Accepted Manuscript Title: Quantitative analysis of clonidine and ephedrine by a microfluidic system: On-chip electromembrane extraction followed by high performance liquid chromatography Authors: Mahroo Baharfar, Yadollah Yamini, Shahram Seidi, Monireh Karami PII: DOI: Reference:
S1570-0232(17)31157-1 https://doi.org/10.1016/j.jchromb.2017.10.062 CHROMB 20892
To appear in:
Journal of Chromatography B
Received date: Revised date: Accepted date:
4-7-2017 20-10-2017 31-10-2017
Please cite this article as: Mahroo Baharfar, Yadollah Yamini, Shahram Seidi, Monireh Karami, Quantitative analysis of clonidine and ephedrine by a microfluidic system: Onchip electromembrane extraction followed by high performance liquid chromatography, Journal of Chromatography B https://doi.org/10.1016/j.jchromb.2017.10.062 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Quantitative analysis of clonidine and ephedrine by a microfluidic system:
1
On-chip electromembrane extraction followed by high performance liquid
2
chromatography
3 4
Mahroo Baharfara, Yadollah Yaminia,*, Shahram Seidib, Monireh Karamia
5
Department of Chemistry, Faculty of Sciences, Tarbiat Modares University, P.O. Box: 14115-175, Tehran,
6
Iran
7
Department of Analytical Chemistry, Faculty of Chemistry, K.N. Toosi University of Technology, Tehran, Iran
8
a
b
9 10 11
Highlights
A microfluidic device was developed for on-chip electromembrane extraction. It was applied for extraction ephedrine and clonidine from urine and plasma samples. The separation and determination of the analytes were performed by HPLC-UV. The limits of detection were less than 7.0 and 11 µg L-1 in urine and plasma samples. Smaller distance between electrodes makes it possible to apply low applied voltages.
12 13 14 15 16 17 18 19 20
Abbreviations:
21
CLO: clonidine; DEHP: di-(2-ethylhexyl) phosphate; EME: electromembrane extraction; EPH:
22
ephedrine; ER: extraction recovery; CCD: central composite design; HF-LPME: hollow fiber
23
liquid phase microextraction; HPLC: high performance liquid chromatography; LDR: linear
24
dynamic range; LLE: liquid-liquid extraction; LOD: limit of detection; NPOE: 2-nitrophenyl
25
octyl ether; PF: preconcentration factor; PPMA: polymethyl methacrylate; RR: relative
26
1
recovery; RSD: relative standard deviation; SLM: supported liquid membrane; TEHP: tris-(2-
27
ethylhexyl) phosphate.
28 29 30 31
Abstract In this work, a microfluidic device was developed for on-chip electromembrane extraction
32
of trace amounts of ephedrine (EPH) and clonidine (CLO) in human urine and plasma samples
33
followed by HPLC-UV analysis. Two polymethylmethacrylate (PMMA) plates were used as
34
substrates and a microchannel was carved in each plate. The microchannel channel on the
35
underneath plate provided the flow pass of the sample solution and the one on the upper plate
36
dedicated to a compartment for the stagnant acceptor phase. A piece of polypropylene sheet
37
was impregnated by an organic solvent and mounted between the two parts of the chip device.
38
An electrical field, across the porous sheet, was created by two embedded platinum electrodes
39
placed in the bottom of the channels which were connected to a power supply. The analytes
40
were converted to their ionized form, passed through the supported liquid membrane (SLM),
41
and then extracted into the acceptor phase by the applied voltage. All the effective parameters
42
including the type of the SLM, the SLM composition, pH of donor and acceptor phases, and
43
the quantity of the applied voltage were evaluated and optimized. Several organic solvents were
44
evaluated as the SLM to assess the effect of SLM composition. Other parameters were
45
optimized by a central composite design (CCD). Under the optimal conditions of voltage of 74
46
volts, flow rate of 28 μL min-1, 100 and 20 mM HCl as acceptor and donor phase composition,
47
respectively, the calibration curves were plotted for both analytes. The limits of detection
48
(LODs) were less than 7.0 and 11 µg L-1 in urine and plasma, respectively. The linear dynamic
49
ranges (LDR) were within the range of 10-450 and 25-500 µg L-1 (r2˃0.9969) for CLO, and
50
within the range of 20-450 and 30-500 µg L-1 (r2˃0.9907) for EPH in urine and plasma,
51
2
respectively. To examine the capability of the method, real biological samples were analyzed.
52
The results represented a high accuracy in the quantitative analysis of the analytes with relative
53
recoveries within the range of 94.6-105.2 % and acceptable repeatability with relative standard
54
deviations lower than 5.1%.
55
Keywords: Microfluidic device; On-chip electromembrane extraction; Ephedrine;
56 57
Clonidine; Biological samples.
3
58
1. Introduction Clonidine (CLO), chemically known as N-(2,6-Dichlorophenyl)-4,5-dihydro-1H-imidazol-
59
2-amine, is an imidazoline compound which has been prescribed as an antihypertensive
60
pharmaceutical for patients suffering from cardiovascular problems. This molecule exerts its
61
effect through binding to an α2-adrenergic receptor, a receptor which activates
62
neurotransmitters like norepinephrine to rise the blood pressure, with noticeable affinity to
63
control it. Moreover, this drug is usually used to treat attention-deficit and hyperactivity
64
disorders in children. The therapeutic dosage of this pharmaceutical is within the range of 75-
65
150 µg in urine and it would be valuable to determine its concentration in biological fluids of
66
patients being treated [1-5].
67
Ephedrine (EPH), 2-methylamino-1-phenylpropan-1-ol, is another medication extracted
68
from a plant called Ephedra sinica that acts as a sympathomimetic stimulant on central nervous
69
system to prevent low blood pressure in cardiovascular diseases and hypotension caused by
70
anesthesia [6]. This drug also affects adrenergic receptors so that it increases blood pressure
71
and heart rate. In addition, this stereoisomer is a natural alkaloid existing in green leaf tea and
72
some botanical supplements used along in combination with caffeine as an anti-obesity agent
73
by bodybuilders. However, adverse cardiovascular effects or death caused by misuse of this
74
drug have been reported [7]. Basically, the most amount of ephedrine remains unchanged in
75
biological samples such as urine, making it possible to determine this molecule in such fluids
76
[8].
77
Quantitative analysis of drugs in complicated matrices such as urine, saliva, plasma, and
78
blood samples is a formidable challenge. This fact is attributed to the presence of a vast variety
79
of contaminants in biological samples and low concentration of analytes of interest in these
80
samples, obscuring the analysis of target compounds. Therefore, selecting a suitable sample
81
preparation technique prior to the quantitative analysis of the target analytes is an essential step
82
4
in order to reduce the matrix effects, eliminate contaminants, preconcentrate the analytes, and
83
convert the sample into a compatible form with the analytical instrument [9,10].
84
Over the past years, various sample preparation techniques have been proposed and
85
developed to address the mentioned challenges. For example liquid-liquid extraction (LLE) is
86
one of the well-known conventional sample preparation methods which was widely utilized
87
prior to the quantitative analysis via analytical instruments [15,16]. Numerous innovative
88
techniques such as membrane-based liquid phase microextraction techniques, in which
89
analytes are extracted through a supported liquid membrane (SLM), have been derived from
90
this method [17]. In these techniques, a pH gradient termed hollow fiber liquid phase
91
microextraction (HF-LPME) [18] or an electrical filed called electromembrane extraction
92
(EME) [17] is applied as the driving force for the extraction of the target analytes.
93
Recently, the advent of microfluidic devices has made sample preparation techniques more
94
advantageous thanks to their remarkable features such as minimizing the cost, the amount of
95
required sample, and hazardous organic solvents. Besides, considering short diffusion
96
distances, microfluidic devices introduce rapid analysis and make the extraction process more
97
efficient on microfluidic platforms, which are attributed to the high surface-to-volume ratio
98
[11-13]. It is also noteworthy that automation, integration, and parallelization are more feasible
99
by these devices [14].
100
EME was introduced by Pedersen-Bjergaard et al. [19], comprising many advantages
101
compared with other similar techniques including rapid extractions, efficient sample cleanup,
102
and dispense with sample pretreatment [20]. Up to now, several developments have been
103
recommended to make EME more applicable [2-23]. Among them, performing EME on a chip-
104
based device is the most attractive one which goes back to 2010 [24]. Afterwards, numerous
105
interesting designs of this miniaturized method were published in the literature [25-27, 13].
106
5
In the present study, the advantages of electromembrane extraction and a microfluidic
107
device were combined and an on-chip EME was designated for the extraction and
108
preconcentration of ephedrine and clonidine from human urine and plasma samples. This
109
device, in which an electrical field is applied along the whole length of the dedicated extraction
110
channels, reduces power consumption, due to shorten the distances between the electrodes. It
111
also offers considerable extraction efficiency which can create a new way for designing
112
portable and analytically efficient microfluidic devices.
113
Also a central composite design was applied for the optimization of the effective parameters
114
on the extraction efficiency of the utilized on-chip EME procedure. Finally, applicability of the
115
method was successfully investigated in real urine and plasma samples.
116
2. Experimental
117
2.1. Chemical and reagents
118
Ephedrine (EPH) and clonidine (CLO) were kindly donated by Department of Pharmacy,
119
Tehran University (Tehran, Iran). The structure and corresponding physicochemical features
120
of the drugs can be seen in Table 1. HPLC grade methanol and acetonitrile were provided from
121
Daejung Chemicals and Metals (Siheung-city, South Korea). 2-Nitrophenyl octyl ether
122
(NPOE), tris-(2-ethylhexyl) phosphate (TEHP) and di-(2-ethylhexyl) phosphate (DEHP) were
123
obtained from Fluka (Buchs, Switzerland). 1-Octanol was purchased from Merck (Darmstadt,
124
Germany). All chemicals were of analytical reagent grade. The Accurel 2E HF (R/P)
125
polypropylene membrane sheet with a thickness of 150 mm, and a pore size of 0.2 mm was
126
purchased from Membrana (Wup- pertal, Germany). The water used in this work was purified
127
by a Younglin 370 series aqua MAX purification instrument (Kyounggi-do, Korea). Stock
128
solutions of EPH and CLO were prepared at the concentration of 1.0 mg mL-1 in ultra-pure
129
water. Standard solutions were prepared from the stock solutions by sufficient dilution. All of
130
the standard solutions were stored at 4 ºC and protected from light.
131
6
132
2.2. Real samples Plotting calibration curves and evaluating figures of merit were performed in plasma and
133
urine matrices. Urine and plasma samples were collected from volunteers. Sampling was
134
carried out based on the guidelines for research ethics and protocol was approved by an internal
135
review board. The urine samples were filtered by a 0.45 μm pore size cellulose acetate filter
136
provided from Milipore (Madrid, Spain). In order to prevent bacterial growth, the filtrate was
137
stored at 4 ºC in a clean glass vial. Two milliliter of each urine sample was spiked with a proper
138
amount of the mixed standard solution to obtain the desirable concentration and the pH of the
139
samples was adjusted. Plasma samples were obtained from Iranian Blood Transfusion
140
Organization (Tehran, Iran). The samples were stored in sterilized bottles at -4 ºC, thawed,
141
shaken, diluted 1:5, and their pH adjusted prior to use.
142
2.3. Chromatographic apparatus
143
The separation and detection of the two analytes were carried out using an Agilent 1260
144
HPLC system equipped with a quaternary pump, degasser, a 20 μL sample loop and UV-Vis
145
detector (Waldbornn, Germany). Results were recorded and analyzed by ChemStation for LC
146
system software (version B.04.03). The separations were accomplished on an ODS-3 column
147
(25 mm × 4.6 mm, with 5 μm particle size) provided from MZ-Analysenteknik (Maniz,
148
Germany). The separation of EPH and CLO was performed by an isocratic elution at the flow
149
rate of 1.0 mL min-1. The mobile phase constituents were acetonitrile and a 10 mmol L-1
150
phosphate buffer with a pH of 4.5 (80:20, v/v). The detection and quantification of both
151
analytes were carried out at the wavelength of 210 nm.
152
2.4. Preparation of chip for electromembrane extraction
153
Two polymethylmethacrylate plates (PMMA) were used as the substrates since its low price
154
and ease of fabrication by milling methods makes it the best choice. A long channel was carved
155
on each plate to provide the location of the donor and acceptor phases. The channels were 30
156
7
mm long, 500 μm deep and 1.0 mm wide. The structure of the chip is shown in Fig. 1. The
157
upper channel was dedicated for the stagnant acceptor phase and the lower channel was
158
exploited for the donor phase flow pass. Three holes were drilled for providing inlet and outlet
159
tubes and entering the electrodes. As is shown in the figure, holes a and b were connected to
160
the inlet and outlet tubes and hole c was used to mount the platinum electrodes (all holes had
161
I.D. of 0.5 mm). The platinum electrodes (provided from Pars Platin, Tehran, Iran), with a
162
diameter of 0.2 mm, were bent and located through the whole length of channels. All channels
163
and wholes were milled by the aid of a SMG-302 CNC micromilling machine from Sadrafan
164
Gostar Industries (Tehran, Iran).
165
A small piece of porous propylene sheet, impregnated by a proper organic solvent, was
166
located between the two parts of the chip to separate the donor and acceptor channels and the
167
whole device was fixed by bolts and nuts. The membrane sheet was replaced with a new one
168
for each extraction. Additionally, an external syringe pump from Fanavaran Nano-Meghyas
169
(Tehran, Iran) was exploited to flow the donor phase during the extraction procedure. The
170
acceptor phase, with a microliter volume, was introduced and withdrawn by a microsyringe in
171
each extraction.
172
2.5.On chip electromembrane extraction procedure
173
A piece of propylene sheet, with the dimension of 3 mm × 4 cm, was cut and dipped in
174
NPOE containing 10% (v/v) DEHP to impregnate the organic solvent into the pores of the
175
sheet. The excess amount of the organic solvent was wiped out by a piece of Kleenex. The
176
membrane sheet was mounted between the two parts of the chip device. Two milliliters of the
177
donor phase containing the target analytes was withdrawn into a syringe located on the syringe
178
pump and pumped through the related channel. Thirty five microliters of 100 mM HCl as the
179
acceptor phase were introduced into the upper channel of the chip device by a microsyringe.
180
After fulfillment of the extraction, the acceptor phase was collected by a microsyringe and
181
8
analyzed by HPLC-UV. After each extraction, the channels of the device were carefully
182
washed by ultrapure water and methanol.
183
2.6. Calculation of preconcentration factor, extraction recovery, and relative recovery
184
The preconcentration factor (PF) was defined as the ratio of the final analyte concentration
185
in the acceptor phase (Cf,a) to the initial concentration of analytes in the sample solution (Ci,s):
186
PF
C f ,a
(1)
187
where Cf,a was determined according to a calibration graph obtained from the direct injection
188
of EPH and CLO standard solutions. The extraction recovery (ER%) was defined as the
189
percentage of the mole numbers of analyte extracted into the acceptor phase (nf,a) to that
190
originally present in the sample solution (ni,s).
191
Ci , s
ER %
n f ,a
100
C f ,a V f , a
100
(2)
192
where Vf,a and Vi,s indicate the volume of the acceptor phase and sample solution, respectively.
193
Relative recovery (RR) was calculated from the following equation:
194
RR%
ni , s
C found Creal
Ci , s Vi , s
100
(3)
195
where Cfound, Creal and Cadded represent the concentration of the analyte after adding a known
196
amount of the standard into the real sample, the concentration of analyte in the real sample,
197
and the concentration of a known amount of the standard spiked into the real sample,
198
respectively.
199
2.7. Data analysis and statistical methods
200
Cadded
In order to ascertain the optimal conditions for on-chip EME of EPH and CLO, central
201
composite design (CCD) was used. For this goal, Design-Expert software trial version 10.0
202
9
(Stat-Ease Inc., MN, USA) was utilized to generate an experimental matrix and evaluate the
203
results.
204
3. Results and discussion
205
3.1. Type of supported liquid membrane
206
The chemical nature and composition of the supported liquid membrane is a highly
207
influential factor affecting EME. There are several criteria which make an organic solvent a
208
suitable SLM for the EME procedure; these include certain electrical conductivity to provide a
209
low level of current, high permeability to make electrokinetic migration of the analytes feasible,
210
immiscibility in water, compatibility with propylene membrane sheet and less toxicity. 1-
211
Octanol and NPOE are the organic solvents which provide the mentioned requirements and are
212
frequently used in the EME. Moreover, it has been reported that the addition of ion-pairing
213
reagents to the SLM may present a beneficial effect on the EME performance [28]. To evaluate
214
this effect, 1-octanol, NPOE, NPOE containing 5, 10 and 15% (v/v) DEHP or TEHP and also
215
a mixture of NPOE with both DEHP and TEHP at various ratios were investigated. The results
216
are shown in Fig. 2A. As can be seen, 10% (v/v) DEHP in NPOE provided the highest
217
extraction efficiencies and then it was selected as the optimum SLM for further studies.
218
3.2. Results from central composite design (CCD)
219
In order to achieve optimal conditions to perform extractions, central composite design
220
(CCD) was utilized. Central composite design (CCD) covers factorial points, center points and
221
axial (star) points. The design included 20 experiments with four central points in random
222
order.
223
There are several factors affecting the on-chip EME efficiency that are as follows: the SLM
224
composition, flow rate, the applied voltage, and pH of the donor and acceptor phases. By a
225
given separate assessment, the best SLM composition was selected and the rest of the effective
226
10
parameters were optimized by taking advantage of experimental methods and reducing the
227
number of runs.
228
In the EME procedure, the applied electrical field is the driving force for migration of the
229
ionized form of the analytes. The extraction efficiencies increase by increasing the applied
230
voltage, but at high values of the applied voltage several problems which deteriorate system
231
efficiency are occurred. A few such problems include electrolysis and bubble formation, Joule
232
heating and also SLM punctuation [21]. These interfering processes are highly dependent on
233
the sample solution matrix.
234
For this reason, initial studies were carried out and the stability of the system was
235
investigated with several extraction voltages in urine and plasma matrices. The upper limit of
236
the voltage was determined before generating the experimental matrix and 90 V was chosen as
237
the highest voltage limit at which the system showed better stability. Notwithstanding, at higher
238
voltages, bubble formation and instability of the extraction system were apparent for the
239
biological matrices.
240
For further reduction in the number of runs, HCl concentration in the donor and the acceptor
241
phases were merged as a single parameter of ion balance (χ), which was defined as the total
242
ionic concentration in sample solution to that in the acceptor solution. For this purpose, in all
243
experiments, the concentration of HCl in the acceptor phase was maintained constant at 100
244
mM HCl and the corresponding concentration in the donor phase was varied between 0 to 100
245
mM HCl. The acceptor phase composition was selected based on initial experiments, in which,
246
as is shown in Fig. 3B, 100 mM HCl showed highest extraction efficiency as the acceptor phase
247
solution. Increasing the HCl concentration in the acceptor phase leads to enhancement of the
248
extractability due to facilitating the release of the analytes at the interface between the SLM
249
and the acceptor phase. On the other hand, more increasing of HCl concentration has a negative
250
effect on the recovery since it raises the electrolysis product, bubble formation and decreasing
251
11
the repeatability [17]. Therefore, a concentration of 100 mM HCl was a suitable choice as the
252
acceptor phase. Consequently, the ion balance parameter was kept in the range of 0-1.
253
Design matrix variable is presented in Table 2. An experimental response in each run
254
corresponds to the sum of peak areas. The acquired data were analyzed using analysis of
255
variance (ANOVA). A p-value less than 0.05 indicates the statistical significance of an effect
256
at 95% confidence level. The equation defining the final response for the effect of different
257
parameters on the extraction efficiencies is:
258
Sum of peak area = +361.45 + 17.71×A – 62.50×B – 23.46×C - 36.60×A×C + 66.80×B×C +
259
62.86×B2
260
(4)
Table 3 shows the ANOVA table in which the flow rate or the extraction time (B) is the most
261
influential factor in the on-chip EME extraction efficiency. According to Table 3, the model is
262
significant and there was not a significant lack of fit at the 95% confidence level.
263
Response surface methodologies (RSMs) have been widely used to assess the effect of
264
independent variables on the system performance. Graphical relationships between the
265
effective factors can be obtained via RSMs and it is a way to reach the exact optimum values.
266
Also, two-dimensional contour plots based on the model equations can be shown for each
267
response surface. These contour plots express the interactions between independent variables.
268
In Table 4, the coefficients of the studied model are displayed and, according to the given table,
269
the coefficient of determination of the model is 0.8320 indicating a good correlation between
270
the response and the model.
271
Total response surfaces are shown in Fig. 3. As a total result, the extraction efficiency of the
272
target analytes increased by increasing the experimental factors to the certain values and it then
273
gradually decreased. This observation can be interpreted by the fact that mass transfer and,
274
consequently, extraction efficiency increase by increasing the applied voltage and time in
275
EME. However, reduction in the response by further increases in the applied voltage and
276
12
extraction time can be ascribed to the instability problems and the non-exhaustive nature of
277
EME. In addition, formation of the mass transfer barriers, built-up boundary layers at both
278
sides of SLM which are mainly generated by hydrochloric acid ions, back extraction process
279
due to an increase in the pH of the acceptor phase by electrolysis reactions, and saturation of
280
the acceptor phase with the target analytes may also be responsible for the observed decline in
281
the extraction efficiency.
282
In EME, the analytes should exist as their ionized form to migrate under the electrical filed.
283
For basic analytes, an acidic medium improves the conversion of analytes into their ionized
284
form and thus increases the extraction efficiency. On the other hand, by increasing the acid
285
concentration in the donor phase, proton ions can compete with the analytes for migration into
286
the acceptor phase, which can cause a decrease in the extraction efficiency. Also, the
287
probability of Joule heating and electrolysis reactions in both the donor and the acceptor phases
288
increase. Considering the whole results, the optimized values were: a voltage of 74 V and a
289
flow rate of 28 µL min-1 and 20 mM HCl as the donor phase.
290
3.3. Method validation
291
To evaluate the applicability of the proposed method for the extraction of the target drugs
292
from real samples, drug-free human urine and plasma samples were spiked and analyzed under
293
the optimal conditions. Linear dynamic range (LDR), limit of detection (LOD), limit of
294
quantification (LOQ), preconcentration factor (PF) and extraction recoveries (ER%) were
295
calculated. Moreover, intra- and inter-assay RSDs% were calculated based on six replicate
296
measurements at the concentration level of 150 μg L-1 to evaluate the method precision. The
297
results are summarized in Table 5.
298
PF values were higher than 18 and 12 in urine and plasma samples, respectively. The method
299
showed good linearity with determination coefficient (R2) values higher than 0.9907 within the
300
concentration range of 25-500 μg L-1 and 30-500 μg L-1 for CLO and EPH in plasma samples,
301
13
respectively. The calibration curves in urine samples were linear with the R2 values higher than
302
0.9960 over the range of 10-450 μg L-1 and 20-450 μg L-1 for CLO and EPH, respectively.
303
LODs less than 11 μg L-1 and 7.0 μg L-1 were achieved in plasma and urine samples for both
304
analytes, respectively. The intra- and inter-day RSDs% were less than 6.1% and 8.2% for the
305
analytes in both matrices and indicated the acceptable precision of the method for the analysis
306
of CLO and EPH in plasma and urine samples which is owing to the fixed position of electrodes
307
and providing a homogeneous electrical field whole along the channel length of the device. In
308
addition, the application of the electrical field along the extraction channels caused acceptable
309
extraction efficiency and sensitivity, regarding the low volume of biological sample.
310
Table 7 provides a comparison between the proposed method and other works reported in
311
the literature for the quantitative analysis of EPH and CLO. As can be seen, the obtained results
312
by the chip device are completely comparable with conventional techniques. In comparison of
313
extraction efficiency of the proposed method with the conventional EME, the extraction
314
efficiency has been increased in plasma samples and it is somewhat the same in urine samples.
315
This issue shows that this method, from this standpoint, is more advantageous. In addition,
316
sample preparation methods are not the same. In the reported data for conventional
317
electromembrane extraction of EPH, protein precipitation and dilution were accomplished
318
before extraction, and urine samples were diluted 1:6. In the present study, however, the plasma
319
samples were just diluted 1:5 and their pH was adjusted. In addition, the urine samples were
320
used just by pH adjustment. Considering the low required volumes of sample for the proposed
321
microfluidic procedure, it is perfectly advantageous in comparison with conventional methods.
322
This efficient chip-based device can be introduced as a simple, portable, and useful method for
323
the analysis of biological samples even in a few microliter volumes. This technique can be a
324
prominent substitute for conventional sample preparation methods.
325 326
14
327
3.4. Analysis of real samples In order to assess the capability of the method for quantitative analysis of the target analytes
328
in real samples, the procedure was applied for the extraction and determination of CLO and
329
EPH in urine and plasma samples. The corresponding results are illustrated in Table 4. Fig. 4
330
shows typical chromatograms of an analyte-free plasma sample before and after spiking at the
331
concentration levels of 50 μg L-1 and 250 μg L-1. Corresponding relative recoveries in plasma
332
samples were within the range of 96.6% - 105.2%, indicating the applicability of the method
333
as an efficient sample clean-up technique for the determination of the drugs in plasma samples.
334
Fig. 5 shows the obtained chromatogram of a human urine sample taken from a patient
335
treated by CLO after 9 hours. The urine samples were spiked at the concentration levels of 50
336
and 150 µg L-1 of CLO and 200 and 240 µg L-1 of EPH. The values of errors% for the urinary
337
sample ranged between -5.4 to 2.7 which show the favorable accuracy of the proposed method.
338
Also, the low amounts of RSD% values for plasma and urine samples indicate the high
339
precision of the method in quantitative analysis of biological samples.
340
4. Conclusion
341
In this work, a chip-based electromembrane extraction was developed for the analysis of
342
trace amounts of EPH and CLO in biological fluids. The effective parameters of the extraction
343
procedure were optimized using CCD. Low required sample volume, good sample clean-up,
344
acceptable sensitivity, and low LODs are the advantages of the method. The results showed
345
that EME on a chip-based device is more suited than conventional EME methods for the
346
analysis of drugs in complicated biological matrices. On the basis of the obtained results, the
347
observed enhancement in the extraction efficiency can be ascribed to the increase of the surface
348
to volume ratio and exploitation of a homogeneous electrical field along the whole channel
349
length. More importantly, the smaller distance between the electrodes makes it possible to
350
provide larger electrical fields by applying low applied voltages [26]. This feature as well as
351
15
low required sample volume for on-chip EME makes the design of portable devices for analysis
352
feasible.
353
Acknowledgements
354
The authors gratefully acknowledge financial support from Tarbiat Modares University.
355
References
356
[1] K. Hall, J. Kossowsky, T. Oberlander, T. Kaptchuk, J. Saul, V. Wyller, E. Fagermoen, D.
357
Sulheim, J. Gjerstad, A. Winger, Genetic variation in catechol-O-methyltransferase
358
modifies effects of clonidine treatment in chronic fatigue syndrome, Pharmacogenomics
359
J. 16 (2016) 454–460.
360
[2] L. Hein, J.D. Altman, B.K. Kobilka, Two functionally distinct α2-adrenergic receptors
361 362
regulate sympathetic neurotransmission, Nature 402(6758) (1999) 181-184. [3] J.E. Piletz, G.A. Ordway, H. Zhu, B.J. Duncan, A. Halaris, Autoradiographic comparison
363
of [3H]-clonidine binding to non-adrenergic sites and α2-adrenergic receptors in human
364
brain, Neuropsychopharmacology 23 (2000) 697-708.
365
[4] K. Gamache, R.K. Pitman, K. Nader, Preclinical evaluation of reconsolidation blockade by clonidine as a potential
novel treatment
for
posttraumatic stress disorder,
366 367 368
Neuropsychopharmacology 37 (2012) 2789-2796. [5] D. Atlas, Y. Burstein, Isolation and partial purification of a clonidine‐displacing
369 370
endogenous brain substance, FEBS J. 144 (1984) 287-293. [6] Y. Zheng, Y. Yang, Y. Li, L. Xu, Y. Wang, Z. Guo, H. Song, M. Yang, B. Luo, A. Zheng,
371
Ephedrine hydrochloride inhibits PGN-induced inflammatory responses by promoting IL-
372
10
373
production
and
decreasing
proinflammatory
cytokine
secretion
via
the
PI3K/Akt/GSK3β pathway, Cell. Mol. Immunol. 10 (2013) 330-337.
374
[7] R.A. Niemann, M.L. Gay, Determination of ephedrine alkaloids and synephrine in dietary supplements
by
column-switching
cation 16
exchange
high-performance
liquid
375 376
chromatography with scanning-wavelength ultraviolet and fluorescence detection, J.
377
Agric. Food Chem. 51 (2003) 5630-5638.
378
[8] G. Aymard, B. Labarthe, D. Warot, I. Berlin, B. Diquet, Sensitive determination of
379
ephedrine and norephedrine in human plasma samples using derivatization with 9-
380
fluorenylmethyl chloroformate and liquid chromatography, J. Chromatogr. B 744 (2000)
381
25-31.
382
[9] K.D. Clark, C. Zhang, J.L. Anderson, Sample Preparation for Bioanalytical and Pharmaceutical Analysis, ACS Publications, 2016.
383 384
[10] S. Seidi, Y. Yamini, M. Rezazadeh, A. Esrafili, Low-voltage electrically-enhanced
385
microextraction as a novel technique for simultaneous extraction of acidic and basic drugs
386
from biological fluids, J. Chromatogr. A 1243 (2012) 6-13.
387
[11] X. Bian, Y. Lan, B. Wang, Y.S. Zhang, B. Liu, P. Yang, W. Zhang, L. Qiao, Microfluidic
388
Air Sampler for Highly Efficient Bacterial Aerosol Collection and Identification, Anal.
389
Chem. 88 (2016) 11504-11512.
390
[12] E.K. Sackmann, A.L. Fulton, D.J. Beebe, The present and future role of microfluidics in biomedical research, Nature 507 (7491) (2014) 181-189.
391 392
[13] S. Seidi, M. Rezazadeh, Y. Yamini, N. Zamani, S. Esmaili, Low voltage electrically
393
stimulated lab-on-a-chip device followed by red-green-blue analysis: a simple and
394
efficient design for complicated matrices, Analyst 139 (2014) 5531-5537.
395
[14] S. Haeberle, R. Zengerle, Microfluidic platforms for lab-on-a-chip applications, Lab Chip
396 397
7 (2007) 1094-1110. [15] C. Grosse, I. Davis, R. Arrendale, J. Jersey, J. Amin, Determination of remifentanil in
398
human blood by liquid-liquid extraction and capillary GC-HRMS-SIM using a deuterated
399
internal standard, J. Pharm. Biomed. Anal. 12 (1994) 195-203.
400
17
[16] L. Tavakoli, Y. Yamini, H. Ebrahimzadeh, S. Shariati, Homogeneous liquid–liquid
401
extraction for preconcentration of polycyclic aromatic hydrocarbons using a
402
water/methanol/chloroform ternary component system, J. Chromatogr. A 1196 (2008)
403
133-138.
404
[17] Y. Yamini, S. Seidi, M. Rezazadeh, Electrical field-induced extraction and separation
405
techniques: promising trends in analytical chemistry–a review, Anal. Chim. Acta 814
406
(2014) 1-22.
407
[18] J. Lee, H.K. Lee, K.E. Rasmussen, S. Pedersen-Bjergaard, Environmental and
408
bioanalytical applications of hollow fiber membrane liquid-phase microextraction: a
409
review, Anal. Chim. Acta 624 (2008) 253-268.
410
[19] S. Pedersen-Bjergaard, K.E. Rasmussen, Electrokinetic migration across artificial liquid
411
membranes: new concept for rapid sample preparation of biological fluids, J. Chromatogr.
412
A 1109 (2006) 183-190.
413
[20] A. Gjelstad, S. Pedersen-Bjergaard, Electromembrane extraction: a new technique for accelerating bioanalytical sample preparation, Bioanalysis 3 (2011) 787-797.
414 415
[21] M. Rezazadeh, Y. Yamini, S. Seidi, A. Esrafili, Pulsed electromembrane extraction: a new
416
concept of electrically enhanced extraction, J. Chromatogr. A 1262 (2012) 214-218.
417
[22] M. Rezazadeh, Y. Yamini, S. Seidi, B. Ebrahimpour, Electromembrane surrounded solid
418
phase microextraction: a novel approach for efficient extraction from complicated
419
matrices, J. Chromatogr. A 1280 (2013) 16-22.
420
[23] N.J. Petersen, S.T. Foss, H. Jensen, S.H. Hansen, C. Skonberg, D. Snakenborg, J.r.P.
421
Kutter, S. Pedersen-Bjergaard, On-chip electro membrane extraction with online
422
ultraviolet and mass spectrometric detection, Anal. Chem. 83 (2010) 44-51.
423
[24] N.J. Petersen, H. Jensen, S.H. Hansen, S.T. Foss, D. Snakenborg, S. Pedersen-Bjergaard, On-chip electro membrane extraction, Microfluid. Nanofluidics 9 (2010) 881-888.
18
424 425
[25] N.J. Petersen, J.S. Pedersen, N.N. Poulsen, H. Jensen, C. Skonberg, S.H. Hansen, S.
426
Pedersen-Bjergaard, On-chip electromembrane extraction for monitoring drug metabolism
427
in real time by electrospray ionization mass spectrometry, Analyst 137 (2012) 3321-3327.
428
[26] Y.A. Asl, Y. Yamini, S. Seidi, B. Ebrahimpour, A new effective on chip electromembrane
429
extraction coupled with high performance liquid chromatography for enhancement of
430
extraction efficiency, Anal. Chim. Acta 898 (2015) 42-49.
431
[27] Y.A. Asl, Y. Yamini, S. Seidi, M. Rezazadeh, Simultaneous extraction of acidic and basic
432
drugs via on-chip electromembrane extraction, Anal. Chim. Acta 937 (2016) 61-68.
433
[28] S. Seidi, Y. Yamini, M. Rezazadeh, Combination of electromembrane extraction with
434
dispersive liquid–liquid microextraction followed by gas chromatographic analysis as a
435
fast and sensitive technique for determination of tricyclic antidepressants, J. Chromatogr.
436
B 913 (2013) 138-146.
437
[29] Z. Zhang, C. Zhang, X. Su, M. Ma, B. Chen, S. Yao, Carrier-mediated liquid phase
438
microextraction coupled with high performance liquid chromatography for determination
439
of illicit drugs in human urine, Anal. Chim. Acta 621 (2008) 185-192.
440
[30] L. Fotouhi, Y. Yamini, S. Molaei, S. Seidi, Comparison of conventional hollow fiber based
441
liquid phase microextraction and electromembrane extraction efficiencies for the
442
extraction of ephedrine from biological fluids, J. Chromatogr. A 1218 (2011) 8581-8586.
443
[31] J. Zhou, Z. Zeng, Novel fiber coated with β-cyclodextrin derivatives used for headspace
444
solid-phase microextraction of ephedrine and methamphetamine in human urine, Anal.
445
Chim. Acta 556 (2006) 400-406.
446
[32] Q. Wang, C.r. Yin, L. Xu, Optimization of hydrophilic interaction LC by univariate and
447
multivariate methods and its combination with salting‐out liquid–liquid extraction for the
448
determination of antihypertensive drugs in the environmental waters, J. Sep. Sci. 36 (2013)
449
1007-1014.
450
19
[33] C. Ghosh, R.P. Singh, S. Inamdar, M. Mote, B.S. Chakraborty, Sensitive, selective, precise
451
and accurate LC–MS method for determination of clonidine in human plasma,
452
Chromatographia. 69 (2009) 1227-1232.
453 454
[34] https://chemicalize.com
455 456 457 458 459 460 461 462 463 464 465 466 467 468
Figure captions
469
Fig. 1. A schematic of chip structure.
470
Fig. 2. Effect of A) SLM composition B) composition of the acceptor phase on the extraction
471
efficiencies. Analytes were extracted across SLM from 0 mM HCl sample solution by applied
472
voltage of 60 V and flow rate of 40 μL min-1.
473
Fig. 3. Response surfaces and corresponding contour plots of sum of peak area against different
474
influential variables.
475 20
Fig. 4. Chromatograms of non-spiked (a), 50 μg L-1 (b), and 250 μg L-1 (c) spiked plasma
476
sample.
477
Fig. 5. Chromatograms resulted from extraction of CLO from non-spiked urine sample of a
478
patient treated by CLO after 9 h (a), 50 μg L-1 of CLO and 200 μg L-1 of EPH (b), 150 μg L-1
479
of CLO and 240 μg L-1 of EPH (c) spiked urine sample.
480 481
21
Table 1 Chemical structure and corresponding pKa and Log KO/W values of the analytes [35] Name Chemical structure pKa Log KO/W
Ephedrine
9.52
1.32
Clonidine
8.16
2.49
482 483
484 485
22
Table 2 Design matrix of desired factors and related response (sum of peak areas) Run A: Voltage B: Flow rate C: Ion balance (χ) Sum of peak area 1 26 28 0.8 424.1 2 74 82 0.2 287.0 3 26 82 0.8 329.4 4 74 28 0.2 593.1 5 26 82 0.2 235.6 6 74 82 0.8 397.9 7 50 55 0.5 281.3 8 50 55 0.5 312.6 9 50 55 0.5 295.4 10 74 28 0.8 273.2 11 50 55 0.5 316.5 12 26 28 0.2 433.9 13 50 100 0.5 477.9 14 10 55 0.5 356.7 15 50 55 0.5 394.8 16 50 10 0.5 703.4 17 90 55 0.5 424.3 18 50 55 0.5 450.1 19 50 55 0 497.8 20 50 55 1 381.6
23
486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511
Table 3 512 Analysis of variance (ANOVA) of quadratic model to predict the increase in extraction 513 efficiencies 514 Factor SS df MSS F P Model 1.695E+005 6 28252.30 15.86 ˂0.0001 (Significant) A 4284.76 1 4274.76 2.41 0.1469 B 53352.71 1 53352.71 29.95 0.0001 C 7518.02 1 7518.02 4.22 0.0624 AC 10718.02 1 10718.02 6.02 0.0304 BC 35694.85 1 35694.85 20.04 0.0008 B2 57945.48 1 57945.48 32.53 ˂0.0001 Residual 21374.12 12 1781.18 Lack of fit 19052.86 8 2381.61 4.10 0.0944 (Not significant) Pure error 2321.26 4 580.32 Corrected total 2.516E+005 19 SS: sum of square; df: degree of freedom; MSS: mean sum of square; F: Fisher value; p values <0.05 were considered to be significant, where A: voltage, B: flow rate, C: ion balance.
24
515 516 517
Table 4 Regression coefficients and standard errors (SE) of model elements Codded term Coefficient of regression (a) SE Intercept (a0) 361.45 12.25 A 17.71 11.42 B -62.50 11.42 B2. 62.86 11.02 C -23.46 11.42 AC -36.60 14.92 BC 66.80 14.92 2 R -adjusted: 0.8320
518 519
SE: standard error; A: voltage, B: flow rate, C: ion balance
520
25
521
Table 5 Analytical performance of on-chip EME-HPLC/UV for determination of EPH and CLO from urine and plasma samples LOD (μg L-1) LOQ (μg L-1) Linearity (μg L-1) R2 PFa ER% Plasma Urine a b
EPH CLO EPH CLO
11.0 8.0 7.0 3.0
30.0 25.0 20.0 10.0
30.0-500 25.0-500 20.0-450 10.0-450
0.9907 0.9969 0.9960 0.9996
12 13 18 19
21 23 32 34
522 523
RSD%b Inter-assay Intra-assay 6.1 8.2 5.0 6.1 5.7 7.2 4.5 5.3 524 525
Preconcentration factor at 150 μg L-1 Based on six replicate measurements at 150 μg L-1
26
526 527 528 529
Table 6 Determination of EPH and CLO in real samples using on-chip EME method Sample Plasma
Urine
a b
Analyte EPH
Creal (μg L-1) nda
CLO
nda
EPH
nda
CLO
159.4
Cadded (μg L-1) 250.0 50.0 250.0 50.0
Cfound (μg L-1) 259.1 52.6 260.1 48.3
RSD%b 5.1 5.4 4.3 4.8
Error% 3.6 5.2 4.0 -3.4
200.0 240.0 50.0 150.0
205.4 245.1 206.7 313.2
4.6 4.3 4.1 3.9
2.7 -2.1 -5.4 2.5 530 531
Not detected Based on six replicate measurements
27
532
Table 7 A comparison of extraction method with other proposed techniques for the extraction and determination of desired drugs. Method Analyte Matrix LOD LDR R2 RSD% ER% -1 -1 (µg L ) (µg L ) LPME/HPLC-UVa EPH Urine 50 100-10000 0.999 5.0 b HF-LPME/HPLC-UV EPH Urine 60 100-3000 0.991 7.5 10 Plasma 200 250-4000 0.988 8.6 2 c EME/HPLC-UV EPH Urine 5 15-750 0.994 5.2 34 Plasma 10 30-1000 0.993 7.3 14 d LLE/LC-UV EPH Plasma 2-300 0.998 3.0 HS-SPME/GC-FIDe EPH Urine 0. 33 20-20000 0.999 3.9 8 f SO-LLE/LC-UV CLO Water 1.9 10-1000 0.999 <7.0 g LLE/LC-MS CLO Plasma 0.25 0.47-73.98 >0.99 <9.3 OC-EME/HPLC-UVh CLO Urine 3 10-450 0.9996 4.5 34 Plasma 8 25-500 0.9969 5.0 23 EPH Urine 7 20-450 0.9960 5.7 32 Plasma 11 30-500 0.9907 6.1 21
533 534
Extraction time (min) 15 25
Ref.
15
[30]
40 35 71 71 71 71
[8] [31] [32] [33] This work
[29] [30]
535 536 537 538 539 540 541 542
a
Liquid-phase microextraction-liquid chromatography ultraviolet detection. Hollow fiber liquid-phase microextraction. c Electromembrane extraction. d Liquid-liquid extraction. e Headspace solid-phase microextraction–gas chromatography flame ionization. f Salting-out liquid-liquid extraction. g Liquid-liquid extraction-liquid chromatography mass spectrometry detection. h On-chip electromembrane extraction. b
28
543 544
Fig. 1
545 546
29
547
Fig. 2
548 549
30
550
Fig. 3
31
551
Fig. 4
552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 32
568
Fig. 5
569 570
33