Qi Liana,
Han Liua,
Xuefang Zheng*ab,
Dandan Jiaa,
Chun Liua and
Dongjun Wangac
aCollege of Chemical Engineering, Hebei Normal University of Science and Technology, No. 360, West Section of Hebei Street, Qinhuangdao 066004, P. R. China. E-mail: xuefang-zheng@163.com; Tel: +86-1507609704
bSchool of Chemical Engineering and Technology, Hebei University of Technology, Tianjin 300130, P. R. China
cAnalysis and Testing Center, Hebei Normal University of Science and Technology, No. 360, West Section of Hebei Street, Qinhuangdao 066004, P. R. China
First published on 21st April 2020
A novel controlled drug release system based on pH sensitive polyacrylonitrile (PAN) nanoflowers in different kinds of solvents was successfully prepared with azobisisobutyronitrile (AIBN) as the initiator and without any emulsifier or stabilizer by a one step static polymerization method. The composition and structure of the PAN nanoflowers were analyzed by FTIR, XRD, SEM, TEM, and laser particle size analysis. The polymer particles consisted of a number of lamellae, with a sheet thickness of about 10 nm, and were similar to the shape of flowers with a particle diameter of about 350 nm. The mechanism of the polymerization reaction and the formation were studied. Moreover, the effects of monomer ratio, initiator concentration, reaction time, dispersion medium and co-monomer on the morphology and particle size of the nanoflowers were also discussed. A relatively large specific surface area was formed during the formation of the nanoflowers, which favored drug adsorption. The results of the in vitro experiments revealed that PAN(TBP) nanoflowers, containing BSA in buffer solution of pH 7.4, demonstrated good sustained-release and the cumulative release rate was about 83% after 260 h. The results also showed that the sustained-release from the PAN(TBP) nanoflowers best fitted the Riger-Peppas model. This study indicated that PAN(TBP) nanoflowers provided a theoretical base for the development of carriers for sustainable drug-release.
Responsive drug delivery systems have become topical in today's drug delivery technology. In the variety of response release systems, pH response systems have attracted a lot of attention.9–13 Recently, more and more attention has been paid to the oral colon-specific drug delivery system (OCDDS), which can improve bioavailability and reduce the side effects of drugs. Drugs can be sent to the lesion site, in order to increase the drug targeted therapy. So far, pH-sensitive systems have many different dosage forms, such as sustained release tablets,14 micelles,15 microparticles16,17 and nanoparticles.18–20 Because of the large surface area and the high drug loading rate, the nanoparticles are one of the prospective dosage forms.
Nanoparticles have many advantages, including oral convenience, predictable and reproducible transport times in gastrointestinal tract (GIT), less food effects, less local irritation and side effects, stable drug absorption and so on.21–24 Previous studies have shown that nanoparticles with a particle size of 10–300 μm exhibit good targeting properties in oral administration of GIT inflammation sites. Thus, nanoparticles have been demonstrated to be a promising targeted drug delivery system for the treatment of UC.
However, the larger the particle sizes of the nanoparticles, the smaller the specific surface area, which resulted in a decrease in the drug loading rate. When the size of the nanoparticles is too small, the nanoparticles are easy to aggregate and affected the normal transport in GIT. Therefore, it has become important to develop drug carriers with large drug loading and does not aggregate.
In this work, a new kind of carrier with polyacrylonitrile (PAN) nanoflowers in different kinds of solvents was successfully prepared with azobisisobutyronitrile (AIBN) as the initiator and without any emulsifier or stabilizer with static polymerization by one step method. PAN nanoflowers, with the size of 300–500 nm, are dispersed uniformly and not reunion. The specific surface area and the drug loading rate are larger than that of nanoparticles. This phenomenon can be explained by that between the petals of the PAN nanoflowers can load more drug molecules, resulting in the increase of the drug loading amount. What is more, the size of the PAN nanoflowers is smaller than that of nanoparticles with a particle size of 10–300 μm, which makes the PAN nanoflowers easier to transport in the gastrointestinal tract. Thus, the PAN nanoflowers are expected to be the carrier material for drug release.
Based on the above study, PAN nanoflowers combine pH-sensitivity for targeting the inflamed tissue in colon could be promising method for UC treatment. A novel controlled drug release system based on pH sensitive is developed with the PAN nanoflowers as drug carrier and bovine serum albumin (BSA) as model drug. PAN nanoflowers loaded with BSA can transport the drug to release at targeting site of colon, which was because that there are a lot of hydrogen bonds between pH sensitive nanoflowers and drug molecules. When administered orally, pH sensitive nanoflowers can protect against premature release of the drug in the stomach payload. After the drug is transferred to the colonic site, the pH sensitive nanoflowers will expand in a higher pH environment, and the pores and petals will become larger, leading to rapid drug release (Scheme 1). Thus, pH-sensitive nanoflowers can be used as drug carrier for the treatment of UC to prevent premature absorption of the drug and to reduce systemic toxicity.
Scheme 1 The schematic preparation of new kind of pH-sensitive PAN nanoflowers and its potential application for UC therapy. |
To confirm the crystallinity of PAN, the sample was characterized by XRD measurement. Fig. 1B showed the spectra of PAN nanoflowers (XRD). The crystalline peaks (2θ) at 16.7° and 29.3° were attributed to PAN, which are typical fingerprint for PAN and very similar to the work of Han, Tang, and Lior.25 The crystallinity of the PAN nanoflowers was calculated to be 45% by the integration of XRD peak shapes, which was higher than that obtained by other methods.26
Scanning electron microscope (SEM) and transmission electron microscope (TEM) were employed to characterize the morphology of as-prepared sample under the static condition (Fig. 1C and D). It is clearly revealed that all the PAN nanoflowers are fairly uniform in size and shape. The surface of the prepared polymer particles was irregular and like peony flowers, which consisted of a number of lamellar structures. The thickness of lamellae is about 10 nm. This phenomenon can be explained from the microstructure model of PAN. The cyano group and the alpha-hydrogen atom in the PAN molecular chains could form hydrogen bonds which could attract each other. Due to the hydrogen bonds, the PAN molecular chains could be arranged in a neat sheet structure. After reached the critical chain length, the molecular chains would be precipitated out of the dispersion medium in the form of lamellar crystals, which would be gathered to form the polymer particles. Then polymer particles were grown in main two ways. Firstly, the lamellar crystals which were precipitated from a dispersion medium were deposited on the surface of polymer particles and grown slowly, resulting in an increasing number of layered crystals. As can be seen from Fig. 1D, the color of the polymer particles in the middle is dark than the outer, which could be explained by that the concentration of the lamellae was bigger than that of outer. And the outer color is lighter which indicated that the new precipitated lamellae were deposited in the gap between the lamellae, leading to the low layered crystals concentration and the lighter color of the edge. Secondly, oligomers and monomers in the dispersion medium were continued to precipitate onto the lamellar crystals, increasing the size of the crystallites and the polymer particles.
No. | Reaction time (h) | d(−) (nm) | Polydispersity index (%) |
---|---|---|---|
1 | 0.5 | 232.3 | 0.24 |
2 | 1 | 295.5 | 0.23 |
3 | 2 | 328.6 | 0.25 |
4 | 4 | 430.3 | 0.26 |
5 | 6 | 498.6 | 0.29 |
6 | 8 | 513.2 | 0.31 |
7 | 10 | 560.3 | 0.34 |
8 | 12 | 590.8 | 0.35 |
9 | 14 | 612.7 | 0.40 |
As can be seen from Table 1, with the time increasing, the size of the PAN nanoflowers increased gradually. It can be seen from the polydispersity index (PDI) that the PDI value of the PAN nanoflowers was smaller (which was monodisperse, PDI: 0.23–0.24). And with the time continues to increase, the PDI value was increased even if the ultrasonic dispersion time was prolonged before the test, which would not be reduced, that was, after 2 h, the monodispersity of the polymer particles was getting worse (PDI: 0.26–0.40).
TEM was used to track the morphology of the nanoflowers at different reaction stage (Fig. 3). The results were consistent with those of the laser particle size analyzer. With time increasing, the size of the nanoflowers increased and the dispersity was getting worse. In the initial stage of the reaction (the reaction time was less than 2 h), the nanoflowers were dispersed evenly and the morphology was showed as flower-shaped (Fig. 3A–C). However, when the reaction time was 4 h, several different morphological particles began to appear in the system. This phenomenon can be explained by that as time increased, different types of seed crystals were formed in the system. When the reaction time is 4 h, there were two different morphologies in the system (Fig. 3D). Moreover, with the increase of reaction time, there are three kinds of morphologies at 6–8 h (Fig. 3E and F), and the morphology was more irregular from 10 h to 14 h (Fig. 3G–I), and the crystals formed changes obviously (300–600 nm).
Fig. 3 TEM images of samples prepared by varying the reaction time of PAN: (A) 0.5 h, (B) 1 h, (C) 2 h, (D) 4 h, (E) 6 h, (F) 8 h, (G) 10 h, (H) 12 h, (I) 14 h. |
It can be seen from Fig. S1,† in the initial stage (less than 2 h), the system followed the mechanism of dispersion polymerization and the shape and sizes of the nanoflowers were uniform and monodisperse. After 2 h, the polymerization rate was not reduced significantly. On the one hand, as time grown, the PAN nanoflowers continued to grow; on the other hand, the morphology of the nanoflowers was changed by the internal rearrangement of PAN nanoparticles.
As can be seen from Table 2, when the initiator AIBN: AN (mg ml−1) is between 1:2 and 2:1, the nanoflowers exhibited good dispersity, which was confirmed by particle size distribution (Fig. 4) measured by the laser particle size analyzer (particle size distribution was a single peak). With the increase of the initiator concentration, the size of the nanoflowers increased. When the concentration of AIBN: AN (mg ml−1) was less than 1:2, or more than 2:1, the monodispersity of the nanoflowers was remarkably reduced and the polydispersity index value was increased significantly.
Samples | AIBN:AN (mg ml−1) | d(−) (nm) | Polydispersity index (%) |
---|---|---|---|
1 | 1:3 | 185.4 | 0.36 |
2 | 1:2 | 246.4 | 0.27 |
3 | 1:1 | 326.4 | 0.25 |
4 | 2:1 | 387.0 | 0.28 |
5 | 3:1 | 452.4 | 0.30 |
6 | 4:1 | 586.2 | 0.33 |
Initiator AIBN played a key role in the formation of polymers, which was contributed to form the free radicals. When the AIBN concentration increased, the production rate of free radicals and the concentration of the oligomer free radicals increased, which would increase the number of PAN molecular chains and cores. As a result, more and more oligomers were precipitated on the core particles to form larger particles, so that the particle size distribution was widened. However, when the initiator concentration was too low, precipitation rate of the polymer chain was also reduced, which would greatly extend the nucleation period, leading to wide particle size distribution of the polymer.
Fig. 5 TEM photomicrographs of PAN nanoparticles in different reaction medium. (A) Methyl acetate, (B) ethyl acetate, (C) butyl acetate, (D) isoamyl acetate. |
Fig. 5 showed that the lamellae of the polymer surface were becoming increasingly blurred, with the increase in the boiling point of the dispersion medium. The lamellae of the nanoflowers (obtained in methyl acetate, in Fig. 5A) were very clear, like a chrysanthemum. When the butyl acetate was used as the dispersion medium (Fig. 5C), the nanoflowers had no obvious stratification. Finally, with isoamyl acetate (Fig. 5D) as the dispersion medium, the nanoflowers had become more regular black balls, the edge was blurred.
This phenomenon could be explained by that the boiling point of butyl acetate and isoamyl acetate was higher than the glass transition temperature of the PAN. The glass transition temperature was the lowest temperature of the motion of the polymer segments. When the reaction temperature was above the glass transition temperature, the molecules in the polymer were rearranged. And the ordered regions induced the crystallization of the amorphous region, and then the ordered regions themselves were further growth and improvement, the molecular arrangement was more regular, resulting in the size of nanoflowers reduced.
The XRD results (Fig. S2†) showed that, with the increase of the boiling point of the dispersion medium, the characteristic peak intensity of PAN nanoflowers increased (a: 2000, b: 6500, c: 10000, d: 10500). More precisely, the crystallinity of the nanoflowers increased, confirming the above speculation.
No. | Styrene (wt%) | d(−) (nm) | Polydispersity index (%) |
---|---|---|---|
a Conditions: the volume of AN was 10 ml (containing AIBN 10 mg), the volume of TBP was 30 ml, AN: TBP = 1:3. | |||
1 | 0.25 | 200.4 | 0.24 |
2 | 1.0 | 327.5 | 0.21 |
3 | 1.5 | 387.6 | 0.20 |
4 | 2.0 | 463.9 | 0.23 |
5 | 2.5 | 493.6 | 0.24 |
With increasing the amount of styrene, the length of critical chain of polymer increased, resulting in the decrease in the rate of precipitation of polymer chains. Therefore, the number of cores in the system was reduced, and the size of the nanoflowers was relatively large, which made the size distribution of nanoflowers narrow, as demonstrated in the PDI values shown in Table 3.
The degree of crystallinity depended on the amount of styrene (Fig. S3†). The diffraction peaks at 16.7° and 29.3° were the characteristic peaks of PAN. With increasing the concentration of styrene, the position of the diffraction peaks was not changed, indicating that styrene did not change the crystal form of the polymer PAN. However, with increasing amount of styrene, the degree of crystallinity decreased (intensity of PAN was reduced from 40000 to 10000). It was due to that, after addition of styrene, the ordering degree of the cyano groups was reduced and the length of the continuous AN sequence unit was destroyed, resulting in a decrease in the crystallinity of PAN.
Interestingly, it was found that the morphology of the particle was easily tuned by adding different concentration of styrene. Fig. 6 showed the TEM images and the corresponding particle size distribution histogram of the samples prepared by changing the concentration of styrene. When adding a small amount of styrene (0.25 wt%), the particles surface of the layers had been less obvious (only slightly protruding) with the average size of 210 nm (Fig. 6A and D). However, the distribution of the particles was very good, which was consistent with the results of laser particle size analyzer analysis. As the amount of styrene increases, the surface of the particles became smoother and became a regular spherical structure, which was similar to that of the study by Katharina Landfester.26 However, in the study of Katharina Landfester, addition of styrene did not have such a significant effect on the morphology of PAN particles, and a regular spherical structure was formed, until the styrene content reached 50 wt%. In this work, the addition of a very small amount of styrene polymer particles could change greatly. When the concentration of styrene was 1.0 wt%, the particles showed the perfect smooth spheres with the average size of 320 nm (Fig. 6B and E). But the content of styrene increased to a certain extent (2.0 wt%), and the final formed polymer particles would adhere to each other, and the average particle size was increased to 412 nm with well-defined smooth particle surface (Fig. 6C and F).
Fig. 6 TEM photomicrographs of PAN nanoparticles at different styrene concentrations. (A) 0.25 wt%, (B) 1.0 wt%, (C) 2.0 wt%, ((D)–(F) the particle size of the (A)–(C)). |
The FTIR spectra of PAN and P(AN-St) samples were shown in Fig. S4.† A strong peak at 2234 cm−1 corresponded to the –CN bending. It should be also noted that the peak at 2234 cm−1 became weaken gradually and new peaks at around 1453 cm−1, 1494 cm−1 and 1602 cm−1 for P(AN-St) were recorded, revealing the change of the benzene ring in styrene. The peaks at 699 cm−1 (Out-of-plane bending absorption peak of Ar–H) and 760 cm−1 (C–H outside bending absorption peak) were observed, indicating the copolymerization between AN and St.
Fig. 7 (A) Swelling behavior of nanoflowers PAN(TBP), PAN(MA), PAN(EA), P(AN-St). (B) Swelling behavior of PAN(TBP) in different pH conditions at 37 °C (mean ± SD, n = 3). |
Fig. 8A showed the effect of drug molecules on the drug loading (formula (2), ESI†) of PAN(TBP), PAN(MA), PAN(EA), and P(AN-St). As can be seen from Fig. 8A, the adsorption capacity of nanoparticles PAN(TBP), PAN(MA), PAN(EA), and P(AN-St) for BSA was 82 mg g−1, 64 mg g−1, 43 mg g−1, and 32 mg g−1, respectively. The adsorption capacity of PAN(TBP) for BSA was much higher than that of PAN(MA), PAN(EA), and P(AN-St). It was because that PAN(TBP) with a lot of lamellae was easily to absorb BSA molecules, and BSA could enter the interior of PAN(TBP), resulting in increasing of the drug loading amount. However, the surface structure of the P(AN-St) was smooth, resulting in the reducing of the drug loading amount greatly (32 mg g−1).
Fig. 8B displayed the effect of different pH values (1.0, 6.8, 7.4) on BSA loading of nanoparticles. The drug loading amount for BSA of PAN(TBP) (in pH 1.0, 6.8, 7.4) was 82 mg g−1, 58 mg g−1, and 24 mg g−1, respectively. The drug loading amount increased rapidly with the decreasing of the pH values, and the drug loading amount reached maximum (about 82 mg g−1) in pH 1.0. This phenomenon can be explained by that the electrostatic force was very strong between the –CN of PAN(TBP) and the BSA with a lot of –NH2 and –COOH. In pH 1.0 medium, there formed plenty of hydrogen bonds, because of the highly protonated amine of BSA in acidic medium, resulting in high binding capacity of BSA to PAN(TBP). However, in neutral or alkaline buffer solution, the electrostatic force was weak with the low degree of protonated of the amine BSA, so that the binding capacity was decreased with the increase of the pH value. Fig. 8C and D showed the SEM and TEM images of the PAN(TBP) drug loading of BSA.
The zeta potential of PAN nanoparticles was investigated. As can be seen from Fig. S5,† the green areas(±40 mV) represent the stable area for the PAN nanoparticles, and the red areas represent the unstable area. PAN(TBP) nanoparticles showed higher stability than other nanoparticles at pH 1–3 and pH 6–10.
Fig. S6† showed the destruction of BSA(formula (3), ESI†) by the protease in mimicking stomach acidic fluids. After release 2 hours, the drug release rate of PAN nanoparticles (PAN(TBP), PAN(MA), PAN(EA), PAN(AN-St)) was 5.5%, 7.6%, 10.2%, and 16.8%, respectively. The drug release rate of PAN(TBP) was lower than other PAN nanoparticles, this phenomenon could be explained that at pH 1.0, BSA became protonated, forming the hydrophilic –NH3+ groups. The electrostatic force was formed between –NH3+ groups in BSA and –CN of PAN(TBP), and BSA was tightly bound by the electrostatic forces in PAN(TBP), resulting in the low dug release. Because the amount of BSA loss in the mimicking stomach acidic fluids, the concentration of BSA broken by protease could be neglected in subsequent experiments.
In order to investigate the effect of pH of the external medium on the drug release behavior (Fig. 9), cumulative release amount (formula (4), ESI†) of BSA in buffer solution with pH 1.0, 6.8, and 7.4 was measured.
Fig. 9 pH sensitive drug release behavior of (A) PAN(TBP), (B) PAN(MA), (C) PAN(EA), (D) P(AN-St) in different pH conditions at 37 °C. Data points represent mean ± SD (n = 3). |
Cumulative drug release for BSA was investigated in Fig. 9, which showed that, with the increasing the pH value from 1.0 to 7.4, the drug release of all PAN nanoparticles was increased obviously. It was indicated that the drug release profiles of PAN were pH-sensitive.
As can be seen from Fig. 9A, in pH 7.4 medium, the cumulative drug release of PAN(TBP) was 25% in the first five hours, and the total drug release was reached 83% in 260 hours. However, in the buffer solution (pH 6.8 and 1.0), the cumulative drug release were 61% and 38%, respectively. This phenomenon can be explained as follows: at pH 1.0, BSA became protonated, forming the hydrophilic –NH3+ groups. The electrostatic force was formed between –NH3+ groups in BSA and –CN of PAN(TBP), and BSA was tightly bound by the electrostatic forces in PAN(TBP), resulting in the low dug release (t9.6% = 5 h, t38% = 260 h). With the increase of pH value, the degree of amine protonated of BSA reduced gradually, resulting in the electrostatic force weakens between amine protonated of BSA and PAN nanoparticles. Then the plenty of BSA molecules could be released from the inside of the PAN(TBP) easily. The drug release ratio was increased obviously. The PAN(TBP) showed pH sensitivity with drug release in different buffer solution.
As for PAN(MA), PAN(EA), P(AN-St), as can be seen from Fig. 9B–D, in the first five hours (in the buffer solution with pH 7.4), the cumulative drug release ratio was t38.1% = 5 h, t52.2% = 5 h, and t63.4% = 5 h, respectively. The cumulative drug release ratio of PAN(MA), PAN(EA), and P(AN-St) was much larger than that of PAN(TBP). This phenomenon can be explained by that the three-dimensional structure of nanoparticles of PAN(TBP), PAN(MA), PAN(EA), and P(AN-St), were different obviously. The surface of nanoparticles P(AN-St) was relatively smooth, and the BSA molecule was absorbed to the surface of the P(AN-St). Therefore, the cumulative release ratio exhibited a significant drug burst in the initial stage (t63.4% = 5 h, in pH 7.4), and the total cumulative release ratio was 90%. As for PAN(MA) and PAN(EA), there was much lamellar on the surface, but which was less than that of PAN(TBP), resulting in that the drug release ratio (t38.1% = 5 h, t52.2% = 5 h, t63.4% = 5 h) in the first five hours which was larger than that of PAN(TBP) (t9.6% = 5 h). As for PAN(TBP), BSA was not only absorbed on the surface of the lamellar, but also absorbed inside of the petals, which may not get access to the long time diffusion of the aqueous medium. Thus, in the drug release stage, the release of BSA slowed down with the controlled release behavior. It was because that BSA was bundled in the deeper petals. Therefore, the release of BSA slowed down in the following time period. The craft copolymerization molecular imprinting polymer chitosan-g-poly (methylmethacrylate) (MIP-CS-g-PMMA) exhibited also time delay of release manner.24
The TEM image of PAN nanoflowers after release was investigated in Fig. S7.† As can be seen from Fig. S7,† the morphology of the PAN nanoflowers after release BSA was similar to that of blank PAN nanoflowers (Fig. 1D).
Fig. 10 Model fitting of drug release behavior in PAN(TBP) nanoflowers: (A) zero-order release model, (B) first-order release model, (C) Higuchi model, and (D) Riger-Peppas model. |
As can be seen from Fig. 10A–C, the model fitting of (a), (b), and (c) was not fitted very well, which indicated the drug release behavior was not followed by the mathematical models of (a), (b), and (c). As can be seen from Fig. 10D (the model fitting of Riger-Peppas model (d)), the goodness of fit (R2) in pH 1.0, 6.8, 7.4 was 0.9626, 0.9908 and 0.9909, respectively. The goodness of fit was highest (R2 = 0.9909) in buffer solution of pH 7.4, which was based on the high degree of similarity between the PAN(TBP) nanoflowers and the framework-type drug carriers, the PAN(TBP) nanoflowers can be roughly determined to release the BSA in the Riger-Peppas model in pH 7.4. Therefore, the optimal linear fitting for drug release was Riger-Peppas model.
Footnote |
† Electronic supplementary information (ESI) available: Characterizations details, adsorption experiments, and in vitro controlled release of BSA, Fig. S1–S4. See DOI: 10.1039/d0ra01427c |
This journal is © The Royal Society of Chemistry 2020 |