamplingpointwascollected.Intotal,23 of Poznań situated in the Wielkopolska province. The samples of drinking water, surface water, wastewater, LowerSilesiaprovinceisanarearecognizedassignif- and snow were submitted to analysis, three replicate icantly richer in arsenic in comparison to other prov- measurementsofeachweremade. inces.During its history, a goldminewas operating in ZłotyStokCity(LowerSilesia).Apartfromgoldmin- Drinkingwaterandwastewater ing, mine also produced an arsenic trioxide from the local ore (www.kopalniazlota.pl/pl/historia/historia- Drinkingwaterandwastewatersampleswerecollected kopalni-zlota). Aforementioned sample was collected from places located in three different provinces of Po- near the copper smelter and the refinery located near land:Wielkopolska,Kujawy-Pomerania,andLowerSi- cityofLegnica.Secondsampleofsnow,collectedfrom lesia.Sampleswerecollectedatpointsofwaterintake, thecenterofPoznań,maybetreatedasacontrolsample. fromwatertreatmentstationsormunicipalsewagetreat- Samplecollectionandpreparation. mentplants. All samples were collected in polyethylene bottles previously cleaned with metal-free detergent, rinsed Surfacewater with deionized water, then soaked in 5 % nitric acid for 24 h and finally rinsed once again with deionized SurfacewatersampleswerecollectedfromLowerSile- water. After collection, samples were promptly siaprovince,whichistheregiondefinitelymuchricher transportedinacool-boxtothelaboratory.Totalarsenic in arsenic than Wielkopolska or Kujawy-Pomerania. and arsenic species determination were followed by Samples were taken from the Kaczawa River and the waterqualityparameter’sinvestigation(pH,conductiv- TrującaStreamfromfewdifferentlocations. ity, COD, BOD, TOC) and determination of major EnvironMonitAssess(2016)188:504 Page5of22 504 Inowrocław Kujawy- Pomerania province Wągrowiec Szamotuły Wielkopolska POLAND province Koziegłowy Gniezno Poznań Jarocin Krotoszyn Lower Silesia province Złotoryja drinking water Legnica Wojcieszów Górny surface water Kaczawa River Świerzawa wastewater Wałbrzych Złoty Stok snow Trująca Stream Fig.1 Samplingmapofstudyarea inorganicions(Ca2+,Mg2+,Na+,K+,Cl−,SO2−,PO3−, samplemelted,thewaterwhicharosefromthemelting 4 4 NO−) concentration. Results regarding water quality snowwassampled. 3 parametersand basic anions and cations werepartially providedbywatertreatmentstationsormunicipalsew- Instrumentation age treatment plants, from where some of the samples had been collected. For measurements aiming at the ELAN DRC II ICP-MS (PerkinElmerSCIEX, Ontario, determination of total arsenic concentration, samples Canada)wasusedfortotalarsenicdeterminationaswell wereacidifiedwith125μLofnitricacid(suprapurnitric as for arsenic species determination. In case of specia- acidof65%(v/v))oneach125mLofsample.However, tionanalysis,ICP-MSwashyphenatedwithHPLCsys- forarsenicspeciationanalysissampleswereimmediate- tem.Tocollectthedata,ionsofarsenicatmasstocharge lyfrozenand thawedjustbeforethe analysis. Samples ratio(m/z+)75weremonitored.HPLCsystemconsisted werethenfilteredthroughsyringefilterswithaporesize ofaPerkinElmerSeries200HPLCPump,PerkinElmer of0.45μm.Thesnowsamples(LowerSilesiaprovince Series 225 HPLC Autosampler and a Perkin Elmer andWielkopolskaprovince)werecollectedtothepoly- Series 200 Column Oven. Autosampler was equipped ethylenebottleswithuseofpolyethylenespatula.They withaPeltierCoolingTrayinordertokeepthesample weretakenfromthesurfaceand2cmdeepintothesnow temperature equal to4 °C. The anion exchangeHPLC layer,sonotonlythedarklayeroftheatmosphericdust columnPRP-X100(4.6×150mm)wasusedforarsenic butalsocleansnowunderneathwascollected.Afterthe speciesseparation.Thecolumnwaspackedwith5μm 504 Page6of22 EnvironMonitAssess(2016)188:504 particles of styrene divinylbenzene copolymer with Total arsenic concentration was determined accord- trimethylammoniumexchangesitesinPEEKhardware ingtoISO17294–2(2003)standard;however,concen- (Hamilton Company, Bonaduz, Switzerland). Applied tration of arsenic species was determined according to columnenabledtoseparatefivearsenicspeciesin7min methodologydevelopedandfullyvalidatedinourlab- usingoptimizedHPLCconditions.Arsenicspecieselut- oratory(KomorowiczandBaralkiewicz2014). ed in the following order:AsB, As(III),DMA, MMA, andAs(V). Reagents TheoutletoftheHPLCcolumnwasconnectedviaa switch, directly to the nebulizer of the ICP mass spec- Chemicalsandreagentsusedfortotalarsenicsolutions trometer.ThedatawerecollectedusingChromerasoft- and arsenic species (inorganic: arsenite (As(III)), and ware(PerkinElmerSCIEX,Ontario,Canada).Operating arsenate (As(V)); organic: arsenobetaine (AsB), conditions and optimal values of HPLC and ICP-MS monomethylarsenic acid (MMA), and dimethylarsenic parametersarepresentedinTable1. acid(DMA))solutionspreparation,saltsusedformobile phasepreparation,buffersolution,reagentsusedforpH adjustment,aswellasotherchemicalsusedthroughout the experiment, were described in details in the previ- Table1 OperatingconditionsforHPLCandICP-MSsystems ously published work (Komorowicz and Baralkiewicz Parameter Setting 2014).Particularsteps of bothanalyticalprocedures— for total arsenic determination and for arsenic species HPLC determination—arepresentedontheFig.2intheform Instrument PESeries200HPLCPump, ofdiagram. PESeries225HPLC AutosamplerandPESeries Figuresofmerit 200ColumnOven Column HamiltonPRP-X100 Alotofinformationinthescientificfieldismadeonthe Elution Isocratic basisofanalyticalmeasurements.Ensuringthatobtain- Mobilephase Ammoniumdihydrogen phosphate,ammonium edanalyticalresultsarereliableisextremelyimportant nitrate therefore the process of quality control is a significant Concentrationofmobilephase 0.01mol step of each analytical procedure (Konieczka and pH 9.2±0.1 Namieśnik 2010). In our work, the analytical proce- Flowrate 1.0mLmin−1 dures,for totalarsenic determination byICP-MS tech- Injectionvolume 75μL niqueandarsenicspeciesdeterminationbyHPLC/ICP- Columntemperature 25°C MStechnique,werecharacterizedbythefollowingpa- ICP-MS rameters:selectivity,linearity,limitofdetection,limitof Instrument PESciexELAN6100DRCII quantification,precision,andtrueness.Traceabilitywas RFpower 1250W assured by analysis of certified reference material and Nebulizergasflow 0.95Lmin−1 analysisofspikedsamples,fortotalarsenicandarsenic Auxiliarygasflow 1.375Lmin−1 species, respectively. Measurement uncertainty of the Plasmagasflow 14.5Lmin−1 analytical result for total arsenic and for each arsenic specieswasassessedbythemodelingapproachaccord- Samplerandskimmercones Pt ing to the Guide to the Expression of Uncertainty of Lensvoltage 9.75V Measurement (GUM 1993; Konieczka and Namieśnik Detectormode Dual(pulsecountingand analogmode) 2010). Validation parameters together with uncertainty Datacollectionmode 75As+ for total arsenic and arsenic species are presented in Scanmode Peakhopping Table2. Dwelltime 250ms Total arsenic Total arsenic concentration was deter- Sweeps 1 mined with ICP-MS technique according to validated Reading 2362 methodology described in ISO 17294–2 (2003) EnvironMonitAssess(2016)188:504 Page7of22 504 Fig.2 Diagrampresentingthe Drinkingwater stepsofanalyticalprocedures Wastewater Sample collection Surfacewater Snow Waterquality parameters investigation Sample Acidificationincaseof preparation totalAs/freezingincaseof arsenicspecies Filtration ICP-MSparameters optimization Total As Determinationaccording to determination ISO 17294–2 standard by ICP-MS Analyticalprocedure validationand uncertainty estimation HPLC parameters As species optimization determination Analyticalprocedure by HPLC/ICP-MS validationand uncertainty estimation Result standard. The calibration curve for total arsenic was (n = 10) and certified value of the mentioned certified constructedataconcentrationrangeof0.2–20.0μgL−1. reference material. Obtained value was equal to In order to verify the linearity of calibration curves, 0.4176 ± 0.0071 μg L−1; however, certified value approachbasedondrawingagraphofconstantresponse amountedto0.413±0.039μgL−1.Calculatedrecovery for y/x values (wherey denotes the instrumentalsignal wasequalto101.1±1.7%,whichconfirmsthatsample and x is the concentration of analytes in the standard matrix influence is negligible. Combined uncertainty of solution) with acceptable deviation within ±5 % was totalarsenicwasestimatedtakingintoconsiderationthe applied. The chosen operating range for each of the following sources of uncertainty: measurement repeat- calibration curves was statistically verified by checking ability, calibration, and recovery. Expanded uncertainty the homogeneity of variances using Snedecor’s F test. (U[%],k=2)estimatedfortotalarsenicusingBbottom- Precision calculated by analysis of CRM of river water up^approachwasequalto7.1%.Itmaybeappliedtothe SLRS-5 (National Research Council Canada, Ontario, concentrationrangeof0.2–20.0μgL−1. Canada) amounted to 1.7 % (n = 10). The traceability forthetotalarsenicmeasurementwasassessedbydeter- Arsenic species Arsenic species concentration was de- mining the % bias between the measured concentration termined by commercially available HPLC/ICP-MS 504 Page8of22 EnvironMonitAssess(2016)188:504 Table2 CharacteristicsoftheanalyticalproceduresoftotalarsenicdeterminationandfivearsenicspeciesdeterminationinwaterbyICP- MSandHPLC/ICP-MS,respectively Analyticalprocedureparameters Measurementresult TotalAs AsB As(III) DMA MMA As(V) Retentiontime(min) – 1.7 2.1 2.4 4.2 6.3 Linearrange(μgL−1) 0.2–20.0 0.2–10.0 0.2–10.0 0.2–10.0 0.2–10.0 0.2–10.0 Correlationcoefficient 0.9999 0.9997 0.9998 0.9999 0.9998 0.9998 LOD(μgL−1)a 0.069 0.074 0.074 0.070 0.13 0.11 LOQ(μgL−1)b 0.21 0.22 0.22 0.21 0.39 0.33 Precision/retentiontime(%,CV) – 0.53 0.56 0.68 0.69 0.21 Precision/concentration(%,CV) 1.7 2.4 2.0 1.6 2.3 1.6 Recovery(%) 101 99 100 100 98 101 Uncertainty(%) 7.1 12.0 13.0 5.6 9.6 8.6 Parameterswerecalculatedasameanvaluefromtenreplicatedmeasurements aLODwascalculatedasthreetimestheSDfromtheblanksamples(n=10)withtheadditionofthearsenicconcentration,whichwascloseto theexpectedLODvalue bLOQvalueswerecalculatedasthreetimestheappropriateLODvalues techniqueaccordingtodevelopedandfullyvalidatedin of total arsenic was found in a sample collected in ourlaboratorymethodologydescribedpreviously(ISO/ Wałbrzych—0.249±0.018μgL−1. IEC 2005; Komorowicz and Baralkiewicz 2014). BIn- Surface water samples were collected from the house^ traceabilitydefined as truenesswas assured by Kaczawa River and the Trująca Stream situated in the analysisofspikedsamples.Uncertaintybudgetforeach Lower Silesia province. Samples from the Kaczawa arsenicspecieswasestimatedaccordingtothebottom- River were taken at three different points (from upapproach(GUM1993). WojcieszówGórny;aboveŚwierzawaCity;fromwater intakeforLegnicacity).Obtainedresultsoftotalarsenic concentration for mentioned samples ranged from 0.928 ± 0.066 to 2.84 ± 0.20 μg L−1. However, total Resultsanddiscussion arsenicconcentrationinTrującaStreamwasfoundtobe much higher than these determined in Kaczawa River. TotalarsenicconcentrationinwatermediaofPoland Inthiscase,sampleswerecollectedattwopoints.The firstsamplewascollectedfromtheupperreachesofthe Table3presentstheconcentrationofTAsandspeciated TrującaStream,justabovetheZłotyStokCity.Second arsenicindrinkingwater,surfacewater,wastewater,and sample was taken close to the bridge located on the snow in provinces of Wielkopolska, Kujawy-Pomera- Błotnica-Topola road, at the close of a uniform water nia, and Lower Silesia. Results obtained for drinking body. Obtained results were as follows: 10.94 ± 0.78 water samples confirmed that total arsenic level was and 3778 ± 268 μg L−1. Such a high concentration of significantly lower than 10 μg L−1 which is the maxi- totalarsenicinthesecondsamplefromTrującaStream mum permissible concentration of arsenic in drinking must be caused by the local geochemical structure, water,accordingtoguidelinesoftheWorldHealthOr- which includes deposits of arsenic. Złote Góry massif, ganization(WHO2011),theUSEnvironmentalProtec- withinTrującaStreamislocated,ismostlycomposedof tion Agency (USEPA 2009) and European Union mica slates of Proterozoic era relatively of the Lower (Official Journal of the EU 1998). In the majority of Cambrian. Among them, there are slots of crystalline the drinking water samples, collected from regions of dolomite limestone with arsenic ores. In this area, the Wielkopolska,Kujawy-Pomerania, aswellasfromthe contact deposit with intrusive-hydrothermal character areaofLowerSilesia,concentrationoftotalarsenicwas appears. Changes of dolomitic limestone in fine- significantlybelow1μgL−1.Thehighestconcentration grained diopsidic rocks through supplying the silica EnvironMonitAssess(2016)188:504 Page9of22 504 ConcentrationofTAs(c±U)−μ1)(k=2)(gL 0.236±0.017 1.010±0.072 0.435±0.031 0.525±0.037 <LOD 0.180±0.013 0.141±0.010 0.1210±0.0087 0.249±0.018 1.53±0.11 2.840±0.202 0.928±0.066 10.94±0.78 3778±268 0.351±0.025 0.363±0.026 0.1020±0.0072 0.324±0.023 0.150±0.011 0.780±0.074 1.82±0.13 83.1±5.9 <LOD forCRMSLRS- 3) 0 4 9 3 9 3 29 3 8 9 3 5 2 As extendeduncertainty(n= RSSSAs(V) 40.241±0.0210.463±0.04 41.052±0.0902.10±0.18 70.451±0.0390.971±0.08 50.433±0.0370.690±0.05 5<LOD0.263±0.02 50.192±0.0160.452±0.03 30.152±0.0130.381±0.03 60.1024±0.00880.370±0.03 30.263±0.0230.501±0.04 30.959±0.0822.02±0.17 2.57±0.224.49±0.39 30.971±0.0841.92±0.17 10.19±0.8815.0±1.3 3775±32458.4±5.0 70.370±0.0320.908±0.07 50.2410±0.0210.456±0.03 40.942±0.0811.98±0.17 50.231±0.0200.503±0.04 30.162±0.0140.402±0.03 40.782±0.0671.81±0.16 1.18±0.102.23±0.19 1.81±0.1622.4±1.9 4<LOD0.256±0.02 V);certifiedvalueoftotal entedwith SS 0.245±0.02 0.983±0.09 0.491±0.04 0.262±0.02 0.262±0.02 0.260±0.02 0.241±0.02 0.274±0.02 0.244±0.02 0.973±0.09 1.96±0.19 0.971±0.09 5.05±0.48 18.7±1.8 0.485±0.04 0.263±0.02 0.978±0.09 0.257±0.02 0.241±0.02 0.981±0.09 1.26±0.12 19.5±1.9 0.247±0.02 −1forAs( s L amplespre RSMMA <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD <LOD 0.281±0.027 <LOD <LOD μd0.11g s n gwater,surfacewater,wastewater,andsnow −μ1senicspecies(c±U)(gL)(k=2) RSSSRSSSAs(III)DMA <LOD0.260±0.034<0.254±0.014LOD<LOD0.98±0.13<LOD1.011±0.057 <LOD0.511±0.066<LOD0.512±0.029 0.121±0.0160.340±0.044<LOD0.262±0.015 <LOD0.240±0.031<LOD0.253±0.014 <LOD0.252±0.033<LOD0.250±0.014 <LOD0.261±0.034<LOD0.242±0.014 <LOD0.250±0.033<LOD0.262±0.015 <LOD0.250±0.033<LOD0.241±0.013 0.540±0.0701.58±0.21<LOD0.982±0.055 0.191±0.0252.09±0.27<LOD2.02±0.11 <LOD1.04±0.14<LOD1.006±0.056 0.342±0.0445.17±0.67<LOD5.03±0.28 <LOD18.4±2.4<LOD19.5±1.1 <LOD0.521±0.068<LOD0.503±0.028 0.153±0.0200.422±0.055<LOD0.258±0.014 <LOD1.010±0.13<LOD1.009±0.057 0.111±0.0140.333±0.043<LOD0.249±0.014 <LOD0.242±0.031<LOD0.251±0.014 <LOD0.98±0.13<LOD0.993±0.056 0.416±0.0541.48±0.19<LOD1.014±0.057 81±1142.0±5.5<LOD19.6±1.1 <LOD0.255±0.033<LOD0.252±0.014 −−μμ11gLforDMA,0.13gLforMMA,a Table3Concentrationoftotalarsenicandarsenicspeciesindrinkin ConcentrationofarSamplesSpike−μ1)(gLRSSSAsB Drinkingwaterł1Szamotuy0.25<LOD0.242±0.029 ł2Inowrocaw1.0<LOD0.97±0.12 3Gniezno0.5<LOD0.480±0.058 4Jarocin0.25<LOD0.251±0.030ą5Wgrowiec0.25<LOD0.245±0.029 6Krotoszyn0.25<LOD0.262±0.031ł7Zotoryja0.25<LOD0.231±0.028 8Legnica0.25<LOD0.253±0.030ł9Wabrzych0.25<LOD0.241±0.029 Surfacewater 10Kaczawa1.0<LOD1.02±0.12River(WojciechówGórny)—11KaczawaRiverabove2.0<LOD1.97±0.24Świerzawa—12KaczawaRiverwaterintakeforLegnica1.0<LOD0.99±0.12ą—13TrujcaRiverbeforewastewaterinlet5.0<LOD4.96±0.60ą—14TrujcaRiverafterwastewaterinlet20.0<LOD21.3±2.6 Wastewaterł15Inowrocaw0.5<LOD0.513±0.062 16Krotoszyn0.25<LOD0.249±0.030ł17Szamotuy1.0<LOD1.02±0.12 18Jarocin0.25<LOD0.228±0.027ą19Wgrowiec0.25<LOD0.248±0.030 20Gniezno1.0<LOD0.98±0.12ł21Koziegowy1.0<LOD0.97±0.12 Snow 22Legnica20.0<LOD20.8±2.5ń23Pozna0.25<LOD0.242±0.029 −−μμ11LODvalues:0.074gLforAsB,0.074gLforAs(III),0.070−−—μ—μ1150.413±0.039gL,obtainedvalue0.4176±0.0071gL RSrealsample,SSspikedsample 504 Page10of22 EnvironMonitAssess(2016)188:504 occurred during neighboring syenite intrusion. After- sedimentationtankrefinedwastewaterisreceived.Ob- ward,diopsidicarsenicandgoldrockswereintroduced tainedwastewaterhasreducedcontentofcontaminants by hydrothermal silica. This process occurred funda- byapproximately90to96%,andinthisform,itgetsto mentally in contact rocks (http://zlotystok.salwach. the channel which drains it to the Trująca Stream. pl/przemysl/wydobycie_rud_arsenu). Deposits of Hence,thewastewaterintroducedtotheTrującaStream arsenic were primarily exploited in the area of Złoty couldnothaveconsiderableimpactonincreaseofarse- Stok. While exploitation of arsenic ores, another nicconcentrationinitswater,sohighconcentrationsof deposit was found—gold. Gold, associated with the arsenic in this region are due to its geogenic occurrence of arsenic ore, was most likely discovered characteristics. intheseventhcentury,andtheoldestrecordofmining Total arsenic concentration in the wastewater sam- operationsconductedherefromthethirteenthcentury.It ples collected in the Wielkopolska and Kujawy- is thus the oldest gold mine in Poland, where the Pomerania was comparable with results obtained for exploitation of ore arsenic and recovery of gold drinkingwatersamples.Thehighestconcentrationwas continued until 1962 (http://www.kopalniazlota. determined in a sample collected from the wastewater pl/pl/historia/historia-wydobycia-zlota). According to treatment plant in Koziegłowy in which concentration opinion placed in the report about quality of rivers of ofthiselementwasequalto1.82±0.13μgL−1. Lower Silesia province prepared by Regional Snowsamplesfromtwoprovincesweresubmittedto Inspectorate of Environmental Protection in Wrocław, analysis. The first one was collected in the city of the wastewater from mechanical-biological sewage Legnica situated in Lower Silesia province. Sampling treatment plant in Złoty Stok City, as well as from point was situated near the copper smelter and the mechanical-biologicalsewagetreatmentplantofMate- refinery. Sample was characterized by a dark layer of rial and Paint Plant is released to the Trująca Stream atmospheric dust localized on its surface. Analysis re- (RRIEP 2006, RIEPW 2001). However, in the plants vealed high concentration of arsenic equal to mentioned above the wastewater comes under many 83.1 ± 5.9 μg L−1. Almost all of arsenic in mentioned processes and after sedimentation of deposit in the sample(97%)wasintheformofAs(III),themosttoxic Fig.3 TotalarsenicconcentrationindifferentsampletypesdeterminedbyICP-MSmethod
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