Effect of Poloxamer concentration on viscosity
There are many parameters that can affect the thermogel behavior of Poloxamer. It can be clearly said that the effect of concentration can have a very important role on the behavior of this polymer and create a stable role on the drug carrier, but on the other hand, other factors such as additives, pH of the environment, temperature, etc., can affect the behavior of viscosity and rheology.
The effect of different concentrations of Poloxamer on viscosity and rheological behavior was studied. The test samples were prepared at three concentrations of 15, 17.5 and 20% (w/v) of Poloxamer, and the test was performed by a Brookfield rheometer at 25 ℃ and by using an SC4-18 spindle. The results of this test showed that Poloxamer composition with increasing concentration can have a great effect on viscosity and the effect of concentration will be a very important parameter in making the desired thermogel. Figure 1 shows that the effect of concentration on viscosity does not show a continuous behavior and acts independently. Figure 2 shows the effect of different concentrations on the shear rate-shear stress curve of Poloxamer, which shows that as the concentration increases, the shear rate decreases and also the shear stress in the thermogel system increases.
As can be seen from the graph, by increasing the amount of Poloxamer from 15 to 20% (w/v), the viscosity of the Poloxamer solution increases, and with the increase in the shear rate, the shear stress also increases, which indicates the behavior of gelation with shear in Poloxamer solution at different percentages. The behavior of gelation by cutting is one of the important characteristics in the formulation of thermogel polymers. Because by injecting the Poloxamer solution with increasing temperature in the range of body temperature, it causes the formation of a gel and causes the slow release of the drug contained in the Poloxamer thermogel carrier and prevents the presence of high dose drugs in the tissue environment.
The purpose of studying the rheological behavior of Poloxamers made in different ratios is to investigate the relationship between the structure of the material and the carrier intended for drug release. Examining the accuracy of different models in describing the rheological behavior of Poloxamer is important. Also, the changes in the rheological parameters of Hershal-Bulkey, Casson and power law models were investigated by increasing Poloxamer content at 25 oC, as shown in Table 1. According to the different models of rheological behavior, it is observed that the Hershal-Bulkey model has the highest correlation coefficient fit (close to 100) compared to other models such as Casson, power law, Hershal, etc. and with the change of different Poloxamer concentrations, this correlation coefficient still follows the Hershal-Bulkey model. In this study, all the prepared thermogels showed a pseudo-plastic flow behavior, which shows an immediate flow after applying stress, and in this way, the rheological parameters specific to this model were calculated with using Eqs. 2, 3 and 4:
τ = τ° +kDn (1)
τ = k1Dn (2)
√ τ =√ τ° +√(ηD) (3)
In these equations: τ represents shear stress, γ˚ is shear rate (s− 1), k is the fluid consistency coefficient (dyne/cm) an indication of shear stress, k1 represents the plastic viscosity (dyne sn/cm2)0.5, η is the index flow and σ refer to the limit stress (dyne/cm2). Appropriate rheological models were applied to describe the behavior of Poloxamer solution at different concentrations, and in describing the flow behavior of the solution, all three rheological models of
Hershal-Bulkey, power law and Casson were able to analyze the thermogel well in the studied conditions. It should be noted that for all three rheological models, the correlation coefficient is R2. All the samples within the range of the studied shear rates showed a good fit with this rheological model and the correlation coefficient (R2 > 0.94) was obtained in the studied shear rates in all the samples. The results also showed that among the two rheological models of Casson and power law, the data obtained from the tests showed that the rheological model of Casson has a better fit. Therefore, the rheological models of Hershal-bulkey, Casson and power law are, respectively, the most appropriate equations to describe the rheological behavior of the studied treatments.
Table 1: Flow behavior of Poloxamer formulation at 25 °C measured at concentrations of 15% (A), 17.5% (B) and 20% (C) by a rheometer (Brookfield DV-II) using the rheological models of Hershal-bulkey, Casson and power law
Effect of chitosan on the gelation time of Poloxamer
One of the characteristics evaluated for these materials is the gelation time. This time is necessary for the gel formation of the substance in the sol phase at the physiological temperature of 37°C, and during this time, all the samples (Table 2) should be allowed to be injected in the specified place in the liquid form (sol phase) and then turn into a gel. Meanwhile, the material should not remove from the place of use. Vial tilting method was used to visualize gelation with temperature change by measuring the flowability of the prepared hydrogels. As seen in Fig. 3, increasing the concentration of Poloxamer and chitosan improves the gelation time. In Table 2, Poloxamer control samples of P15, P17.5, P20 with Poloxamer concentrations of 15, 17.5, and 20% (w/v) and chitosan concentrations of 0, 0.2, 0.1, and 0.3%, respectively, are presented. It is expected that increasing the concentration of Poloxamer decreases the gel formation time because there are more triple chains that help to form and pack micelles. According to Fig. 3, the addition of chitosan to the Poloxamer composition has the opposite effect and increases the gelation time, because the chitosan chains are entangled, which reduces the hydrophobic interactions of the Poloxamer molecules.
Table 2
Suggested samples to check the gelation time of thermogel
Number
|
Sample
|
%Poloxamer
|
%Chitosan
|
1
|
P15 C0
|
15
|
0
|
2
|
P15 C0.1
|
15
|
0.1
|
3
|
P15 C0.3
|
15
|
0.2
|
4
|
P15 C0.3
|
15
|
0.3
|
5
|
P17.5 C0
|
17.5
|
0
|
6
|
P17.5 C0.1
|
17.5
|
0.1
|
7
|
P17.5 C0.2
|
17.5
|
0.2
|
8
|
P17.5 C0.3
|
17.5
|
0.3
|
9
|
P20 C0
|
20
|
0
|
10
|
P20 C0.1
|
20
|
0.1
|
11
|
P20 C0.2
|
20
|
0.2
|
12
|
P20 C0.3
|
20
|
0.3
|
Modeling and test design using the response surface methodology (RSM)
Due to the fact that increasing the number of evaluated factors requires a lot of time and money, the test design method was used, which of course makes it easier to understand the overall results of the tests. Three factors of Poloxamer concentration, chitosan concentration and pH of the environment were taken into consideration and the design procedure was done with the help of Minitan 19 software and the response method. The results obtained are shown in Table 3, and also, selected examples of experimental design for three dependent variables according to the central composite design can be seen in Table 4. In this test design, the results of 3 response surfaces with 3 central points and 15 suggested samples are presented.
Table 3
Factors and surfaces measured by response surface method
|
Encoded surfaces
|
X3: pH
|
X2: Chitosan(%)
|
X1:Poloxamer(%)
|
7.50
|
0.20
|
20.00
|
+α (1/682)
|
7.50
|
0.30
|
17.50
|
1
|
5.00
|
0.20
|
17.50
|
0
|
2.50
|
0.10
|
17.50
|
-1
|
5.00
|
0.10
|
15.00
|
-α (-1/682)
|
Table 4
Selected samples designed for three dependent variables according to the central composite design
X3: pH
|
X2: Chitosan (%)
|
X1: Poloxamer (%)
|
Samples
|
7.500
|
0.200
|
20.000
|
1
|
5.000
|
0.200
|
17.500
|
2
|
7.500
|
0.100
|
17.500
|
3
|
5.000
|
0.300
|
20.000
|
4
|
5.000
|
0.200
|
17.500
|
5
|
2.500
|
0.200
|
20.000
|
6
|
7.500
|
0.200
|
15.000
|
7
|
7.500
|
0.300
|
17.500
|
8
|
5.000
|
0.100
|
15.000
|
9
|
5.000
|
0.100
|
20.000
|
10
|
2.500
|
0.200
|
15.000
|
11
|
5.000
|
0.300
|
15.000
|
12
|
2.500
|
0.300
|
17.500
|
13
|
5/000
|
0/200
|
17/500
|
14
|
2.500
|
0.100
|
17.500
|
15
|
Effect of addition of chitosan to Poloxamer on gelation temperature
Poloxamer is the main component of the material affecting the thermogel behavior and this behavior can have a very important effect on the properties of the carrier. The effect of Poloxamer concentration is one of the effective factors that can affect other conditions of Poloxamer such as degradation rate, thermogel swelling, drug release rate, gelation temperature, etc. Rheology is the study of the relationship between the mechanical phenomena produced by a material under external force and the viscosity of the polymer during flow. The role and application of Poloxamer as a drug delivery system in the treatment of diseases has been described. In the study, in situ Poloxamer gels, injection capacity and gelation time are among the key factors. Gelation time is defined as the time required to change from liquid to gel during injection at a constant temperature (37.5 °Ϲ).
It is usually delivered using a 20-gauge needle to stabilize the volume and inject the gel at the target tissue site. Below the injection or gelation threshold, the solution can easily pass through the syringe, while above the injection or gelation threshold it is difficult for the solution to pass through the syringe and therefore to administer it.
The temperature of human body tissue is 37.5°C, so if the gelation temperature is below 25°C, the gel may form at room temperature, leading to difficulties in manufacturing, handling and administration. If the gelation temperature is above 37 °Ϲ, a liquid dosage form is still present at body tissue temperature, resulting in early tissue release of the formulation. In studying the behavior of the proposed samples, the design of the experiment was used according to its manufacturing method.
Table 5
Gelation temperature and viscosity at different ratios of Poloxamer to chitosan at 37°C
Sample
|
% Poloxamer
|
% Chitosan
|
T.G
|
Viscosity(cp)
|
1
|
20.000
|
0.200
|
16.530
|
7686
|
2
|
17.500
|
0.200
|
21.680
|
7400
|
3
|
17.500
|
0.100
|
23.000
|
7700
|
4
|
20.000
|
0.300
|
24/200
|
6797
|
5
|
17.500
|
0.200
|
27.440
|
7595
|
6
|
20.000
|
0.200
|
20.380
|
7462
|
7
|
15.000
|
0.200
|
38.000
|
5341
|
8
|
17.500
|
0.300
|
32.700
|
7700
|
9
|
15.000
|
0.100
|
36.000
|
2520
|
10
|
20.000
|
0.100
|
18.930
|
7644
|
11
|
15.000
|
0.200
|
32.600
|
7070
|
12
|
15.000
|
0.300
|
39.000
|
5105
|
13
|
17.500
|
0.300
|
36.700
|
4102
|
14
|
17.500
|
0.200
|
27.440
|
7650
|
15
|
17.500
|
0.100
|
23.030
|
7154
|
Prediction of experimental parameters by RSM
A graph of actual values versus model predicted values is given. This graph in Table 6 shows the predicted response values versus actual values to help identify values or groups of values that are not predicted by the model.
Table 6
Actual and predicted values of experimental parameters of temperature glass (̊C) and torque
Torque
|
Temperature glass (̊C)
|
|
Predicted
|
Measured
|
Predicted
|
Measured
|
126.275
|
100.000
|
15.610
|
16.530
|
1
|
93.333
|
100.000
|
25.520
|
21.680
|
2
|
82.288
|
100.000
|
26.247
|
22.700
|
3
|
83.287
|
100.000
|
26.248
|
24.200
|
4
|
93.333
|
100.000
|
25.520
|
27.440
|
5
|
99.000
|
100.000
|
21.880
|
20.380
|
6
|
77.000
|
76.000
|
37.000
|
38.500
|
7
|
90.438
|
100.000
|
31.572
|
32.700
|
8
|
80.412
|
63.700
|
33.953
|
36.000
|
9
|
91.437
|
100.000
|
16.303
|
18.930
|
10
|
73.725
|
100.000
|
33.520
|
32.600
|
11
|
19.762
|
11.200
|
41.628
|
39.000
|
12
|
32.612
|
14.900
|
36.453
|
40.000
|
13
|
93.333
|
80.000
|
25.520
|
27.440
|
14
|
109.562
|
100.000
|
24.158
|
23.030
|
15
|
According to the proposed design of the experiment and the results obtained from the gelation point and torque of different formulations, it has been shown that the temperatures obtained from the simulation model are relatively close to the temperatures measured in the laboratory and this close numerical agreement of the predicted gelation temperature with the temperatures recorded by the device can show the accuracy of the simulation, but there is a greater numerical difference in the data obtained from the torque, and its estimation and overestimation is unacceptable.
Chitosan is a natural copolymer that has good biocompatibility, antibacterial activity and biodegradability. Chitosan improves the mucoadhesive properties and gel strength of Poloxamer because it has positively charged amine residues that facilitate interaction with the gel solution and provide good mechanical and mucoadhesive properties for the drug, and has antifungal properties, as well as the ability to enhance penetration and healing. Chitosan temperature-sensitive hydrogels are safe and have good pharmaceutical bioavailability. Gel formation is the result of non-covalent interactions such as electrostatic, hydrophobic or hydrogen bonding. The results showed that chitosan-based thermogels have a great advantage in anticancer drug release. The chitosan temperature-sensitive gel microspheres containing the drug prevented the sudden release of the drug at the initial stage and facilitated the slow release of the drug later.
In the development of in situ application of drugs, we must first consider the local physiological conditions, in addition to the capacity to retain and release the drugs. Therefore, P407 is used not only in medicines but also in various additives for safety. To adjust the sol-gel transition temperature, P407 and chitosan were used. According to Fig. 4, the
three-dimensional response surface and the two-dimensional contour versus the concentration of PLX and chitosan show that the higher the proportion of non-ionic polyoxyethylene surfactant parts, the higher the lipophilic-hydrophilic balance value. Therefore, P407 has fat-soluble and water-soluble properties, and it can be dissolved in the aqueous phase and uniformly distributed in the carrier material in the form of molecules, thereby creating a uniform pore structure on the surface of the carrier material. In addition, the addition of chitosan can improve the drug release from the gel in order to improve the effective concentration of the drug in cancer tissues. According to the data, the mixture of P407 (17% by weight) and chitosan (0.2% by weight) is the best choice to obtain the appropriate gelation temperature.
Statistical techniques have been used in the modeling of the surface response procedure using the RSM method. To analyze the results of the desired answers, several effective variables are examined. One of the important actions in RSM design is to find the real dependencies between Y and independent variables. For this purpose, low-order polynomials are generally used. If there is curvature in the system, second- or third-order polynomials are used. To estimate these parameters, the method of least squares in polynomials is investigated.
In the explanation of these models, it can be mentioned that the model used in the response surface method is generally a complete quadratic model equation in the form of the following relationship:
\(Y=\mathop \beta \nolimits_{0} +\sum\limits_{{i=1}}^{k} {\mathop \beta \nolimits_{i} } \mathop x\nolimits_{i} +\sum\limits_{{i=1}}^{k} {\mathop \beta \nolimits_{{ii}} } \mathop {\mathop x\nolimits_{i} }\nolimits^{2} +\sum\limits_{{i=j=1}}^{k} {\mathop \beta \nolimits_{{ij}} } \mathop x\nolimits_{i} \mathop x\nolimits_{j}\)
In this relationship, β0, βi, βii, and βij are constant coefficient, linear regression coefficient, quadratic regression coefficient, and regression coefficient of interaction between two variables, respectively, and the expansion of the above equation is written in simple language as follows:
By examining the main and reciprocal factors on the variables, the response of the surface procedure model was fitted to the data obtained with the Minitab software. The design with three independent variables will be in the form of the following general equation: in this equation:
X1 = Poloxamer concentration, X2 = chitosan concentration, and X3 = pH of the environment.
Y= (\(\mathop \beta \nolimits_{0}\)) +(\(\mathop \beta \nolimits_{1}\)) X1+ (\(\mathop \beta \nolimits_{2}\)) X2+ (\(\mathop \beta \nolimits_{3}\))X3 + (\(\mathop \beta \nolimits_{{11}}\)) X1X1+ (\(\mathop \beta \nolimits_{{22}}\)) X2X2+ (\(\mathop \beta \nolimits_{{33}}\)) X3X3 + (\(\mathop \beta \nolimits_{{12}}\)) X1X2 + (\(\mathop \beta \nolimits_{{13}}\))X1X3 + (\(\mathop \beta \nolimits_{{23}}\))X2X3
For the TG (temperature glass (oC) parameter, the formula will be:
TG = 93/591- 5/748 X1 – 93/175 X2 + 6/694 X3 + 0/113 X1X1 + 330/875 X2X2 + 0/125 X3X3 + 2/270 X1X2 – 0/390 X1X3 − 6/970 X2X3
For the torque parameter, the formula will be:
Torque = 47/75 + 18/29 X1 – 718/58 X2 – 39/30 X3 – 0/75 X1X1 – 1994/17 X2X2 + 0/85 X3X3 + 52/20 X1X2 + 0/96 X1X3 + 85/10 X2X3
Table 7
Regression coefficients for the estimated model temperature glass (̊C)
P
|
T
|
Standard deviation coefficients
|
Coefficients
|
Symbol
|
|
0/432
|
0/855 ns
|
109/493
|
93/591
|
constant (\(\mathop \beta \nolimits_{0}\))
|
|
0/646
|
-0/489 ns
|
11/755
|
-5/748
|
X1 (\(\mathop \beta \nolimits_{1}\))
|
|
0/600
|
-0/560 ns
|
166/437
|
-93/175
|
X2 (\(\mathop \beta \nolimits_{2}\))
|
|
0/361
|
1/005 ns
|
6/657
|
6/694
|
(\(\mathop \beta \nolimits_{3}\)) X3
|
|
0/746
|
0/342 ns
|
0/329
|
0/113
|
(\(\mathop \beta \nolimits_{{11}}\)) X1× X1
|
|
0/169
|
1/608 ns
|
205/831
|
330/875
|
(\(\mathop \beta \nolimits_{{22}}\)) X2 × X2
|
|
0/721
|
0/378 ns
|
0/329
|
0/125
|
(\(\mathop \beta \nolimits_{{33}}\)) X3 × X3
|
|
0/786
|
0/287 ns
|
7/910
|
2/270
|
(\(\mathop \beta \nolimits_{{12}}\)) X1 × X2
|
|
0/273
|
-1/233 ns
|
0/316
|
-0/390
|
(\(\mathop \beta \nolimits_{{13}}\)) X1 × X3
|
|
0/419
|
-0/881 ns
|
7/910
|
-6/970
|
(\(\mathop \beta \nolimits_{{23}}\)) X2 × X3
|
|
*Significant at p ≥ 0.05 |
**Significant at p ≥ 0.01 |
***Significant at p ≥ 0.001 |
ns No significant correlation |
Table 8
Variance analysis of temperature glass model (̊C)
T
|
F
|
Corrected mean square
|
Corrected sum of squares
|
Sequential sum of squares
|
Degree of freedom
|
Ref.
|
|
0.037
|
5.57*
|
87.099
|
783.890
|
783.890
|
9
|
regression
|
|
0.654
|
0.58 ns
|
9.040
|
27.121
|
704.615
|
3
|
linear
|
|
0.646
|
0.24 ns
|
3.740
|
3.740
|
545.490
|
1
|
X1
|
|
0.600
|
0.31 ns
|
4.903
|
4.903
|
155.232
|
1
|
X2
|
|
0.361
|
1.01 ns
|
15.815
|
15.815
|
3.892
|
1
|
X3
|
|
0.504
|
0.90 ns
|
14.026
|
42.077
|
42.077
|
3
|
Second order
|
|
0.746
|
0.12 ns
|
1.829
|
1.829
|
0.633
|
1
|
X1×X1
|
|
0.169
|
2.58 ns
|
40.423
|
40.423
|
39.204
|
1
|
X2×X2
|
|
0.721
|
0.14 ns
|
2.239
|
2.239
|
2.239
|
1
|
X3×X3
|
|
0.548
|
0.79 ns
|
12.400
|
37.199
|
37.199
|
3
|
multiplication
|
|
0.786
|
0.08 ns
|
1.288
|
1.288
|
1.288
|
1
|
X1×X2
|
|
0.273
|
1.52 ns
|
23.766
|
23.766
|
23.766
|
1
|
X1×X3
|
|
0.419
|
0.78 ns
|
12.145
|
12.145
|
12.145
|
1
|
X2×X3
|
|
|
|
15.643
|
78.215
|
78.215
|
5
|
residual error
|
|
0.393
|
1.69 ns
|
18.699
|
56.097
|
56.097
|
3
|
Mismatch error
|
|
|
|
11.059
|
22.118
|
22.118
|
2
|
Pure error
|
|
|
|
|
|
862.106
|
14
|
Total error
|
|
R2 = 90/93%, R2 (pred) = 0/00%, R2 (adj) = 74/60%
|
|
|
*Significant at p ≥ 0.05 |
**Significant at p ≥ 0.01 |
***Significant at p ≥ 0.001 |
ns No significant correlation |
According to the results obtained from Table 8, in the mentioned model, about 74% of the changes in the response variable can be justified with predictive results. The results of R2 and adjusted R-squared (R2adj) calculations are related to the optimal fit of the data.
Investigating the effect of pH on the gelation properties of Poloxamer PLX
Among the other factors mentioned earlier about the effect of thermogel, we can mention the application environment or the pH of the thermogel environment. Considering that the intended drug carrier is used in the environment of cancer cells and according to previous studies, cancer cells decrease the pH of the environment and the presence of Poloxamer thermogel in this environment can affect its release. According to the results obtained from Fig. 5, the three-dimensional and two-dimensional diagrams of the effect of pH of the environment and its reaction on Poloxamer concentration, it seems that the increase of Poloxamer from 15–20% decreases the gelation temperature from 39 ℃ to 16℃ in the environment with pH 7.5, but with the change of the environment towards acidity, the temperature becomes 34 − 20 ℃ in the environment with pH 2.5, and this data shows that the pH factor is an independent factor and necessarily different concentrations do not lead to a decrease in gelation with the acidification of the environment, and as it is clear from the three-dimensional images, increasing the concentration in the range of 20% in an environment with pH 2.5 increases the gelation temperature, and on the other hand, at the concentration of 15% and in a neutral environment at pH 7.5, it reduces the gelation temperature.
Investigating the effect of pH on gelation properties by adding chitosan
According to Fig. 6 of the three-dimensional response surface diagram and two-dimensional contour, the role of chitosan as an improver of the properties of Poloxamer is of great interest and also this polymer can affect the thermogel behavior of Poloxamer, on the other hand, other parameters such as pH can also affect the properties On the other hand, other parameters such as pH can also affect the properties of this compound and change the structure of the drug carrier.
In examining the three-dimensional form of this effect, it was observed that by increasing very small concentrations of chitosan, it can increase the gelation temperature, and on the other hand, by changing the environmental conditions from neutral to acidic at a concentration of 0.1% chitosan, the gelation temperature decreases. In addition, in the concentration of 0.3% chitosan, these environmental conditions increase the gelation point in the response level. According to the previous study of the effect of pH on the thermogel behavior of Poloxamer, it was also observed that the results of different concentrations follow a non-dependent spectrum, and in the investigation of the effect of adding chitosan to Poloxamer, it was also observed that this
non-dependent effect is also evident.
In the review of the data obtained from the results of the experimental design by RSM according to Table 8, in the conditions of the lowest and the highest amount of Poloxamer- chitosan in different environments, it showed that in the combination of 20% Poloxamer, 0.2% chitosan and pH 7.5, it has the lowest gelation temperature in the range of 16.5 oC, and in combination with 15% Poloxamer, 0.3% chitosan and pH 2.5, it has the highest temperature of 39 oC. In the analysis of the data from the results of torque, it can be stated that in combination with 17.5% Poloxamer, 0.2% chitosan and pH 5, torque has maximum state and also in combination with 15% Poloxamer, 0.3% chitosan and pH 2.5 it has shown the lowest torque limit.
Table 8
The minimum and maximum range of gelation temperature and torque
|
Poloxamer (%)
|
Chitosan (%)
|
pH
|
Temperature glass (̊C)
|
Max = 39
|
15
|
0.3
|
2.5
|
Min = 16.5
|
20
|
0.2
|
7.5
|
Torque
|
Max = 100
|
17.5
|
0.2
|
5.0
|
Min = 21.84
|
15
|
0.3
|
2.5
|
Characterization
Analysis and identification of thermogel using FTIR
Infrared Fourier transform (FTIR) spectroscopy is one of the methods to identify the molecular structure and functional groups of compounds. In this study, when the radiation frequency and the molecular bond frequencies are in the same area, the energy of the radiation beam occurs in the absorption bond area and causes a change in the intensity of the vibrations. The spectrum obtained from the analysis shows the intensity of the passage in terms of wavelength. Each peak represents the amount of radiation energy absorption corresponding to the wavelength of that peak. Figure 7 shows the infrared spectrum of the produced Poloxamer-chitosan composite. In order to analyze the peaks in the obtained spectrum, the functional groups in the structural formula of the aforementioned Poloxamer and chitosan samples and the location of the infrared absorption frequencies of each group have been collected according to spectroscopic books. By comparing the frequency of the peaks in the graph related to the produced Poloxamer-chitosan and the values related to the frequency of each functional group, the following results are obtained:
In Fig. 7 spectrum A, the frequencies related to Poloxamer composition can be obtained. In this spectrum, it has the main absorption peaks in the 2870 cm− 1 region related to the stretching bond (C-H) in the aliphatic structure, and at 1350 cm− 1 associated with the bending bond (O-H) as well as in the 1108 cm− 1 region related to the bond (C-O). The spectrum related to Poloxamer has an index peak in the area of 1251 cm− 1 related to C-O stretching vibrations. In addition, the peak created in the region of 3518 cm− 1 belongs to the vibrations of hydroxyl nodes (H-O). The peak in the 1108 cm− 1 region is related to strong bonds (C = H) and also the strong peak in the 2870 cm− 1 region corresponds to (C-H) bonds. In Fig. 7 related to spectrum B, related to chitosan composition, the stretching vibration of the hydroxyl group (O-H) in a bifunctional carboxylic acid has a broad absorption peak with medium intensity in the range of 2400 to 3400 cm− 1, which is completely obvious. The bending vibration of this group also has an average absorption peak in the range of 1395 to 1440 cm− 1, which is also present in the obtained spectrum in the region of 11419 cm− 1. The symmetric and asymmetric stretching vibrations of the N-H functional group in a first-type amide, like the N-H group in acrylamide, have two broad peaks with relatively strong intensities at 3180 and 13350 cm− 1, respectively. Also, the stretching vibration of this group in an amide is of the second type. It should be noted that all 3 mentioned peaks interfere with the broad peak resulting from the O-H group.
By studying the spectra obtained in Fig. 8, it can be seen that the bending vibration of the N-H group in both the first and second type amides has a relatively strong peak in the range of 1550 to 1680 cm− 1, which is in the mentioned spectrum with the absorption peak of the C = O group as separate peaks are in the same range. The stretching vibration of the carbonyl group (C = O) in a bifunctional carboxylic acid and an amide have strong absorption peaks in the ranges of 1700 to 1730 cm− 1, respectively. These peaks in the obtained absorption spectrum are in the region of 1714 cm−1.
Degradability of Poloxamer-chitosan thermogel
Degradation rate in laboratory conditions of Poloxamer-chitosan thermogel was used to investigate its effect on drug release. The results in Fig. 9 show that Poloxamer-chitosan thermogel has lost 51% of its initial weight in phosphate buffered saline (PBS = 7.4) after 5 days and 76% of its original weight after 10 days. In addition, the rate of degradation in phosphate buffered saline (PBS = 5.5) was significantly degraded under acidic conditions and after 10 days, 100% of the thermogel was degraded. According to the obtained results, it can be stated that this thermogel can be used for the long-term release of DOX during the treatment. Hydrogel degradation should be adjusted to completely remove the thermogel after drug release. Also, the rheology behavior can help in designing drug release systems to withstand different biological environments and maintain their stability during storage and transportation.
Investigating the effect of adding chitosan to Poloxamer in the release of doxorubicin
The tests performed on the role of Poloxamer 17.5% (w/v) on the release behavior of doxorubicin drug showed that samples of Poloxamer combination with 1% by weight of doxorubicin can be used as a carrier in many release systems. According to the data obtained in this carrier, it can be concluded that the high release rate of this drug in environments with pH 5.5 and 7.4 caused toxicity in the target tissue and also caused the destruction of healthy tissues next to the tumor. In further investigation of the release conditions of the doxorubicin drug directly in the Poloxamer-chitosan thermogel carrier, the drug was added freely in the thermogel structure and considering that the best thermogel conditions close to body temperature were obtained in the conditions of 17.5% Poloxamer and 0.2% chitosan, so these conditions were used as the basis for the continuation of the work. To investigate these conditions, doxorubicin was added to the Poloxamer-chitosan combination in amounts of 1, 2, and 3% by weight separately, and the release conditions of the drug were carried out in two PBS mediums with pH 7.4 and pH 5.5 in a shaker incubator.
From the release of DOX from Poloxamer-chitosan thermogel with 1% drug in PBS with pH 7.4, explosive release of DOX drug was observed during 9 h (Fig. 10). Sustained release of DOX was then observed with 49% release of the drug in 24 h. In this research, the initial rapid release of DOX from the Poloxamer-chitosan thermogel is expected because the thermogel with large pores and high water content provides a path for the rapid release of compounds with low molecular weight and, as a result, the rapid release of DOX. From the results obtained from the two PLX-CS-DOX and PLX-DOX carriers, it can be pointed out that the presence of chitosan can change the release rate from 48 to 140 h in PBS environment with pH 5.5. This is in the case that in PBS medium with pH 7.4, the release rate in 48 h in the PLX-DOX carrier was about 96%, and in comparison with the same conditions, the release rate in the PLX-CS-DOX carrier was about 55% of the total drug. These results can clearly show that the role of adding chitosan to Poloxamer in drug release and its use improve other mechanical and rheological properties of injectable drug carriers.
Effect of adding different concentrations of DOX on its release
In further studies of DOX release from Poloxamer-chitosan thermogel in PBS at pH 5.5, more explosive release of DOX was observed than from Poloxamer-chitosan thermogel in PBS at pH 7.4, and the results showed that this drug carrier in pH 5.5 environment within 120 h can release all the medicine in it.
In the study, drug release was investigated at different concentrations of doxorubicin. The results showed that Poloxamer-chitosan thermogel is combined with 2% of doxorubicin due to the change in the nature of the molecular bond of the structure and the distance between the chains of the thermogel, which causes a decrease in the connection between the bonds and more penetration of water molecules into the structure and the release of the drug to the outside. The reason for the speed of drug release in this thermogel composition will change. According to Fig. 11, it is possible to see the release rate of doxorubicin in different environments. According to the results, it can be said that in the environment with pH 5.5, due to acidification, the structure breaks down faster and releases more, and in the first 24 h, 70% of the drug is released, and the comparison of the same compound in the environment with pH 7.4, only nearly 42% of the drug was released for 24 h, and during 144 h, all the drugs were completely released in two environments.
Considering that the drug dosage factor can be very important in the prescription of drugs for treatment, and also due to long-term use of the drug, it can cause drug resistance in the patient and change the behavior of the drug effect on the patient, so the disease requires an increase in the drug dose or changing the type of medicine. For this reason, the concentration of the drug in the Poloxamer-chitosan carrier was investigated. As a result of this study shown in Fig. 12, increasing the concentration of the drug doxorubicin in the range of 3% caused a lot of explosive release behavior in the environment of the buffer solution and the duration of 24 h in the environment with pH 5.5 caused the release of more than 82% of the drug in the medium that was compared to the release rate of the drug at the same time at pH 7.4, in which 73% of the drug was able to release doxorubicin. From the obtained results, it can be concluded that the environment of buffer solution can increase the drug release and by increasing the drug concentration, it can play an important role in the structure of the thermogel and its bonding, as well as the loaded drug could be released in a short period of time.