Influence of bridged monomer on porosity and sorption properties of mesoporous silicas functionalized with diethylenetriamine groups
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Influence of bridged monomer on porosity and sorption properties of mesoporous silicas functionalized with diethylenetriamine groups
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Mariusz BarczakMałgorzata GilKonrad TerpiłowskiDaniel KamińskiPiotr Borowski
First Online: 07 March 2019
Mesoporous organosilicas functionalized simultaneously with both pendant amine groups and ethylene/phenylene bridges, were synthesized to evaluate the effect of the bridges incorporated in the silica framework on the structure, porosity and adsorption properties of final materials. It turned out that the presence of the bridges enhanced the formation of porosity but adversely affected the efficiency of amination. DFT theoretical calculation showed that the amine groups can be partially bonded by phenyl groups of the bridges. The obtained materials were tested as sorbents of diclofenac, which is considered as one of the most prominent hazardous pharmaceuticals. High uptakes of diclofenac reaching 842 mg g−1 proved that the obtained materials could be applied for removal of drugs from waters and wastewaters, particularly when high concentrations of pharmaceutical are considered. For the phenylene bridged-based materials the diclofenac adsorption occurs only in the pores while for the others also on the external surface as indicated by different diclofenac desorption kinetics—this observation can be used to modulate the releasing profiles of drugs via proper design of the surface.
KeywordsMesoporous silica Hybrid materials Porosity Adsorption Diclofenac Controlled release
Templated mesoporous silicas are frequently studied adsorbents due to the wide range of beneficial properties including high surface areas, tunable pore sizes and good hydrothermal and mechanical stability. Two most known representatives are MCM-41 (Beck et al. 1992; Kresge et al. 1992) and SBA-15 (Schmidt-Winkel et al. 1999; Zhao et al. 1998) structures, both possessing hexagonal arrangement of cylindrical mesopores. They are synthesized using different templates and under different conditions. Apart from structural and morphological features that can be controlled by proper design of the fabrication protocol also chemical properties can be simultaneously tailored. Remarkable development of different modification protocols has been reported in the literature which brought the mesoporous silicas closer to the applications in which precise and simultaneous control over the surface chemistry, porous structure and stability is required. Those applications include for example controlled drug delivery (Martín et al. 2018; Song et al. 2005; Vallet-Regí et al. 2017), wastewater treatment (Aguado et al. 2009; Barczak 2018; Cotea et al. 2012; Huang et al. 2011; Martucci et al. 2012), stationary phases in chromatography (Bruzzoniti et al. 2007; Katiyar et al. 2005; Yasmin and Müller 2011; Zhao et al. 2002) and many others. There is many actual reviews dealing with applications of mesoporous silicas in the literature (Bagheri et al. 2018; Cashin et al. 2018; Croissant et al. 2018; Da’na 2017; Walcarius 2018).
Chemical functionalization is almost always applied to alter the final properties and bring templated mesoporous silica materials closer to a wide range of environmental remediation applications. Two different strategies are usually employed to provide the desired surface modification: co-condensation (Barczak et al. 2013; Yokoi et al. 2003; Zhang et al. 2008) and post-synthesis grafting (Mureseanu et al. 2008; Trindade et al. 2012; Yokoi et al. 2003). Both strategies lead to the materials differing in the reactivity, pore accessibility and distribution of functional moieties, both have also some disadvantages (Barczak 2018). Co-condensation method allows a direct incorporation of functional groups onto the silica surface (and most probably also into mesoporous framework) during one-stage treatment. However, the higher concentrations of functional co-monomer(s) cause deterioration of the ordered structure and porosity also due to their destructive effect on surfactant micelles formed prior to the addition of the silica monomers. This is not observed in the case of post-synthesis grafting because functional co-monomer is linked to the hydroxylated surface after completion of the synthesis of mesoporous silica. The main drawback of post-synthesis grafting is that the introduced groups are often unevenly distributed inside the pore walls and external particle surface. Usually density of grafted functional groups is much higher near the pore openings limiting at the same time the access (and—as a consequence—the number) of grafted functionalities inside the mesopores (Kecht et al. 2008).
Many different pendant functional groups has been successfully attached by co-condensation and/or grafting including hydrocarbon groups (e.g., alkyl (Barczak et al. 2009a; Li et al. 2015), vinyl (Barczak et al. 2009b; Wang et al. 2004), phenyl (Barczak et al. 2010b; Fan et al. 2017; Huang et al. 2013)) as well as the groups with complexing properties (amine (Barczak et al. 2013; Chong and Zhao 2003; Dobrowolski et al. 2013; Zhu et al. 2012), thiol (Barczak et al. 2016; Crudden et al. 2005; Liu et al. 2000), pyridine (Barczak 2018), carboxyl (Han et al. 2007; Shen et al. 2008; Tsai et al. 2016)). Co-condensation also allows for incorporation of bridged multi-silylated monomers resulting in the so-called periodic mesoporous organosilicas (Asefa et al. 1999; Inagaki et al. 2002; Mizoshita et al. 2011; Yoshina-Ishii et al. 1999). Those materials have uniformly incorporated organic bridges (instead of pendant groups) covalently bonded to two or more silicon atoms in the silica framework.
Among all functionalized mesoporous organosilicas amine-functionalized ones are most widely studied due to complexing properties of amine groups which renders those materials particularly useful in sorption-based applications where proper porous structure and tailored surface chemistry are two factors tremendously affecting the adsorption processes.
To date amine-functionalized mesoporous materials have been widely tested for removal of heavy metal ions (Aguado et al. 2009; Barczak et al. 2013; Da’na 2017; McManamon et al. 2012), phenols (Toufaily et al. 2013), H2S (Jaiboon et al. 2014), sequestration of carbon dioxide (Chang et al. 2009; Gunathilake et al. 2016) but their use for removal of hazardous pharmaceuticals from aqueous media is barely explored (Barczak et al. 2018). Amine groups are usually incorporated by the use of aminopropyltriethoxysilane (APTES) or aminopropyltrimethoxysilane (APTMS) either by co-condensation or post-synthesis grafting. Very often, when higher concentration of amine groups is needed other monomers containing two or three amine groups can be used, namely N-[3-(trimethoxysilyl)propyl]-ethylenediamine (TMPED) or (3-trimethoxysilylpropyl)diethylenetriamine (TMPET), having two and three amine groups, respectively.
Regardless of the type of aminosilane, there is a serious problem associated with their incorporation by co-condensation already mentioned before, i.e., destruction of the ordered mesophase resulting in reduced porosity and ordering. The destructive effect of amine groups can be partially overcome by increasing the time interval between addition of silica monomer (usually tetraethoxysilane) and amine-functional monomer (usually aminopropyltrialkoxysilane). This maneuver allows for the creation of initial silica framework robust enough against destructive action of the second monomer. The drawback of this approach is the reduced functionalization efficiency, i.e., only a part of amine groups is successfully incorporated within the silica framework with simultaneous deterioration of the ordering and porosity (Barczak et al. 2018). In this paper the possible solution to the-above described problem is investigated, i.e., addition of the bis-silylated silica monomer prior to addition of aminosilane. This approach can be used to tune the structural, chemical but also sorption-related properties which has been shown here.
The following reagents were used as received: triblock copolymer Pluronic P123 (P123, Mn = 5800, Sigma-Aldrich), tetraethoxysilane (TEOS, 99%, Sigma-Aldrich), 3-trimethoxysilylpropyldiethylenetriamine (TMPET, 95%, Fluorochem), 1,2-bis(triethoxysilyl)ethane 95% (BTESE, 96%, Sigma-Aldrich), 1,4-bis(triethoxysilyl)benzene 96% (BTESB, 96%, Sigma-Aldrich), 4,4-Bis(trimethoxysilyl)-1,1-biphenyl (BTMSD, 95%, Sigma-Aldrich), HCl (36%, POCH), NaOH (POCH), NaCl (POCH), ethanol (EtOH, 99.8%, POCH), (DICL, > 98%, Sigma-Aldrich).
2.2 Synthesis of the xerogels
The synthesis of the samples was adopted from our previous papers (Barczak et al. 2018, 2010a, 2009b). 2 g of P123 was dissolved in 72 mL of 1.75 M HCl under stirring at 40 °C. After 8 h of stirring 14 mmol of TEOS was added dropwise to this solution. After 15 min 2 mmol bridged monomer was added (BTESE—sample R2, BTESB—sample R3 or BTMSD—sample R4) followed by addition of 2 mmol of TMPET after next 15 min. For the reference purposes sample without bridged monomer, i.e., R1, was also synthesized by addition of 2 mmol of TMPET to 18 mmol of TEOS with interval time 30 min. The resulting mixtures were stirred at 40 °C for 24 h followed by ageing at 100 °C for the next 24 h. The precipitated solids were thoroughly washed with distilled water, filtered and extracted three times with acidified absolute ethanol (each portion was composed of 98 mL of 96% ethanol and 2 mL of conc. HCl) at 80 °C for 4 h to remove the template. After filtration, the obtained powders were again thoroughly washed with distilled water, filtered again and dried overnight at 80 °C.
2.3 Instrumental characterization
The nitrogen isotherms were measured at − 196 °C using an Quantachrome 1200e analyzer after degassing the samples at 110 °C in vacuum for 12 h. The BET specific surface areas (SBET) were evaluated in the range of relative pressures p/p0 of 0.05–0.20. The total pore volumes (Vtotal) were calculated by converting the amount adsorbed at p/p0 = 0.99 to the volume of liquid adsorbate. Micropore pore volume (Vmicro) were calculated using Saito–Foley method (Saito and Foley 1991). The average pore sizes (dDFT) were estimated using the NLDFT method using ASiQwin 3.0 software (Quantachrome). The CHN elemental analysis was carried out using the Perkin Elmer CHN 2400 analyzer. The FTIR spectra were measured by means of FTIR 6200 spectrometer (Jasco) in the range of 4000–400 cm−1 with the resolution 4 cm−1 by averaging 32 scans. The TEM imaging of randomly selected parts of the surface was performed on Tecnai G20 X-Twin (FEI) microscope with 200 keV accelerating voltage. The SEM imaging of randomly selected parts of the surface was performed under high vacuum conditions by means of Quanta 3DFEG (FEI) microscope with the accelerating voltage 5–30 keV. The samples were coated with Pd/Au using the Polaron SC7640/CA7625 (Quorum Technologies) sputter coater. The zeta potential was evaluated using Zetasizer Nano ZS (Malvern Instruments). Suspensions were prepared by dispersing ~ 0.02 g of ground samples in 4 mL of 1 × 10−3 M KCl. Thermal analyses (TG) were carried out in oxygen atmosphere on a STA 449 Jupiter F1 (Netzsch, Germany) with sensor thermocouple type S TG-DTA under the following operational conditions: heating rate 10 °C min−1, oxygen flow: 50 mL min−1, temp. range: 25–600 °C, sample mass: ~ 5 mg. Diffraction patterns were measured using Empyrean X-ray diffractometer (PANalytical, The Netherlands) equipped with copper anode and multilayer focusing mirrors. Samples were measured in θ–2θ geometry over a range from 0.2 to 7° with step size of 0.012°. The beam slit was 1/16 mm.
2.4 Sorption of pharmaceuticals
In each experiment ~ 10 mg of adsorbent was shaken for 16 h with 30 mL solution of different DICL aliquots (namely 25, 50, 100, 150, 250, 500 and 1000 mg L−1). The pH was adjusted to 5.5 using 10−3 M NaOH and 10−3 M HCl. The equilibrium adsorption amounts were calculated from mass balance using the formula: a = (ci − cj) V m−1, where ci is the initial concentration (mg L−1), cj is the equilibrium concentration (mg L−1), V is the volume of the solution (L) and m is the mass of the adsorbent (g). Measurements of DICL concentrations were completed using the UV–Vis spectrometer Specord 200 (Analytic Jena) at wavelength 278 nm. The small volume of the solution was filtered before measurement using syringe 0.45 µm filter.
2.5 DFT calculations
Calculations of equilibrium geometries and harmonic vibrational frequencies of the selected representative fragments were carried out at the DFT/B3LYP computational level with (Becke 1993) 6 − 311 + + G** basis set (Frisch et al. 1984; Krishnan et al. 1980). All optimized structures turned out to be local minima (i.e., all vibrational frequencies were real numbers). Calculations were performed using the PQS quantum chemistry package (Baker et al. 2009). The relative energies for the process A + B+…→C + D+… were calculated according to the following formula: EC + ED + … − EA − EB… The negative value indicates that products are more stable than substrates.
The names of the samples along with physico–chemical characterization are presented in Table 1 and the scheme of the synthesis—in Fig. 1. The molar ratio 14:2:2 (sample R2–R4) or 18:2 (sample R1) was chosen to keep constant number of silicon atoms in each reaction mixture (note that one mmol of bis-silylated bridged monomer, i.e., BTESE, BTESB, BTMSD contains 2 mmol of Si atoms). As follows from our previous investigations the addition of 10% of TMPET results in a significant decrease of porosity from the one hand but very well DICL sorption uptakes from the other (Barczak et al. 2018) thus it was decided to keep that ratio here. It was suggested in the literature that the addition of bis-silylated bridged monomer can oppose destructive action of amino silane (Barczak et al. 2009b). Indeed looking at the adsorption isotherms presented in Fig. 2a it can be seen that samples synthesized with the addition of BTESE (sample R2), BTESB (sample R3) or BTMSD (sample R4) have more developed porosity than the sample R1. In the case of the sample R3 the shape of isotherm with H1 type of the hysteresis loop is typical for highly ordered SBA-15 mesoporous structure. The remaining samples exhibit H2/H3 type of hysteresis loop indicating rather disordered mesoporous structure. Pore size distributions presented in Fig. 2b have two maxima: one located in the range 3.3–4.0 nm and the other located in the range 8.5–11.7 nm. The second maximum is due to the primary mesopores created due to the removal of the template (Pluronic P123). In Table 1 the values of porous structure parameters are shown. Addition of the bis-silylated bridged monomer increase the average size of primary mesopore which is particularly visible for the sample R3 (11.7 nm). Sample R2 has the highest value of specific surface area (SBET) and micropore volume (Vmicro) among all the samples studied. Interestingly total pore volumes (Vtotal) of the samples R2–R4 are two times higher than that of the sample R1. All the observed changes testify that addition of bis-silylated bridged monomer remarkably influences the porous structure of the final samples.
Synthesis conditions, elemental composition and ζ potential values of the studied materials
Molar composition (mmol)
Elemental analysis (mass content)
Potential ζ (mV)
SBET (m2 g−1)
Vtotal (cm3 g−1)
Vmicro (cm3 g−1)
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Scheme of co-condensation leading to the amine-functionalized silica materials
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Adsorption isotherms (a) and the corresponding pore size distributions (b) of the samples studied
As can be seen from the low-angle XRD patterns (Fig. 3) all the materials exhibit an ordering, albeit with different degree and type. In the case of the sample R3 there are three well resolved peaks in the range of 2θ = 0.8–1.8°, one sharp reflection centered at 2θ = 0.8° indexed as (100), and two minor but distinct reflections at 2θ = 1.5° and 2θ = 1.7°, indexed as (110) and (200), respectively. This pattern, related to the hexagonal p6mm symmetry, is characteristic of well-developed SBA-15 mesostructure (Barczak et al. 2010a, 2009b). In the case of the sample R1 there are two reflections related to the cubic Ia3d symmetry: a well resolved one at 0.9° and a smaller hump at 1.1° indexed as (211) and (220) respectively (Barczak et al. 2009b; Liu et al. 2002). Decreased peak intensity of the (220) reflection can be related to the presence of organic moieties (coming from the co-condensed TMPET monomer) and inside the pores which could false diffract (Visuvamithiran et al. 2013). In the case of the samples R2 and R4 it is difficult to clearly assign a specific space group because there is only one reflection centered at 2θ = 1.8°. This also means that the ordering of the samples R2 and R4 is deteriorated, most probably due to presence of specific co-monomers in the initial mixture adversely affecting the formation of the mesophase during the synthesis.
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Low-angle X-ray diffractograms of the samples studied
Interestingly the addition of BTESB bridged monomer preserve the p6mm symmetry of the final R3 sample, in contrast to remaining bridged monomers. Another interesting observation is that the specific combination of monomers can induce a change of the symmetry from hexagonal to cubic, despite the fact that the synthesis conditions were set to obtain samples with hexagonal symmetry. We reported previously that the presence of vinyltriethoxysilane co-monomer can result in cubic symmetry (Barczak et al. 2009b); from this research it follows that also TMPET behaves similarly. Previously it was observed for 3-mercaptopropyltriethoxysilane (Garcia-Bennet et al. 2004). Most probably this is a more common feature of the hybrid silica structure synthesized by co-condensation of pure silica monomer (like TEOS) and organic monomer with pendant group (like TMPET) and is governed by the amount of co-monomer and most probably other synthesis parameter (e.g., processing temperature). The detailed explanation of this phenomenon exceeds the scope of this paper.
The contents of nitrogen, carbon and hydrogen are given in Table 1. Different nitrogen contents indicate successful co-condensation, albeit with different functionalization efficiencies (FE, calculated as a ratio of the measured and theoretical content of nitrogen). While the addition of BTESE does not change significantly the FE the same is not true for the BTESB and BTMSD—samples R3 and R4 have significantly lower nitrogen contents and, consequently, lower FE values. The common feature of those two above-mentioned monomers is that they possess the benzene rings thus some additional interactions between the rings and amine groups can be responsible for the resulting lower functionalization efficiency. Thus TMPET molecules can be specifically oriented (in a statistical sense) during the synthesis which may result in their limited hydrolysis and co-condensation.
To further investigate the chemistry of the studied samples FTIR spectra were collected (Fig. 4). The most intensive band with the maximum at ~ 1075 cm−1 which has a shoulder at 1150–1250 cm−1 can be attributed to stretching modes of the siloxane framework. The bands located at ~ 950 cm−1, ~ 800 cm−1 and ~ 450 cm−1 can be assigned to Si–O vibrations in the Si–OH moieties, symmetric stretching vibrations of Si–O–Si, and bending vibrations of Si–O–Si, respectively (Sanaeishoar et al. 2015).
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FTIR spectra of the samples R1–R4 (a–d) studied before and after sorption of DICL (spectrum of DICL was added to each graph for better comparison)
The presence of the –СН2– link in the alkyl chain of TMPET and ethylene bridge of BTESE is confirmed by a group of absorption bands in the region of ~ 2800–3000 cm−1, attributed to the stretching modes of CH2 groups, and possibly CH3 groups (fragments of residual ethoxy groups as well us unremoved traces of template). The higher intensity of those signals for the samples R3 and R4 may testify to considerable amount of unremoved Pluronic P123. Two absorption bands of stretching vibrations of amine groups located in the region of 3300–3500 cm−1 could not be detected due to the presence of a wide band of the physically adsorbed water extending from ~ 3700 cm−1 to ~ 3000 cm−1. In the case of the samples R3 and R4 the presence of benzene rings should be manifested by not very intense bands in the range of 3000–3100, ca. 1600 and ca. 1500 cm−1 although due to low concentrations of the other co-monomers co-condensed with TEOS there are no clear signals on the FTIR spectra.
Thermal stability of the synthesized samples was evaluated by means of thermal gravimetry (Fig. 5). Sample R1 reveals a total mass loss of approximately 20%, due to the three distinctive but often overlapping processes occurring during thermal treatment: the evaporation of physically adsorbed water (< 150 °C, ~ 4% mass loss) decomposition of organic fragments (150–450 °C, ~ 14% mass loss) and dehydroxylation of surface silanols (> 450 °C, ~ 2% mass loss). Two distinct DTG maxima observed at 75 °C and 290 °C correspond to the first two processes. Interestingly, the location of those maxima vary from sample to sample. The first maximum is centered at 70–75 °C for the samples R1, R3 and R4 but it is shifted to 85 °C for the sample R2. This means that water is bound stronger in the pores of R2 sample than in the case of the rest of the samples. This may be due to the highest content of micropores (cf. Table 2) where a significant part of water can be stored. The second maximum on DTG curves is centered at ~ 285 °C for the samples R1 and R2 and at ~ 360 °C for the samples R3 and R4. This maximum arises from the decomposition of pendant propyldiethylenetriamine groups as well as the organic bridges. In the case of R3 and R4 samples, this maximum is shifted towards higher temperatures which means that the benzene bridges make the silica samples more resistant to thermal decomposition. In the case of the samples R3 and particularly R4 the third maximum arises at 600 °C due to the remarkable dehydroxylation of the surface silanols. The results of TG and DTG analyses clearly show that co-condensation of the monomers was successfully achieved.
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The TG (a) and DTG (b) curves in oxygen for the samples R1–R4
Fitting parameters for the studied adsorption systems
SSC (mg g−1)
Sips (Langmuir–Freundlich) fitting
The SEM and TEM data presented in Figs. 6 and 7, respectively show that the morphology is typical for SBA-15, i.e., it is composed of the “sausage-like” hexagonal motifs often curved and connected to others along long edges. The TEM microphotographs reveal that those motifs are formed by the ordered mesoporous network of long uniform hexagonal mesopores with the diameter of several nm, which is consistent with the pore sizes obtained from the nitrogen sorption data (cf. Table 1).
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SEM images of the selected samples (R1—a, b; R4—c, d)
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TEM images of the sample R1
To reveal possible application of the fabricated xerogels for removal of pharmaceuticals as well as to correlate their physico-chemical properties with sorption efficiencies, adsorption of diclofenac sodium salt (DICL) was studied. Diclofenac poses a significant risk to the environment and to human health thus it is considered as one of the priority pollutants in the European Water Framework Directive. DICL is a commonly prescribed in large quantities, and—as a result—it has being detected in wastewaters along with its metabolites and products of its photo-transformational changes. Chronic exposure to DICL has adverse effects for aquatic animals and humans (Barczak et al. 2018).
From our previous works it follows that the adsorption of DICL is very fast and usually 2–4 h are needed to reach equilibrium and the pH 6 is optimal (Barczak 2018; Barczak et al. 2018). Thus the sorption experiments were run for 16 h at pH 6 (unbuffered solution). The observed static sorption capacities (SSC) are given in Table 2. As it can be seen, samples R1 and R2 exhibit highest SSC values of 841.8 and 808.7 mg g−1, respectively, while the samples R3 and R4 have lower SSC values of 607.6 and 394.5 mg g−1, respectively. The higher SSC values for R1 and R2 are obviously related to higher number of protonated amine groups ready to electrostatically interact with DICL anions. In the case of samples R3 and R4, the lower number of amine groups results in lower SSC values. However, despite the similar nitrogen content (R3: 1.87% vs. R4: 1.96%) there is a huge difference in SSC values. Both samples have similar porous structure so the reason of this behaviour must by related more to the surface chemistry than porosity. Looking at the values of potential ζ collected in Table 1, it can be seen that all the samples have positive values of ζ which means that the surface of all the sorbents can electrostatically attract DICL anions (pKa value of DICF which is 4.15 (Barczak et al. 2018) thus at pH 6 the soluble ionized form of DICF is almost exclusively present in the solution). Among all the samples, R4 has the lowest value of ζ (24.6) which means that the electrostatic interactions are the most suppressed for this adsorption system. The highest mass loss > 450 °C observed on the TG curve of this sample (Fig. 5a) due to the dehydroxylation testifies to the abundance of silanol group present on the surface (reflected in lower ζ value). Thus the resulting charge density is not only controlled by the amine groups but also by the silanol groups, whose are mostly deprotonated at pH 6. Thus, even for surface-functionalized mesoporous silica, the effective charge density is not only controlled by the incorporated functionalities but also by the number and form (protonated vs. deprotonated) of the silanol groups (Rosenholm et al. 2007).
The adsorption isotherms are presented in Fig. 8 along with their fitting using three common adsorption models: Langmuir, Freundlich and Sips (also called Langmuir–Freundlich). The proper formulas can be found in one of our previous works (Barczak 2018; Barczak et al. 2018). Fitting parameters are given in Table 2. The correlation coefficients show that Sips and Langmuir models fit the results better than the Freundlich model. However, correlation coefficients are noticeably better for Sips than for Langmuir model. Interestingly the KL and KLF constants, (also called affinity constants) are significantly higher for R4 sample when compared with the rest of the samples. It should be mentioned that the fitting results should be interpreted cautiously since Sips equation has three parameter so it can fit per se the isotherms better that two-parameter models of Langmuir and Freundlich.
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Adsorption isotherms and their fitting with Langmuir, Freundlich and Sips (Langmuir–Freundlich) models
The presence of adsorbed DICL is unquestionably confirmed by FTIR spectroscopy—spectra of loaded sorbents are presented in Fig. 3 (for convenience, the spectrum of DICL sodium salt is also given at each spectrum). Comparing the spectra of the samples before and after adsorption it can be seen that there are additional signals characteristic of DICL, namely: 3322 cm−1 (amine stretching), 1560 cm−1 (aromatic symmetric CC stretching), 1506 and 1453 cm−1 (asymmetric ring stretching and symmetric deformation of methylene groups, respectively), 1576 and 1381 cm−1 (stretching modes of carboxylate group), 1302 and 1279 cm−1 (C–N stretching).
In this work regeneration was achieved by immersing the loaded sorbents in 0.9% NaCl at 40 °C. Full desorption was achieved after 48 h which was confirmed by FTIR spectra of the samples after desorption exhibiting lack of signals characteristic of DICL. Desorption curves aligned as releasing profiles are shown in Fig. 9. Although all the profiles look similar there is a very important difference between them: amount of desorbed DICL after only one minute of contact with NaCl solution vary significantly from sample to sample: for R1 = 30% of DICL is immediately released, for R2: ~ 20%, while for R3 and R4 only 7% and 2%, respectively. Obviously, the immersion of sorbents in 0.9% NaCl solution (ionic strength: 154 mmol) suppresses the electrostatic interactions between the silica surface and deprotonated DICL anions which results in immediate release of some portion of the drug. This means that the significant amount of DICL is physically bounded to the surface via electrostatic interactions. It was already suggested and confirmed by both experimental findings and theoretical calculations that the first layer of adsorbed DICL is strongly bonded by hydrogen bonds formation between protonated amine groups and carboxylate anions but the next layers of the adsorbed DICL are due to the electrostatic Coulombian interactions (Barczak et al. 2018). Those findings are in agreement with the current state-of-the-art where above-mentioned mechanisms along with hydrophobic interactions are usually considered as three possible mechanisms responsible for the diclofenac adsorption.
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DICL releasing profiles for the studied samples
In our previous paper we have shown that the main driving adsorption force between protonated amine groups and diclofenac anion is the hydrogen bond formation (this applies to DICL anions layers having direct access to the protonated amine groups, the remaining anions interact via electrostatic attraction). Thus it was interesting to investigate whether the organic bridges affect the stabilization of the final complex. To verify this the DFT calculations for the R2 and R3 sorbents were performed in a fashion described in our previous papers (Barczak et al. 2018), i.e., we estimated energetic effect associated with the adsorption of DICL⊖ on the protonated amine groups. For simplicity, we used here the aminopropyl group endcapped with hydrogen atom, i.e., CH3–(CH2)2–NH2 as in ref. (Barczak et al. 2018) instead of using CH3–(CH2)2–NH–(CH2)2–NH–(CH2)2–NH2 group. This time the protonated …N⊕H3⋯H2O group was allowed to interact with (MeO)3Si–(CH2)2–Si(OMe)3 and (MeO)3Si–Ar–Si(OMe)3 systems (note that further simplification consisted in replacement of the ethoxy group with methoxy group was introduced in order to further reduce the system size). It was also assumed that the …N⊕H3⋯H2O group is a member of a neighboring silica chain (or other structure present in the bulk phase). The structures are shown in Fig. 10. Note that additional hydrogen bond(s) are formed between …N⊕H3⋯H2O and methoxy groups. The calculations in which the DICL⊖ replaces water molecule clearly show that there is hardly a difference between the stabilization energies, being slightly lower than − 80 kcal mol−1, when (MeO)3Si–(CH2)2–Si(OMe)3 and (MeO)3Si–Ar–Si(OMe)3 systems are considered. In addition, the presence of bridges lowers down the stabilization by ca. 20 kcal mol−1, as in the case considered in our previous work the energetic effect is − 103.2 kcal mol−1 (cf. Fig. 8 of the reference (Barczak et al. 2018)). In passing we note, that there is yet another possibility of binding DICL⊖, i.e., via the second oxygen atom of the COO⊖ group. This does not change the conclusions as far as energetics is concerned.
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DICL⊖ interactions with the surface functional groups of the sorbents R2 (a) and R3 (b)
Another important conclusion coming from the desorption studies is that the addition of bridged monomer markedly affects the releasing rate of DICL, particularly in the time interval 0–300 min. In the case of the samples R3 and R4 the releasing profile is close to linear in that range without the so-called burst effect (i.e., initial abrupt releasing of the matrix) which is a very desirable feature of any controlled releasing system (CDS). In the literature there is a lot of reports describing applications of silica as CDSs due to their tailored porosity and surface chemistry (Krajnović et al. 2018; Rosenholm and Lindén 2008; Song et al. 2005; Vallet-Regí et al. 2007). Thus the synthesis approach presented here based on co-condensation of three monomers can be applied for more precise tuning of the releasing profiles of the pharmaceuticals from the silica-based CDSs.
Since reusability of any sorbent is one of the crucial parameters bringing it closer to the practical applications, the regenerated samples were used in two next adsorption/desorption cycles to check whether the SSC values will be significantly reduced. The obtained SSC values after three cycles were slightly lower when compared with initial SSC values for fresh samples (83%, 87%, 90% and 88%, for the samples R1, R2, R3, R4, respectively). Thus all the samples retain over 80% of their initial adsorption capacity, thus they are suitable for multiple usage. The decrease of SSC values is most probably related to the gradual degradation of porosity and surface chemistry of the samples. This decrease is evident in the case of the sample R1, which testifies that the addition of the bridged co-monomer can positively affect adsorption efficiency of the resulting materials, most probably due to the lower degradation rate of the organically modified silicas (Croissant et al. 2017).
It is interesting to compare the sorption data obtained here with other reports describing adsorption of diclofenac. First it should be noted that, as already shown by us, the uptake amount of other drugs (such as ibuprofen, naproxen or penicillin G) are close to that of DICL due to the similar adsorption mechanism (Barczak 2019). Thus results obtained for DICL can be extended to a wider range of pharmaceuticals. The materials obtained here have higher capacitances than majority of the sorbents reported in the literature (cf. Table 3). It is also worthwhile to mention that such high uptakes observed here are due to two complementary mechanisms: H-bonding and electrostatic interactions. The former is responsible for stronger chemical adsorption and the latter for weaker multilayered physisorption.
Comparison of maximum DICL adsorption capacitances from water of some reported adsorbents
Observed SSC (mg g−1)
Jauris et al. (2016)
High surface area graphene
Al-Khateeb et al. (2017)
Reduced graphene oxide aerogel
Hiew et al. (2019)
Commercial activated carbon additionally activated with CO2
Moral-Rodríguez et al. (2019)
Tea waste derived activated carbon
Malhotra et al. (2018)
Microwave-assisted activated carbon from cocoa shell
Saucier et al. (2015)
Oxidized activated carbon
Bhadra et al. (2016)
Magnetic nanoparticles functionalized with poly (styrene-2-acrylamido-2-methyl propanesulfonic acid)
Hayasi and Saadatjoo (2018)
Magnetic amine-functionalized chitosan
Liang et al. (2019)
Zeolite and MOF-type sorbents
UiO-66- metal-organic-frameworks (MOFs) functionalized with amine groups
Zhuang et al. (2019)
MOF decorated with carboxylate groups
Luo et al. (2018)
Spectrogel type C commercial organoclay
Maia et al. (2019)
Natural zeolite modified with cetylpyridinium chloride
Krajišnik et al. (2011)
Amine-functionalized templated organobentonites
Ghemit et al. (2019)
Non-functionalized SBA-15 silica
Bui and Choi (2009)
Bridged mesoporous silicas functionalized with diethylenetriamine groups
In this study, a series of functionalized mesoporous organosilicas was synthesized by co-condensation of three different monomers. Addition of bridged monomer (BTESE, BTESB, BTMSD) significantly influences the porosity, surface chemistry and adsorption efficiency of the final materials. The most marked feature of the BTESB- and BTMSD-modified samples is decreased functionalization efficiency indicated by low nitrogen content. The obtained functionalized mesoporous silicas turned out to be promising sorbents for removal of diclofenac. Observed SSC are in the range 394–842 mg g−1 and mostly depend on the number of amine and silanol groups on silica surface. Apart from specific interactions (hydrogen bonding) between the functionalized surface and the drug anions a considerable part of diclofenac is adsorbed by electrostatic forces on the outer surfaces indicating that there is no unique mechanism responsible for its sorption.
Desorption studies showed that releasing profiles are also affected by the type of bridged monomer used. In the case of benzene bridges (BTESB and BTMSD monomers) there is no burst effect in contrast to the sample synthesized without addition of bridged monomer where as much as 30% of DICL is released in only one minute. This observation makes it possible to use the tailored multi-condensation of different silica precursors as a tool for adjusting controlled desorption properties of the resulting materials.
This research was supported by the Polish National Science Centre under Grant No. DEC-2012/05/D/ST5/03488 titled Synthesis and characterization of modified organosilica sorbents designed for the sorption of biomolecules. The instrumental characterization of the materials was carried out with the equipment purchased thanks to the financial support of the European Regional Development Fund in the framework of the Polish Innovation Economy Operational Program (contract no. POIG.02.01.00-06-024/09 Center of Functional Nanomaterials).
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Authors and Affiliations
Mariusz Barczak1Email authorView author's OrcID profileMałgorzata Gil1Konrad Terpiłowski1Daniel Kamiński1Piotr Borowski11.Faculty of ChemistryMaria Curie-Sklodowska UniversityLublinPoland