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Preparation and characterization of guar gum based biopolymeric hydrogels for controlled release of antihypertensive drug
⁎Corresponding authors. erum.hussain@gmail.com (Erum Akbar Hussain), munawar.iqbal@chem.uol.edu.pk (Munawar Iqbal)
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Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Abstract
Rapid release and poor drug encapsulation ability limit the use of single biopolymer in water-soluble drugs loading, carrying and release efficiency. In the present study, blended hydrogels based on guar gum, sodium alginate and polyvinyl alcohol (GG/SA/PVA) were prepared by solution casting technique and employed for controlled release of verapamil HCl (VP-HCl). The extent of interaction of all blends was explored by Fourier-transform infrared spectroscopy (FTIR) while surface morphology was determined by Atomic force microscope (AFM) and Scanning electron microscope (SEM). The crystallinity, thermal stability and water absorbing capacity of blends were studied by X-ray diffraction (XRD), Differential scanning calorimeter (DSC), thermogravimetric analysis (TGA) and swelling studies respectively. The results revealed improved crystallinity and stability of all the blends. The prepared blends showed promising drug loading and releasing efficiency with higher GG contents for the controlled release of verapamil HCl and at pH 7.4. Optimum drug release (94%) drug release was achieved in 12 h and followed non-Fickian diffusion mechanism. It has been concluded from the results that GG/SA/PVA blends have potential for drug delivery applications in a controlled manner.
Keywords
Guar gum
Hydrogels
Solution casting technique
Anti-hypertensive drug
Controlled drug release
1 Introduction
Hypertension is often accompanied with cardiac disorders and considered as third most life threatening disease (Prasanth et al., 2020). Verapamil hydrochloride is an antihypertensive drug that prevents the entry of calcium in cardiac cells resulting in lowering of blood pressure. The approximate low bioavailability is due to rapid biotransformation in the liver having biological half-life of 4.2 h, thus require increased dosage of drug. Therefore, sustained release of verapamil is required for improved compliance in patient in order to ensure effective therapy. Hydrogels being polymeric networks, have ability to absorb biological fluids and water (Hu et al., 2020a, b; Hu et al., 2017). Therefore, hydrogels have become excellent drug carriers especially for water soluble drugs (Abdullah et al., 2018; Ahmad et al., 2020; Akbari et al., 2020; Nesrinne and Djamel, 2017). Literature review revealed many hydrogels employed in their pristine and modified forms including starch, cellulose, guar gum, chitosan and sodium alginate in biomedical applications (Abbas et al., 2019; Iqbal et al., 2020c). Natural polymers are often preferred owing to low cost, free availability, non-toxic nature and biodegradability over the synthetic polymers. Though, they have few drawbacks that can be controlled by applying some modifications like uncontrolled hydration, viscosity drop and microbial contamination on storing. Blending of biopolymers is one of the smart approach to improve the required characteristics of natural polymers and make them attractive biomaterial for controlled drug release (Abbas et al., 2019; Boukhouya et al., 2018; Iqbal and Khera, 2015; Samarth et al., 2015).
A non-ionic polysaccharide, guar gum (GG), is a promising molecule due to its diverse applications (Iqbal et al., 2020a; Iqbal et al., 2020b; Iqbal et al., 2020c). The (1–4)-linked-d-mannopyranose units were configured at 1 and 6 positions to d-galactose at branch points in GG. It serves as a binder and disintegrating agent in solid while it provides stabilization and thickness in liquid pharmaceutical formulations (Aminabhavi et al., 2014; Sharma et al., 2018). Sodium alginate (SA) is a hydrophilic, non-toxic and biodegradable polysaccharide isolated from brown sea weed in which 1–4 linked α-L-guluronic are alternate to β-D-mannuronic acid residues (Rasool et al., 2020; Thakur et al., 2018). A non-toxic, synthetic polymer polyvinyl alcohol (PVA), has been used in biomedical applications such as in artificial intestines, kidneys and blood vessels (Ailincai et al., 2020).
However, ultrapure biopolymer hydrogels show some drawbacks such as, poor mechanical strength, erodibility at alkaline pH and high hydrophilicity. These shortcomings can be overcome either by cross-linking or interpenetrating networks (IPNs) formation (Dhand et al., 2020; Park et al., 2017). In the large array of drug delivery systems (DDS), blended hydrogels have been emerged as one of the most implied matrices for the controlled release of drugs (Alpaslan et al., 2021; Campos et al., 2021; Mauri et al., 2021; Paradee et al., 2021). In the swollen condition, they resemble living tissue in softness and flexibility thus possess excellent biocompatibility (Ata et al., 2020; Iqbal et al., 2020b; Iqbal et al., 2020c; Nagpal et al., 2013a; Soppirnath and Aminabhavi, 2002). Some work on guar gum and sodium alginate with PVA combination as DDS have been studied for controlled release of different drugs (Grekhnyova et al., 2017; Pallavi and Pallavi, 2017; Rangaraj et al., 2010). To the best of our knowledge, the use of GG/SA/PVA blended hydrogels is the most recent one in the field.
Based on aforementioned facts, present study was designed to prepare a series of blended hydrogels based on, guar gum, sodium alginate and polyvinyl alcohol by solution casting method. The hydrogel blends were studied for drug loading and release efficiencies as a function of pH. The characterization of hydrogels was performed by FTIR, XRD, AFM, SEM, TGA/DSC and swelling properties.
2 Materials and methods
Pharmaceutical grade guar gum (GG), sodium alginate (SA) and polyvinyl alcohol (PVA) were purchased from Sigma Aldrich, Germany. Verapamil Hydrochloride (VP-HCl) was obtained from Searle, Pakistan. All analytical grade chemicals were used in the experiments and solutions preparation was accomplished in deionized water.
2.1 Preparation of hydrogels
The blended hydrogels were prepared by varying the concentration of GG and SA (0: 0.8, 0.2: 0.6, 0.4: 0.4, 0.6: 0.2, 0.8: 0, 0.5: 0.5 w/w) with fixed amount of PVA (0.2 g) by solution-casting technique at 50–60 °C. Both polymers were separately dissolved in deionized water (50 mL). PVA was dissolved in water (20 mL) with continuous stirring at 90 °C until no crystal left behind. After attaining complete solubility, all the solutions were mixed and allowed to react for 3 h. Then, blended hydrogel was poured in petri dish and dried at 40 °C.
2.2 Characterization
Spectro-analytical techniques were used for the confirmation of chemical structures of all the products. Fourier transform infrared (FTIR) spectra were recorded on Fourier Transformation Infrared spectrophotometer (scanning range 650–4000) Agilent Technologies. XRD patterns were measured on D8 Discover diffractometer, Bruker, Germany. Atomic force microscope (Agilent Technologies, 5500, mode; ACAFM, probe; mica sheets, resonance frequency; 298.563 kHz) was used to obtain the micrographs of the sample up to 0.5 µm. SEM micrographs were obtained using the ZEISS scanning electron microscope with the HDBSD detector. Atomic force microscope (Agilent Technologies, 5500, Mode; ACAFM, Probe; Mica sheets, Resonance frequency; 298.563 kHz). UV–Visible spectrophotometer (UV–Vis-730: scanning speed; 10–400 nm/min, wavelength range; 190 to 1100 nm, light source; halogen lamp, deuterium lamp) was employed to record absorbance. The thermal behavior was studied by DSC/TGA, SDT-Q600TA Instrument, USA, from 25 °C to 600 °C at 10 °C /min heating rate (End down).
2.3 Swelling measurements
Completely dried blended hydrogels were weighed and kept in excess of swelling medium; distilled water, pH 1.2 and 7.4, respectively at 37 °C, then the swelled hydrogel was weighed after every 15 min. The swelling percent was calculated as shown in Eq. (1). Where, Ws and Wd are the masses of swollen and dried hydrogels, respectively. The experiments were accomplished in triplicates for each sample and standard deviation was exercised to express error. (George and Abraham, 2007).
2.4 Drug loading and release studies
Drug loading and release activity was performed on blended hydrogel samples. In this method, antihypertensive drug, VP-HCl was loaded in the mass ratio of 3:1 on the prepared hydrogel. A required quantity of VP-HCl was dissolved in small amount of deionized water and loaded on the hydrogel with constant stirring around 40–50 °C for 24 h. The drug loaded samples (GAV-02, GAV-03, GAV-04 and GAV-05) were washed with deionized water and dried in hot air oven for 3 h at 40 °C.
The VP-HCl content in the prepared hydrogel blends was assessed spectrophotometrically. The drug loaded sample (5 mg) was immersed in phosphate buffer (50 mL, pH 7.4) and shaken at room temperature for 24 h on a shaker (100 rpm). Then, the solution was centrifuged for 15 min at 2000 rpm, filtered and rinsed with fresh phosphate buffer. In a quartz cuvette, the amount of VP-HCl in filtrate was quantified by UV–Vis Spectrometer at λmax 278 nm. The experiments were accomplished in triplicates for each sample and standard deviation was exercised to express error. Drug loading (DL) and drug loading efficiency (DLE) were calculated according to Eq. (2). Where, MD is the mass of the drug (mg) in the hydrogel and MHG is the mass of the hydrogel (mg). DLE was measured as depicted in Eq. (3) (Parandhama et al., 2017). Where, HGAL is the actual loading of the drug on hydrogel and HGTL is the theoretical loading.
The drug release responses of hydrogels were performed in phosphate buffer solution (PBS) at pH 1.2 and 7.4 while the physiological temperature was kept at 37 ± 0.5 °C. Prior to release experiments, the dialysis tubes (4 cm each) were plunged in distilled water for 2 h to remove preservatives. All tubes were dipped in the PBS after exhaustive rinsing with water to equilibrate for an hour. Afterward, the dialysis tube was filled with release medium (5 mL) followed by 5 mg of loaded sample of VP-HCl, sealed, shaken and instantly soaked in the release medium (25 mL), at 37 °C. This release medium (3 mL) aliquot was drawn at regular time intervals till 24 h and replaced with the fresh buffer solution. The experiments carried out at pH 1.2 were recorded with 15 min interval for 2.5 h while pH 7.4 was first observed at 30 min and then with 2 h interval respectively for 24 h. The buffer solution having VP-HCl content was measured using UV–Vis spectrophotometer at 278 nm. Three recurring observations were recoded for each sample and concurrent reading was used in calculations. All the drug release experiments were performed three times. Amount of VP-HCl released was calculated as depicted in Eq. (4). Where, DR is the amount of VP-HCL released at a time interval (mg) and DL is the total amount of VP-HCl loaded on the hydrogel (Sekhar et al., 2011).
2.5 Drug release kinetics
Different mathematical models were used to understand the rate and mechanism of drug release from the blended hydrogels. These are as follows:
Zero-order kinetics:
Where Ct is the released amount of drug at time t and C0 is the amount of drug released at t = 0 and K0 is the rate constant for zero-order.
1st order kinetics: where Ct/C0 is the fraction of drug release in time t and K1 is the rate constant for 1st order.
Higuchi equation: where Ct/C0 is the fraction of drug release in time t and Kh is the rate constant for Higuchi equation.
Krosmeyer-Peppas equation: Where Mt/Mα is the fraction of drug release at time t, n is the release exponent and Kkp is the Krosmeyer-Peppas rate constant at time tn which represents the geometric and structural characteristics of the hydrogels. For n = 0.5, the rate of drug release is Fickian and 0.5 < n less than 1, the drug release rate shows the anomalous Non-Fickian transport. If n = 1, the mechanism is case II transport (Paarakh et al., 2018).
3 Results and discussion
The optically clear homogeneous blends of GG/NaAlg/PVA were obtained by solution casting method. All blends revealed significant effect of polymer concentration with respect to crystallinity and water holding capacity supported by results of surface topology. The proposed mechanism (Fig. 1) involves the inter molecular H-bonding between GG and SA where PVA served as a physical crosslinker. It encompasses strong H-bonding between –OH of GG and –COO– ion of SA, –OH of PVA and –COO− of SA, –H of GG and –COO− of SA. The FTIR results completely supported blend formation by showing hydrogen bonding as cohesive forces.Proposed interactions among polymers for the formation of blended hydrogels.
3.1 FTIR studies of blended hydrogels
The FTIR analysis was performed to identify the functional groups (Amer and Awwad, 2021; Awwad and Amer, 2020) and on the basis of frequency shift in FTIR (Fig. 2), the formation of blends based on GG, SA and PVA polymers was fully supported. PVA was kept fixed in order to investigate the effect of varying concentrations of GG. In FTIR spectra, all the samples (GA-01 to GA-05) showed the broad band at 3257–3309 cm−1 which fairly match with pristine polymers 3257–3295 cm−1. The stretching vibration at 2892–2937 cm−1 corresponded to sp3 C-H stretch and the band at 872–879 cm−1 due to mannose units, 1–4 linkage remained unchanged indicating stability of biopolymer during blend formation. The strong absorption bands observed at 1000–1021 cm−1 attributed to C–O stretch of glycosidic linkage. Two prominent bands at 1595 and 1408–1416 cm−1 were attributed to asymmetric and symmetric carboxyl stretch respectively (Table 1) (Kajjari et al., 2012; Seeli et al., 2016). VP-HCl showed significant bands at 1453, 2944 and 1140 cm−1 corresponding to NH, –CH3 and C–O–C stretch respectively. While bands at 1587 and 1513 cm−1 were attributed to the stretching of C⚌C group (Suardi et al., 2016). In drug loaded hydrogel blends all the peaks have been appeared with the slight shifting which shows that the VP-HCl is loaded successfully in the blends (Fig. 3).FTIR Spectra of pristine polymers and blended hydrogels showing functional groups.
Sample code
OH str cm−1
C–H str cm−1
C–O–C str cm−1
1–4 linkage (mann/mann)
COO−Asymm. str cm−1
COO− Symm. str cm−1
GG
3272
2892
1148
760
–
–
SA
3257
2829
1088
–
1565
1423
PVA
3295
2914
1028
–
–
–
GA-01
3265
2892
1021
872
1595
1408
GA-02
3257
2922
1021
879
1595
1416
GA-03
3265
2922
1021
872
1595
1416
GA-04
3309
2937
1021
872
1595
1416
GA-05
3250
2922
1013
879
–
–
FTIR spectra of VP-HCl and drug loaded blends.
3.2 Crystallinity study
The crystallinity was evaluated by XRD analysis (Shammout and Awwad, 2021) of pure polymers and blended hydrogels (GA-03, GA-04 and GA-05) and outcome were shown in Fig. 4. It is evident from the XRD results that GG showed mostly the amorphous region. The SA showed a strong peak at 2θ = 7.79° while PVA showed peaks at 7.97° and 19.58°. The minor shift in 2θ manifested the hydrogen bonding interactions between the GG and SA being rich in –OH groups. PVA also assisted the blend formation by retaining the crystallinity in blends comparable with pure GG and SA. The blended hydrogels showed slight shifting in peaks that were found in the pristine polymers. GA-03 displayed sharp peaks at 8.15° and 29.5° while GA-04 and GA-05 exhibited 8.06°, 29.6° and 8.01° respectively which confirmed the crystallinity of the hydrogels.XRD Spectra of pristine polymers and blended hydrogels.
3.3 Surface analysis
The surface roughness of blended hydrogels was determined by AFM analysis (Table 2), where root mean square (Sq) and arithmetic mean height (Sa) values were taken in account as roughness parameters. The Sq values were estimated to be 15.2, 31.8 and 61.8 nm for GA-03, GA-04 and GA-05 respectively. These higher values are indicative of change in surface topology of blended hydrogels. The cluster in blended hydrogel GA-05 was associated with high Sq and Sa evident from the higher surface deformation as compared to the other hydrogels (Fig. 5c). Lower Sq values observed in GA-03 and GA-04 indicated the smooth surface (Figs. 5a and 5b). It is concluded that the blending of polymers induced roughness in the blended hydrogels. These results are in complete agreement with swelling behavior all hydrogels which demonstrated water retaining ability of blended hydrogels. The maximum swelling capacity of GA-05 has highest agglomeration that is evident of effective polymeric interactions. In GA-01, blends showed hydrophilic behavior and completely dissolved in water. SEM analysis is useful to study surface morphology, size, crystallinity and the positions of phases in the prepared hydrogels. SEM images of all the blended hydrogels showed the overall porous structure (Fig. 6). The SEM results were in accordance with the drug delivery results where porosity of the blends increases the swelling and entrapment of the drug inside the pores.
Sample Codes
Blends Composition GG-SA-PVA(g)
Root Mean square (Sq) (nm)
Max. peak height (Sp) (nm)
Max. Valley depth (Sv) (nm)
Maximum height (Sz) (nm)
Arithmetic mean height (Sa) (nm)
GA-01
0.0:0.8:0.2
GA-02
0.2:0.6:0.2
15.2
58.3
39.5
97.8
12.1
GA-03
0.4:0.4:0.2
31.8
82.5
88
171
26.0
GA-04
0.6:0.2:0.2
GA-05
0.8:0.0:0.2
61.8
167
144
311
50.5
AFM micrographs of blended hydrogels for the sample GA-03 (a) 2.5 µm, (b) 1 µm and (c) 0.75 µm.
AFM micrographs of blended hydrogels for the sample GA-04 (a) 2.5 µm, (b) 1 µm and (c) 0.75 µm.
AFM micrographs of blended hydrogels for the sample GA-05 (a) 2.5 µm, (b) 1 µm and (c) 0.75 µm.
SEM Images of the blended hydrogels GA-03 (a), GA-04 (b) and GA-05 (c).
3.4 Thermal analysis
Thermogravimetry analysis (TGA) demonstrates the effect of temperature on the stability of blended hydrogels. TGA deals with the gradual change in mass of sample with increasing temperature (He et al., 2020; Hu et al., 2018; Hu et al., 2020c). Typical weight losses of the samples along with initial and final degradation temperatures were recorded. Thermo gravimetric analyses of blended hydrogels have been conducted at 25–550 °C. In TGA curves (Fig. 7) of blended hydrogels, the first light peak was due to dehydration followed by a second large plateau observed at 235, 249 and 283 °C was attributed to the degradation of the blended hydrogels of GA-03, GA-04 and GA-05 respectively.TGA Thermograms of blended hydrogels showing the effect of temperature on stability.
The guar gum thermogram curve showed the gradual loss of weight directly proportional to the increase of temperature in the range of 50–110 °C associated to the gradual loss of water. The polymer becomes stable after this temperature range and up to 259.2 °C without any mass change (Table 3). TGA curve of SA showed initially a dehydration step followed by two overlapping peaks at 198 and 587 °C which correspond to the decomposition and sodium carbonate formation. TGA curve of PVA shows a significant endothermic peak at 205 °C. It is evident from the results that blending did not affect the stability of the pristine polymers in the course of hydrogel formation (Bosio et al., 2014). DSC thermograms of the blended hydrogels showed the strong exothermic peaks at 541–543 °C showing crystallinity in the blended hydrogels (Fig. 8). These findings were in accordance with the XRD results of the blended hydrogels.
Sample Code
Onset decomposition temperature (oC)
End set decomposition temperature (oC)
Weight loss (%)
GA-03
235
290
65.7
GA-04
249
313
67
GA-05
283
344
77
DSC Thermograms of Blended Hydrogels.
3.5 Swelling properties
Swelling is an important feature that reflects the water holding capacity and drug release behavior of the polymeric materials. Therefore, in this study, the swelling behavior of blended hydrogels was determined in deionized water and buffer solutions of pH 1.2 and 7.4. It was observed that the sample GA-04 and GA-05 showed the maximum swelling in water (Table 4). Sample GA-04 showed the best swelling which refers to the excellent networking of GG, SA and PVA while in GA-05 guar gum formed firm polymeric network with PVA. Thus, blends have increased hydrophobic character that helps them to retain water. It was observed that the swelling degree of hydrogels was higher in pH 7.4 than that in pH 1.2. The increased swelling of blended hydrogels in pH 7.4 may be attributed to the presence of bulk hydroxyl groups involved in H-bonding with carboxylate anion of SA in the hydrogel networks. In the acidic medium (pH 1.2), carboxylate anions are converted to –COOH groups and resulted in longer intermolecular distances which lower swelling degree of blended hydrogels. The characteristic variation of swelling ratio with pH of external medium illustrates the good pH responsive behavior of the blended hydrogels. These results revealed that blended hydrogels could be used as effective drug delivery carriers that show pH-dependent drug release behavior (Sullad et al., 2010).
Samples
pH Scale
Time (min)
15
30
45
60
75
90
105
GA-02
1.2
835 ± 0.5
835 ± 0.1
837 ± 0.2
838 ± 0.2
840 ± 0.6
842 ± 0.2
842 ± 0.3
7.0
957 ± 0.2
960 ± 0.4
960 ± 0.3
961 ± 0.3
961 ± 0.7
962 ± 0.2
963 ± 0.2
7.4
1002 ± 0.3
1003 ± 0.4
1003 ± 0.1
1004 ± 0.2
1004 ± 0.1
1007 ± 0.5
1007 ± 0.1
GA-03
1.2
929 ± 0.5
930 ± 0.2
938 ± 0.1
939 ± 0.2
946 ± 0.1
946 ± 0.4
948 ± 0.4
7.0
1152 ± 0.3
1159 ± 0.3
1168 ± 0.6
1168 ± 0.5
1168 ± 0.3
1172 ± 0.5
1172 ± 0.2
7.4
1220 ± 0.2
1220 ± 0.3
1221 ± 0.5
1223 ± 0.5
1222 ± 0.2
1224 ± 0.2
1226 ± 0.2
GA-04
1.2
1708 ± 0.2
1709 ± 0.4
1710 ± 0.5
1716 ± 0.3
1718 ± 0.3
1718 ± 0.3
1719 ± 0.3
7.0
1929 ± 0.1
1932 ± 0.4
1936 ± 0.4
1936 ± 0.4
1937 ± 0.0
1941 ± 0.3
1941 ± 0.2
7.4
2006 ± 0.5
2006 ± 0.3
2007 ± 0.0
2007 ± 0.1
2009 ± 0.2
2009 ± 0.2
2010 ± 0.2
GA-05
1.2
1718 ± 0.4
1720 ± 0.3
1720 ± 0.3
1726 ± 0.3
1726 ± 0.1
1728 ± 0.1
1729 ± 0.4
7.0
1940 ± 0.4
1941 ± 0.5
1941 ± 0.5
1944 ± 0.5
1944 ± 0.5
1945 ± 0.5
1945 ± 0.4
7.4
2029 ± 0.2
2035 ± 0.2
2035 ± 0.4
2038 ± 0.1
2040 ± 0.3
2041 ± 0.3
2040 ± 0.3
3.6 Drug load and release efficiency
DL and DLE of the blended hydrogels range from 54 to 61.5% and 72–82% respectively (Table 5), revealed the gradual increase in the drug loading efficiency from GAV-02 to GAV-05. It is due to the increased number of hydrophilic groups which enhanced the intramolecular H-bonding in the blends which help to entrap the drug. GA-01 was not loaded with drug because it was completely dissolved in the swelling medium. The drug release studies have been conducted on the basis of normal pH environment of the gastrointestinal tract (GIT) that changes from pH 1.2 (acidic in the stomach) to 7.4 (alkaline in the intestine). Thus, this prime factor is substantially responsible for controlled release of the drug establishing these blends as pH-sensitive hydrogels. At lower pH, less than 17% VP-HCl released from the blended hydrogels which is much lesser as compared to release at pH 7.4 (94%) up to 12 h (Fig. 9). The change in the release of VP-HCl at two different pH levels is due to the variation in the swelling behavior of the blended hydrogels. The drug being water-soluble released from the blended hydrogels as the water diffuses into the polymeric network. This causes the swelling of the hydrogel and dissolution of the drug in the solution. Consequently, at lower pH it becomes very difficult for the VP-HCl to diffuse out of the hydrogels since the swelling ratio is very small. VP-HCl migrated from the hydrogel network at pH 7.4 due to increased swelling phenomenon, hence prominent release of the drug was observed. According to previous studies, VP-HCl drug release potential was carried out exploiting the grafted copolymer pAAm-g-GG for 3–4 h (Soppirnath and Aminabhavi, 2002). Similar study was performed on super porous hydrogels of acrylamide and sodium alginate, which displayed fast drug release (up to 60%) in 30 min and further sustained until 24 h (Nagpal et al., 2013b). In the present study, the controlled release of VP-HCl was far better than that reported in literature. Hence, these hydrogels are proved to be efficient for drug release in control manner and have potential biomedical applications.
Sample code
DL%
DLE%
GAV-02
54 ± 0.2
72 ± 0.4
GAV-03
57 ± 0.2
76 ± 0.5
GAV-04
60 ± 0.5
80 ± 0.5
GAV-05
61.2 ± 0.3
82 ± 0.3
Drug release profile (%) of blended hydrogels at pH (a) 1.2, (b) 7.4.
3.7 Mechanism of drug release
The model which best fits the data of drug release was investigated by the values of correlation coefficient (r). The values of r nearer to 1 are standard for selection of most suitable model.
It was evident from Table 6 that values of r for zero-order were found to be higher than those of the first order kinetics which revealed that blended hydrogels followed the first order kinetics. Higuchi model indicated the higher degree of correlation coefficient (r) which showed that the mechanism of drug release from the blended hydrogels was diffusion controlled. Furthermore, Krosmeyer-Peppas model described the type of diffusion mechanism for the release of drug. The values of release exponent ‘n’ (Table 7) indicated that the mechanism of drug release was non-Fickian diffusion controlled (Ranjha et al., 2010).
Sample Code
pH
Zero order kinetics
First order kinetics
Higuchi equation
Ko(h−1)
r
K1(h−1)
r
Kh (h −1)
r
GAV-02
1.2
0.283
0.9939
2.049
0.9427
0.07
0.9941
7.4
0.595
0.9915
1.074
0.8567
0.59
0.9914
GAV-03
1.2
0.263
0.9937
1.969
0.9330
0.07
0.9938
7.4
0.656
0.9932
0.699
0.8697
0.59
0.9931
GAV-04
1.2
0.240
0.9928
2.002
0.9178
0.07
0.9927
7.4
0.770
0.9928
0.339
0.8479
0.59
0.9928
GAV-05
1.2
0.327
0.9899
1.699
0.8919
0.08
0.9897
7.4
0.868
0.9902
0.173
0.8248
0.70
0.9902
Sample code
pH
Kkp (h−1)
Release exponent (n)
r
Order of Release
GAV-02
1.2
0.075
0.7088
0.9816
Non-Fickian
7.4
0.178
0.9729
0.8369
Non-Fickian
GAV-03
1.2
0.082
0.7234
0.9873
Non-Fickian
7.4
0.196
0.718
0.9201
Non-Fickian
GAV-04
1.2
0.075
0.8409
0.9758
Non-Fickian
7.4
0.196
0.9644
0.7921
Non-Fickian
GAV-05
1.2
0.097
0.6943
0.9423
Non-Fickian
7.4
0.337
0.5317
0.9403
Non-Fickian
4 Conclusion
Guar gum based biodegradable hydrogels have been successfully prepared and employed as pH responsive drug delivery system. All the blends are thermally stable and showed the controlled release of the antihypertensive drug (94%) upto 12 h at pH 7.4 and follow non-Fickian diffusion controlled mechanism. The release of verapamil hydrochloride is much better in magnitude as compared to already reported hydrogels. It has been concluded that prepared hydrogels can be employed for biomedical applications.
CRediT authorship contribution statement
Hina Daud: Methodology, Investigation, Software, Writing - Original draft preparation. Ambreen Ghani: Supervision, Conceptualization. Dure Najaf Iqbal: Data curation, Analysis. Nasir Ahmad: Data curation, Analysis. Saliha Nazir: Methodology, Investigation, Software, Writing - Original draft preparation. Mahnoor Jan Muhammad: Visualization. Erum Akbar Hussain: Supervision, Conceptualization. Arif Nazir: Software, Validation, Writing - review & editing. Munawar Iqbal: Software, Validation, Writing - review & editing.
Acknowledgements
Authors acknowledge the facilities provided by Central Research Laboratories, Lahore College for Women University, Lahore, Pakistan.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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