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Analytical, Nutritional and Clinical Methods
Chromium determination in foods by quadrupole inductivelycoupled plasmamass spectrometry with ultrasonic nebulization
Francesco Cubadda*, Silvana Giovannangeli, Francesca Iosi,Andrea Raggi, Paolo Stacchini
Istituto Superiore di Sanita` , Laboratorio Alimenti, Viale Regina Elena 299, 00161 Rome, Italy
Received 20 August 2002; received in revised form 10 December 2002; accepted 10 December 2002
Abstract
The analytical issues connected with chromium determination in foodstuffs by quadrupole inductively coupled plasmamass
spectrometry (Q-ICP-MS) were addressed, including signal stability, spectral interferences and the use of mathematical correction
equations. The analytical performance was compared to that of electrothermal atomisationatomic absorption spectrometry (ETA-
AAS), selected as reference method. Five food certified reference materials (CRMs), including two meat-based CRMs not previously
characterized for their Cr content, were included in the study. The use of ultrasonic nebulization (UN) and the adoption of 53Cr as
analytical mass allowed precise and accurate results to be obtained by Q-ICP-MS, with lower detection limits than ETA-AAS.
# 2003 Elsevier Science Ltd. All rights reserved.
Keywords: Chromium; Food analysis; Electrothermal atomisationatomic absorption spectrometry; Inductively coupled plasmamass spectrometry;
Ultrasonic nebulization; Certified reference materials
1. Introduction
Chromium is an essential element for humans having
a role in maintaining normal glucose tolerance in the
organism (Expert consultation WHO/FAO/IAEA,
1996). It potentiates the action of insulin and thus acts
on carbohydrate, lipid and protein metabolism. Chro-
mium dietary intake has been estimated in the range
2856 mg/day in many countries, but some surveys found
remarkably higher levels (Anke, Muller, Trupschuch,
Seifert, Jaritz, Holzinger, & Anke 2000; Lukaski, 2000;
Tripathi, Raghunath, Vinod Kumar, & Krishna-
moorthy, 1998; Ysart et al., 2000). These intakes arelikely to meet nutritional requirements for healthy indi-
viduals, however chromium supplements have been
introduced on the market.
On the other hand, Cr is widely recognized as a
potential food contaminant. Stainless steel may contain
chromium at relatively high percentages. The metal or
its compounds are also used in electroplating and in
surface treatment of food cans. Therefore Cr migration
from cookware and cans has been postulated, even
though only small quantities have been generally
observed in foodstuff as a result of leaching (Berg,
Petersen, Pedersen, Petersen, & Madsen, 2000; Flint &
Packirisamy, 1997; Jorhem & Slorach, 1987; Smart &
Sherlock, 1985).
Organic chromium compounds such as Cr picolinate
have been reported to improve carcass characteristics
and growth performance of breeding animals, especially
in stressed individuals, and are proposed as supplements
in swine production (Lindemann, 1999). However, theuse of such compounds in zootechny is not author-
ized. Of the inorganic forms of chromium, Cr (VI) is
considerably more toxic than Cr (III)which is the
prevailing form in foodsand is classified as carcino-
genic to humans (IARC, 1990). Hexavalent chromium
is recognized as a hazardous water pollutant in envir-
onments degraded by industrial activities releasing
chromate compounds.
In the light of both the nutritional and the toxi-
cological importance of Cr, the determination of its
levels in foodstuffs is a matter of interest worldwide. In
0308-8146/03/$ - see front matter # 2003 Elsevier Science Ltd. All rights reserved.
doi:10.1016/S0308-8146(03)00002-5
Food Chemistry 81 (2003) 463468
www.elsevier.com/locate/foodchem
* Corresponding author. Tel.: +39-06-49902740; fax: +39-06-
49387101.
E-mail address: [email protected] (F. Cubadda).
http://www.elsevier.com/locate/foodchem/a4.3dmailto:[email protected]:[email protected]://www.elsevier.com/locate/foodchem/a4.3d7/28/2019 09OIU
2/6
the past, considerable difficulties have been experienced
in obtaining reliable analytical data for this metal,
whatever the technique used for detection (Reilly, 1991;
Veillon & Patterson, 1999). These obstacles have been
overcome due to the developments in the field of
analytical techniques for trace metal detection and
analytical quality assurance; still Cr analysis at lowlevels is considered a challenge to the skill of the ana-
lyst. In the food control field, this situation is reflected
by the paucity of reference materials with certified
values for Cr, which in turn limits the possibility of
adequately verify the accuracy of Cr analyses carried
out by laboratories.
In the last decade, inductively coupled plasmamass
spectrometry has emerged as a powerful tool for the
analysis of trace elements in all biological matrices
including food, allowing rapid multielemental analyses
to be performed with very low detection limits. This
technique has the sensitivity required for Cr detection in
foodstuffs, but suffers from heavy spectral interferencesaffecting the major Cr isotopes utilized for the quantifi-
cation of the element. Highly biased results were
obtained in certification campaigns of food and
environmental reference materials where ICP-MS was
used without accounting for these interferences (Larsen,
Pedersen, & McLaren, 1997; Quevauviller, van Raa-
phorst, & Muntau, 1996).
A number of analytical approaches have been pro-
posed to deal with this drawback, including higher
resolution powers (sector-type ICP-MS instruments),
alternative sample preparation methods (i.e. suited dis-
solution, separation procedures), use of mixed gases,and, in very recent times, the exploitation of new
modified instruments equipped with collisional or
dynamic reaction cells (Lam, McLaren, & Methven,
1995; Neubauer & Vo llkopf, 1999; Vanhaecke &
Moens, 1999).
In the present work, the results of a study carried out
with the aim to elucidate the different analytical factors
affecting chromium determination in foodstuffs by ICP-
MS are presented. The final goal of our investigation
was to find out if there were robust and feasible analy-
tical solutions which allowed routine chromium deter-
mination for food control purposes without complex
changes in instrumentation and spectrometer operatingconditions or lengthy procedures for sample treatment
prior to analytical measurement, i.e. while taking
advantage of the high sample throughput enabled from
microwave (MW) closed vessel digestion followed by
ICP-MS detection.
Five food certified reference materials, spanning three
orders of magnitude of Cr concentrations, were utilized
in the study. Electrothermal atomisationatomic
absorption spectrometry was selected as a bench mark
in order to evaluate the overall performance of the
analytical method developed.
2. Experimental
2.1. Samples and reagents
The five reference and certified reference materials
were: the RM 8436 (Durum wheat flour) and the SRM
1577b (Bovine liver)provided by the US NationalInstitute of Standards and Technology (NIST)the
BCR CRM 278R (Mussel tissue) and 184 (Bovine mus-
cle)provided by the European Institute for Reference
Materials and Measurements (IRMM)and DORM-2
(Dogfish muscle), obtained from the Canadian Institute
for National Measurement StandardsNational
Research Council (INMS-NRC).
Calibration standards were prepared from a 1000 mg
Cr l1 stock solution (BDH, Poole, England) by dilu-
tion with high purity deionized water (Milli-Q, Milli-
pore, Molsheim, France). The standard for ETA-AAS
and ICP-MS measurements were 0.5% v/v and 3% in
ultrapure concentrated HNO3 (Carlo Erba Reagenti,Milan, Italy), respectively. The reagents used in sample
digestion were ultrapure concentrated HNO3 and H2O2(Merck, Darmstadt, Germany). In the study of spectral
interferences, ultrapure Na2CO3 and NaCl (Merck,
Darmstadt, Germany), were used as carbon and chlor-
ine sources, respectively.
2.2. Sample preparation
Sample treatment, including the digestion procedure
by a Milestone MLS-1200 Mega MW oven (FKV, Ber-
gamo, Italy), was described elsewhere (Cubadda, Raggi,Testoni, & Zanasi, 2002). Sample weight was 0.200.55
g depending on the material. Each CRM was digested in
triplicate and made up to 2550 ml in polypropylene
disposable tubes with high purity deionized water.
2.3. Instrumentation and analytical measurements
For ETA-AAS analyses, a SIMAA 6000 spectrometer
(Perkin-Elmer, Norwalk, CT, USA) with inverse long-
itudinal Zeeman-effect background correction and a
transversely heated furnace was used. The instrument
was equipped with a AS 72 autosampler (Perkin-Elmer,
Norwalk, CT, USA). A furnace program with ashingand atomization temperatures of 1400 and 2400 C,
respectively, was used. Calibration was performed with
the method of standard addition. Other instrumental
details and operating conditions are summarized in
Table 1.
For ICP-MS measurements, a quadrupole Sciex Elan
6000 ICP-MS (Perkin-Elmer, Norwalk, CT, USA),
equipped with a ASX-500 autosampler model 510 and a
ADX-500 autodilutor (both from CETAC Tech-
nologies, Omaha, NE, USA), was used. Two sample
introduction systems were employed in this study: a
464 F. Cubadda et al. / Food Chemistry 81 (2003) 463468
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pneumatic nebulizer of the cross-flow type with a Scott
type spray chamber and an ultrasonic nebulizerU-5000AT+ (CETAC Technologies, Omaha, NE,
USA). Calibration was performed with both external
standards and the method of standard addition. Diluted
solutions were prepared with the same nitric acid con-
centration of calibration standards (3% v/v). Rhodium
was selected as internal standard for correction of
matrix effects and instrumental drift. Before operating
the instrument, a warm up time of 3 h since plasma
ignition was adopted throughout. Other details on the
instrumentation and the operating conditions are sum-
marized in Table 1.
Both in ETA-AAS and ICP-MS measurements,
digestion blanks were analysed together with samples
belonging to the same analytical batch. Standards were
run regularly after 68 sample measurements. Meanelement concentrations together with standard devia-
tions were calculated after blank subtraction. In ICP-
MS analyses, each measurement was done after 2 min of
rinsing with a HNO3 solution (5% v/v) to overcome
memory effects from preceding samples and an addi-
tional 1 min of sample pumping to allow stabilization of
the instrument response. In each analytical run, the iso-
topes 13C and 37Cl were selected for monitoring C and
Cl signal (masses 12 and 35 were avoided in order to
prevent exceedingly intense signals).
3. Results and discussion
The chromium concentrations of the five CRMs
measured by ETA-AAS are shown in Table 2. The cer-
tified or best estimated values are shown in the same
table. For CRM 184 only a range of indicative values is
available, while for SRM 1577b no information is given
from the supplier about Cr levels.
For the CRMs with a certified (best estimated) value,
good agreement was observed with the ETS-AAS
results. The found values were all inside the confidence
interval of the certified values and close enough to the
means. As regards reproducibility, the coefficients ofvariation were on average equal to 3.8% (7.0% maxi-
mum value in RM 8436).
The results of the ICP-MS determinations with con-
ventional nebulization and without correction for spec-
tral interferences are shown in Table 3. Chromium has
four stable isotopes, but only the two more abun-
dant52Cr and 53Cr (natural abundance 83.8% and
9.5%, respectively)were selected for analyses. The
Table 1
Instrumental operating conditions for ETA-AAS and ICP-MS
ETA-AAS
Instrument Perkin-Elmer SIMAA 6000
Wavelength 357.9 nm
Slit width 0.7 nm
Sample injection volume 10 ml
Absorbance measurement mode Peak areaGraphite tubes Pyrolytic with Lvov platform
Matrix modifier Mg(NO3)2
ICP-MS
Instrument Perkin-Elmer Sciex Elan 6000
Plasma
RF generator Frequency: 40 MHz, power output
1000 W
Ar flow rate (L min1) Pla sma: 16, Au xil iary: 0 .9;
Nebulizer: 0.9
Solution uptake rate 1 ml min1
Interface
Sampler cone Nickel, i.d.: 1.1 mm
Skimmer cone Nickel, i.d.: 0.9 mm
Interface: 4 torr,Quadrupole: 2105 torra
Scanning conditions Dwell time 100 ms, sweeps/reading 20,
readings/replicate 3, number of
replicates 3
Scanning mode Peak hopping
Internal standard 103Rh
Analytical masses 52Cr, 53Cr
Masses for interference correction 13C, 37Cl
Table 2
Results of chromium determination in food certified reference materials (mg g1 dry wt.)
Certified reference material Certified valuesa
Found values with ETA-AASd
Found values with UN-Q-ICP-MSe
Mean c.i.b Mean S.D. Mean S.D.
RM 8436 (Durum wheat flour) 0.023 0.009 0.025 0.002 0.026 0.002
CRM184 (Bovine muscle) [0.0760.153]c 0.098 0.004 0.095 0.005
SRM 1577b (Bovine liver) 0.30 0.01 0.31 0.01
CRM 278R (Mussel tissue) 0.78 0.06 0.79 0.02 0.80 0.02
DORM-2 (Dogfish muscle) 34.7 5.5 31.9 0.5 33.0 0.5
a Best estimated value for RM 8436.b Uncertainty as half-width of the 95% confidence interval of the mean.c Indicative range.d Detection limit: 0.17 mg l1 (estimated on the basis of the 3s criterion from the standard deviation (s) of 10 digestion blank determinations carried out
during the same analytical run).e Isotope 53. Detection limit: 0.08 mg l1 (calculated as above).
F. Cubadda et al. / Food Chemistry 81 (2003) 463468 465
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other two isotopes, 50Cr and 54Cr, were ruled out after a
preliminary study, which showed the difficulty in
obtaining a stable signal and reliable analyte quantifi-
cation in real samples. These isotopes suffer from theisobaric interferences of50Ti, 50V and 54Fe, respectively.
Generally, these overlaps can be overcome by elemental
correction equations based on relative natural abun-
dances (e.g. 50Cr=50M[0.739726 (47Ti)+0.002506
(51V)). However, correction by elemental equations was
ineffective because of the low abundance of the two
isotopes and the severity of isobaric and polyatomic
interferences at m/z 50 and 54.
While free of isobaric interferences from other ele-
ments, 52Cr and 53Cr are susceptible to potential inter-
ferences by a number of polyatomic species (52Cr:36
Ar16
O,38
Ar14
N,36
Ar15
NH,40
Ar12
C,35
Cl17
O,35Cl16OH, 37Cl15N, 34S18O, 36S16O; 53Cr: 36Ar17O,36Ar16OH, 38Ar15N, 38Ar14NH, 40Ar13C, 37Cl16O,35Cl17OH, 35Cl18O, 36S17O). The contribution of poly-
atomic ions generated by reagent solutions or the
plasma (i.e. ArO, ArOH, ArN, ArNH) is appreciable
only at low Cr concentrations and, in principle, can be
corrected for by blank subtraction. On the other hand,
the sulphur-containing species are unable to sig-
nificantly interfere with Cr determination at the S levels
found in the food matrices analysed in this study.
Different is the case of carbon argides arising from the
residual carbon content of food after destruction of the
organic matrix by MW digestion. The interference fromArC is severe (especially that of 40Ar12 on mass 52) and
hampers accurate chromium determination in all the
selected CRMs with the only exception on DORM-2,
where the very high levels of the analyte make it almost
negligible (Table 3). The apparent analyte concen-
trations originated by a carbon solution of 100 mg l1 in
the experimental conditions adopted in this study and
with the standard pneumatic nebulization as sample
introduction system are shown in Table 4. If one con-
sider that with MW digestion residual carbon contents
of sample solutions can be of several tenths of mg l1, it
is clear how the real Cr levels of the original matrix can
be completely obscured by the apparent concentration
arising from 40Ar12.
The interference of 40Ar13C on 53Crmeasured as
apparent analyte concentrationsis about eight times
lower. However, this isotope is 10 times more suscep-
tible than 52Cr to the influence of chlorine-containing
polyatomic ions (Table 4), and the analyst should be
aware of this when analysing, for instance, seafood.Also the use of chlorine-containing acids in the diges-
tion procedure contributes to the chlorine content of
digestates and thus should be avoided.
The simplest way to attempt a solution to these inter-
ference problems is the use of correction equations,
which subtract to the intensities of the analytes the sig-
nal resulting from interfering polyatomic ions (Ashley,
1992; Violante, Petrucci, Delle Femmine, & Caroli
1998). As an example, the correction equation for the
determination of 53Cr was: 53Cr=53M(37ClCF),
where the correction factor CF was equal to the ratio of
the signal at mass 53 (37
Cl16
O) and 37 (Cl) produced bya pure Cl solution. CFs were calculated using both net
(i.e. blank subtracted) and total intensities as deter-
mined by the analysis of carbon- and chlorine-contain-
ing solutions before each analytical run. Afterwards, a
system of correction equations was entered into the
instrument software.
The results obtained (four analytical runs on different
days) were enough accurate but were sufficiently precise
only for DORM-2 and CRM 278R, the materials with
the highest Cr levels. Coefficients of variation of 10
19% were obtained for the other CRMs. In particular,
in the case of RM 8436 (Cr certified value: 0.0230.009
mg kg1), inter-run CVs as high as 36% were obtained(three non-consecutive measurements in each run),
while the intra-run CV was equal to 19%.
Several reasons account for this poor precision. When
correction equations are used, the invariability of the
ratio of the signal intensities included in the CF is
assumed. However, this ratio is determined through a
separate series of measurements before the analytical
run and variations can occur especially if, subsequently,
long analyses are performed. A way to minimize and
control this phenomenon is to start the analysis soon after
the determination of the CF and to check periodically the
Table 3
Biased results for chromium determination in food certified reference
materials (mg g1 dry wt.)a
Certified reference material Found values
52Cr 53Cr
Mean S.D. Mean S.D.
RM 8436 (Durum wheat flour) 0.35 0.02 0.076 0.006
CRM184 (Bovine muscle) 0.58 0.05 0.17 0.02
SRM 1577b (Bovine liver) 0.70 0.05 0.33 0.03
CRM 278R (Mussel tissue) 1.54 0.08 1.44 0.09
DORM-2 (Dogfish muscle) 34.6 0.4 34.4 0.5
a Analysis performed with Q-ICP-MS, pneumatic nebulization, no
correction for spectral interferences.
Table 4
Apparent analyte concentrations in mg l1 originated at mass 52 and
53 by carbon and chlorine solutions. Experimental conditions: stan-
dard instrumental settings, pneumatic nebulization
Isotope Major
interferences
C 100 mg l1 Cl 100 mg l1
Mean S.D. Mean S.D.
52Cr 40Ar12, 35Cl16OH 16.5 2.0 0.2 0.153Cr 40Ar13C, 37Cl16O 2.0 0.5 2.3 0.4
466 F. Cubadda et al. / Food Chemistry 81 (2003) 463468
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efficacy of the correction by analysing solutions con-
taining the interfering element(s). If the signal ratio is
constant and the correction works well, the apparent
analyte concentration for the corrected masses should
be zero. Another weakness of the use of correction
equations is that the intensity of the interference is
assumed to be the same in the digestates and in theaqueous solutions used for CF calculation, which in
some cases may be not entirely true. For all these rea-
sons mathematical equations generally give reliable
results when only a minor part of the apparent concen-
tration is due to interference, as happens for DORM-2
and CRM 278R and as previously demonstrated in the
case of the Ca-containing polyatomic species interfering
with Fe, Co, Ni (Cubadda et al., 2002).
Another difficulty of Cr determination when low
analyte levels (
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4. Conclusion
Chromium analysis of foodstuffs not rich in Cl and
with a simple organic matrix can be carried out after
MW digestion with Q-ICP-MS resorting to both 52Cr
and 53Cr, if the analyte level in the digestates is >100 mg
l
1
, and to
53
Cr if the analyte is in the range 10100 mgl1. At lower Cr concentrations a correction equation
must be used in order to compensate for the ArC inter-
ference. In this latter case, the best results are obtained
with 52Cr and the correction is effective above 23 mg
l1, whereas it leads to imprecise results for lower ana-
lyte levels. Accurate and precise Cr determination down
to 0.1 mg l1 and below can be performed resorting to
ultrasonic nebulization and selecting the 53Cr isotope as
analytical mass, with an additional correction for ClO if
significant amounts of Cl are present in the sample.
Following these findings, the chromium levels of five
food CRMs, including two meat-based CRMs not pre-
viously characterized for their Cr content, could beascertained by Q-ICP-MS. The selected CRMs covered
a wide range of analyte concentrations and were repre-
sentative of different staple food (meat, seafood, cereal
grains). The results obtained by UN-Q-ICP-MS were in
good agreement with those obtained by ETA-AAS and
with the available certified (or best estimated) values for
the selected CRMs.
Acknowledgements
This work, which was carried out as a part of theproject Alimenti di origine animale: valutazione dei
residui di sostanze chimiche impiegate in zootecnia,
was supported by a grant from the Ministero della
Salute (Ministry of Health) of Italy.
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