Characterization
FTIR analysis
Figure 2 depicts the FTIR spectra of Fe3O4 nanoparticles, Fe3O4@SiO2 core-shell, Fe3O4@SiO2-NH2, RAFT agent, β-CD, vinylated β-CD, and magnetic nanocomposite drug carrier. The appeared peak at 602 cm-1 in the FTIR pattern of Fe3O4 nanoparticles (Figure 2-a) can be attributed to the stretching vibration of Fe-O bonds (BabuL & Rami Reddy, 2020). The FTIR spectra of Fe3O4@SiO2 (Figure 2-b) depicts a new characteristic peak at 1036 cm-1 which be assigned to the Si-O-Si asymmetric stretching vibration mode (Poor Heravi et al., 2022). A new peak shown at 2975 cm-1 in the FTIR spectra of Fe3O4@SiO2-NH2 (Figure 2-c) is related to –CH2- group of aminopropyl of APTES reagent. Of course, it should be also noted that the characteristic peak of –NH stretching vibration was overlapped with the broad peak of –OH functional groups.
The FTIR spectrum of the RAFT agent demonstrated the bands of C–H, C=O, C=S, and C–S at 2959, 1698, 1058, and 871 cm−1, respectively (Figure 2-d). In the FTIR spectra of β-CD (Figure 2-e), the characteristic peaks are observed at 897, 1082 and 1172 cm-1 which can be attributed to the 1,4-bond skeleton vibration, anti-symmetric glycosidic (C-O-C) and coupled (C-C/C-O) stretch vibrations of β-CD (Abarca et al., 2016). In the carboxylate β-CD (Figure 2-f), two new adsorption peaks at 1571 and 1733 cm-1 are assigned to the –COOH groups. Moreover, vinylated β-CD demonstrates a peak at1229 cm-1 that can be related to the -C=C- vinylic bands. The successful reaction between products A and B was confirmed by the new band in the FTIR spectra of D at 1676, which correspond to C=O stretching vibration of –CONH2 functional groups (Figure 2-g). In the spectra of the final nanocarrier (Product E), we observed most of the characteristic peaks of the synthesized components including β-CD, Fe3O4@SiO2-NH2 and RAFT agent (Figure 2-h) with a small shift, which prove successful reacting of vinylated β-CD (Product C) with Fe3O4@SiO2-NHCO-RAFT agent (Product D).
XRD analysis
The crystalline structure of the samples, i.e. β-CD, Fe3O4, Fe3O4@SiO2 and nanocarrier were characterized by X-ray diffraction (XRD) spectra (Figure 3). As clearly seen from the Figure 3(a), the main peak of rare β-CD shows
a specific peak at 2θ = 9.7°. The XRD pattern of Fe3O4 nanoparticles (Figure 3-b) shows diffraction peaks at at 2θ = 30.43°, 34.91°, 44.1°, 56.77° and 62.21° which are related to the (220), (311), (400), (511) and (440), respectively (Zhou et al., 2010). Moreover, the XRD spectra of the Fe3O4@SiO2 (Figure 3-c) indicated that the characteristic peaks of Fe3O4 nanoparticles remained unchanged. This result indicates that the crystalline structure of Fe3O4 nanoparticles has been preserved during the core-shell formation. However, in the XRD curve of nanocarrier (Figure 3-d), the relatively amorphous structure of the nanocomposite is observed, which is due to the growth of polymer on the surface of nanocomposite and change the crystalline structure of the β-CD.
VSM analysis
The magnetic properties of β-CD, Fe3O4 and Fe3O4@SiO2 and drug nanocarrier were studied by VSM analysis method (Figure 4). According to the figure, the magnetization saturation values were measured to be 61, 32, 19 and 0.4 emu.g-1 for Fe3O4 nanoparticles, Fe3O4@SiO2, nanocarrier and β-CD, respectively. This magnetic property of the prepared nanocarriers, however was tested by applying a magnet near the nanocarrier sample, which confirms the acceptable separation capability of product after each adsorption process. This behavior is due to the presence of Fe3O4 nanoparticles within the structure of nanocarriers. It should be also noted that the β-CD has no magnetic behavior and the magnetic value of Fe3O4@SiO2 sample is low due to the presence of non-magnetic SiO2 nanoparticles on the surface of Fe3O4 nanoparticles.
Morphological analysis
The morphology of the samples β-CD and nanocarrier is investigated by SEM and TEM microscopic methods. The SEM images are illustrated in Figure 5. The SEM micrograph of β-CD shows a flat, rigid and rough surface of the monomer with various groups of on β-CD substrate. Furthermore, the SEM micrograph of nanocarrier reveals that the presence of Fe3O4 nanoparticles within the network of the nanocarrier structure. On the other words, this SEM image depicted the strong interactions between the Fe3O4 nanoparticles and various functional groups of β-CD due to the distribution of nanoparticles in the surface of product.
Figure 6 displays TEM photographs of Fe3O4 nanoparticles and nanocarrier samples. The TEM images of Fe3O4 nanoparticles showed that the nanoparticles have mean diameter of 15–30 nm. It is also evident from the TEM images of nanocarrier that the Fe3O4 nanoparticles in the nanocarrier with some aggregates were randomly diffused in the structure especially on β-CD backbones. Moreover, the size of most incorporated Fe3O4 molecules were approximately observed between 10 upto 20 nm. Similar morphologies have also been reported for magnetic β-CD-based nanocomposites by other researchers (Shirke et al., 2022; Wang et al., 2022; Bosu et al., 2022).
Drug loading studies
In the drug delivery systems, the drug loading capacity is a very important practical factor. Firstly, we used the UV-Vis, SEM and TEM techniques to confirm the acceptable drug loading in the synthesized nanocarrier. As seen from Figure 7, the UV-Vis spectra of pure DOX drug was depicted two main adsorption peaks at 241 and 287 nm. These peaks can be attributed to the n→π* and π→π* transitions, respectively. In the UV-Vis spectra of the DOX-loaded nano-carrier, however the intensities of the absorption wavelength of the drug were greatly decreased due to the loading of DOX within the structure of the carrier. Figure 8 shows the SEM and TEM images of the nanocarrier before and after drug loading. As seen, the drug carrier has a large number of pores and holes, which are naturally suitable places for absorbing DOX molecules. As it is also clear from the figure, these empty available spaces are mostly occupied by drug molecules after the adsorption process. Moreover, this issue is proven by TEM analysis method. The TEM images in Figure 8 demonstrated that after drug loading process, the core-shell Fe3O4@SiO2 nanoparticles were agglomerated and the particle size of the nanoparticles was also increased.
After these preliminary drug loading investigations, we studied the effect of important and influential factors on the drug loading capacities, which will show the obtained results in the following sections.
In this series of experiments, the effect of DOX concentration, β-CD content, and temperature on the LE% was investigated and the results shown in Figure 9. As clearly seen from Figure 9(a), the LE% of drug DOX was increased with the increase of drug concentration due to the more drug accessibility nearby the nanocarrier molecules.
The LE% of drug in nanorarriers was also significantly affected by the β-CD content. According to Figure 9(b), with increasing the content of the β-CD, the amount of loaded DOX is linearly increased by an increase in amount of the β-CD due to increasing of adsorbing and reacting functional groups attached on the surface of the monomer. For further study of this issue, we also compared the LE% of the nanocarrier with the net β-CD (Figure 9(c)). As it can be seen, the β-CD alone is able to absorb a good amount of DOX in comparison with the main nanocarrier, and this depicts the main role of β-CD in adsorbing drug molecules.
The effect of drug solution temperature on LE% of DOX was also studied and the obtained results were summarized in Figure 9(d). It was observed that due to providing the required kinetic energy of the drug molecules, the amount of loading increases with temperature increasing. However, higher increasing the temperature leads to a decrease in the amount of DOX loading, which the main reason of this result is the release of some loaded drug molecules.
Drug releasing studies
Effect of pH on drug releasing
According to Figure 10(a), the percentage of DOX drug release (DR%) in acidic environment (pH=5.8), which is actually the simulated environment of cancer cells, is much more than the basic environment (pH=7.4). Two main reasons for this observation can be mentioned: Firstly, the hydrophilicity of the drug increases in acidic environment, and secondly, the attractive interactions between the drug and the nanocarrier are broken faster and more in acidic conditions, and as a result, the amount of DOX drug release increases. It should be noted that the initial burst DOX release in both pH solutions is due to the un-complexed and weakly loaded DOX molecules on the surface of nanocarrier. This novel nanocarriers, therefore, has the ability for a pH-controlled and targeted drug release. Hence, by activating the drug in the acidic environment of cancerous cells, the targeting mechanism lessens the drug’s toxic impacts on healthy cells.
In vitro cellular cytotoxicity assay
In this section, we used MTT assay test for investigation of the anticancer activity of the synthesized nanocarrier. The procedure of the MTT assay technique was similar to previous published papers (Ojagh et al., 2021; Rasouli et al., 2013). The in vitro cell viability of the K562 cancer cells after 48 h incubation with the free DOX, DOX-loaded nanocarrier and un-loaded DOX nanocarrier were shown in Figure 10(b). The experiment was done in triplicate, and the average of three trials is demonstrated in each column. According to this figure, the cell growth inhibition rate of DOX-loaded nanocarrier at various cell concentrations (2-12 µg.mL-1) is lower than both free DOX and net nanocarrier. For example, the Cell viability was about 89%, 77% and 98% for free nanocarrier, free DOX and DOX-loaded nanocarrier, respectively. The figure proves a sharp reduction in cell viability percentage in DOX-loaded nanocarriers compared to other samples. This can be attributed to the controlled DOX release with good efficiency, due to the nanocarriers’ ability to deliver the drug to the targeted tissue, which demonstrated that the nanocarrier had no cytotoxicity activity.
Kinetics of drug releasing
In general, various models or mathematical relationships can be used to show the rate or kinetics of drug release. In this part, we used three famous and well-known models of zero-order, first-order and Higuchi, which are defined based on the following equations, respectively (Modi & Anderso, 2013):
where F is the fraction of DOX release in time t. The K0, K1 and K2 are rate constants of the zero-order, first-order and Higuchi models, respectively. The summarized results in Table 1 depict that the Higuchi model with the higher correlation coefficient (R2) is the best kinetics model for fit the experimental DOX release data with the theoretical ones. These results prove that mechanism of drug release from the as-prepared nanocomposites is a diffusion controlled mechanism.
Table 1. Kinetics parameters for the DOX release from the prepared nanocarriers
DOX (mg.mL-1)
|
zero-order
|
first-order
|
Higuchi
|
K0
|
R2
|
K1
|
R2
|
K2
|
R2
|
1
|
0.008
|
0.8392
|
0.0011
|
0.8999
|
0.012
|
0.9919
|
2
|
0.011
|
0.8136
|
0.0019
|
0.9101
|
0.017
|
0.9964
|
3
|
0.007
|
0.8892
|
0.0015
|
0.8745
|
0.018
|
0.9975
|
4
|
0.004
|
0.8979
|
0.0021
|
0.8184
|
0.014
|
0.9992
|
For further study about the effect of time on releasing kinetics, we recorded the UV-Vis spectra of the solution of DOX at various releasing times from nanocarrier. Figure 11 simply and clearly shows that the rate of drug release from the nanocarrier increases as the drug release time increases from 5 to 120 minutes. According to this figure, the absorption intensity at the λmax of the drug in the spectrum increases with the passage of time, due to the release of the drug into the solution and the increase in its concentration.