Generang Quality Metals Data at Sites using Field-Portable XRF

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Genera&ng Quality Metals Data at Sites using Field-Portable XRF

Transcript of Generang Quality Metals Data at Sites using Field-Portable XRF

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Genera&ngQualityMetalsDataatSitesusingField-PortableXRF

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WhatisQualityData?

o  Qualitydataisofknownanddocumentedqualityappropriateforitsintendeduse.

o  Qualitydatacanthusincludebothscreeninganddefini&vedata,dependingontheenduseofthedata.

o  Field-portableXRFcangeneratebothscreeninganddefini&vedata,dependingontheinstrumenta&onused;andthesamplecollec&on,prepara&onandanaly&calproceduresemployed.

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HowDoWeDocumenttheQualityoftheData?o  Accuracy:Thedegreeofagreementofameasurementtoan

acceptedreferenceortruevalue.ü  AccuracyisdemonstratedbyuseofNIST-traceablecalibra8onchecks

andsplitswithoff-sitelaboratories,whereappropriate

o  Precision:Themeasureofvariabilitybetweenindividualsamplemeasurementsunderprescribedcondi&ons.ü  Precisionisdemonstratedbymeasuringaminimumof3replicate

samples,withagoalof%RSDsoflessthan20%ü  ThisisthesamecriteriausedinEPAMethods6010and6020

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HowDoWeDocumenttheQualityoftheData?o  Representa&veness:Thedegreetowhichdataaccurately

andpreciselyexpressacharacteris&cofapopula&on,parametervaria&onsatasamplingpoint,oranenvironmentalcondi&on.ü  Therobustsampleprepara8onstepsand“flipping”thesample

betweenreplicatesensuresthemethodprovidesdatathatisrepresenta8ve.

ü  Formalizedprepara8onandanaly8calrequirementsinwriQenSOPsalsoensuresrepresenta8vedata.

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KeyElementsofMethodology?

o  BasedonEPAMethod6200

o  ComprehensiveSOPscoveringbothsampleprepara&onandanalysis

o  Keyelementsofthemethodologyinclude:

ü  Prepara8onofthesamples

ü  Useofmul8pleNIST-traceablestandards

ü  Replicateanalysesofallsamples

ü  Monitoringof%RSDofkeyelements

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Innov-XAlpha4000HandheldXRFConvenienthandhelddetectorwithlimitsofdetec&on(LOD)wellbelowEPAMethod6200guidelines-----

10-40kV,10-50µAX-raytubeSiliconPINdiodedetector(<230eVresolu&on)

OlympusX-5000BenchtopXRFLowerLODandshorteranalysis&mesthantypicalhandhelddetector,duetoamorepowerfulx-raytubeandmoresensi&vedetector-----

50kV,200µAx-raytubeLarge-areasilicondri`detector(<165eVresolu&on)

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SampleCollec&onandProcessing

o  Collectrepresenta&vesamplesofthegeologicmaterials

o  Describethesamplesonthesamplecollec&onlogs

o  Forgranularsamples:

ü  Removevisibledebrisandnotedescrip&onofdebrisonthesamplecollec&onlogs

ü  Ifthesamplesarewet(>20%moisture),thendryinanonsiteovenü  Sievethesamplesusinga#10mesh(2mm)sievetoremoveorganic

materialsandsmallerdebrisü  Op&onally,furtherhomogenizethesamplesbycrushingandpassing

througha#100sieve(sameasrocksamplesonnextpage)

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SampleCollec&onandProcessing

o  Forsolidsamples,crushthesamplesusingaPlaenerMortar

o  Sievetopassa#100meshsievetohomogenizethesamples

o  Placethesamplesinsmallplas&cbagsforanalysis

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InstrumentStartupandCalibra&on

o  Powerontheunitandallowittowarmup

o  Standardizetheunitusinga“coin”ofknownmetalliccontent

o  Performanini&alcalibra&onverifica&on(ICV),consis&ngofreplicateanalysesof:

ü  Ablanksample(synthe8cquartz)

ü  Aminimumof2NISTtraceablestandardsofdifferenttargetanalyteconcentra8ons

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Con&nuingandEndingCalibra&on

o  Con&nuingcalibra&onverifica&ons(CCVs)areperformedduringtheday(typicallyat4-hourintervals)

o  AclosingCCVisperformedattheendofeachday

o  IfaCCVfails,samplesanalyzeda`erthelastsuccessfulCCVandpriortotheunsuccessfulCCVarereanalyzed

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SampleAnalysis

o  PlacethesampleontheXRFanalyzerandini&ateanalysis

o  3consecu&vemeasurementsareperformedforeachsample,flippingorrota&ngthesamplebagbetweeneachmeasurement

o  The%RSDforthe3replicatemeasurementsiscalculatedforeachtargetanalyte

o  Ifthe%RSDis>20%,anaddi&onal3replicatemeasurementsareperformed

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SampleAnalysis

o  Thereadingsforthe3measurementsisaveraged,andtheaveragedresultisusedasthereportedconcentra&onforthesample.

o  Forsampleswith2setsof3measurements,theaverageofthesetof3measurementswiththelowest%RSDforthetargetanalytesisselected

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ExampleDailyAnaly&calLogbook

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ExampleDailyAnaly&calSpreadsheet

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Representa&vePrecisionandAccuracyStudy

o  Mul&ple(9ormore)readingsofNISTstandard2710aweretakenusing3differentXRFinstruments:

ü  2Innov-XAlphahandheldunits(SN#6009and9767)

ü  1OlympusX-5000benchtopunit

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WhereHasXRFBeenUsed?

o  Gilbanehasemployedfield-portableXRFtocharacterizemetalsandmetalloidsingeologicmaterialsatmanysitesthroughouttheU.S.,including:

1)  leadinsoilsandsedimentatmuni8onsresponseareas(MRAs)

2)  arsenicandheavymetalsinrock,soilandsedimentataformernavalfacilityinmountainsofSouthernCalifornia

o  FortheSouthernCaliforniasite,field-portableXRFwassubjectedto3rdpartyvalida&onandyieldeddefini&vedataacceptedbystateregulatorstosupportsiteclosure.

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Example1–LeadinSoilatMRAs

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Representa&veResultsforLeadinSoil

Correlation Coefficient = 0.98

Theoretical 1:1 Line

XRF

Res

ults

(ppm

)

0

200

400

600

Laboratory Results (ppm)0 200 400 600

Joint Base Lewis-McChord, Washington

Correlation Coefficient = 0.96

Theoretical 1:1 Line

XRF

Res

ults

(ppm

)

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200

400

600

Laboratory Results (ppm)0 200 400 600

Davis-Monthan AFB, Arizona

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Representa&veResultsforLeadinSoilo  Over2,780samplesanalyzedatmorethanadozenac&ve

militaryfacili&esthroughouttheU.S.,withanaveragecorrela&oncoefficientof0.945

o  Siteswithsamplescontainingleadupto600ppm(1.5xtheRSL)exhibitedveryhighcorrela&on(0.9-1.0),andlow%RSD(<10%)

o  Siteswithsamplescontainingleadabove600ppms&llexhibitedhighcorrela&on(0.7-0.9),butwithmoderatetohigh%RSD(o`en>20%)

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Example2–ArsenicinGeologicMaterialsinCalifornia

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Representa&veResultsforArsenicinSoilandSedimento  ThreeroundsofonsiteXRFanalyses:

ü  ‘Screening’analysisduringremovalof10,000CYofcrushedrockbackfillimpactedwithorganicandinorganiccontaminants

ü  ‘Defini8ve’analysisduringgeochemicalstudyofbedrockfollowingcomple8onofNTCRA

ü  ‘Defini8ve’analysisduringgeochemicalstudyofsedimentsinadjacentreservoir

o  Limited‘confirma&on’analysesperformedduringgeochemicalstudies,duetoAsbeingpresentinresistantmineralphasesfromregionalhydrothermalmineraliza&on

o  EPAdiges&onmethodsonlyyield‘environmentallyavailable’metalsandmetalloids

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o  ‘Screening’performedusinghandheldXRF(Alpha)

o  Analysesperformedoncoa&ngspresentonrocksinfracturedbedrock

o  19samplesanalyzedforAsbyXRFandEPA6010,withacorrela&oncoefficientof0.97,with

o  Goodmatchwith1:1line

Correlation Coefficent = 0.97

Theoretical 1:1 Line

XRF

Res

ults

(ppm

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20

40

60

Laboratory Results (ppm)0 20 40 60

Arsenic in Mineral Coatings, Morris Dam, Southern California

Representa&veResultsforArsenicinMineralCoa&ngs

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o  ‘Defini&ve’analysisperformedusingbenchtopXRF(X-5000)

o  Analysesperformedoncoarse-grainedsediments

o  20samplesanalyzedforAsbyXRFandEPA6020,withü  poorcorrela8onü  Poormatchwith1:1line

o  However,poorcorrela&onwasexpectedbasedonothergeochemicalanalyses

Representa&veResultsforArsenicinSediment

Theoretical 1:1 Line

XRF

Res

ults

(ppm

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0

20

40

60

Laboratory Results (ppm)0 20 40 60

Arsenic in Sediment Samples, Morris Dam, Southern California

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Representa&veResultsforArsenicinSoilandSedimento  XRFanalysisofmineralcoa&ngsshowedveryhighcorrela&on

withEPAmethods

ü  Dueinlargeparttotheweatheredstateofthemineralcoa8ngs(hydrothermalmineralsarenolongerthedominantAs-bearingphase)

o  XRFanalysesperformedonsedimentsshowedpoorcorrela&on

ü  DuetothepresenceofhydrothermalmineralsasthedominantAs-bearingphase

o  PresenceofAsinhydrothermalmineraliza&onwasconfirmedbyop&calpetrography,x-raydiffrac&on,andelectronmicroprobe

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Conclusionso  FieldportableXRFisavaluabletoolforcharacterizingmetalsinavarietyofgeologicalmaterials

o  Systema&ctes&ngmethodologycanproducedataofknownanddocumentedqualityappropriateforavarietyofuses,includingevalua&onofhumanandecologicalrisk

Genera&ngQualityMetalsDatausingXRF

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!  JeffreyHess,PG,CEMDirector,[email protected]

! [email protected]