curent status and future perspectives in terms of trace ... · iupac technical report: «...
TRANSCRIPT
PetruJitaru
French Agency for Food, Environmental and Occupational Health & Safety (ANSES) Head of unit “Trace Metals and Minerals” / Department of food chemical contaminants Laboratory for food safety / Department of food chemical contaminants 14, Pierre & Marie Curie, F-94701 Maisons-Alfort, France Phone (office) : +33. 1. 49.77.28.43; E-mail : [email protected]; Website : www.anses.fr
Curent status and future perspectives in terms of
trace elemental speciation analysis in food products
== TEAM ==
Rachida Chekri Axelle Leufroy Nathalie Marchond Claude Chafey Julie Zinck Cristian Testu Alin Dirtu (post-doc) Lucas Givelet (PhD student) Marina Saraiva (PhD student) Micheline Ghosn (PhD student) Marian Ribeiro Mendes (PhD student) Clémence Laurent (technician) Hanae Belmir (Master student) Thierry Guérin - head of department
PARTI.BRIEFOVERVIEWREGARDINGOFICIALANALYSESOFFOODPRODUCTS
PARTII.SPECIATIONANALYSISAPPLIEDTOFOODSTUFF
PARTI.
BRIEFOVERVIEWREGARDINGOFICIALANALYSESOFFOODPRODUCTS
1)Qualitycontrol(rawmaterialsandfoodproducts)
(2)NutriMon(biomedical…)
(3)AuthenMcity/fraudassessement
(4)Control/surveillanceplans⇒oficialanalysesatEUornaMonallevel
…
DIFFERENTSTYPESOFCHEMICALFOODANALYSIS
Europeanreferencelaboratory(EURL)
CoordinaMonoftheNaMonalReference
Laboratories(NRL)
CoordinaMonofthelocal
(rouMne)laboratoriesNetworkofrou,neFrenchlaboratoriesfor
tracemetalsinfoodofanimalorigin
FordeclaraMonsofconformity,theexpandeduncertainty(k=2)issubtracted
fromtheresult.
Acloserlookatofficialanalysesoffoodproducts
A lot/sublot is refused if the analyMcal result of the laboratory sample
undoubtedly exceeds the applicablemaximum level set by the European
RegulaMon, taking into account the wider measurement uncertainty (EC
RegulaMonN°333/2007).
Officialanalysisofafoodproducts⇒declaraMonofconformityisissued.
Reportedresultofanofficialanalysis⇒ " −$
Uisover-esMmated⇒trueresult⇒healthriskforthepopulaMon
Uisunder-esMmated⇒trueresult⇒economicimpact(destrucMonoflotsoffoodproducts,etc.
TheCompliance/non-complianceofan“official”resultmaybebiasedbyaproblemrelatedto:
1)Accuracy
2)Uncertainty(especiallyinthecaseofresultsclosetothemaximumadmissiblelevel/regulatedvalue)
PropervalidaMonofanofficialmethod(includingtheassessmentofuncertainty)isfundamentaltoobtainreliablemeasurementsof
chemicalcontaminantsinfoodproducts.
IUPACTechnicalReport:«HarmonizedguidelinesforsinglelaboratoryvalidaAonofmethodsofanalysis»,PureAppl.Chem.,2002,74(5),835-855.Methodvalida,onmakesuseofasetofteststhatbothtestanyassump,onsonwhichtheanaly,calmethodisbasedandestablishanddocumenttheperformancecharacteris,csofamethod,therebydemonstra,ngwhetherthemethodisfitforapar,cularanaly,calpurpose.
MethodvalidaMon…
ISO/IEC17025:2005cl.5.4.5.1(Valida,onofmethods)Valida,onistheconfirma,onbyexamina,onandtheprovisionofobjec,veevidencethatthepar,cularrequirementsforaspecificintendedusearefulfilled.
METHODVALIDATIONIMPLIESACOMPARISONOFTHEANALYTICALPERFORMANCESWITHTHECUSTOMER’SREQUIREMENTS!
Mainparameterstobevalidatedfortheassessmentofmethod’sfitness-for-purpose:
(1) Trueness:accuracy+precision
(2) Uncertainty
(3) Detec,on&quan,fica,onlimits(LOD,LOQ)
(4) Selec,vity
(5) Ruggedness…
(1)LOQandLOD
Matrix
LOQ(mg/kg)
Asi
Pb Cd Hg
Fish/seafruits - ≤0.06 ≤0.02 ≤0.1-0.2
Meat - ≤0.02-0.1 ≤0.02-0.2 -
Milk - ≤0.013 - -
Honey - ≤0.02 - -
Rice ≤0.02-0.06 - - -
EU(“customer”)requirementsformethodstobeusedforoficialanalysesintermsoftracemetalsinfood
Parameter
(mg/kg)
Pb As-Cd-Hg
ML ≤0,01 >0.01and≤0.02 >0.02and<0.1 ≥0.1 <0.10 ≥0.10
LOQ ≤ML ≤2/3×ML ≤2/5×ML ≤1/5×ML ≤2/5×ML ≤1/5×ML
LOD ≤ML ≤2/10×ML ≤3/25×ML ≤3/50×ML ≤3/25×ML ≤3/50×ML
(2)Uncertainty
Anofficialmethodforfoodcontrolmustprovideacombineduncertainty<umax
c(mg⋅kg-1) α ≤0.05 0.20
0.051-0.5 0.18 0.501-1.0 0.15 1.001-10 0.12 >10 0.10
( )22
max 2u cLOD
α+⎟⎠
⎞⎜⎝
⎛=
Maximumamissiblelevel(mg/kg)
Fishery
products
Meat Milk
Honey
Pb 0.3 0.1-0.5 0.02 0.1
Cd 0.05-1.0 0.05-1.0 -
Hg 0.5-1.0
Matrix
umax
(mg/kg)
Pb Cd Hg
Fish/seafruits 0.056 0.011-0.16 0.093-0.16
Meat 0.019-0.056 0.011-0.16 -
Milk 0.0037 - -
Honey 0.019
umax
=10-20%(dependingonthetargetconcentraMon)
umethod,maximum
<20%(dependingonthetargetconcentraMon)
Umethod,maximum
<40%(dependingonthetargetconcentraMon/ML)
Accuracyprofile⇒graphicalrepresentaMonoftheaccuracygenerallyexpressedintermsof
recoveryfactoroverarangeofanalytelevelscomprisedbetweentheLOQandanin-house
definedconcentraMonimposingtwolimits:
METHODVALIDATIONBYMEANSOFTHEACCURACYPROFILE:
AREALISTICAPPROACHFOROFFICIALCHEMICALLABORATORIES
TITITI Skβ ×=2β1ν,TI tk += ⎟
⎠
⎞⎜⎝
⎛ += 2RTI IJB11SS
SR,standarddeviaMoncharacterizingthewithin-laboratoryreproducibility;
I,numberofseries(days);
J,numberofmeasurementreplicatesperseries;
B,parameterdependingonintra-andinter-seriesstandarddeviaMons
Sr,S
B,intra-andinter-seriesstandarddeviaMon,respecMvely
1JA1AB
++
= 2r
2B
ssA =
o acceptability interval (λ): the maximum accepted devia,on of a measurement result compared to a reference value(generallyλ≤30%).
o toleranceinterval(β-expecta,oninterval):definesanintervalinwhichagivenfracMonoftheresults(β,%)willbefound.
Recoveryfa
ctor(%
)
Concentration100
C1 C2
C3 C4C5
120
80
110
90
AveragerecoveryfactorfortheanalysisofaCRMoraspikedmatrix
Higheracceptancelimit(100+λ,%)
Loweracceptancelimit(100-λ,%)
Highertolerancelimit(+β,%)
Lowertolerancelimit(-β,%)
LOQ
AnalysisofCRMorspikedsamplesgenerallyatfiveconcentraMonlevels(atleast)iscarriedoutinduplicateindifferentdaysduring
aMmespanofatleastthreemonths.
PartII.
SPECIATIONANALYSISAPPLIEDTOFOODSTUFF
IUPAC(D.M.Templetonet.al.,PureAppl.Chem.,2000):speciaMonanalysis⇒
theanalyMcalacMvityofidenMfyingand/ormeasuringthequanMMesofoneormoreindividual
chemicalspeciesinasample.
«Inorganicarsenic»isafracMonofarsenic(AsIII+AsV)andnotaspecies!
q MercurypoisoningatMinamata,Japan(1950’):thefirstlargescalepoisoningwith mercury species(CH3Hg+)viafishconsump,on(CH3Hg+was
generatedintheprocessforproducingacetaldehydeusingmercuryascatalystinalocalfactory)
q 2250peopleneurologicallyaffected,1040died
“Minamatadisease”
enteredintoforceon
16August2017.
(109countriessofar) hep://www.mercuryconven,on.org/
AbriefhystoryofspeciaMonanalysis…
q Minamatadisease»isoneofthemostsignificantnegaMveconsequencesassociatedwithenvironmental
polluMoncausedbyindustrialacMvityintheworld
q Thefisheryproductscontained5to40ppmofHg⇒maximumadmissiblelevelisnowadaysof1.0ppmfor
thepredatoryspecies
70yearslater…
q Despite the advanced analyMcal methodologies nowadays
available,thereisnotasingleEUregulaMonintermsofspeciaMon
analysis in food products⇒ excepMon: Sn(IV) in canned foods
(since 2006) ⇒ related to contaminaMon via food contact
materials.
Sn(IV)
q NoregulaMonyetforMeHg(atleastinfish)despiteitstoxicity.
q RegulaMonexistsforinorganicarsenic(AsIII+AsV)⇒fracMonnotspecies!
(Inorganic)Arsenic ML(mg/kg)
Milledrice,notparboiled(polishedriceorwhiterice) 0,2
Parboiledriceandhuskedrice 0,25
Aglewesofpuffedrice,derizleaves,ricecrackersandrice
flourcakes
0,30
RicefortheproducMonoffoodstuffsforinfantsand
youngchildren
0,10
Dailyexposure:
Ii:dailyintake(µg/day)
Di:dailyconsumpMonoftheconcernedfood(g/day)
Ci:averageconcentraMonoftheelement(µgg-1)
DailynutriMonalintake
Ei:dailyexposure(µg/kgbw/day);BW:bodyweight(kg)
Ii=D
i×C
i
"#=%↓# /&'
WhythereisalackinregulaMonintermsofspeciaMonanalysiswhenreferenceanalyMcalmethodologiesareavailable?
the basis of regulaMon of chemical contaminants in foodstuffs is a compromise between the risk assessment and the
economicalimpact.
ExemplesofPTDI(μg/kgbw/day)
MeHg:0.19(JECFA+EFSA)
Hg(II):0.57(JECFA)
Inbrief,riskassessmentimpliesthecomparisonofthedaily(weeklyoryearly)exposurewiththeprovisionaltolerabledaily(weeklyorweeklyoryearly)intake(µg/kgbw/day)(toxicologicalreferencevalue).
TotalDietStudies(TDS):themostcomprehensivetoolforriskassessmentofthegeneral
populaMon
Mainchemicalspeciesofinterestintermsoffoodanalysis
Increasingmolecularmassandcomplexity
INORGANICCOMPOUNDSAND
COMPLEXESNispecies:Ni0,NiO,NiCl2,NiSO4,NiCO3Ti species:Ti,TiCl4,TiO2Nanoparticles
ELECTRONICANDREDOXSTATESSe(IV)/Se(VI)As(III)/As(V)Cr(III)/Cr(VI)Fe(II)/Fe(III),…
STABLEISOTOPES
ORGANOMETALLICCOMPOUNDS
MACROMOLECULARCOMPOUNDSANDCOMPLEXES
ORGANICCOMPLEXES
MLn
Toresume:
q As(III)-As(V)(todefinetheinorganicfracMon…)
q Cr(III)-Cr(VI)(notregulated)
q MeHg(notregulated)
q OrganoMn(notregulated)
q Organicmoleculescontainingheteroatoms(Cl,Br,S,metals)(parMallyregulated)
MainAscontributorsviafood
(1)Riceandcereals
I.SpeciaMondefinedfromthepointofviewoftheoxidaMonstate
I.1.Inorganicarsenic:As(III)andAs(V)
arsenite: As(III)arsenate: As(V)
(cancerigen)
Acide monomethylarsonic (MMA); Acide dimethylarsonic (DMA)
(Cancer promoter?)
Organic As : arsenobetaine (AsB)arsenocholine (AsC)
trimethylarsineoxyde (TMAO), arsenosucres, arsenolipides, etc.
(non-toxic)
q maincontributora}erdrinkingwater
q mainlycontaminatedwithinorganicAs
q Despite the relaMvely large panel of As species present in food, rice accumulatesmostly arsenite (As(III)), arsenate (As(V)), monomethylarsonic acid (MMA),
dimethylarsinicacid(DMA),
q ArseniclevelsinricedependonthegeographicallocaMon,growing/soilcondiMonsandalsoonthelevelofcontaminaMonoftheirrigaMonwater.
Ast⇒0.041-0.54mg/kg
Asi⇒0.025-0.47mg/kg(organicriceduo)
q 37compositesamples
q 7groupsofricetypesmostlyconsumedinFrance:BasmaM,Thai,White,White
forrisowo,Organicsemi-wholegrainduo,Three-ricemixandWholegrainrice
q Theintakevariedbetween0.18µgkg-1b.wforAstand0.002and0.15µgkg-1
b.wforAsi⇒wellbelowthatprovidingaminimalriskofchronictoxicity.
q Organic wholegrain ricemay entail a significant risk for children in case of
soleconsumpMonattheexpensesofpolishedrice.
OverviewofarseniclevelsinricesampledinFrance
(2)FishasAscontributor
Level(mg/kg) %Asi
(min-max)
%AsB
(min-max)Mean min-max
Asi
0.022 0.004-0.096 0.72%
(0.13-2.7)
81%
(58-96)AsB 2.5 0.006-15.1
Astotal
3.07 0.013-12.9
OverviewofAsspecieslevelsinfish
q PS/PCfish2011/2012:85fishsamples
q 25differentfishspeciescollectedfrom22Frenchregions
q primarilyorganicAsspecies(non-toxic)
q noregulaMon
Level(mg/kg) %Asi
(min-max)
%AsB
(min-
max)Mean min-max
Asi
0.16 0.006-1.30 6%
(0.33-10.0)
51%
(41-84)AsB 1.34 0.12-3.94
Astota
2.64 1.30-6.54
(3)BivalvemolluscsasAscontributor
OverviewofAsspecieslevelsinbivalvemolluscs
q PS / PC bivalve molluscs 2017: 54 samples (mussels
andoysters)
q 27 samples of oysters and 27 samples of mussels
collectedfrom6frenchregions
Asimolluscs
>Asifish(8foldinaverage)
MILK,apotenMalcontributorofAsi?
Surveillanceplan(2016)concerningthetotalandinorganicAsinbovine
milk
ConcentraMon(mg/kg)
TotalAs 0.00040(LOD)–0.0019
InorganicAs 0.00010(LOD)-0.00030
Asi/As
t≤16%
50samplesdistributedacrossthewholecountry
Specia,onanalysisofAsatultra-tracelevels
1)Microwaveassisted
extraction
2)Dilution
3) Filtration
4)Ultrafiltration
5)HPLC- ICP-MSanalysis
2.0gliquid0.2gpowder
(50mLultra-purewater)
5µmcelluloseacetate0.45µmPVDF
10kDa,10000rpm,10min
ICS5000+(Thermo Scientific) iCAP Q(Thermo Scientific)
Samplepreparation
10mLHNO3 1%(m/m),H2O2 3%(m/m)
30minat90�C
q FoodismainsourceofCrexposure
q Therearenomaximumlevels(MLs)forchromiuminfood
q Cr(VI)hasbeenclassifiedforalongMmecarcinogenictohumansbyinhalaMon(IARC,2012);
q Cr(III)haslongbeenconsideredanessenMalnutrientforhumanhealthbutEFSAPanelin2014consideredthatthereisnoconvincingevidence
ofbeneficialeffectsassociatedwithchromiumintakeinhealthysubjects
I.2.SpeciaMonanalysisofchromium(CrIII-CrVI)
Increasingmolecularmassandcomplexity
INORGANICCOMPOUNDSAND
COMPLEXESNispecies:Ni0,NiO,NiCl2,NiSO4,NiCO3Ti species:Ti,TiCl4,TiO2Nanoparticles
ELECTRONICANDREDOXSTATESSe(IV)/Se(VI)As(III)/As(V)Cr(III)/Cr(VI)Fe(II)/Fe(III),…
STABLEISOTOPES
ORGANOMETALLICCOMPOUNDS
MACROMOLECULARCOMPOUNDSANDCOMPLEXES
ORGANICCOMPLEXES
MLn
ChallengesintermsofchromiumspeciaMoninfoodstuff
q Bothchromiumspeciesareverylabile⇒theymayoxidase(CrIII→CrVI)orreduce(CrVI→CrIII)dependingontheredoxproperMesofthe(foodstuff)matrix
q Eachspeciesisstableindifferentmedia(pH)hencemakingtheirsimultaneouslydeterminaMonatrulyanalyMcalchallenge
SpeciaMonanalysisofchromiuminfoodisgenerallycarriedoutsequenMallybyfocusingononespeciesataMme.
Themaindisadvantageofconven,onalspecia,onanalysismethodsistheimpossibilitytoassessthespecia,ondegrada,on(ifthecase).
ControversyrelatedtochromiumspeciaMoninfoodstuffs
q EFSAstatesthatin(most)foodstuffCrispresentasCr(III)(EFSA,2014).
q SomeauthorsreportedthepresenceofCr(VI)infood(Soaresetal.,J.Agric.FoodChem.,2010).
q 33-73%ofCr(VI) (ofCrtotal) in toastbread→Cr(III) oxidaMonduring toasMng??? (Mathebula;
(FoodChem.,2017).
Sateoftheart(simultaneous)speciaMonanalysisofchromium⇒speciesspecificisotopediluMon
q IDMSistheonlyprimarymethodnowadaysavailablethatcanbeappliedtotraceandultra-traceanalysis.
q TheequilibraMonoftheanalytewiththespikeisprimordialforachievingthemaximumaccuracy⇒parMallossoftheanalytea}erequilibraMon
ofthespikewiththesamplewillnotinfluencetheaccuracyofthedeterminaMon.
PrincipleofisotopediluMon
Themaindisadvantageofconven,onalspecia,onanalysismethodsistheimpossibilitytoassessandcorrectthespecia,ondegrada,on(ifthecase).
PhDproject(2018-2021):Ultra-tracespeciaMonanalysisofchromiuminfoodstuffbyHPLC-ICP-MSusingspeciesspecificisotopediluMon(CHROSPID)
Principleofspecis-specificisotopediluMonappliedtoCr(III)andCr(VI)determinaMon
Ø SS-IDMSistheonlyanalyMcalapproachcapabletoevaluatethespeciesinter-conversionandtocorrectmathemaMcallyforsuchtransformaMons.
Ø SS-IDMSpermitspeciesquanMficaMonandassessmentoftheirinterconversioninthesameanalyMcalrun.
Ø InaddiMon,parMallossoftheanalytea}erequilibraMonofthespikeandthesamplewillnotinfluencetheaccuracyofthedeterminaMon.
( )( ) ( )( )( ) ( )βWACWACα1WACWAC
βWACWACα1WACWACR VI
spikeVIspike
52VIspikexx
52VIx
IIIspike
IIIspike
52IIIspikexx
52IIIx
VIspike
VIspike
50VIspikexx
50VIx
IIIspike
IIIspike
50IIIspikexx
50IIIxIII
50/52 ⋅⋅+⋅⋅+−⋅⋅+⋅⋅
⋅⋅+⋅⋅+−⋅⋅+⋅=
( )( ) ( )( )( ) ( )βWACWACα1WACWAC
βWACWACα1WACWACR VI
spikeVIspike
52VIspikexx
52VIx
IIIspike
IIIspike
52IIIspikexx
52IIIx
VIspike
VIspike
53VIspikexx
53VIx
IIIspike
IIIspike
53IIIspikexx
53IIIxIII
53/52 ⋅⋅+⋅⋅+−⋅⋅+⋅⋅
⋅⋅+⋅⋅+−⋅⋅+⋅=
( ) ( )( )( ) ( )( )β1WACWACαWACWAC
β1WACWACαWACWACR VI
spikeVIspike
52VIspikexx
52VIx
IIIspike
IIIspike
52IIIspikexx
52IIIx
VIspike
VIspike
50VIspikexx
50VIx
IIIs
IIIs
50IIIsxx
50IIIxVI
50/52 −⋅⋅+⋅⋅+⋅⋅+⋅⋅
−⋅⋅+⋅⋅+⋅⋅+⋅⋅=
( ) ( )( )( ) ( )( )β1WACWACαWACWAC
β1WACWACαWACWACR VI
sVIspike
52VIspikexx
52VIx
IIIspike
IIIspike
52IIIspikexx
52IIIx
VIspike
VIspike
53VIspikexx
53VIx
IIIs
IIIspike
53IIIspikexx
53IIIxVI
53/52 −⋅⋅+⋅⋅+⋅⋅+⋅⋅
−⋅⋅+⋅⋅+⋅⋅+⋅⋅=
WMm
=
HPLCseparaMon(anionexchange)
⇒ ColumnDionexIonPac™AG7:2mmx50mm(10μm)
⇒ Mobilephase:10mMHNO3+2.5%Methanol+0.32MEDTA(isocraMc)(pH=2)
⇒ ColumnTemperature:30°C
⇒Flow:0.20mL/min
SimultaneouscomplexaMonofCr(III)andCr(VI)
⇒ Cr(III)complexaMonwithEDTA(0,60mM)
⇒ Cr(VI)complexaMonwithdyphenylcarbazide(0,02mM)
⇒ pH=4
⇒ HeaMngat70°C(25min+25min)CrO4
2- + Cr3+ +
AnalyMcalprocedureforsimultaneousspeciaMonanalysisofCr(III)andCr(VI)
Cr3+ +
H2C
H2C
N
N
CH2
CH2
COO
COOHCH2 COOH
CH2 COO
-
-
H2C
H2C
N
N
CH2
CH2
COO
COO
CH2
CH2
COO
COO
Cr
-
+ 2H+
-
53Cr(VI)-DPC(5ppb)
50Cr(III)-EDTA(5ppb)
1. Complexation Cr(III)-EDTA
0,0 1,1 2,1 3,2 4,2
0,3 g
HNO3 MeOHEDTA
3. Separation4. ICP-MS detection
70ºC / 25min
Complexation 1 (DigiPrep)
70ºC / 25min.
Complexation 2 (DigiPrep)
EDTA[2,40 mM]
16 mL EDTA [0,9 g/l]
x
DPC[20,5 mM]
200 µL DPC[0,5 g/l]
HPLCThermoiCAP Q
2. Complexation Cr(VI)-DPC
5. Chromatogram
Cr(VI)-DPC
Cr(III)-EDTA
Volume= 20mL
xx x
x x
x
x
x
Cr(III) Cr(VI) x Cr(III)-EDTA x Cr(VI)-DPC
28
MethodvalidaMon⇒spikerecoveryexperiments
à Infantformulamilk:Cr(III)natural
=3ppb;Cr(VI)spiked
:0.25ppb
à Milkhalf-fat:Cr(III)natural
=5ppb; Cr(VI)spiked
:1ppb
à Steakbeef:Cr(III)natural
=5ppb; Cr(VI)spiked
:0.5ppb
à Bread:Cr(III)natural
=27ppb; Cr(VI)spiked
:5.0ppb
ProblemwithbreadspikedwithCr(VI):completeconversionofCr(III)toCr(VI)?
Bread:Cr(III)natural
=27ppb;Cr(VI)spiked
:5ppb
Cr(III)natural
=0ppb;Cr(VI)=32ppb(27+5)
analysis
InwaterwiththeaddiMonofCrspecies,interconversionoccursinbothdirecMons,whileinfoodmatricesthereistheconversionofCr(III)toCr(VI).
Cr(III)andCr(VI)inawaterstandardsoluMon
α=31%
β=16%
Cr(III)andCr(VI)added
infoodstuff
α=0%
β=100-150%
AnalyMcalfiguresofmerit
Cr(III)
Parameter1 2 3 4 5 6
Spikinglevel(µg/kg)0,013 0,024 0,048 2,70 4,41 4,67
Recovery(%)108% 98% 98% 100% 87% 94%
RSD(%)*12% 8% 10% 10% 7% 3%
LOQ(ppb) 0.035
*5non-consecuMvedays(1month)
Cr(VI)
Parameter1 2 3 4 5 6
Spikinglevel(µg/kg)0,032 0,051 0,10 0,26 0,54 0,82
Recovery(%)87% 93% 85% 95% 93% 92%
RSD(%)*9% 8% 7% 16% 8% 13%
LOQ(ppb) 0.049
Accuracyprofiles
40%
50%
60%
70%
80%
90%
100%
110%
120%
130%
140%
0,0 0,5 1,0 1,5 2,0 2,5 3,0 3,5 4,0 4,5 5,0
Réc
upér
atio
n (%
)
Concentrations (ug.kg-1)
Profil d'exactitude Cr(III)
Recouvrement (justesse)Limite basse tolérance (%)Limite haute tolérance (%)Limite d'acceptabilité basse (%)
1 + λ
1 - λ
+
- β
Increasingmolecularmassandcomplexity
INORGANICCOMPOUNDSAND
COMPLEXESNispecies:Ni0,NiO,NiCl2,NiSO4,NiCO3Ti species:Ti,TiCl4,TiO2Nanoparticles
ELECTRONICANDREDOXSTATESSe(IV)/Se(VI)As(III)/As(V)Cr(III)/Cr(VI)Fe(II)/Fe(III),…
STABLEISOTOPES
ORGANOMETALLICCOMPOUNDS
MACROMOLECULARCOMPOUNDSANDCOMPLEXES
ORGANICCOMPLEXES
MLn
Organiccomplexes
Organomercury(MeHg)Organotin(TBT-DBT-TPhT-DOT)Organoarsenic(MMA, DMA)OrganoleadOrganoselenium
…
As(III)/As(V)
Cr(III)/Cr(VI)
Sn(IV)
III.3.SpeciaMonanalysisoforganiccomplexes:mission(im)possible?
• Dithiocarbamates(DTCs)-relaMvelyintenseusedasfungicidesbeingeffecMveagainstabroadspectrumofplantdiseases.
• DespitethesignificantenvironmentalandfoodchainimpactofDTCs,thecurrentanalyMcalapproachesfortheirdeterminaMonsuffer
fromseriousdrawbacks.
• TheEuropeanreferencemethodforthispurposereliesonnon-selecMvequanMficaMonbyindirectdeterminaMonofthesumofDTC
species(singleresiduemethod).
• Thedevelopmentofamethodwithincreasedselec:vityforthedetermina:onofDTCsandoftheirdegrada:onproductsinfood(byamul:-approachstrategy)ishighlyneeded.
DTCs acidic
hydrolysis CS
2 Chromatographic
analysis
MulM-approachdeterminaMonofdithiocarbamatefungicidesandtheirdegradaMonproductsinfood
(H2020 – MSCA-IF MET-PEST)
DithiocarbamateFungicides
Thiram Ziram
Maneb
Me:ram Zineb
Ferbam
Propineb
MulM-approachanalyMcalstrategiesforDTCsdeterminaMon
Presence of a metal moiety (Fe, Zn
and/orMn) in theDTCs structure⇒
HPLCICP-MS
Thepresenceofsulphur
intheDTCsstructure⇒
HPLC-ICP-QQQMS
HPLC-MS/MS⇒targeMngDTCs
DeterminaMonoftheirdegradaMonproducts⇒verystable
Propineb
Propylene thiourea (PTU)
degradation
MainanalyMcalchallengeofDTCsdeterminaMon:lowstabilityandsolubility
Mainadvantage:
useofRP-HPLC-ICP-QQQMS
insteadofHILIC
(asfortheDTCs
MainanalyMcalparametersforthedeterminaMonofDTCsdegradaMonproducts(ETU,PTU)and
inrganicsulfurbyRP-HPLCcoupledtoICP-QQQMS
(firstICP-MSbasedmethod…)
HPLCcolumn Aqua®3µmC18,125Å;150×2mm
MobilePhase 5%MeOH,isocraMceluMon
Flow(mL/min) 0,25
Monitoredsignals [32]S→[48]SO;[34]S→[50]SO
MethodValidaMon⇒acuracyprofileapproach
LOQ=15ppb
Intermediateprecision:2-10%(dependingonthespikinglevel)
LOQ=10ppb
Intermediateprecision:1-8%(dependingonthespikinglevel)
Matricestested(spiking) Tomatoes,Grapes,Strawberries,Cherries
Spikinglevels(ppb) 10–400(6differentlevels)
ExtracMonsolvent Aqueous5%MeOH
ExtracMonprocedure SurfaceextracMon(wholefruit)(30min)
Recovery(%) 71-110
Linearrangetested(ng/mL) 10–1000
Linearity(r2) 0,9999–1,000
BackcalculatedconcentraMons 95–105%
Instrumentalprecision(%RSD) <2%
AnalyMcalfiguresofmerit
Chromatogramsobtainedfortheanalysisofreal-lifespikedsamples(wholefruits)
ETU PTU
Unidentified S-containing compound(s)
Strawberries
Grapes
ETU PTU
Unidentified S-containing compound(s)
FUTURESPERSECTIVESINTERMSOFSPECIATIONANALYSISINFOODPRODUCTS
q Thespecieswhich(sMll)posean“official”interestintermsoffoodare:
MeHg,As(III)-As(V)andCr(III)-Cr(VI)
q TheaccuratedeterminaMonofinorganicAsissMllchallenginginfisheryproducts(becauseofthelow
levelsofAsiandthematrixcomplexity)
q MoreanalyMcaldevelopmentsmustbecarriedforthesimultaneousspeciaMonanalysisofCr(III)and
Cr(VI)byspeciesspecificisotopediluMoinfoodstuffs
q An intersMngperspecMve is thespeciaMonanalysisoforganiccontaminantscontainingheteroatoms
(S,Cl,Br,…)byexploiMngthenewanalyMcalfeaturesprovidedbyICP-QQQMS.
GrazieperlavostraawenMone!