Qiao
Ma
,
Jin
Xu
,
Yang
Lu
,
Zhi-Guo
Shi
and
Yu-Qi
Feng
*
Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan, 430072, PR China. E-mail: yqfeng@whu.edu.cn; Fax: +86-27-68755595; Tel: +86-27-68755595
First published on 2nd August 2010
A hydrophobic/cation-exchange polymer monolith was prepared via one-step thermally initiated polymerization of 2-acrylamido-2-methyl-1-propyl-sulfonic acid (AMPS), divinylbenzene (DVB) and ethylene glycol dimethacrylate (EDMA) in a capillary. The use of DVB and EDMA as binary crosslinking monomers help to increase the specific surface area and enhance hydrophobicity of the target monolith. The as-obtained monolith was characterized by diffuse reflectance infrared spectroscopy, scanning electron microscopy, nitrogen adsorption–desorption and mercury intrusion porosimetry. The results show that the monolith has favorable permeability and well mechanical strength. Furthermore, its specific surface area is up to 353 m2 g−1. The as-prepared monolith was used as a sorbent for polymer monolith microextraction (PMME), which was coupled to high performance liquid chromatographic-electrospray ionization-mass spectrometric (HPLC-ESI-MS) analysis in off-line mode for the determination of antidepressants in biological samples. The results show that the monolith with hydrophobic and strong cation-exchange functional groups exhibits high extraction efficiency towards the antidepressants. The limits of detections (S/N = 3) for the antidepressants in plasma samples were in the range of 0.06–0.39 ng mL−1 and the recoveries were from 73.2% to 110.8% (depending on the analytes), with relative standard deviations (RSDs) less than 9.8%.
Important groups of antidepressants include tricyclic antidepressants (TCAs) (imipramine, amitriptyline and clomipramine), tetracyclic antidepressant (TeCA) (trazodone) and the selective serotonin reuptake inhibitors (SSRIs) (citalopram and fluvoxamine). TCAs belong to the first generation of the antidepressants and block the reuptake of the neurotransmitters, norepinephrine and serotonin in the central nervous system.4 Trazodone blocks the reuptake of serotonin in the presynaptic neurones and also acts at the 5-HT1 receptors.5 SSRIs block the reuptake of serotonin at central synapses selectively and powerfully.6 The chemical structures of these antidepressants are shown in Fig. 1. The drugs, especially TCA series, have narrow therapeutic windows and are dangerous in overdoses, which may bring drug-related death issues. In such cases, the risk of adverse effects should be considered. The measurement of these drugs in plasma levels is mandatory.6
Fig. 1 Chemical structures of the antidepressants. |
Solid-phase extraction (SPE)2,7–11 has been the most frequently employed technique for extraction of antidepressants from biofluids. The main purpose of the sample preparation is to enrich target analytes and clean up possible interfering matrices. However, this classic method usually consumes a large volume of sample, as well as being laborious and time consuming. In the past decade, solid-phase microextraction (SPME) was introduced as a simple, sample saving and timesaving extraction technique.6,12–15 To date, a large variety of sorbents has been utilized in SPME. Among these, SPME based on sorbents of polymer monoliths has drawn much attention, in which the SPME is also called as polymer monolith microextraction (PMME).16
Generally polymer monoliths can be synthesized by one-step polymerization and the porous structures of them are readily tunable.17,18 Another remarkable advantage of polymer monoliths lies in that the macroporous structure can realize convective mass transfer, which would be favorable to the extraction process.19
Polymer monolith is the kernel of PMME device. Its chemical composition, porous structure and morphology predetermine the efficiency of the extraction process.20 Poly(methacrylic acid-co-ethylene glycol dimethacrylate) (MAA-co-EDMA) monolith, a polymeric sorbent with weak cation-exchange groups, was first introduced into the technique to analyze several basic drugs in human serum.18 Later on, its application was expanded to biological21,22 and food 23 analysis. The success of poly(MAA-co-EDMA) in PMME has aroused interest from researchers and various monolithic sorbents have been developed, including poly(acrylamide-co-vinylpyridine-co-N,N′-methylene bisacrylamide) (AA-co-VP-co-Bis),24 poly(3-acrylamidophenylboronic acid-co-ethylene dimethacrylate) (AAPBA-co-EDMA),25 hydroxylated26 and diethylamine-modified27 poly(glycidyl methacrylate-co-ethylene glycol dimethacrylate) (GMA-co-EDMA) monolith. These sorbents have shown some unique performance in extraction.
Fabrication of new polymer monoliths to enrich PMME is still an interesting task. Previous reports demonstrate that polymer monoliths with multifunctional moieties are promising. Their applications in capillary electrophoresis or capillary electrochromatography have been shown to be very successful.28–34 However, none of such materials has been used in PMME. In the present study, a new polymer monolith having dual functional groups with hydrophobic and strong cation-exchange properties was prepared for PMME application. γ-Methacryloxypropyltrimethoxysilane (γ-MAPS) was attached to the inner wall of a capillary first by sol–gel reaction. Then monomers of 2-acrylamido-2-methyl-1-propanesulfonic acid (AMPS), divinylbenzene (DVB) and diethylene glycol dimethacrylate (EDMA) were introduced into the capillary for polymerization. In this poly(AMPS-co-DVB-co-EDMA) monolith, AMPS provides ion-exchange interaction sites and DVB help to increase the surface area and enhance hydrophobic interactions.20 Poly(ethylene glycol) (PEG) with different molecule weights were investigated as polymeric porogen to control the porous structure and specific surface area of the monolithic material. Based on this monolith, a method was proposed for the extraction and determination of six antidepressants from human plasma samples by PMME combined with high performance liquid chromatographic-electrospray ionization-mass spectrometric (HPLC-ESI-MS) analysis.
Monolith No. | AMPS/mg | DVB/mg | EDMA/mg | PEG/mg | Specific surface area/m2 g−1 | K 10−14/m2 |
---|---|---|---|---|---|---|
a The volume of co-porogen (DMF) was 220 μL. | ||||||
M1 | 10 | 40 | 40 | — | 440 | 319.6 |
M2 | 10 | 40 | 40 | 20 (PEG-400) | 391 | 1052.7 |
M3 | 10 | 40 | 40 | 20 (PEG-2000) | 408 | 1066.4 |
M4 | 10 | 40 | 40 | 20 (PEG-6000) | 334 | 1310.6 |
M5 | 10 | 40 | 40 | 70 (PEG-2000) | 353 | 5781.3 |
M6 | 5 | 42.5 | 42.5 | 70 (PEG-2000) | 356 | 41751 |
M7 | 15 | 37.5 | 37.5 | 70 (PEG-2000) | 272 | 61508 |
M8 | 10 | 25 | 55 | 70 (PEG-2000) | 249 | — |
M9 | 10 | 55 | 25 | 70 (PEG-2000) | 411 | 1052800 |
M10 | 10 | — | 80 | 70 (PEG-2000) | 289 | — |
M11 | 10 | 80 | — | 70 (PEG-2000) | 330 | — |
A HPLC-ESI-MS system of LCMS-2010EV (Shimadzu, Kyoto, Japan) was used for identification of the antidepressants. The column was Shim-pack VP-ODS (Shimadzu, 150 × 2.0 mm i.d., 5 μm). Isocratic elution was carried out with a mobile phase, which was composed of ACN (containing 0.1% (v/v) formic acid) (31%) and 0.1% formic acid solution (69%), at a flow rate of 0.2 mL min−1. The column oven temperature was maintained at 30 °C and sample injection volume was 10 μL. Capillary voltage was 4.5 kV. Curved desolvation line (CDL) and heat block temperatures for the analysis were set at 250 and 200 °C, respectively. Drying and nebulizer gases of nitrogen were set at 1.5 L min−1 with a pressure of 0.02 MPa. The detector voltage was set at 1.4 eV. Selective ion monitoring (SIM) mode was adopted for quantitative determination of the analytes. The masses were monitored at m/z 372, 325, 319, 281, 278, 315 and 306 which correspond to the protonated molecular ions of trazodone, citalopram, fluvoxamine, imipramine, amitriptyline, clomipramine and sertraline (I. S.), respectively.
Fig. 2 FT-IR characterization of the monoliths M5, M10 and M11. |
To be useful in PMME application, the permeability and surface area of the monolith should be controlled.36 Therefore, optimization of the preparation conditions of the monoliths is necessary. The effects of reactant ratios on permeability and surface area of the monolith were investigated in detail, with the results summarized in Table 1.
Fig. 3 shows the SEM images of these monoliths. As can be seen from Fig. 3-M1, without PEG porogen, the monolith has a compact continuous bed which was consisted of nano sized microglobules. The specific surface area of M1 was 440 m2 g−1 and the permeability was extremely poor. After adding 20 mg PEG-400 into the reactant, the specific surface area was decreased to 391 m2 g−1 and the calculated K of the resulting monolith increased from 3.196 × 10−12 to 1.0527 × 10−11 m2, as shown in Table 1. With an increase of PEG molecular weight in the polymerization mixture, the microglobules became bigger (Fig. 3-M3 and Fig. 3-M4) and the specific surface area decreased slowly, but the permeability of monoliths was still unsuitable for extraction. In such a case, the weight of PEG-2000 was investigated from 20 (M3) to 70 mg (M5) to understand its influence on the permeability of the monoliths. According to the SEM observation (Fig. 3-M3 and Fig. 3-M5), the size of the macropores increased as the PEG content increased, which improved the permeability of the monolith.
Fig. 3 Scanning electron micrographs of the monoliths M1, M3, M4, M5, M8 (×20000) and M9 (×2000). |
In addition to PEG, the influence of the monomer ratios was also investigated. The results demonstrate that the ratio of DVB/EDMA affects the integrality of the monolith dramatically. For example, the monoliths M8, M10 and M11 were detached from the capillary walls, leading to a failure of the column preparation. Under some other conditions (M7 and M9), the monolith exhibited poor mechanical stability and the polymeric bed collapsed under pressure during the extraction process. As for M6, the ion-exchange site density of monomer AMPS was inadequate to achieve an acceptable extraction performance.
In all the prepared monoliths, M5 has the appropriate functional groups, large specific surface area, favorable permeability and well mechanical strength. Therefore, the reactant ratios of monolith M5 were chosen for the preparation of PMME medium in this study.
The microscopic morphology and pore size distributions of monolith M5 are shown in Fig. 4. It can be observed that the monolith is attached tightly to the inner wall of the capillary (Fig. 4a) and the macropores are interconnected with the polymer skeletons (Fig. 4b). Additionally, the monolith was characterized by a bimodal porous structure consisting of through-pores (macropores) and mesopores. As shown in Fig. 4c, the macropore diameter is around 2.0 μm, which is responsible for good permeability. Fig. 4d shows that mesopores with a wide size distribution in the range of 2–20 nm exist in the monolith.
Fig. 4 Scanning electron micrographs of the monolith M5 with magnifications at 150 (a) and 5000 (b). (c) Macropore size distribution profile and (d) mesopore size distribution of the monolith M5. |
The pH values determine the charge status both of the analytes and of the stationary phase, which in turn affects the interaction between them. As shown in Fig. 5a, the extraction efficiency is highest at around pH 3.0. Under this condition, all antidepressants were present in their protonated forms, which may increase their ion-exchange interaction with the sulfonated groups on the monolith. Therefore, highest extraction performance was obtained. In view of this, pH 3.0 was selected for the subsequent analysis.
Fig. 5 Effect of the (a) pH, (b) salt concentration and (c) acetonitrile content in the sample matrix on the extraction efficiency. Sample solution was consisted of six compounds spiked at 1.0 μg mL−1. |
The effect of salt addition on the extraction efficiency was also investigated. It is known that the addition of salt may decrease the ion-exchange interaction between the analytes and the monolith. As a result, the extraction efficiency should be decreased as the salt concentration increased. However, in the present study, the result indicates that the salt has little influence on the extraction of the analytes, as shown in Fig. 5b. Probably the ion-exchange interaction and hydrophobic interaction co-account for this phenomenon. Though the increase of the salt concentration decreased the ion-exchange interaction, it could enhance the hydrophobic interaction between the analytes and the monolith. As a result, the extraction was not markedly influenced by the salt addition. To simplify sample preparation as well as the extraction process, no sodium chloride was added in subsequent experiments.
As real samples are very complex, matrices may adsorb onto the monolith. In such a case, clean-up of the monolith is necessary before elution of the target analytes. Fig. 5c shows the influence of the organic solvent content on the extraction efficiency of the analytes. In the investigations, antidepressants were spiked at the 1 μg mL−1 level using a mixed solution of 0.005 mol L−1 phosphate solution (pH 3.0): ACN mixed in various ratios. For most analytes, the extraction efficiencies were almost constant when ACN ranged from 5–60%. Then they declined rapidly as the ACN content further increased. On the one hand, the increase of ACN content would swell the polymer monolith, which may expose many embedded interaction sites, leading to an increase in the extraction efficiency. On the other hand, the ACN can decrease the hydrophobic interaction between the analytes and the monolith. These two factors co-affected the retention of analytes on the monolith. To eliminate the possible matrices adsorption while keeping the analytes in situ, 20% of ACN was used to flush the monolith after extraction.
Moreover, the extraction volume profile was investigated by increasing the sample volume while keeping the flow rate constant at 0.06 mL min−1. The analytes were completely absorbed on the monolith and no breakthrough was observed even up to 4 mL of loaded samples (data was not shown). It demonstrates the monolith has good affinity for the analytes. Considering the sensitivity as well as saving the analysis time, 1 mL of sample volume was selected in the extraction.
The chromatograms of six antidepressants obtained by PMME/HPLC-UV and direct HPLC-UV analysis under the optimized conditions are shown in Fig. 6a and Fig. 6b, respectively. Apparently, after extraction, a significant peak height enhancement was observed, showing the remarkable preconcentration ability of the monolithic column.
Fig. 6 HPLC chromatograms of six antidepressants obtained by (a) PMME and (b) direct injection of the standard sample. Sample solution is consisted of six compounds spiked at 1.0 μg mL−1. The injection volume was 20 μL. Extraction volume was 0.3 mL. Peaks: 1. trazodone, 2. citalopram, 3. fluvoxamine, 4. imipramine, 5. amitriptyline, 6. clomipramine. |
Compound | Intra-batch RSD (%, N = 4) | Inter-batch RSD (%, N = 4) |
---|---|---|
a The compounds were spiked at 1 μg mL−1 in 0.005 mol L−1 phosphate solutions (pH 3.0). The extraction volume was 0.3 mL. | ||
Trazodone | 2.0 | 5.5 |
Citalopram | 6.6 | 8.1 |
Fluvoxamine | 8.8 | 9.0 |
Imipramine | 2.3 | 8.5 |
Amitriptyline | 5.5 | 11.9 |
Clomipramine | 4.5 | 11.8 |
Fig. 7 The selected ion monitoring (SIM) chromatograms of six antidepressants obtained by PMME/HPLC-ESI-MS from spiked plasma sample. The analytes were spiked at 10 μg mL−1. The injection volume was 10 μL. Extraction volume was 1 mL. Peaks: 1. trazodone, 2. citalopram, 3. fluvoxamine, 4. imipramine, 5. amitriptyline, 6. clomipramine, I.S. sertraline. |
The matrix effect on PMME was examined by relative extraction efficiency calculated by comparing the peak area ratios of analytes and IS (10 ng mL−1 sertraline) from the spiked plasma samples to those obtained from the standard solutions. Except for fluvoxamine, and clomipramine, relative extraction efficiencies of the other antidepressants were a little low (ranging from 64 to 87%). Obviously, the plasma matrices may affect the interaction between analytes and the monolith, which results in low extraction efficiency. Therefore, method validation was performed in plasma samples in subsequent experiments.
Compound | Concentration rang/ng mL−1 | Regression line | LOD/ng mL−1 | LOQ/ng mL−1 | ||
---|---|---|---|---|---|---|
Slope | Intercept | R2 value | ||||
Trazodone | 0.5–250 | 0.1795 ± 0.0053 | 0.1934 ± 0.5121 | 0.9880 | 0.12 | 0.41 |
Citalopram | 0.5–250 | 0.2172 ± 0.0053 | 0.3638 ± 0.5160 | 0.9917 | 0.14 | 0.46 |
Fluvoxamine | 5–250 | 0.0393 ± 0.0012 | 0.0872 ± 0.1390 | 0.9901 | 0.39 | 1.31 |
Imipramine | 0.5–250 | 0.1693 ± 0.0024 | 0.3318 ± 0.2323 | 0.9972 | 0.06 | 0.20 |
Amitriptyline | 0.5–250 | 0.1829 ± 0.0008 | −0.0045 ± 0.0731 | 0.9998 | 0.10 | 0.33 |
Clomipramine | 1–250 | 0.1621 ± 0.0020 | 0.0481 ± 0.2091 | 0.9982 | 0.18 | 0.59 |
Compound | Intraday RSD (%, N = 5) | Interday RSD (%, N = 4) | Recovery (%, N = 4) | ||||||
---|---|---|---|---|---|---|---|---|---|
1 (ng mL−1) | 10 (ng mL−1) | 100 (ng mL−1) | 1 (ng mL−1) | 10 (ng mL−1) | 100 (ng mL−1) | 1 (ng mL−1) | 10 (ng mL−1) | 100 (ng mL−1) | |
Trazodone | 5.5 | 6.1 | 3.3 | 7.4 | 5.8 | 6.7 | 103.9 | 100.5 | 100.9 |
Citalopram | 5.5 | 2.7 | 4.0 | 4.0 | 5.9 | 6.1 | 93.5 | 96.5 | 93.2 |
Fluvoxamine | — | 5.8 | 5.1 | — | 8.9 | 9.8 | — | 104.0 | 99.2 |
Imipramine | 3.3 | 4.7 | 5.2 | 5.3 | 3.1 | 3.2 | 73.2 | 91.9 | 93.4 |
Amitriptyline | 4.6 | 3.6 | 3.2 | 5.2 | 2.7 | 7.0 | 107.9 | 104.8 | 100.8 |
Clomipramine | 4.2 | 1.0 | 4.5 | 6.5 | 7.0 | 3.6 | 110.8 | 100.9 | 105.2 |
This journal is © The Royal Society of Chemistry 2010 |