Accepted Manuscript
Title: Flow Injection Colorimetric Method Using Acidic Ceric
Nitrate as Reagent for Determination of Ethanol
Authors: Piyanut Pinyou, Napaporn Youngvises, Jaroon
Jakmunee
PII:
DOI:
Reference:
S0039-9140(11)00131-7
doi:10.1016/j.talanta.2011.01.078
TAL 11892
To appear in:
Talanta
Received date:
Revised date:
Accepted date:
8-11-2010
29-1-2011
31-1-2011
Please cite this article as: P. Pinyou, N. Youngvises, J. Jakmunee, Flow Injection
Colorimetric Method Using Acidic Ceric Nitrate as Reagent for Determination of
Ethanol, Talanta (2010), doi:10.1016/j.talanta.2011.01.078
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*Revised Manuscript
Flow Injection Colorimetric Method Using
Acidic Ceric Nitrate as Reagent for
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Determination of Ethanol
a
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Piyanut Pinyou a, Napaporn Youngvises b, Jaroon Jakmunee a,*
Department of Chemistry, and Center of Excellence for Innovation in Chemistry, Faculty of
Department of Chemistry, Faculty of Science and Technology, Thammasat University,
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Pathum Thani 12121, Thailand
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b
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Science, Chiang Mai University, Chiang Mai 50200, Thailand
*Corresponding author at: Department of Chemistry, and Center of Excellence for Innovation
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in Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand. Fax:
+66 53 941 910.
E-mail address: scijjkmn@chiangmai.ac.th (J. Jakmunee).
ABSTRACT
Ceric ammonium nitrate has been used for qualitative analysis of ethanol. It forms an
intensely colored unstable complex with alcohol. In this work, a simple flow injection (FI)
Page 1 of 30
colorimetric method was developed for the determination of ethanol, based on the reaction of
ethanol with ceric ion in acidic medium to produce a red colored product having maximum
absorption at 415 nm. Absorbance of this complex could be precisely measured in the FI
system. A standard or sample solution was injected into a deionized water donor stream and
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flowed to a gas diffusion unit, where the ethanol diffused through a gas permeable membrane
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made of plumbing PTFE tape into an acceptor stream to react with ceric ammonium nitrate in
nitric acid. Color intensity of the reddish product was monitored by a laboratory made LED
based colorimeter and the signal was recorded on a computer as a peak. Peak height obtained
was linearly proportional to the concentration of ethanol originally presented in the injected
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solution in the range of 0.1-10.0 % v/v (r2 = 0.9993), with detection limit of 0.03 %v/v. With
the use of gas diffusion membrane, most of the interferences could be eliminated. The
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proposed method was successfully applied for determination of ethanol in some alcoholic
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beverages, validating by gas chromatographic method.
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Keywords: Flow injection; Ethanol; Ceric ammonium nitrate; Gas diffusion; Beverages
1. Introduction
Ethyl alcohol or ethanol is the most publicly known alcohol since it is contained in many
products such as alcoholic beverages, antiseptic and fuel for vehicles. Determination of
ethanol content is important for quality control of the products. Various methods have been
used for quantification of ethanol such as densitometry, gas chromatography, high
performance liquid chromatography, infrared spectroscopy, spectrophotometry and
enzymatic biosensor. Although densitometry is recommended as a standard method for
Page 2 of 30
quality control of beverage products, it concerns the tedious and slow distillation procedure
[1]. Flow injection (FI) pervaporation system with in-line densiotometric detection was
developed to increase the degree of automation [2]. Gas chromatography is approved as a
standard method for ethanol determination in beverages and gasohol fuel [3].
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Chromatographic techniques lack portability and need long analysis time, although they
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provide simultaneous determination of several alcohols. Biosensor has advantages in terms of
selectivity and portability but life-time of the sensor is not long and fabrication of the sensor
is rather complicated and expensive [4]. Infrared spectroscopy is also limited in selectivity. FI
with Near IR detection is proposed in order to increase degrees of automation of the method
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[5].
Spectrophotometric measurement is usually performed after separation of ethanol from
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other matrices by distillation. Chemical oxidation of ethanol by dichromate followed by
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spectrophotometric detection of the produced Cr(III) or the remaining Cr(VI) is the
commonly used chemistry. This detection principle is also widely adapted to flow based
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techniques for determination of ethanol [6-11], which offer improved analytical performance
such as being less tedious, having faster analysis, and having more automatic than batch wise
method. However, dichromate is a carcinogenic substance, so it is of interest to reduce the
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amount needed, such as by using sequential injection (SI) [9], microfluidics [11] and
microplate reader [12]. Enzymatic methods for determination of ethanol and glycerol in
wines were introduced in FI [13] and SI[14] systems. These systems employed gas diffusion
separation to increase selectivity. Electrochemical oxidation of ethanol on copper electrode
under alkaline medium has been introduced in flow injection amperometric system [15].
However, this reaction is not very selective and the electrode is prone to fouling, which leads
to low reproducibility. Since the reactions used either in spectrophotometric or
electrochemical analysis are not selective, in-line separation of ethanol from sample matrices
Page 3 of 30
is needed, which could be done by gas diffusion [8,10,13,15] or pervaporation [6,7]
technique, with the use of gas permeable membrane or recently with membraneless gas
diffusion device[8,10].
In this work, we developed a simple FI colorimetric system based on the reaction of
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ethanol and acidic ceric nitrate to produce a red colored complex of Ce(IV)-ethanol. Ce(IV)
has been used as a colorimetric reagent for qualitative detection of alcohols for a long time
[16]. The formation of 1:1 complex of Ce(IV)-alcohol was found, of which the change of
color from yellow to red was observed [17]. Ce(IV) is present in the anionic form as a
hexanitrato ceric species or other complexes with combination of H2O, OH- and NO3- as
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ligands, with 12-fold coordination sphere of the Ce(IV). Alcohol replaces one of the Ce-O
bonds of bidentate nitrate (or other monodentate ligands) leading to a complex composed of
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five bidentate nitrate groups, one monodentate nitrate group and one alcohol molecule [18].
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This complex is not stable, and the alcohol will be oxidized to aldehyde and then to
carboxylic acid while Ce(IV) is reduced to a colorless Ce(III) [18]. Apart from alcohol,
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Ce(IV) can form complexes with α-hydroxy acids such as lactic, malic and tartaric acids [19].
Despite this, the reagent is also not specific to ethanol but it is more selective than a strongly
oxidizing agent, dichromate. Moreover, ceric ammonium nitrate is less hazardous than
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dichromate. In order to improve selectivity of the method, incorporation of a simple gas
diffusion unit employing a PTFE plumbing tape as a membrane, the FI system was
investigated for in-line separation of ethanol from the sample matrices. The proposed system
provided good analytical performance and was successfully demonstrated for determination
of ethanol in some alcoholic beverages.
2. Experimental
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2.1. Chemicals and reagents
All chemicals used were of analytical reagent grade and deionized water (obtained from
a system of Milli-Q, Millipore, Sweden) was used throughout. Reagent solution containing
0.04 M ceric ammonium nitrate and 0.3 M nitric acid was prepared by dissolving 2.20 g of
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ceric ammonium nitrate (BDH, England) in water and making up to a volume of 100 mL in a
volumetric flask. Working standard solution of ethanol (0.5-10.0 % v/v) was freshly prepared
by diluting the 99.5 % v/v ethanol (Merck, Germany) with water.
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2.2. FI colorimetric system
FI colorimetric system for determination of ethanol is shown in Fig.1. It consisted of a
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peristaltic pump (Lachat, USA), a six port injection valve (Upchurch, USA), a planar gas
diffusion unit [20], a lab-built colorimeter based on light emitting diode as a light source and
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light dependent resistor as a light sensor, equipped with a flow through cell of 10 mm path
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length (Hellma, Germany), a data acquisition unit [20] and a personal computer. Mixing coils
and tubing for assembling the system were a PTFE tube of 0.5 mm diameter, except pump
tubing for propelling the solution is a Tygon tube (Fisher Scientific, USA).
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A home-made planar gas diffusion unit [20] was made of two acrylic plates (15 cm long,
4.8 cm wide and 1.0 cm thick), engraved for donor and acceptor channels (each 300 mm
long, 1.5 mm wide, 0.75 mm deep). A PTFE membrane (teflon tape used for plumbing work)
was placed in between the two plates to form channels for liquid to flow on each side.
_____Fig.1______
Page 5 of 30
2.3.
Determination of ethanol by FI colorimetric method
Employing the FI set up as described above, a standard / sample solution (100 µL) was
injected into a water carrier stream and flowed through mixing coil C1 to a gas diffusion unit,
where the analyte diffused through a PTFE membrane into an acceptor stream of acidic ceric
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ammonium nitrate. Ethanol reacted with the reagent to produce a red Ce(IV)-ethanol complex
which could be monitored for a color change by using a colorimeter with a blue LED as light
source. A commercial spectrophotometer could be used by setting to measure absorbance at
415 nm. Output signal from the detector was recorded as FIA peak on a personal computer.
Peak height was directly proportional to concentration of ethanol in the injected solution. A
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was used for quantification of ethanol in sample.
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calibration graph was constructed by plotting peak height versus ethanol concentration and it
2.4. Determination of ethanol by gas chromatographic method
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Gas chromatograph (HP Aligent 6890 GC model, HEWLETT PACKARD company)
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The following GC condition was used: carrier gas was helium, flow rate was 1.2 mL min-1,
injection volume was 1.00 µL, type of separation column was capillary column (Aligent
19091 N-113 HP – INNOWAX Polyethylene glycol), and detector was flame ionization. The
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method of internal standard calibration was utilized by adding n-Propanol as an internal
standard to sample or standard solution of ethanol to obtain a concentration of 2 % v/v nPropanol. Ethanol standard solutions were prepared by dilution of the 99.5 % v/v ethanol to
obtain working standard solutions in the concentration range of 0.1-4.0% v/v. All samples
were diluted 20 times with DI water before analysis. Ethanol contents in samples were
calculated from a calibration graph constructed from area ratio of ethanol to n-propanol and
concentration of the ethanol.
Page 6 of 30
2.5. Sample preparation
Twenty three samples of commercially available alcoholic beverages were purchased
from local stores in Chiang Mai, Thailand. According to the label, ethanol contents in
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samples ranged from 5.0 - 40% v/v. Samples were properly diluted with DI water (10 folds
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for distillated liquor, 20 folds for beer and 40 folds for wine) prior to injection into the FI
system.
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3. Results and discussion
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3.1. Preliminary study of the reaction
Absorption spectra of 0.02 M ceric ammonium nitrate (CAN) and 0.02 M CAN with
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10% v/v (0.017 M) ethanol in 0.15 M nitric acid solutions recording versus water, and of the
CAN-ethanol complex versus CAN reagent blank were recorded in the range of 350-700 nm
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as depicted in Fig. 2. It was observed that the absorption of the complex occurred at a longer
wavelength than that of the reagent. The maximum absorption wavelength of the complex
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versus reagent blank was observed at 415 nm.
_____Fig.2______
The reaction is fast and is the first order reaction with respect to ceric and alcohol [21].
The rate equation is as follows: rate = k[Ce(IV)][alcohol], with k of about 0.75 L mol-1 for
ethanol. Although the complex had high intensity of color, the complex is not stable. Color of
the complex faded rapidly which could be observed with naked eyes. In contrast, the reagent
itself is stable. Stability of the complex was investigated by monitoring the absorbance of
Page 7 of 30
0.02 M CAN-1%v/v ethanol solution at 415 nm versus reagent blank after the solutions were
mixed together. It was found that the absorbance decreased dramatically and become zero
within about 10 min (Fig. 3). The unstability of this complex might limit the use of this
reagent for determination of ethanol in batch wise method but there was no problem in FIA
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because of a short and precisely controlled time interval between an injection of sample and
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the detection of the resulting product.
_____Fig.3______
3.2. Optimization of FI colorimetric method
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Employing the FI system as shown in Fig. 1, the optimum conditions for determination
of ethanol were investigated. The following preliminary conditions were used: concentration
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of ceric ammonium nitrate of 0.05 M, flow rates of carrier and reagent solution of 1.0 mL
min-1 each, sample volume of 100 µL, length of coils C1, C2, C3 and C4 of 50, 100, 50 and
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3.2.1 Effect of nitric acid
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50 cm , respectively and blue LED as a light source.
Effect of nitric acid concentration in range of 0.0-0.6 M was studied by injecting a series
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of standard ethanol (0.1 – 10.0 % w/v) into the system while other parameters were kept
constant as described above. Plotting peak height obtained versus concentration of ethanol
yielded linear calibration graphs with r2 higher than 0.999. It was found that sensitivity (slope
of the calibration graph) increased with the increase of nitric acid concentration and leveled
off at concentration higher than 0.2 M as shown in Fig. 4. The high cationic charge and
smaller ionic size of the ceric ion may make ceric salts much more hydrolyzed in aqueous
solution than other trivalent lanthanides, leading to the formation of hydroxide ceric complex
(Ce Lm (OH-)(n-1)+) and the releasing of hydrogen ion [22]. In highly acidic solution the
hydrolysis is suppressed and aquo complex (Ce Lm (H2O)n+) should be predominant. Ethanol
Page 8 of 30
should replace H2O ligand easier than the hydroxide ligand, hence the red colored Ce(IV)Ethanol complex was easily formed in acidic solution. Nitric acid concentration of 0.3 M was
selected for further studies.
_____Fig.4______
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3.2.2 Effect of ceric ammonium nitrate concentration
Effect of concentration of ceric ammonium nitrate on sensitivity was investigated as
similar to above. Calibration equations of y = 0.067 x +0.001, y= 0.072x + 0.008, y= 0.073x
+ 0.009 and y=0.071x + 0.022 were obtained for ceric nitrate concentration of 0.02, 0.03,
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0.04 and 0.05 M, respectively. In all case r2 of the calibration graphs were higher than 0.998.
As expected, too low of a concentration of ceric ammonium nitrate gave low sensitivity
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because of the slow reaction rate and the degradation of the complexed product. Ceric
ammonium nitrate of 0.04 M was chosen as it provided high sensitivity and low background
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signal.
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3.2.3 Effect of mixing coil length
Effect of length of mixing coil C1 was investigated over the range of 0-50 cm. It was
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found that sensitivity slightly decreased with the increase of mixing coil C1 length, due to the
increased dispersion of the injected solution. However, with mixing coil length of 50 cm , a
more reproducible peak profile was obtained than without mixing coil, so it was selected for
further studies.
Effect of the length of mixing coils C2 and C3 was studied in range of 0-100 cm. The
same length of coils C2 and C3 was considered in order to maintain the same pressure on
both sides of the gas diffusion membrane, thus preventing deformation or breakage of the
membrane. With increasing length of the coils, a slight increase in sensitivity was observed.
A length of 75 cm each was chosen for coils C2 and C3 since having longer coils may cause
Page 9 of 30
breakage of the membrane. Coil C4 was incorporated in the system in order to increase
pressure in the detection stream, preventing the evolution of bubbles in the line. According to
the results, the length of this coil did not have affect on the sensitivity of the method. Coil C4
of 50 cm length was selected as it could maintain pressure in the line and provide
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reproducible peak profiles.
3.2.4 Effect of sample volume
Effect of sample volume was investigated by injecting a series of ethanol standard solutions
in the concentration range of 0.0-10.0 %v/v, with different volumes of an injection loop.
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Sensitivity (slope of calibration graph) increased linearly with the injection volume and
leveled off at about 150 µL volume. However, at higher volume a narrow linear range of
3.2.5 Reagent stability
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up to 10 %v/v ethanol was chosen.
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calibration graphs were obtained. Thus sample volume of 100 µL, which gave a linear range
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Stability of the reagent was examined by using the same reagent solution for construction of
calibration graphs in the concentration range of 0.0-10.0 %v/v ethanol at different times.
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Slopes of the calibration graphs of 0.078, 0.077, 0.075, 0.075, 0.075, 0.076 and 0.076 V/%v/v
for the age of reagent of 0, 3, 6, 9, 12, 15 and 18 h, respectively were obtained, with r2 >
0.999 for all the calibration graphs. This indicated that the reagent was stable within at least
18 h. Although the reagent might be stable up to 5 days based on observation of its color, it
was daily prepared in all of our experiments.
3.3. Optimization of gas diffusion system
Five commercially available PTFE plumbing tapes with two different thicknesses, 0.75
(tape #1-#3) and 1.00 (tape #4-#5) mm, were tested to be employed as a gas diffusion
Page 10 of 30
membrane. Morphology of the membrane was examined by scanning electron microscope as
illustrated in the SEM images of the membranes in Fig. 5. The thicker membrane has smaller
pore size and the distribution of the pores on the membrane was more regular. Pore sizes of
the membrane were in the range of about 0.3x1 to 5x25 µm. The ratio of area of pore per total
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area of the membrane was observed as follows: #4 Oishi < #5 Joint < #1 At Indy < #2
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Protape < #3 Blue. As expected, PTFE tape of smaller thickness and larger pore size provided
higher diffusion efficiency of ethanol, hence resulting in higher sensitivity as shown in Fig. 6.
However, too thin and large pore membrane was easily broken, so the membrane #2 which
provided medium sensitivity was selected.
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_____Fig.5-6______
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Flow rates of donor and acceptor streams were identically maintained in order to avoid
the building up of pressure difference between two sides of the membrane that may cause
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membrane deformation or breakage. Effect of flow rate in the range of 0.5-2.0 mL min-1 on
sensitivity of the system with using various gas permeation membranes was investigated as
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shown in Fig. 6. As expected, an increase of flow rate resulted in a decrease in sensitivity
because of the reduction in gas diffusion efficiency at high flow rate. As could be seen by the
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trend from the graph, one could select suitable flow rate to obtain sensitivity and sample
throughput required for their application. Flow rate of 1.0 mL min-1 with membrane #2 was
selected as it provided high sensitivity and adequate sample throughput for our application.
Geometry of gas diffusion unit also plays a role on diffusion efficiency [23]. Long, wide
and shallow channel on the GDU provided high diffusion efficiency because it had high
diffusion area per volume. However, too long of a channel caused high dispersion of the
injected solution, thus reducing sensitivity and sample throughput. In this work, a gas
diffusion unit 30.0 cm long, 1.5 mm wide and 0.75 mm deep was utilized and concurrent
Page 11 of 30
flow of the donor and acceptor streams was employed. Under the above selected conditions,
the diffusion efficiency was found to be about 15%.
Temperature also affected the diffusion of ethanol through the membrane. According to
the previous studies, high sensitivity was achieved with the increase of temperature [8, 24-
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26]. However, using of relatively high temperature caused evolving of bubbles in the system
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and enough sensitivity was obtained with the operation at room temperature, so that the room
temperature was recommended in literature [8]. According to our observation, with the
experiment performed at room temperature of about 25 oC in an air conditioned room, the
variation of less than 1% in concentration found for 5%v/v ethanol was observed. Slopes of
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the calibration graphs obtained during 18 h operation of the system were not significantly
different as described in section 3.2.5. A thermostat control unit might be needed if the
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system was operated at a place with high variation of temperature.
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3.4. Analytical characteristics
Using the FI system as shown in Fig. 1 and a set of selected conditions: reagent solution
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consisting of 0.04 M ceric ammonium nitrate and 0.3 M nitric acid as an acceptor stream,
water carrier as a donor stream, flow rate of each stream of 1.0 mL min-1, sample volume of
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100 µL, the length of coils C1, C2, C3 and C4 of 50, 75, 75 and 50 cm, respectively, and blue
LED (max = 470 nm) as a light source, analytical characteristics of the system were
evaluated. A linear calibration graph (y =0.0873x-0.0093, r2= 0.9993) for the concentration
range of 0.1-10.0 % v/v % v/v ethanol was obtained as shown with the FIA peaks in Fig. 7.
Detection limit calculated from three times standard deviation of blank/slope of the
calibration graph [26] was 0.03 % v/v. Relative standard deviations for 11 replicate injections
of 1.0, 5.0 and 10.0 % v/v ethanol were 1.2, 0.5 and 0.3, respectively. Sample throughput of
20 h-1 was achieved and each injection consumed 3 mL each of reagent and carrier solutions.
Page 12 of 30
Sensitivity of the system using ceric ammonium nitrate as reagent was comparable to those
using dichromate as reagent as summarized in Table 1. In addition, ceric ammonium nitrate is
more environmentally friendly, since dichromate is a well known carcinogenic substance.
_____Fig.7______
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_____Table 1______
3.5. Interference study
It has been reported that the ceric ammonium nitrate reagent could react with other
alcohols and α-hydroxy acids. However, by incorporating a gas diffusion unit (with
an
hydrophobic membrane) to the FI system, the hydrophilic substances could be retained on the
donor side of the membrane so they did not react with the reagent. Some substances which
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can affect the diffusion of ethanol through the membrane were also potential interferences.
Interference was investigated by adding different concentrations of the potential interfering
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substances into 2% v/v ethanol standard solution. The solutions were injected into the FI
systems with and without a gas diffusion unit. Table 2 shows the tolerance limit (maximum
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concentration of each substance that did not interfere or did not cause a change in peak height
of 2% v/v ethanol more than 5%) of some substances. It was found that methanol and
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propanol seriously interfere at low concentration (0.1 %v/v), either without or with the use of
GDU. However, beverage samples contained very low concentration of these alcohols so they
should not significantly affect the ethanol detection. Other long chain alcohols are not easily
dissolved in water, so they should not interfere. Sugars showed negative interferences in both
systems, except sucrose in the case of FI system without GDU. The presence of sugar at high
concentration may lead to interference due to change of refractive index in the case of the
system without GDU or decreasing of diffusion efficiency in the FI system with GDU
because of the increase of boiling point of the solution (colligative property). It was clearly
Page 13 of 30
observed that the GDU helped reduce interferences from tartaric acid, glycerol and tannic
acid, which gave positive interference in the system without GDU at low concentration. The
membrane helped prevent diffusion of ionic species and large organic molecules to the
acceptor side. Some substances did not interfere even at the maximum concentrations tried,
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_____Table 2______
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which were the concentrations higher than those expected to be found in real samples.
However, on the application of the developed method to real samples of beer and wine,
it was found that there were some substances in sample which can adsorb on the membrane,
prevent the transfer of ethanol through the membrane and hence cause reduction in
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sensitivity. Fortunately, this problem could be solved by extensive dilution of the samples.
3.6. Application to real samples
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The proposed FI system was applied for determination of ethanol in some beverages
purchased from a local supermarket. The samples were prepared as described in section 2.5
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before injecting the solutions into the FI system. The same solutions were also analyzed by
gas chromatographic method [3] as described in section 2.4 for comparison. Contents of
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ethanol obtained from both of the methods were in good correlation (EtOHFIA= 1.029EtOHGC
– 0.509, r2= 0.9971) as summarized in Table 3. According to t-test at 95% confidence level
[23], both the results are not significantly different (tcalculated = 0.57, ttable= 2.07).
_____Table 3______
By spiking standard ethanol into the samples #1 to #10, percentage recoveries were
obtained in the range of 98.2-102.7%. It was found that the matrices of beer and wine
samples affect a lot on the transfer of ethanol through the membrane. Standard addition
method was firstly tried, by spiking ethanol standard solution into sample of different folds
Page 14 of 30
dilution (2, 5 and 10 folds), to obtain added concentration of ethanol of 0.5, 1.0 and 1.5% v/v.
However, this method cannot provide accurate and precise results. Moreover, sensitivity of
the method decreased dramatically after several samples were injected. Fortunately, this
problem could be solved by injecting the diluted samples (20 fold dilution for beer and 40
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fold dilution for wine) and employing a lower range calibration graph (0.1-0.5% v/v ethanol).
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The proposed method provided advantages such as low chemical consumption and fast
analysis time.
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4. Conclusions
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The FI method for determination of ethanol was developed based on the reaction
between ethanol and ceric ion to form a reddish colored product which has a maximum
ed
absorption at 415 nm. The detection by using blue LED as a light source was proposed. The
reagent had higher selectivity and negligible toxicity as compared to dichromate, which was
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commonly used as a reagent for determination of ethanol. By incorporating a gas diffusion
unit into the FI system, most of the interferences could be eliminated. This reaction also
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provides good sensitivity. Despite using a simple colorimeter as a detector, a linear
calibration graph in the range of 0.1-10.0% v/v ethanol, with detection limit of 0.03% v/v was
obtained. Sensitivity of the method could be increased by employing lower carrier flow rate,
which provided higher mass transfer efficiency. On the other hand, if high sensitivity is not a
priority, then high flow rate could be used to increase sample throughput of the method. The
proposed method was successfully applied for determination of ethanol in some alcoholic
beverages. Further development of the system to be used for the monitoring of ethanol in a
fermentation tank is being carried out in our laboratory.
Page 15 of 30
Acknowledgements
We thank the Center for Innovation in Chemistry: Postgraduate Education and Research
Program in Chemistry (PERCH-CIC), the Commission on Higher Education (CHE) and the
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Thailand Research Fund (TRF) for financial support. Science Achievement Scholarship of
Thailand (SAST) is gratefully acknowledged for providing scholarship to PP.
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[13] A.O.S.S. Rangel, I.V. Tóth, Anal. Chim. Acta 416 (2000) 205-210.
[14] M.A. Segundo, A.O.S.S. Rangel, Anal. Chim. Acta 458 (2002) 131-138.
ed
[15] T.R.L.C. Paixão, D. Corbo, M.Bertotti, Anal. Chim. Acta 472 (2002) 123-131.
ep
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[16] F.R. Duke, G.F. Smith, Ind. Eng. Chem. Anal. Ed. 12 (1940) 201-203.
[17] L.B. Young, W.S. Trahanovsky, J. Amer. Chem. Soc. 91 (1969) 5060-5068.
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[18] V. Briois, D. Lutzenkirchen-Hecht, F. Villain, E. Fonda, S. Belin, B. Griesebock, R.
Frahm, J. Phys. Chem. A 109 (2005) 320-329.
[19] N. Datt, R.R. Nagori, R.N. Mehrotra, Can. J. Chem. 64 (1986) 19-23.
[20] J. Junsomboon, J. Jakmunee, Anal. Chim. Acta 627 (2008) 232-238.
[21] M.P Doyle, J. Chem. Educ. 51 (1974) 131-132.
[22] Cerium: A guide to its role in chemical technology, Molycorp, Inc., CA, USA.
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[23] S.M. Oliveira, T.I.M.S. Lopes, I.V. Toth, A.O.S.S. Rangel, Anal. Chim. Acta 600
(2007) 29-34.
[24] I. L. Mattos, R. P. Sartini, E. A. G. Zagatto, B. F. Reis, M. F. Giné, Anal. Sci. 14
(1998) 1005-1008.
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[25] H. Ohura, T. Imato, Y. Asano, S. Yamasaki, N. Ishibashi, Anal. Sci. 6 (1990) 541545.
[26] S. Vicente, E. A. G. Zagatto, P. C. A. G. Pinto, M. L. M. E. S. Saraiva, J. L. F. C.
Lima , E. P. Borges, An. Acad. Bras. Ciênc. 78 (2006) 23-29.
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[27] G. D. Christian, Analytical Chemistry; 6th ed., Wiley: New York, USA, 2004.
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Captions for Figures
Fig. 1. FI manifold of flow injection system for determination of ethanol; P = peristaltic
pump, I = injection valve, S = standard/sample, GDU = gas diffusion unit, W = waste, C1-C4
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= mixing coils, D = colorimeter, ADC = analog to digital converter unit and PC = personal
computer.
Fig. 2. Absorption spectra of (a) acidic ceric reagent (0.02 M CAN in 0.15 M HNO3), (b)
Ce(IV)-ethanol complex (0.02 M CAN and 1%v/v (0.017 M) ethanol in 0.15 M HNO3) with
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respect to water, and (c) solution of (b) with respect to solution of (a).
Fig. 3. Absorbance-time profile of 0.02 M CAN-1.0 % v/v ethanol in 0.15 M HNO3 solution.
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Absorbance at 415 nm was measured versus reagent blank.
Fig. 4. Effect of nitric acid concentration on sensitivity of the method. (condition: 0.04 M
CAN, flow rate 1.0 mL min-1, sample volume 100 μL, length of coils, C1 50 cm, C2 100 cm,
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C3 50 cm, C4 50 cm).
Fig. 5. SEM images of various PTFE membranes (plumbing tapes); (a) #1 At Indy, (b) #2
Protape, (c) #3 Blue, (d) #4 Oishi and (e) #5 Joint; Images were recorded by using scanning
electron microscope (JSM-5910LV, JEOL, Japan), accelerating voltage: 15 kV,
magnification: 750x, signal: secondary electron images.
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Fig. 6. Effect of flow rate on sensitivity of the method, using different membranes as
described in Fig. 5. (condition: 0.04 M CAN, 0.3 M HNO3, sample volume 100 μL, length of
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Fig. 7. FIAgram of ethanol standard solutions and some samples.
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coils, C1 50 cm, C2 75 cm, C3 75 cm, C4 50 cm).
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Table 1
Table 1 Analytical characteristics of some spectrophotometric/colorimetric methods for the determination of ethanol
FI
Microfluidic
in-line
membraneless
gas diffusion
none
off-line solvent
extraction
FI
permeation
through
concentric
silicon tubular
membrane
in-line gas
diffusion
FI
FI
on-line gas
diffusion
membrane probe
FI
in-line gas
diffusion
Linear
range
(% v/v)
Detection
limit (%
v/v)
Precision
(%R.S.D.)
Sample
throughput
(h-1)
Ref.
600
Wines
1-20
0.5
3
6
[6]
600
Molasses
fermentation
Distilled
liquors
Gasohol
fuel
1-10
-
1.5
20
[7]
up to 6
0.09
<1
19
[9]
3-80
0.9
1-4.9
26
[10]
Distilled
spirits and
wines
up to 6
-
-
-
[11]
600
590
600
100 g/L K2Cr2O7 in 5M
H2SO4; detection
performed in 96 well
plate)
0.15M K2Cr2O7 in 6M
H2SO4
595
Yeast
culture
broth
up to 8
~0.1
-
192
[12]
600
Distilled
spirits and
wines
1-20
0.5
3.7
20
[24]
Reduction of excess
K2Cr2O7 (0.1 M) in 8M
H2SO4 with ferrous ion
and detection of ferric
ion formed by
potentiometry
0.3M K2Cr2O7 in 4M
H2SO4
-
Distilled
spirits, beers
and wines
5-40
-
0.8
25
[25]
600
Distilled
spirits and
red wines
up to 50
-
<2
30
[26]
blue LED
(~470 nm)
Distilled
spirits, beers
and wines
0.1-10
0.03
< 1.3
20
This
work
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Batch
microplate
reader
0.15M K2Cr2O7 in 6M
H2SO4; fiber optic
detection
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SI
16 g/L K2Cr2O7 in 8M
H2SO4
17 g/L K2Cr2O7 in 6M
H2SO4
0.2M K2Cr2O7 in 4M
H2SO4
0.2M K2Cr2O7 in 4M
H2SO4
Detection
wavelength
(nm)
M
FI
in-line
pervaporation
in-line
pervaporation
none
Reagent
d
FI
Separation
te
System
0.04M ceric
ammonium nitrate in
0.3M HNO3
Page 28 of 30
Table 2
Table 2 Tolerance limits of some substances
Substance
Unit of
concentration
Tolerance limit
FI with GDU
FI without GDU
%v/v
0.1, +
0.1, +
Propanol
%v/v
0.1, +
0.1, +
Glucose
mg L-1
1000, -
1000, -
Fructose
mg L-1
1000, -
100, -
Sucrose
mg L-1
1700, -
1700, +
Acetic acid
mg L-1
500*
500*
Citric acid
mg L-1
200, -
100, -
Tartaric acid
mg L-1
100, -
50, +
Tannic acid
mg L-1
1000*
50, +
Glycerol
mg L-1
Acetaldehyde
mg L-1
Ethyl acetate
mg L-1
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Methanol
5, +
400*
400*
1000*
1000*
M
4000, -
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+ positive interference, - negative interference, * maximum concentration tested
Page 29 of 30
Table 3
Table 3 Ethanol contents in some alcoholic beverages, determined by the proposed
FIA and gas chromatographic methods, and labeled values
t
0.0
-3.8
-0.6
3.4
1.7
1.3
1.8
4.4
4.5
1.9
0.0
-1.8
-4.1
-6.4
-13.4
-5.5
13.4
2.1
-2.2
-8.0
-7.0
-7.8
0.0
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1. Blended spirit 1
2. Blended spirit 2
3. Blended spirit 3
4. Scotch whisky 1
5. Scotch whisky 2
6. White spirit
7. Gin 1
8. Gin 2
9. Vodka
10. Rum
11. Red wine 1
12. Red wine 2
13. Red wine 3
14. White wine 1
15. White wine
16. White wine
17. Lynchee wine
18. Beer 1
19. Beer 2
20. Beer 3
21. Beer 4
22. Beer 5
23. Black beer
*
result from duplicate injections
**
result from triplicate injections
***
% different = 100*(FIA – GC)/GC
%different**
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Ethanol content (% v/v)
Label
GC*
FIA*
35
34.3+0.1
34.3+0.6
35
34.7+0.1
33.4+0.3
40
40.1+0.1
39.9+0.3
40
38.4+0.1
39.8+0.6
40
36.0+0.1
36.6+0.2
35
30.8+0.1
31.2+0.4
40
38.5+0.1
39.2+0.2
40
37.2+0.1
38.9+0.2
40
38.3+0.1
40.1+0.8
40
38.0+0.1
38.7+0.2
13.0
13.0+0.1
13.0+0.1
12.5
11.1+0.1
10.9+0.2
12.5
12.3+0.1
11.8+0.2
11.0
10.9+0.1
10.2+0.2
11.5
11.9+0.1
10.3+0.2
13.0
12.7+0.1
12.0+0.1
12.5
11.9+0.1
13.5+0.3
5.0
4.7+0.1
4.8+0.1
5.0
4.6+0.1
4.5+0.1
5.0
5.0+0.1
4.6+0.1
6.4
5.7+0.1
5.3+0.1
5.4
5.1+0.1
4.7+0.1
5.6
4.9+0.1
4.9+0.1
an
Sample
1
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