
Web Release Date: June 30,
-Tocopherol as a Marker of Brazilian Coffee (Coffea arabica
L.) Adulteration by Corn
NCAUR, Agricultural Research Service, U.S. Department of Agriculture, 1815 North University Street, Peoria, Illinois 61604
Received for review April 3, 2007. Revised manuscript received May 23, 2007. Accepted May 24, 2007. This study was supported in part by CAPES (Coordenação de Aperfeicoamento de Pessoal do Ensino Superior)/Brazilian government through a scholarship to G.N.J. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture.
Abstract:
The adulteration of coffee with cereals, coffee twigs, etc. is apparently widespread in Brazil with corn
being considered the most widely used. No adequate methods are available to detect such
contamination in commercial coffee. A new method, based on high-performance liquid chromatography
(HPLC) tocopherol determination was developed to detect coffee adulteration by corn. Percentages
of
-,
-,
-, and
-tocopherol determined by HPLC in six coffee varieties were 29.0, 61.7, 3.3, and
6.0, respectively. Similar values were obtained in six popular coffee brands. The percentages of
-,
-, and
-tocopherol in six corn samples were 3.6, 91.3, and 5.1, respectively. These differences
could be applied to detect corn in a pure coffee sample intentionally contaminated with corn with the
best result obtained with
-tocopherol. With this methodology, one coffee brand was apparently
adulterated (8.9%), most likely with corn. Tocopherol fingerprinting offers the potential to detect
adulteration.
Keywords: Coffee; adulteration; corn; tocopherols
There are several coffee species but only Coffea arabica and Coffea canephora (robusta) or their blends are used to obtain most roasted coffee. C. arabica has a higher commercial value than C. robusta due to its pronounced flavor, and it is speculated that it is adulterated with lower priced adulterants, that is, cereals, coffee twigs, coffee, brown sugar, etc. (1). The Association of the Brazilian Coffee Industry considers adulteration one of the most serious problems affecting Brazilian coffee quality. However, there is no official data since adequate methods to detect contamination have not yet been developed.
Methods to determine food authenticity have recently been
reviewed and include spectroscopy (ultraviolet, near and midinfrared, visible, and Raman spectroscopy), isotopic analysis,
chromatography, electronic nose, polymerase chain reaction,
enzyme-linked immounosorbent assay, thermal analysis, and
chemometrics (2). Few studies have been conducted with coffee.
Among the methods available for determination of adulteration
are digital imaging (1, 3)
Most studies on coffee adulteration have attempted to
distinguish C. arabica from C. robusta using chemical parameters, that is, diterpenic alcohols (9), sterols (10, 11)
Several adulterants of widely differing chemical compositions, ranging from the less expensive coffee species (C. robusta), cereals (corn, soybean, etc.), grains, carbohydrates, coffee twigs, caramel, etc. are apparently used. This is further complicated by the fact that several varieties of both coffee and adulterants could be used. Environmental and processing effects on the chemical compositions of coffee and adulterants are unknown. Little or no literature on coffee adulteration could also be another limiting factor. Given the complexity of the problem, it was apparent that specific methodology would have to be developed for each adulterant. This would be very time-consuming and tedious. Our short-term goal was to develop methods to determine coffee adulteration, and we chose to initially investigate corn as it is apparently the most widely used due to its significantly lower cost.
In this study, tocopherols were analyzed in six Brazilian
coffee (C. arabica L.) varieties (Catuaí, Catuca, Burbourn,
Mundo Novo, Rubí, and Top
zio), six commercial coffee (C.
arabica) brands, one pure commercial coffee (C. arabica L.)
sample intentionally adulterated with roasted corn (5, 10, and
20%, w:w, corn:coffee), and six roasted corn samples. On the
basis of these values, a new method to detect adulteration of
commercial coffee with corn is reported.
Chemicals. HPLC grade hexane and 2-propanol were purchased
from Sigma-Aldrich, Inc. (St. Louis, MO). Tocopherol standards (
97%
purity) were obtained from Matreya, LLC (Pleasant Gap, PA).
Coffee and Corn Samples. The roasting, grinding, and extraction processes described below were performed in triplicate for each sample and/or variety.
Six Coffee Varieties (Samples 1-6). About 1 kg of six green coffee
(C. arabica) bean varieties (Catuaí, Catuca, Burbourn, Mundo Novo,
Rubí, and Top
zio) was supplied by Incofex Inc. (Viçosa, MG, Brazil).
The samples were divided into roughly three equal parts. Each part
was roasted at 180
C for 10 min in a coffee roaster with three burners
(Jcarmo, Sao Paulo, Brazil, model tp-3) and ground in a coffee grinder
(Jcarmo, model RA 23-E).
Commercial Coffee (Samples 16-21). One kilogram of six roasted and ground coffee (C. arabica) brands was purchased from a local supermarket in Viçosa, MG, Brazil. All samples were divided into roughly three equal portions.
Intentionally Adulterated Coffee (C. arabica) (Samples 13-15). Commercial coffee (sample 21) was mixed with 5, 10, and 20% (w:w, coffee:corn) of ground roasted corn to yield samples 13-15, respectively.
Commercial Corn (Samples 7-12). One kilogram of six commercial unroasted corn samples was randomly selected from a local supermarket in Viçosa, MG, Brazil. All of the samples were divided into roughly three equal portions, roasted, and ground under the conditions utilized for coffee as previously described.
Oil Extraction. About 10 g of all of the samples was extracted with
hexane in a Soxhlet extractor overnight to obtain oils, which were sealed
under N2 and stored in a freezer (-5
C) until HPLC analysis.
HPLC Analysis. The oils were weighed, diluted in hexane to a
concentration of 10-15 mg/mL, and filtered through 0.45
m
centrifugal filters (National Scientific, Rockwood, TN) for HPLC
analysis. Tocopherol HPLC analysis was performed according to the
AOCS official method Ce 8-89 (19). The HPLC system consisted of a
Varian (Varian, Inc., Palo Alto, CA) Pro-Star pump, autosampler, and
fluorescence detector. The mobile phase consisted of hexane:2-propanol
(99.5:0.5 v/v, made fresh daily) pumped at 1 mL/min. Samples were
injected by autosampler using the full loop option (100
L), and
tocopherols were separated using an Inertsil (Varian, Inc), silica column
(5
m, 150 Å, 250 mm × 4.6 mm i.d.). The fluorescence detector was
set with an excitation wavelength of 290 nm and an emission
wavelength of 330 nm. Data collection and integration were performed
with Varian Star Chromatography version 6.0. Tocopherol peaks were
identified by retention times of known standards. A mixture of
-,
-,
-, and
-tocopherol standards was injected on each day of analysis to
verify HPLC performance.
Quantification of Tocopherols in Coffee and Corn Samples. Two
types of quantification were carried out. In the first, the relative area
percentages for
-,
-,
-, and
-tocopherol were determined by
dividing each peak area by the sum of the tocopherol peak areas and
multiplying by 100. In addition, the external standard method was used.
Linear standard curves (R2 > 0.99) of concentration vs peak area were
generated using duplicate injections of
- (0.5-50
g/mL),
- (0.2-8
g/mL),
- (0.5-40
g/mL), and
-tocopherol (0.1-40
g/mL). The
lowest concentration for each tocopherol used in the standard curve
was chosen as the lower limit of detection.
Determination of Corn Adulteration in a Commercial Coffee
Sample (Sample 18). Quantification of corn in a commercial coffee
sample with a higher relative area percentage of
-tocopherol was
obtained from a calibration curve. This curve was constructed by
plotting the % (5, 10, and 20, w:w, corn:coffee) of roasted corn added
to a noncontaminated roasted commercial coffee sample vs average
relative percentage of
-tocopherol in the intentionally adulterated
coffee:corn mixtures.
Statistical Analyses. Data were imported into SAS for Windows
version 9.1 (SAS Institute, Inc., Cary, NC) for statistical analysis. The
effect of variety, or sample when variety was unknown, on contents
(mg/kg) and relative area percentages of
-,
-,
-, and
-tocopherols
for the different Brazilian C. arabica coffee varieties, the Brazilian
commercial coffees, the Brazilian corn, and the corn-contaminated
coffee samples were compared using one-way analysis of variance.
Means were compared using Duncan's multiple range test; the
significance was determined by p value < 0.05. Linear regression
analysis with area % of
-,
-, or
-tocopherol as the dependent variable
was used to analyze the effect of corn contamination levels on the
relative area % of the tocopherols. The parameter estimates generated
for
-tocopherol were used to estimate the level of contamination of
corn in one commercial coffee sample (sample #18) that had a
significantly higher relative area percentage of
-tocopherol.
Despite complex chemical coffee compositions (20), typical
HPLC traces obtained on analysis of crude coffee (Figure 1A)
and corn (Figure 1B) extracts were quite simple. Under these
conditions, the four tocopherols eluted before 20 min. There
are often problems separating
- and
-tocopherol, but under
these conditions, they were almost completely baseline resolved
at 10.8 and 11.8 min, respectively. There was a large peak
present in all samples, including both roasted coffee and corn,
which eluted immediately after
-tocopherol but was sufficiently
resolved that it did not interfere with quantitation. As it can be
seen from Figure 1A,B, significant differences were observed
between coffee and corn tocopherols, which were used to
develop a new methodology to detect corn adulteration in coffee.
Tocopherol Content of Six Brazilian Coffee Varieties. The
relative area percentages of tocopherols in the six roasted
Brazilian coffee varieties are presented in Table 1.
Relative area
percentages of
-,
-,
-, and
- tocopherols of Catuaí, Catuca,
Burbourn, Mundo Novo, Rubí, and Top
zio varied between 27.6
and 29.8, 61.1 and 63.2, 2.4 and 4.3, and 5.3 and 7.2,
respectively (Table 1). In all cases, the area percentage of the
tocopherols decreased as follows:
>
>
>
. The
concentrations of
-,
-,
-, and
-tocopherol in the coffee oils
varied between 373 and 475, 491 and 659, 34.6 and 61.9, and
24.6 and 31.7 mg/kg, respectively (data not shown). In all
varieties, the concentration of the tocopherols decreased as
follows:
>
>
>
. This order was reversed for
- and
- tocopherols when absolute concentrations were considered
because the response factor (i.e., the slope of the standard curve)
was higher for
- as compared to
-tocopherol. The relatively
high contents of
- and
-tocopherol and low
- and
-tocopherol contents in coffee have been verified by several other
studies. Values ranging between 89 and 188 mg/kg of
-tocopherol and 252-530 mg/kg of
- and
-tocopherols (these two
were unresolved by thin-layer chromatography or gas chromatography) were reported in oil extracted from green coffee beans
of both C. arabica and C. robusta varieties (21). Tocopherols
in green and roasted coffee beans from 14 countries and in 43
different instant coffees presented
- and
-tocopherol ratios
similar to our study, but
- or
-tocopherols were not detected
(22). Ratios of
-,
-, and
-tocopherols in different varieties
of coffee beans were approximately 2:4:0.1 with no
-tocopherol
(23). Tocopherols in coffee from several countries were reported
with
>
>
-tocopherol contents in green C. arabica and
C. robusta beans but found that
-tocopherol increased to ratios
higher than
-tocopherol in roasted beans (17). The dramatic
increase in
-tocopherol content in roasted coffee beans in that
study is confounding since no other studies have reported such
high concentrations of
-tocopherol. In many of the above
studies, the coffee variety was not specified.
There was no significant effect of variety on the relative area
percentages of
-,
-, and
-tocopherols, indicating that the
tocopherol profile is relatively constant among these varieties
of Brazilian coffee. There was a significant effect of variety on
the relative percentage of
-tocopherol, mainly due to the lower
area percentage in the Top
zio variety. Among all varieties,
the average percentage of
-tocopherol was 3.3 ± 1.1%.
Tocopherol Content of Six Roasted Brazilian Corn Samples.
The relative area percentages of tocopherols in the six roasted
Brazilian corn samples are presented in Table 2
. In all samples,
-tocopherol was the major component, accounting for about
90% of the total tocopherols, and in all samples, the concentration of tocopherols decreased as follows:
>
>
. The
concentration of
-,
-, and
- tocopherols for the six corn
samples varied from 65.3 to 112, 905 to 1124, and 29.5 to 41.0
mg/kg, respectively (data not shown). Once again, absolute ratios
of tocopherols changed (
>
>
) as compared to the relative
percentages because
-tocopherol had a higher response factor
than the other tocopherols. The tocopherol profiles of these corn
samples are in agreement with other studies of tocopherols
obtained from hexane-extracted corn kernels (24) and are also
similar to commercial corn oil tocopherol composition (25).
Corn sample did not have a significant effect (p < 0.05) on
tocopherol relative area percentages.
Tocopherol Content in Coffee Contaminated with Corn.
The results described above indicate that there are major
differences between coffee and corn in tocopherol profiles as
well as contents of individual tocopherols, especially in
-tocopherol. To verify whether it would be possible to detect corn
in coffee, we intentionally adulterated a pure commercial coffee
sample (sample 21) with ground, roasted corn. The % contamination was arbitrarily chosen and based on the supposition that
it had to be sufficiently high for a financial return but at the
same time could not be too high as to significantly alter the
coffee's flavor. As we have seen, tocopherol content is affected
by variety in both coffee and corn, and tocopherols are also
susceptible to loss through oxidation and heat (26); thus, the
tocopherol content in coffee could also be influenced by
processing and storage parameters. Therefore, we determined
that the most straightforward method for detecting corn contamination would be to focus on changes in the tocopherol peak
area percentages rather than on total tocopherol content. The
data obtained with intentional adulteration of 5, 10, and 20%
roasted corn are presented in Table 3
along with a representative
chromatogram in Figure 1C. The chromatogram shows an
increase in
-tocopherol as compared to pure coffee samples.
As expected, changes in relative tocopherol percentage were
recorded with the four tocopherols. For
-tocopherol, no
significant differences (p < 0.05) in relative tocopherol percentage were recorded between the samples intentionally contaminated with 5 and 10% roasted corn from the original (uncontaminated) coffee. However, coffee contaminated with 20% corn
was significantly (p < 0.05) lower in
-tocopherol, which is
what might be expected since corn had a lower absolute and
relative
-tocopherol as compared to coffee. For
-tocopherol,
the samples contaminated with 5 and 10% corn were significantly lower than the original, and the sample contaminated with
20% corn was significantly lower than all three. This is also as
would be expected, since no
-tocopherol was detected in the
roasted corn. The percentage of
-tocopherol, as expected,
increased significantly in the contaminated samples as compared
to the original, with no difference between 5 and 10% levels of
contamination but a significant increase at the 20% level. There
was no pattern of change in levels of
-tocopherol with corn
contamination, most likely because both absolute and relative
percentage levels of this tocopherol are similar in coffee and
corn. Linear regression analysis of
-,
-, and
-tocopherol
changes in response to corn contamination all resulted in
significant parameter estimates (data not shown), but the best
response was obtained with
-tocopherol. The linear increase
obtained with the increase in the % of corn added could be
described by the equation: Y = 3.30 + 0.378 × X, where Y is
the relative area percentage for
-tocopherol and X is the level
of corn contamination. The standard error for the intercept and
the slope are 0.49 and 0.04, respectively, and the correlation
coefficient (R2) is 0.8848. Hence, it appears that
-tocopherol
fingerprinting presents the potential as a marker to detect corn
adulteration.
Tocopherol Content in Six Commercial Brazilian Coffees.
The tocopherol composition of the six commercial Brazilian
coffees is presented in Table 4
. Relative area percentages of
the four tocopherols in most samples were very similar to those
seen in the coffee varieties that were roasted in-house. The
average area percentage of
-tocopherol was slightly higher
(33.0 ± 3.8) in the commercial samples as compared to the
in-house samples, and the
-tocopherol average was lower. Also,
the variability among the commercial samples was higher. This
could be related to processing conditions (roasting, storage,
handling, etc.) used by different manufacturers. The tocopherol
profile showed
>
, while
- and
-tocopherols were more
similar to each other. Concentrations of
-,
-,
-, and
-tocopherols varied between 349 and 825, 455 and 749, 31.9
and 113, and 5.37 and 21.7 mg/kg, respectively (data not
shown). The coffee sample had a significant effect (p < 0.05)
on the concentrations and relative area percentages of
-,
-,
and
-tocopherols. However, concentration and relative area
percentage of
-tocopherol were the same in all but one of the
six commercial brands; only sample 18 presented a significantly
higher (p < 0.05) content and relative area % of
-tocopherol,
as compared to the other samples. This indicates that this sample
may be adulterated with a contaminant such as corn that is
higher in
-tocopherol than coffee. On the basis of this value
and our linear regression model for corn contamination vs
-tocopherol levels in coffee, this sample could be considered
to be adulterated with 8.9% corn.
Results reported in this study should be considered somewhat
preliminary but important. Several factors, that is, variety,
sample origin, storage, processing etc., which could affect
tocopherols, should be examined in details. These very large
numbers of factors forced us to limit our sample size in this
study. Despite this limitation, the method described is a
significant improvement over the literature methods to detect
corn adulteration in coffee because it is simple; the steps involve
extracting oil and diluting for HPLC analysis, and no timely
quantitation is necessary. In addition, this method offers some
potential to detect adulteration with other contaminants, especially those that have high ratios of either
- or
-tocopherol,
since coffee has a lower ratio of both. Tocopherol fingerprinting
could be used by researchers to survey a large number of coffee
samples and should be investigated to detect adulteration of
coffee by other grains and cereals, that is, soybeans also
supposedly used for adulteration. One of the problems was the
low concentration of
-tocopherol in coffee and limited sensitivity of fluorescence detection. Other more sensitive methods, such
as chromatography coupled with mass spectrometry, should be
evaluated. In addition, other markers such as fatty acids, sterols,
triacylglycerols, organic acids, etc. should also be investigated.
Special thanks to Richard Adlof for valuable suggestions and proofreading of the manuscript. We acknowledge Linda Parrott for her technical assistance.
* To whom correspondence should be addressed. Tel: +1(309)681-6345. Fax: +1(309)681-6524. E mail: Gulab.Jham@ars.usda.gov. Permanent address: Universidade Federal de Viçosa, Departamento de Quimica, Viçosa, MG 36.570-000, Brazil.
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|
area %a |
|||||
|
sample |
coffee variety |
|
|
|
|
|
1 |
Catuaí |
29.8 ± 0.6 |
61.3 ± 0.5 |
3.0 ± 0.6 |
6.0 ± 0.6 |
|
2 |
Catucai |
27.9 ± 0.7 |
63.2 ± 0.5 |
3.9 ± 0.1 |
5.0 ± 0.2 |
|
3 |
Burbourn |
28.8 ± 0.4 |
61.3 ± 0.8 |
3.7 ± 0.3 |
6.3 ± 0.6 |
|
4 |
Mundo Novo |
27.6 ± 2.1 |
62.9 ± 3.2 |
4.3 ± 0.5 |
5.3 ± 1.6 |
|
5 |
Rubí |
29.2 ± 0.5 |
61.5 ± 0.2 |
3.7 ± 0.5 |
5.6 ± 0.2 |
|
6 |
Top |
29.3 ± 2.6 |
61.1 ± 1.6 |
2.4 ± 1.4 |
7.2 ± 0.4 |
|
|
average |
29.0 ± 1.5 |
61.7 ± 1.5 |
3.3 ± 1.1 |
6.0 ± 1.0 |
|
|
P valueb |
0.2448 |
0.6236 |
0.0152 |
0.2078 |
a Values are averages of three determinations.b P value for the F test determination of the significance of variety on tocopherol area %; p < 0.05 is significant.
|
area %a |
|||
|
sample |
|
|
|
|
7 |
4.7 ± 1.7 |
90.2 ± 0.8 |
5.1 ± 0.8 |
|
8 |
4.6 ± 1.3 |
90.2 ± 1.6 |
5.2 ± 0.5 |
|
9 |
3.3 ± 0.0 |
91.4 ± 0.3 |
5.3 ± 0.3 |
|
10 |
3.3 ± 0.2 |
91.5 ± 0.1 |
5.2 ± 0.1 |
|
11 |
3.0 ± 0.1 |
91.6 ± 0.9 |
5.5 ± 0.9 |
|
12 |
3.0 ± 0.2 |
92.5 ± 0.5 |
4.5 ± 0.4 |
|
average |
3.6 ± 0.9 |
91.3 ± 1.1 |
5.1 ± 0.5 |
|
P valueb |
0.0697 |
0.0655 |
0.4315 |
a Values are averages of three determinations.b P value for the F test determination of the significance of variety on tocopherol area % or content (mg/kg); p < 0.05 is significant.
|
composition (%, w/w) |
area %a |
|||||
|
sample |
coffee |
corn |
|
|
|
|
|
21 |
100 |
0 |
31.4 ± 0.2 |
63.3 ± 1.3 |
2.5 ± 1.6 |
2.8 ± 0.3 |
|
13 |
95 |
5 |
32.0 ± 0.6 |
59.6 ± 1.0 |
6.0 ± 0.1 |
2.4 ± 0.7 |
|
14 |
90 |
10 |
30.7 ± 0.2 |
60.1 ± 0.3 |
7.6 ± 0.2 |
1.6 ± 0.1 |
|
15 |
80 |
20 |
27.8 ± 1.3 |
57.6 ± 0.3 |
10.4 ± 0.9 |
4.2 ± 0.4 |
|
|
P valueb |
0.0004 |
0.0003 |
0.0001 |
0.0005 |
|
a Values are averages of three determinations.b P value for the F test determination of the significance of corn contamination on tocopherol area %; p < 0.05 is significant.
|
area %a |
||||
|
sample |
|
|
|
|
|
16 |
32.5 ± 1.3 B |
62.7 ± 1.1 |
2.2 ± 0.3 |
2.6 ± 0.2 |
|
17 |
34.1 ± 2.2 B |
62.1 ± 2.2 |
2.2 ± 0.4 |
1.6 ± 0.3 |
|
18 |
39.4 ± 1.4 A |
50.6 ± 2.7 |
6.7 ± 2.8 |
3.4 ± 0.8 |
|
19 |
33.0 ± 1.8 B |
61.3 ± 2.7 |
2.4 ± 1.8 |
3.3 ± 1.1 |
|
20 |
27.7 ± 1.9 C |
66.9 ± 1.9 |
3.1 ± 1.3 |
2.3 ± 0.6 |
|
21 |
31.4 ± 0.2 B |
63.3 ± 1.3 |
2.5 ± 1.6 |
2.8 ± 0.3 |
|
average |
33.0 ± 3.8 |
61.2 ± 5.5 |
3.2 ± 2.1 |
2.7 ± 0.8 |
|
P valueb |
<0.0001 |
<0.0001 |
0.0361 |
0.0463 |
a Values are averages of three determinations.b P value for the F test determination of the significance of sample on tocopherol area % or content (mg/kg); p < 0.05 is significant.