Critical factors and pitfalls affecting the extraction of acrylamide from foods, Critical factors, and pitfalls affecting the extraction of acrylamide from foods, Critical factors and pitfalls affecting the extraction of acrylamide from foods
Trang 1Analytica Chimica Acta 557 (2006) 287–295
Critical factors and pitfalls affecting the extraction of acrylamide from foods: An optimisation study
Erik V Peterssona,b,∗, Johan Ros´ena, Charlotta Turnerb,
Rolf Danielssonb, Karl-Erik Hellen¨asa
aNational Food Administration, P.O Box 622, 751 26 Uppsala, Sweden
bUppsala University, Institute of Chemistry, Department of Analytical Chemistry, P.O Box 599, 751 24 Uppsala, Sweden
Received 9 August 2005; received in revised form 5 October 2005; accepted 9 October 2005
Available online 29 November 2005
Abstract
A stepwise study of common factors for the extraction of acrylamide (AA) from relevant food matrices was performed The investigated extraction factors were sample particle size (fine or coarse), defatting (yes or no), extraction solvent (water or water/methanol), homogenisation
by Ultra Turrax (yes or no), extraction temperature (25 or 60◦C) and extraction time (5 min to 17 h) An optimised method comprised the use of fine particles (<1000m), water as the extraction solvent and shaking of the sample for 45 min at 25◦C This extraction method was suitable for
all tested matrices (coffee, crispbread, mashed potatoes, milk chocolate and potato crisps) The analytical results (from LC-MS/MS analysis after SPE clean-up) correlated well with those obtained by the original, more labour-intensive, extraction procedure and there was excellent agreement with the assigned AA levels of several proficiency test samples analysed for evaluation Defatting and additional homogenisation by Ultra Turrax did not increase the AA yield when other factors were set to appropriate levels In general, the study indicates that incomplete extraction is the most likely cause of erroneous results This might occur when the food is not sufficiently macerated, when water/methanol is used as the extraction solvent, and when using a short extraction time or low extraction temperature, especially when these conditions are combined Formation of AA during the extraction procedure is another possible error source, though it was not seen under any of the experimental conditions employed when
a fructose-enriched blank potato tissue was extracted
© 2005 Elsevier B.V All rights reserved
Keywords: Acrylamide; Foods; Analysis; LC-MS/MS; Extraction; Optimisation; Method optimisation
1 Introduction
Since the initial discovery of acrylamide (AA) as a
heat-induced food toxicant in fried rat feed in 2000 [1], and then
in heated foods in 2002[2], several methods for the analysis
of AA in foods have been developed The most common
meth-ods include chromatography/detection with LC-MS/MS (liquid
chromatography tandem mass spectrometry) or GC-MS (gas
chromatography mass spectrometry; with or without
derivati-sation of the analyte) In a review from 2003, special attention
was given to sample preparation, which represents the
great-est differences between the methods[3] It was concluded that
several steps of the extraction procedure had not been
thor-∗Corresponding author Tel.: +46 18 175762; fax: +46 18 105848.
E-mail address: erik.petersson@kemi.uu.se (E.V Petersson).
oughly investigated, including the influence of extractant com-position, extraction temperature/time, defatting and mechanical treatment
An evaluation of the results from a proficiency test organ-ised by the German Federal Institute for Risk Assessment (BfR)
in 2002 also showed great inter-laboratory differences, suppos-edly related to different extraction procedures[4] In particular, there was a significant difference between aqueous and non-aqueous extraction of AA from cocoa powder Also, in another proficiency test, jointly organised by BfR and the European Commission’s Joint Research Centre (JRC), a cocoa sample caused large variations, which made it impossible to establish
an assigned value[5]
In 2004, an evaluation of an inter-laboratory comparison study arranged by JRC showed that a large number of the mea-sured AA levels were outside the acceptable range, especially for a crispbread sample[6] The choice of analysis technique
0003-2670/$ – see front matter © 2005 Elsevier B.V All rights reserved.
doi:10.1016/j.aca.2005.10.014
Trang 2(LC-MS/MS or GC-MS) had a significant influence on the
results GC-MS without derivatisation was found to lead to
over-estimation of the AA content Furthermore, the composition of
the extraction solvent had a significant influence on the results,
especially for crispbread samples It was concluded that
addi-tional work is necessary in order to identify problematic steps
in the analytical procedures
Certain pitfalls affecting the extraction of AA have been
proposed Three authors suggested in situ formation of AA
during soxhlet extraction of potato crips at 60◦C in methanol
[7–9] This was a method published by Pedersen and Olsson
extrac-tion (ASE) for extracextrac-tion of food samples with ethyl acetate
at elevated temperature and pressure, found incomplete
extrac-tion of AA from cacao and milk powder compared to the use
of water as an extraction solvent Under the same conditions,
formation of AA in raw sugar samples was suspected, but not
both incomplete extraction and formation as possible pitfalls
Furthermore, formation has also been suggested in the
injec-tion port during direct GC-MS analysis (if AA precursors are
present)[12] Other possible pitfalls include contamination of
thermal degradation of AA In a very recent publication, it has
been proposed that up to 4.1 times higher amounts of AA can
be extracted from certain foods at strongly alkaline conditions
(pH 12) compared to extraction at more normal conditions (pH
6)[14] It is not clear whether this is physically or chemically
released AA, or if it is bioavailable Therefore, the relevance
of this seemingly higher AA content for human exposure is
unknown
Commonly used methods for the determination of AA
in foods include extraction, clean-up (in some methods also
derivatisation) and chromatography/detection It has been
con-cluded that investigations concerning the extraction step are
investigation of common extraction factors and their resulting
AA yield from relevant food matrices An optimised
extrac-tion method is presented together with a discussion on possible
pitfalls
2 Experimental
2.1 Apparatus
MS was performed using a triple quadrupole: Micromass
Quattro Ultima with electrospray (Micromass UK Ltd.,
Altrin-cham, Cheshire, UK) The HPLC system used was a Waters
Alliance 2695 (Waters Ltd., Watford, Hertfordshire, UK)
material (Hypersil-Keystone, Runcorn, UK) The Ultra Turrax
homogeniser was a DISP 25 (InterMed, Roskilde, Denmark)
The incubated shaker was a ROSI 1000 (Thermolyne, Dubuque,
IA, USA) The stack-sieving device was a B¨uhler-Miag model
300/B (Milano, Italy)
2.2 Reagents and chemicals
Acrylamide, cyclohexane, methanol, 2-propanol and ethyl acetate were supplied by Merck (Darmstadt, Germany), ethanol was supplied by Kemetyl AB (Haninge, Sweden), triple-labelled
supplied by CDN Isotopes (Pointe-Claire, Que., Canada) The solid phase extraction (SPE) columns used were ENV+ 1 g and MultiMode 1 g from IST (Mid Glamorgan, UK) HPLC-grade acetonitrile was supplied by Lab-Scan (Dublin, Ireland) and pure water was produced from a Millipore purification system
2.3 Food samples
Food samples were of Swedish produce and purchased off-the-shelf from a retail store in Uppsala, Sweden After
samples were classified in two groups: (1a) samples containing only fine particles in the retail package and (1b) samples further homogenised into two portions giving coarse and fine particles, respectively
(1a) Samples containing only fine particles:
Raw potatoes (blank) were prepared from 1000 g fresh
potatoes mashed together with 20 g fructose
Coffee (500 g) medium-roasted powder.
(1b) Samples homogenised into coarse and fine particles:
Crispbread: Half a package (250 g of 500 g) of crispbread
was divided into two portions and homogenised with a mortar and a pestle into “coarse” and “fine” particles, respectively The size-distribution of the particles were characterised by stack-sieving for 30 min using 1610,
1110, 670, 460, 219 and 150m sieves This
characteri-sation showed that the main fraction of the coarse portion was in the 1610m mesh and the main fraction of the fine
Milk chocolate bars: Two packages (2× 100 g) of milk
chocolate bars containing around 30% cocoa powder were homogenised by grating into “coarse” and “fine” particles, respectively Characterisation by stack-sieving (performed as for crispbread) showed the main fraction
of the coarse portion particles in the 1110m mesh and
of the fine portion particles in the 670m mesh
Potato crisps: A package (200 g) of potato crisps with
onion-taste was divided into two portions, which were homogenised with a mortar and a pestle into “fine” and
“coarse” particles, respectively The particle size distribu-tion was not possible to characterise by stack-sieving due
to the fatty and sticky consistency However, there was a clearly visible difference between the portions of coarse and fine particles, and the main fraction of the particles was estimated to be >1000 and <1000m, respectively
Proficiency test samples: Food Analysis Performance
Assess-ment Scheme (FAPAS®) breakfast cereal test material was round
10, series 30 obtained from FAPAS, CSL (York, UK)
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Four different samples from “the third proficiency test, jointly
organised by BfR and DG-JRC IRMM, on the analysis of
acry-lamide from coffee and cocoa samples” consisting of cocoa
powder, coffee, coffee extract and coffee surrogate
2.4 Procedures
2.4.1 AA determination procedure
The sample extraction and clean-up were performed with a
modified version of the established in-house method[13,15]
2.4.1.1 Typical sample extraction Different amounts of
sam-ple were used depending on the sensitivity needed or if the
matrix was known to contain interfering substances Two grams
of sample (4 g for crispbread and raw potatoes) was weighed
into a 50 ml falcon-tube If applicable, fine or coarse
parti-cles were chosen Some samples were defatted with 10 ml
of cyclohexane for 30 min (short, gentle shaking by hand
every 10th minute) Then 40 ml of extraction solvent (water
stan-dard (acrylamide-2H3; 1000 ng ml−1) were added to the tube
(giving a two-phase extraction if cyclohexane was added
pre-viously) In some cases, the sample was further homogenised
with an Ultra Turrax homogeniser (2 min, 9500 rpm) The
sam-ple was always extracted in an incubated horizontal shaker
(100 rpm) at different times and temperatures (no pre-warming
of extraction solvent was made) according to the experimental
conditions, followed by centrifugation in a cooling centrifuge
(10◦C, 4000 rpm, 20 min) Afterwards a portion of the
super-natant was removed (10 ml from 4 g samples; 2 ml from 2 g
samples)
2.4.1.2 Sample clean-up Supernatants containing methanol
were concentrated under vacuum in a vortex evaporator (40◦C,
30 min) in order to evaporate the methanol, and then the volume
was made up to the original with water An SPE column
(mul-timode, 1 g) was pretreated with acetonitrile (3 ml) and water
(2× 6 ml) in a vacuum manifold The supernatant was passed
through the column (for 2 g samples: additional rinsing
after-wards with 3 ml water, which was also collected) giving 10 or
5 ml eluate collected The eluate was loaded onto a second SPE
column (ENV+, 1 g) that had been pretreated with methanol (5 ml) and water (5 ml) in a vacuum manifold The column was
methanol in water The first fraction of the eluate was discarded (because it was free from AA) and only the fraction at 1.7–3.7 ml was collected The collected extract was evaporated by means of
of approximately 0.5–1 ml
2.4.1.3 LC-MS/MS analysis Three 10l injections of the final
extract were analysed using LC-MS/MS according to the in-house method[16], the only modification being that 0.1% (v/v) acetic acid in water was used as a mobile phase For
quan-tification of AA the area ratio of m/z 55/58 (analyte/AA-2H3) was used, and concentrations were calculated against a stan-dard curve (4, 8, 40, 400 and 4000 ng ml−1) Ion-suppression
AA-13C1to 200l of the extract just before LC-MS/MS
analy-sis The ion-suppression was calculated as the relative difference
com-pared with those obtained for standard solutions
For calculations of the AA losses, the area ratio of m/z 56/58
was compared with the expected ratio
Naturally occurring13C in native AA contributes to the mea-sured level of the second internal standard (13C1-AA) For the samples with the highest AA levels (giving the greatest potential contribution of13C from native AA), in this work potato crisp samples (∼1500 g kg−1AA), this contribution was always less than 8%
2.4.2 Stepwise study of extraction parameters
The experiments were performed in a stepwise study con-sisting of four different steps The software package Minitab® 12.22, State College, PA, USA, was used to create experimental designs and to evaluate the results
2.4.2.1 Screening experiment (step I) Two different
experi-mental designs were used, one with four factors (design (1a) for foods with only fine particles,Table 1) and one with six factors (design (1b) for foods homogenised into fine or coarse particles,
Table 2) The experiments were performed without replicates
Table 1
Factors, levels and acrylamide results for design (1a)
Defatting Extracion solvent Extraction time (min) Extraction temperature ( ◦C) AA results (g kg −1)
Coffee Potatoes
Coffee and raw fructose-enriched mashed potatoes were the tested foods, consisting of only fine particles A fractional factorial design (resolution IV) without replicates was used, which resulted in 8 experiments per foodstuff.
Trang 4Table 2
Factors, levels and acrylamide results for design 1b
Particle size Defatting Extraction
solvent
Ultra Turrax Extraction
temp ( ◦C) Extractiontime (min) Block AA results (g kg −1)
Crispbread Milk chocolate Potato crisps
Crispbread, milk chocolate and potato crisps were the tested foods, homogenised into fine or coarse particles A fractional factorial design resolution IV was used, which resulted in 16 experiments per foodstuff The design was blocked into two blocks.
and central points To determine the experimental errors,
sepa-rate experiments with replicates were utilized For design (1a),
five replicates were made with defatting, 40% MeOH as an
extraction solvent, 32.5 min extraction time and 42.5◦C
extrac-tion temperature The foods with design (1b) were further
inves-tigated in step II with a design that included replicates (Table 3),
from which the experimental error was estimated In both cases,
the standard deviation (S.D.) for replicates was obtained with
four degrees of freedom The influence of the experimental error
on the effects is given by S.D.eff=√
[(4× S.D.2)/n], where n is
the number of experiments in the design (8 and 16, respectively,
for designs (1a) and (1b)) From S.D.eff the significance level
(p-value) and least significant value for the effects were
calcu-lated
2.4.2.2 The interaction between particle size and Ultra
Tur-rax homogenisation (step II) A full factorial replicated design
(design 2 for foods homogenised into fine or coarse particles,
Table 3
Factors, levels and acrylamide results for design 2, without defatting and using
water as extraction solvent at 42.5 ◦C for 32.5 min
Design 2 AA results ( g kg −1)
Particle size Ultra Turrax Crispbread Milk chocolate Potato
crisps
Crispbread, milk chocolate and potato crisps were the tested foods, homogenised
into fine or coarse particles A full factorial design with replicates was used,
resulting in eight experiments per foodstuff.
Table 3) was used to evaluate the interaction between the two factors
2.4.2.3 Optimisation of quantitative factors (step III) A full
factorial design with replicates was used to optimise extraction temperature and time Two different temperatures and four dif-ferent times resulted in eight difdif-ferent combinations
2.4.2.4 In-house comparison between optimised and estab-lished in-house method (step IV) The estabestab-lished in-house
method was similar to the typical sample extraction method described in the procedures section, with a few exceptions: no defatting was used, water was used as an extraction solvent and the sample was only extracted with an Ultra Turrax homogeniser (2 min, 9500 rpm), not shaken in an incubated shaker[13,15] The optimised method was also similar to the typical sample extraction method, but comprised water as an extraction sol-vent, small sample particles and horizontal shaking for 45 min
at 100 rpm and 25◦C, omitting defatting.
3 Results and discussion
3.1 Stepwise study of extraction parameters
The study comprised four consecutive steps Step I was an initial screening experiment to examine the importance of six typical extraction factors (chosen by considering commonly used methods[3,4,6,17]): particle size, defatting, extraction sol-vent, Ultra Turrax homogenisation, extraction temperature and extraction time With this experiment the optimal level for the qualitative factors (i.e all factors except temperature and time) was established In step II, a study on the interaction between particle size and Ultra Turrax homogenisation was investigated
to find out if the use of Ultra Turrax was necessary for small particles The quantitative factors (i.e temperature and time)
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were optimised in step III Finally, in step IV the new optimised
extraction method was compared with the established in-house
method The results were also compared with the assigned
val-ues of proficiency test samples
The AA concentrations were measured with LC-MS/MS
(using an internal standard) after SPE clean-up In addition, AA
losses and ion suppression were determined in steps I and II by
the use of a second internal standard added to the sample extract
prior to LC-MS/MS analysis In all the steps, attention was paid
not only to finding optimal settings, but also to identifying
pos-sible extraction pitfalls that lead to incomplete extraction, for
example, or undesired formation of AA during the extraction
The foods tested were coffee, crispbread, milk chocolate and
potato crisps, all relevant foods giving large contributions to the
coffee and milk chocolate have been identified as problematic
(asparagine) and reducing sugars at temperatures above 100◦C
has been suggested as a major formation pathway for AA in
heated foods[21–23] Sugar is the limiting factor for AA
forma-tion in potatoes, whereas asparagine is in excess[24] Therefore,
raw mashed potatoes, containing 2% added fructose, was used
as a blank to reveal any formation of AA during the extraction
Fructose was selected as it has been shown to be the most
effec-tive sugar for AA formation[25,26]
3.1.1 (I) Screening step
3.1.1.1 Formation The raw, sweetened mashed potatoes used
as a blank showed no quantifiable (i.e <5g kg−1) response,
not even when using 80% methanol in combination with a
high temperature (60◦C) and a long extraction time (60 min).
This specific combination could be interesting because reports
of AA formation during extraction so far involve organic
sol-vents [7,11] In order to further examine possible formation,
some additional experiments were carried out with seven
dif-ferent organic extraction media: 80% methanol, 90% methanol
and 100% methanol, 2-propanol, ethanol, acetonitrile and ethyl
acetate under similar conditions (no defatting, no Ultra Turrax
homogenisation, extraction time 60 min, extraction
tempera-ture 60◦C) However, these experiments showed no quantifiable
signs of formation, not even when injecting three times the
nor-mal amount of extract into the LC-MS/MS system in order to
increase the sensitivity Possible formation of AA when using
even longer extraction times combined with a high extraction
temperature was further investigated in step III, but then only
with water as the extraction solvent
Since formation of AA under the conditions used in step I
could not be shown, all low AA levels obtained in step I were
considered as incomplete extraction (as discussed in the
follow-ing section)
3.1.1.2 Impact of the extraction factors The levels of the
extraction factors were chosen by considering commonly used
methods[3,4,6,17] Since only two levels for each factor were
used, these had to be chosen realistically and at the same
time had to be “extreme” enough to give decisive effects
The factors and levels for designs (1a) and (1b) are shown
Fig 1 Relative effects of extraction factors’ (effect divided by mean value) on
AA yield A positive value corresponds to increased AA yield for the factor level indicated in the label To be significant at the 1% level, the size of an effect must exceed the significance limits shown to the right.
inTables 1 and 2, respectively, together with the correspond-ing individual AA results The AA levels obtained were in the
for potato crisps The lowest AA results were obtained with 80% methanol as the extraction solvent in combination with other unfavourable conditions, e.g short extraction time and coarse particles Results from the statistical evaluation of the designed study are shown inFig 1, showing the relative effects (effect divided by mean value) on the AA yield for the different extrac-tion factors The overall pattern is fairly similar for the different foods, indicating the possibility of a generic extraction proce-dure for a majority of food types The 1% significance level for each factor (the least significant effect) is also indicated, based
on analytical variability estimates obtained with four degrees of freedom A 1% significance level was found to be more relevant than a 5% significance level, as the replicate experiments were made under repeatability conditions and were separated from the experimental design The RSD values were: 4% (coffee), 2% (crispbread), 13% (milk chocolate) and 6% (potato crisps) The absence of significant effects with chocolate is partly explained
by the higher analytical variability for this item, probably due
to its low AA content
3.1.1.2.1 Defatting. The use of defatting with cyclohex-ane had in most cases no significant effect on the AA yield, not even for fatty matrices It showed, however, significance
rea-son for this negative effect is unknown Defatting was accom-plished in the same tube as the extraction and the cyclohexane was left in the tube throughout the whole extraction (giving a two-phase extraction step) The risk for loss of sample prior
to extraction that could otherwise occur when the solvent was removed was thereby minimised Defatting did not show any benefits for the MS detection in this work Nevertheless, it might have other advantages, for example, longer lifetime of the HPLC-columns and prevention of clogging/overloading the SPE-columns Defatting of samples prior to AA analysis is com-mon practice; for example, 37 out of 72 laboratories used it in
a proficiency test evaluated in 2004[6], but no systematic study has so far been performed to demonstrate its feasibility
Trang 63.1.1.2.2 Sample particle size. This factor had a
signifi-cant effect for the samples with a big difference between the fine
and coarse particle portions, e.g potato crisps and crispbread
Therefore, it was concluded that it is important to use sufficiently
small particles (<1000m) in order to obtain adequate
extrac-tion yield However, samples containing very fine particles can
be difficult to disperse and might also clog the SPE-columns In
our laboratory, sample disintegration is routinely accomplished
by using a food-processor Other possibilities might include
grinding in a laboratory mill or freeze-drying followed by
pul-verisation
3.1.1.2.3 Homogenisation by Ultra Turrax. Wet
homo-genisation and vigorous mixing of the sample in extraction
sol-vent for 2 min with an Ultra Turrax prior to the general extraction
step gave significant positive effects with potato crisps and
crisp-bread The need for Ultra Turrax homogenisation was further
investigated in step II, as discussed later
3.1.1.2.4 Extraction solvent. This factor showed
signif-icance for all the foods except milk chocolate In general,
pure water enabled higher AA recovery compared to 80%
methanol The use of pure water gives effective extraction of
AA, but also coextraction of other unwanted compounds in the
matrix (e.g salts, proteins, carbohydrates), which might
inter-fere with the detection and degenerate the chromatographic
system, if not removed by clean-up Varying results
concern-ing the choice of extraction solvents have been presented by
other authors One group tested accelerated solvent extraction
led to incomplete extraction of AA from cacao and milk
Another group tried soxhlet extraction of potato crips at 60◦C
BfR, various methods using organic solvents during extraction
of cocoa powder generally led to higher AA results compared
organ-ised by JRC, extraction of crispbread and butter cookies with
mixtures of water and organic solvents seemed to give higher
results than extraction with pure water or pure organic
sol-vents [6] However, it might be difficult to draw conclusions
about the influence of single factors in proficiency tests, as
other factors at the same time may differ considerably between
laboratories (e.g one laboratory using water extraction and
LC-MS and another laboratory using organic solvent extraction
and direct GC-MS) Nonetheless, pure water seems to be the
most popular extraction solvent, for example, it was used by
more than 50% of the laboratories in the two proficiency tests
[4,6]
3.1.1.2.5 Extraction temperature. This factor showed
sig-nificance for all the food samples except milk chocolate
Extrac-tion at 60◦C gave higher extraction recovery compared to 25◦C.
This issue is further discussed in step III
3.1.1.2.6 Extraction time. By using a long extraction time
of 60 min, higher extraction recovery was obtained than when
using 5-min extraction The effect was significant for all the food
samples except milk chocolate This issue is further discussed
in step III
The screening experiment, step I, was set up to get “clean” main factors with resolution IV (i.e not to be confounded with two-factor interactions) From the results of step I, the most important main factors could be identified, and the qualitative part of them could be set to their optimal level The quantitative factors were then later optimised in step III
As a consequence of the rather low resolution, the two-factor interactions in step I were confounded with at least one other two-factor interaction It was not possible to resolve the inter-actions, and therefore no further conclusions were drawn about them
3.1.2 (II) The interaction between particle size and Ultra Turrax homogenisation
This study was performed to find out if there was an interac-tion between Ultra Turrax homogenisainterac-tion and particle size, or more specifically if the Ultra Turrax effect would appear only with coarse sample particles This possible interaction could not
be evaluated in design (1b), as discussed above
The results from step II (raw data shown inTable 3), evalu-ated with a 1% significance-level, showed significantly higher extraction yield of AA from crispbread and potato crisps when using fine particle size For milk chocolate, there was no signif-icant effect, probably because of the small difference between the fine and coarse particle portions However, under the experi-mental conditions employed in this step, further homogenisation
by Ultra Turrax gave no significant effect either with coarse or fine particles for any of the food items The explanation for this apparent inconsistency with the results obtained in step I is probably related to the fact that in step II the other qualitative factors were set to their optimal level, e.g water was used as the only extraction solvent, and the quantitative factors were set to their central point value Thus, if there actually was an interac-tion between Ultra Turrax and some other factor(s) than particle size, that effect could not be detected in step II
3.1.2.1 suppression and AA losses in steps I and II
Ion-suppression, i.e a lower detector signal from samples than from standard solutions, caused by matrix effects in the MS interface,
is a common problem in LC-MS The use of a second isotope labelled AA, in addition to the normal internal standard, made it possible to estimate the degree of MS ion-suppression for the dif-ferent samples and extraction conditions This second standard, AA-13C1, was added to the final extract just prior to the LC-MS/MS step The results showed that the ion-suppression was matrix-dependent, while the different extraction factors, includ-ing defattinclud-ing, showed no significant effect (data not shown) Mashed potatoes and potato crisps showed no ion-suppression while crispbread and coffee gave 20–50% and 30–40% suppres-sion, respectively Milk chocolate surprisingly demonstrated a higher signal (10%) than the standard solutions Ion-suppression
is, amongst other things, dependent on the concentration of the extract and the type of matrix In the sample preparation meth-ods used in this paper, the 4 g samples (crispbread and mashed raw potato) were concentrated about 10–15 times and the 2 g samples (coffee, milk chocolate and potato crisps) about two to three times during SPE clean-up and evaporation Stronger
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suppression was, as expected, found in the more concentrated
samples (e.g crispbread), but also in known difficult matrices
like cocoa[19]and coffee[19,20]
The two differently labelled AA internal standards were also
employed to estimate the losses of AA during extraction and
work-up The losses for coffee, milk chocolate and potato crisps
were between 0 and 20%, while crispbread and raw potatoes
showed somewhat higher losses of 30–35% The reason for the
difference between these two groups of matrices was
proba-bly that the SPE clean-up step differed slightly for them (see
Section2) The experiment did not directly enable
differenti-ation between losses occurring during the extraction step (e.g
by degradation or reaction of AA with matrix components) and
losses due to incomplete recovery during the subsequent SPE
work-up of the extracts However, since the losses measured
were similar to those observed during the earlier method
devel-opment of the SPE step, it was concluded that deterioration of
AA during extraction was negligible under the conditions used
in the present study
Since an internal standard is normally used, ion suppression
and/or varying extraction yields will have little impact on the
quantification of AA, although both might negatively affect the
detection limit and the precision at the lower end of the working
range The lack of any special problem caused by extra extraction
of salts, proteins, carbohydrates, etc., is probably due to the use
of an effective two-stage SPE clean-up No interfering peaks
were found, and ion-suppression was never greater than 50%
for problematic matrices like coffee
3.1.3 (III) Optimisation of quantitative factors
This step was performed to optimise the quantitative factors
used in steps I and II, which were extraction time and extraction
temperature All qualitative factors were set to their optimal
levels (i.e fine particles were extracted with water, omitting
defatting and Ultra Turrax.) All food samples from groups (1a)
and (1b) were studied The temperature was set to 25 and 60◦C
and the time was set to 30, 60, 120 min and, as an extreme value,
overnight (17 h) A set-up corresponding to a full factorial design
with replicates was used, and the results are shown inFigs 2–5
3.1.3.1 Raw potato No AA formation (i.e <5g kg−1) could
Fig 2 Extracted amount of AA from coffee depending on time and temperature.
The error bars indicate 5% significance level.
Fig 3 Extracted amount of AA from crispbread depending on time and tem-perature The error bars indicate 5% significance level.
Fig 4 Extracted amount of AA from potato crisps depending on time and temperature The error bars indicate 5% significance level.
overnight and injecting triple the normal amount of extract into the LC-MS/MS system to increase the sensitivity
3.1.3.2 Coffee, crispbread and potato crisps Raising the
recovery, as can be seen inFigs 2–4 Moreover, a plateau value was reached already at the shortest time studied, i.e after 30 min This result is in agreement with another study, where no increase
in AA yield was found for potato crisps extracted with water in
a 60◦C ultrasonic bath for 15, 30 and 60 min[11].
3.1.3.3 Milk chocolate The only notable effect when
increas-ing the extraction temperature and time was found for milk
Fig 5 Extracted amount of AA from milk chocolate depending on time and temperature The error bars indicate 5% significance level.
Trang 8a long extraction time at 60◦C (51% from 30 min to 17 h).
This increase could be the result of either AA formation or of
incomplete extraction Acrylamide might be entrapped in the
matrix and the extraction solvent needs both a long time and a
high temperature to penetrate the structure However, defatting
and two-phase extraction with cyclohexane did not increase the
extractability in the step I experiment Furthermore, no
signif-icant effect could be seen for milk chocolate in step I when
changing temperature or time, and nearly the same AA values
were reached already after 5 min in step I as after up to 2 h in step
III Not even extraction overnight at 25◦C increased the yield.
This suggests that extraction of AA is quite easy from this matrix,
and that the higher levels reached at 60◦C over night (17 h)
might implicate formation Although no AA was detected in the
fructose-enriched potato tissue in the present experiment,
forma-tion in chocolate might occur via a different reacforma-tion mechanism
enabling formation at 60◦C Formation at such a low
tempera-ture has previously been demonstrated, e.g in foods containing
excluded in the present experiment Therefore, 25◦C is
prefer-able as a generic extraction temperature The results from the
milk chocolate experiments can be used as base for further
inves-tigations of time/temperature effect on different brands of milk
chocolate along with pure cocoa powder Furthermore,
inves-tigations of the impact of high/low pH on the release of AA
from this matrix might be of use to study possible formation
mechanisms differing from those already known
3.1.4 (IV) In-house comparison between optimised and
previously used extraction method
Optimised method Based on the knowledge gained so far
in this study, a simple, optimised extraction method was
estab-lished It consisted of pre-grinding of samples to a particle size of
1000m or smaller followed by extraction with water at 25◦C
for 45 min using a horizontal shaker (100 rpm)
The performance of the optimised extraction method was
finally evaluated through analysis of a number of samples
from previous proficiency tests The new procedure was used
in parallel with the extraction procedure of an established
in-house analytical method, both utilising SPE clean-up of
and their AA levels (optimised method result and assigned
value, respectively) were: breakfast cereal (58 and 61g kg−1),
cocoa powder (101g kg−1; no assigned value), coffee (252 and
258g kg−1), coffee extract (867 and 858g kg−1) and
cof-fee surrogate (1356 and 1334g kg−1) Good linear correlation
(R2= 1; slope = 0.98; intercept = 8) was obtained when
compar-ing AA levels measured with the optimised extraction method
directly against the assigned values of the samples from the
pro-ficiency tests The results of the optimised extraction method
were also well correlated with those of the established method
(R2= 0.998; slope = 0.93; intercept = 17) A major advantage of
the optimised method is the higher sample throughput and less
manpower needed due to its automated nature The use of an
automated shaker allows the unattended extraction of more than
50 samples at the same time, and a time-consuming cleaning of
equipment between samples is not needed
4 Conclusions
The present study demonstrates that AA can be efficiently extracted from various food matrices using plain water The use
of aqueous alcohol as the extraction solvent, or removal of fat by
an organic solvent, gave negative or non-significant effects on the extraction yield Disintegration of the samples to small particles prior to extraction made additional homogenisation and vigor-ous mixing by Ultra Turrax unnecessary Quantitative extraction was achieved by gentle mixing at room temperature, and sta-ble results were obtained when the extraction time was varied between 30 min and 17 h
In general, the results from the optimisation experiments indicate that incomplete extraction is the most likely cause of erroneous results in the extraction of AA This might occur when the food is not finely divided enough, when using organic solvent extraction, a short extraction time and a low extraction temper-ature, in particular when using these factors in combination Other possible error sources might be the destruction or for-mation of AA during the extraction procedure Forfor-mation was not seen under any of the experimental conditions employed when a fructose-enriched blank potato tissue was extracted However, increased AA levels were noted at prolonged extrac-tion times when a chocolate sample was extracted at 60◦C for
up to 17 h It was concluded that the destruction of AA during extraction and work-up was small or absent for the investigated foods
Based on these results, an optimised extraction procedure was devised that should be suitable for a wide range of food matrices The method consisted of the use of disintegrated (particle size
<1000m) samples, water as the extraction solvent and with
shaking of the sample horizontally (100 rpm) at 25◦C for 45 min. This is a gentle and simple method without organic solvents It allows for a high sample throughput since multiple samples can
be extracted in parallel
In order to fully utilise this optimised extraction procedure,
it should ultimately be combined with optimised clean-up and chromatography/detection-steps In the present study, the new extraction procedure was employed within an established in-house LC-MS/MS method using an effective two-stage SPE clean-up of extracts Analytical results correlated well with those obtained by the original, more labour-intensive, extraction pro-cedure and there was excellent agreement with the assigned AA levels of several proficiency test samples analysed for evalua-tion
Acknowledgements
Special thanks to colleagues at the Swedish National Food Administration: Birgitta Hellkvist for assistance with some of the SPE clean-up, and Carina Branzell for help during the homogenisation of the potatoes The authors would also like to thank Ann-Christine M˚artensson (Swedish University of Agri-cultural Sciences) for assistance during the stack-sieving This work has been carried out with support from the European Commission, Priority 5 on Food Quality and Safety (Contract
no FOOD-CT-2003-506820 Specific Targeted Project),
Trang 9‘Heat-E.V Petersson et al / Analytica Chimica Acta 557 (2006) 287–295 295
generated food toxicants—identification, characterisation and
risk minimisation’ This publication reflects the author’s views
and not necessarily those of the EC The information in this
doc-ument is provided as it is and no guarantee or warranty is given
that the information is fit for any particular purpose The user
thereof uses the information at their sole risk and liability
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