Next Article in Journal / Special Issue
Metformin-Encapsulated Liposome Delivery System: An Effective Treatment Approach against Breast Cancer
Previous Article in Journal
Extracellular Vesicles as Natural, Safe and Efficient Drug Delivery Systems
Previous Article in Special Issue
Formulation Strategies for Folate-Targeted Liposomes and Their Biomedical Applications
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Modified Spraying Technique and Response Surface Methodology for the Preparation and Optimization of Propolis Liposomes of Enhanced Anti-Proliferative Activity against Human Melanoma Cell Line A375

by
Hesham Refaat
1,2,
Youssef W. Naguib
1,3,
Mahmoud M. A. Elsayed
4,
Hatem A. A. Sarhan
1 and
Eman Alaaeldin
1,5,*
1
Department of Pharmaceutics, faculty of Pharmacy, Minia University, Minia 61519, Egypt
2
Department of Pharmaceutics, faculty of Pharmacy, Deraya University, Minia 61111, Egypt
3
Division of Pharmaceutics and Translational Therapeutics, College of Pharmacy, University of Iowa, Iowa City, IA 52242, USA
4
Department of Pharmaceutics and Clinical Pharmacy, Faculty of Pharmacy, Sohag University, Sohag 22161, Egypt
5
Department of clinical Pharmacy, faculty of Pharmacy, Deraya University, Minia 61111, Egypt
*
Author to whom correspondence should be addressed.
Pharmaceutics 2019, 11(11), 558; https://doi.org/10.3390/pharmaceutics11110558
Submission received: 1 September 2019 / Revised: 17 October 2019 / Accepted: 20 October 2019 / Published: 28 October 2019
(This article belongs to the Special Issue Advances in Liposome-Based Drug Delivery Systems)

Abstract

:
Propolis is a honeybee product that contains a mixture of natural substances with a broad spectrum of biological activities. However, the clinical application of propolis is limited due to the presence of a myriad of constituents with different physicochemical properties, low bioavailability and lack of appropriate formulations. In this study, a modified injection technique (spraying technique) has been developed for the encapsulation of the Egyptian propolis within liposomal formulation. The effects of three variables (lipid molar concentration, drug loading and cholesterol percentage) on the particle size and poly dispersity index (PDI) were studied using response surface methodology and the Box–Behnken design. Response surface diagrams were used to develop an optimized liposomal formulation of the Egyptian propolis. A comparative study between the optimized liposomal formulation prepared either by the typical ethanol injection method (TEIM) or the spraying method in terms of particle size, PDI and the in-vitro anti-proliferative effect against human melanoma cell line A375 was carried out. The spraying method resulted in the formation of smaller propolis-loaded liposomes compared to TEIM (particle sizes of 90 ± 6.2 nm, and 170 ± 14.7 nm, respectively). Furthermore, the IC50 values against A375 cells were found to be 3.04 ± 0.14, 4.5 ± 0.09, and 18.06 ± 0.75 for spray-prepared propolis liposomes (PP-Lip), TEIM PP-Lip, and propolis extract (PE), respectively. The encapsulation of PE into liposomes is expected to improve its cellular uptake by endocytosis. Moreover, smaller and more uniform liposomes obtained by spraying can be expected to achieve higher cellular uptake, as the ratio of liposomes or liposomal aggregates that fall above the capacity of cell membrane to “wrap” them will be minimized.

1. Introduction

Natural products have caught the attention of formulators to design a suitable dosage to maximize the therapeutic effects of these effective components. Propolis (also known as bee glue) is a resinous substance collected by honeybees from different plant parts, such as barks, cracks and leaf buds. Due to its strong adhesive properties, bees use propolis in the establishment and protection of their hives [1,2]. Propolis has a unique chemical composition as it is rich in polyphenolics, flavonoids, resins, balsams, waxes, amino acids and oils [3]. Many studies jave investigated the pharmacological activity of propolis [4,5,6,7,8,9], including its anticancer [10], antioxidant [11], antimicrobial [12], antiviral [13] and wound healing [14] properties, in addition to immunomodulatory effects [15]. Propolis has been reported to possess cytotoxic activity against different murine and human melanoma cell lines, including B16-F10 [16], B16-F1, and A375 [17]. Although propolis has an expansive therapeutic potential, its processing and formulation development are strictly hindered due to its resinous and sticky consistency, low solubility, and physical instability [18].
Liposomes are nano-sized lipid-based vesicles composed of a lipid bilayer (composed mainly of phospholipids) surrounding an aqueous core [19]. Liposomes are capable of entrapping different active pharmaceutical ingredients such as antimicrobial and antineoplastic drugs, chelating agents, vaccines, steroids and genetic material [20]. Liposomes can be modified using several methods to increase their stability via freeze drying [21,22], surface polymerization [23], surface coating [24] or other processes. They have a unique architecture with their nanoscale, biocompatible, biodegradable and flexible characters which offer a controlled drug delivery to specific organs [25]. Size is the most crucial factor in the in vivo behavior of liposomes and controls the penetration and targeting of drug-loaded vesicles [26]. However, many of the preparation techniques of liposomes produce a heterogenous population, and liposomes may contain residuals of organic solvents [27]. Liposomes larger than 100 nm are more prone to opsonization and clearance by the reticuloendothelial system in high rates than smaller ones [28]. Many techniques have been applied to control the size and homogeneity of liposomal preparations. Sonication is an example of a size-reducing technique [29] which may damage the phospholipids due to the energy input and liability of oxidation [30]. Another technique is the extrusion process [31], which involves using expensive, time-consuming and sensitive devices [32,33,34].
In this study, a simple, new and efficient modification of the ethanol injection method is introduced for the production of homogenous, nanosized liposomes with the avoidance of the drawbacks of other size-controlling techniques. The prepared liposomes were used for the entrapment of Egyptian propolis with its pharmacologically active flavonoids (galangin and chyrsin [35]). A comparative study was carried out to estimate the efficiency of the modified method (spraying technique) in the preparation of homogenous, smaller nanosized liposomes compared to the typical ethanol injection method (TEIM). We hypothesize that a smaller uniform nanosized form of propolis (prepared using a spraying technique and proposed here) will improve its anti-proliferative activity against A375 melanoma cells.

2. Experimental

2.1. Materials

Lipoid S75 (fat-free soybean phospholipids with 70% phosphatidylcholine) was a gift from the lipoid company (Ludwigshafen, Germany). Propolis extract (PE) was purchased from Cell Culture Department-VACSERA-EGYPT. Cholesterol was purchased from Fluka Chemical Co. (Kolkata, India). Absolute ethanol was purchased from El-Nasr Pharmaceuticals (Cairo, Egypt). Distilled water was supplied by the analytical chemistry laboratory, Deraya university. A375 human melanoma cell line cells were obtained from the American Type Culture Collection; cells were cultured using DMEM (Invitrogen/Life Technologies) supplemented with 10% FBS (Hyclone), 10 μg/mL of insulin (Sigma, St. Louis, MO, USA), and 1% penicillin–streptomycin. MTT assay kits were purchased from Sigma Aldrich. All of the other chemicals and reagents were of analytical grade (Sigma Aldrich, St. Louis, MO, USA).

2.2. Methodology

2.2.1. Spraying Technique for the Preparation of PP-Lip

Propolis liposomes (PP-Lip) were prepared using a new modified injection method. Briefly, lipoid s75, cholesterol and propolis were dissolved in the least volume of absolute ethanol; then, the solution was transferred to a spraying apparatus. In a closed system, the solution of lipids and propolis was sprayed (200 µL per five seconds) on the surface of an aqueous media of distilled water containing sucrose (9% w/v) stirred at 1500 rpm at 80 °C. Excess ethanol was evaporated with stirring, and the liposomes were formed spontaneously after further evaporation of the residual ethanol. Prepared liposomes were kept at 4 °C overnight to allow the annealing of the lipid bilayer [36]. The unencapsulated propolis aggregated at the surface of the aqueous liposomal suspension upon cooling and was manually removed by means of a clean wood scraper. The liposomal suspension was then available for the further processes of evaluation and in-vitro characterization. The particle size and poly dispersity index (PDI) were determined, and transmission electron microscopy (TEM) was used to evaluate the liposomes.
Liposomal size and size distribution were determined using laser light diffraction techniques. Briefly, the liposomal preparation was diluted using purified deionized water and analyzed at 25 °C using a Mastersizer 3000E (Malvern Instruments, Malvern WR14 1X, UK). This procedure was done in triplicate for each preparation, and the average values were used.
Transmission electron microscope images were taken after a dilation of the sample with distilled water, and the sample was allowed to air dry on a carbon grid for 1 h and then examined with JEOL (JM 1000 EX, Peabody, MA, USA).

2.2.2. Entrapment Efficiency Percentage (%EE) of Prepared Liposomes

The percentage of flavonoidal content entrapped within the prepared liposomes was determined as follows; first, the free drug was separated from liposomes by the centrifugation of 1 mL of different liposomal suspensions at 15,000 rpm for 2 h at 4 °C. The separated liposomes were washed twice in two separate steps by resuspending them in distilled water to ensure the absolute removal of the unentrapped drug. Then, the liposomes were exposed to absolute alcohol followed by vortexing and sonication until a homogenous suspension was obtained. The suspension was then centrifuged at 15,000 rpm for 30 min, and the supernatant was separated. The colorimetric analysis of the flavonoid content of propolis was previously reported by Woisky and Salatino [37]. One hundred microliters of 10% aluminum chloride alcoholic solution was added to 100 µL of the supernatant, and absolute alcohol was added to obtain a final volume of 2 mL; then, the absorbance was measured at 410 nm using a UV/Vis spectrophotometer (Spectronic Genesys®, with Winspec Software, Spectronic, (Pittsford, NY, USA). The blank was prepared for the direct method using the same procedures as drug-free (blank) liposomes, and its absorbance was then subtracted from that of the propolis-loaded liposomes. Steps were repeated in a triplicate manner, and the mean of flavonoid entrapment was determined using the following equation:
E . E   %   =     ( a m o u n t   o f   f l a v o n o i d s   e n t r a p p e d ) ( t o t a l   a m o u n t   o f   f l a v o n o i d s   a d d e d   )     ×   100

2.2.3. Optimization of Preparation Parameters of PP-Lip Using Response Surface Methodology (RSM), and Box–Behnken Design of Preparation Conditions

Three important factors were selected to study and optimize their effect on the particle size and PDI of the prepared liposomes. Lipid molar concentration (LMC), cholesterol percentage (CH%) and flavonoid loading—which can be metaphorically expressed as drug loading (DL)—were used at three levels, and 17 experiments were generated according to the Box–Behnken design. The three levels of the three factors were as follows: LMC (40, 60, 80 mmole), CH% (20, 43, 66%), and DL (1.5, 3.25, 5 mg) (Table 1).

2.2.4. RSM Approach for Optimization of Factors

According to the RSM approach, the runs were applied in Box–Behnken model-designed experiments to approve that the effects of independent factors were coherent in both the regression model and the experimental results. The response surface diagram was constructed using Design Expert software, version 11 (StatEase®, Minneapolis, MN, USA). Formulations were optimized using response surface diagrams.

2.2.5. Spraying Technique Versus TEIM

Based on the RSM approach optimization results, the optimized PP-Lip formulation was prepared by both the spraying technique, as previously described, and the TEIM, as prepared by Yuan et al. [38]. Briefly, the lipids and propolis were dissolved in 10 mL absolute ethanol and directly injected into a buffer with a slow speed and thermostatic mixing. The particle size and PDI were measured for the two prepared formulations for the assessment of the efficiency of the new modification in producing smaller nanosized liposomes. EE% was calculated for the two preparations.

2.2.6. In Vitro Cytotoxicity Assay

To study the effect of the spraying technique on the enhancement of the cytotoxic effect of the PE against human melanoma cell line A375, the in vitro cytotoxicity was determined using MTT assay. Briefly, cells were seeded in 96-well plates at an initial density of 2 × 103 cells/well. After 24 h, the prepared liposomes as well as the PE were diluted with medium to prepare five concentrations of each sample (100, 25, 6.25, 1.56 and 0.39 µg propolis/mL). Cells were treated with either TEIM PP-Lip, spraying prepared liposomes or PE. Both drug-free (blank) liposomes and the extracted solvent of propolis were used as controls to eliminate the cytotoxic effect of the lipids and solvent. After incubation at 37 °C for 72 h, MTT reagent was added (50 μL of 5 mg/mL MTT solution in DMSO), and cells were further incubated at 37 °C for 4 h. The absorbance of each well was read at 450 nm using a microplate reader (Bioline Elisa plate reader, Maharashtra, India) according to the manufacturer’s instructions. Data are representative of three independent experiments.
All experiments were carried out in triplicate. GraphPad Prism 8 (GraphPad Software, San Diego, CA, USA) was used to analyze the data. One-way ANOVA followed by Tukey’s post-hoc test was used to calculate the significance of the recorded differences. A p value of less than 0.05 was considered statistically significant.

3. Results

3.1. Preparation of PP-Lip

The spraying method successfully produced a nanosized uniform propolis-loaded liposomal formulation (Figure 1), with a very minor aggregation of unencapsulated propolis during preparation and a neat macroscopic appearance of the prepared liposomes (Figure 2), with high propolis entrapment (57.43 ± 0.09%).

3.2. Response Surface Methodology (RSM) Approach for the Optimization of Preparation Factors

The effects of three independent factors—LMC, CH%, and DL—on the particle size and PDI of the produced PP-Lip were estimated for the 17 runs. The measurement of the particle size and PDI were determined in three replicates, and the average has been calculated (Table 2).
Measured data were analyzed using Design Expert software. The regression equations derived by the model were as follows:
YF = Xo + X1A + X2B + X1X1 A1A1+X2X2 B2B2
where YF is the independent variable, Xo is the arithmetic mean response for the 17 runs, and X1 is the estimated coefficient factor for A. A and B represent the average of changing one dependent variable at one time. A1A1 and B2B2 are used to investigate non linearity. The sign and magnitude of coefficients indicates the effectiveness of dependent variables on the response.
ln (Particle size) = +5.45 + 1.21 A + 0.4435 B − 0.2401 C + 0.2246 A2 + 0.1657 B2 + 0.3924 C2
PDI = +0.3806 + 0.2445 A + 0.2178 B + 0.0015 C + 0.0698 A2 + 0.1298 B2 + 0.0288 C2

3.3. Optimized Formulation Parameters for the Lowest Particle Size

The particle sizes of performed batches of liposomes ranged between 80.6 and 1755 nm. The verified model for the particle size is
ln (Particle size) = +5.45 + 1.21 A + 0.4435 B − 0.2401 C + 0.2246 A2 + 0.1657 B2 + 0.3924 C2
The variance analysis of the regression model for the particle size of PP-Lip was checked by the p-value and F-test (Table 3). The p-value was highly significant (P ˂ 0.0001) and the lack-of-fit p-value was larger than 0.05 (0.1562), which indicates that the fitted regression equation was good and capable of explaining and predicting the results. Table 3 showed that the individual variables of LMC (A), CH% (B), DL (C) and (C2) (the quadratic variable of DL which represents an excess of DL) are significant model terms. The positive signs of the coefficients of LMC and CH% indicate the increased particle size with increasing LMC and CH%. The negative sign of the DL coefficient indicates that increasing DL decreases the particle size of formulated liposomes. The coefficient of correlation (R2) indicates a great similarity between the actual experimental data and the predicted value. The values of R2, R2AdJ. and R2Pred. have been calculated for the predicted particle size model as 0.9574, 0.9319 and 0.8488, respectively. The proposed model revealed that the smallest particle size of the liposomes (80.6 nm) was achieved when the formulation parameters were as follows: LMC 40 mmole, CH% 20% and DL 3.25 mg/mL.

3.4. Optimized Formulation Parameters for the Lowest PDI

The homogeneity of the liposomal population is important for the biological behavior of liposomes, as large or aggregated liposomes are rapidly cleared from the bloodstream, unlike small uniform ones [39]. The effect of the three selected dependent factors on reducing PDI was studied. The model equation derived for PDI was
PDI = +0.3806 + 0.2445 A + 0.2178 B + 0.0015 C + 0.0698 A2 + 0.1298 B2 + 0.0288 C2
The variance analysis of the regression model for the PDI of the prepared PP-Lip was also checked by the p-value and F-test (Table 4). The p-value of the regression equation was highly significant (˂0.0001) and the lack-of-fit p-value was 0.1108 (>0.05). Thus, this fitted regression equation was valid and capable of explaining and predicting the results. Table 4 showed that the individual variables of LMC (A), CH% (B) and the quadratic variable of excess CH% (B2) are significant model terms. The values of R2, R2AdJ. and R2Pred. have been calculated for the PDI regression model as 0.9218, 0.8748 and 0.7158, respectively. The lowest PDI (0.175) was achieved when the formulation parameters were LMC 60 mmole, CH% 20% and drug loading 1.5 mg/mL.

3.5. Effect of Individual Variables on the Responses

A perturbation plot is used to study the reaction variables’ influence at a particular point in space. The center point of the variables was selected as a constant comparison point between variables. Figure 3a,b) and Figure 4a,b) present these effects on the particle size and PDI, respectively.
LMC (A) has a positive effect on particle size, where increasing the LMC increases the particle size of the formulated liposomes. In addition, increasing CH% (B) slightly increases the particle size while DL (C) negatively affects the particle size.
The 3D plot for factors affecting particle size (Figure 4b) confirms the positive effect of LMC and CH% on particle size, where the particle size is increased approximately 10 times from 80.6 nm to 883.4 nm upon increasing LMC from 40 to 80 mmole at a CH% of 20%. The particle size also increased approximately 17 times from 110 nm to 1755 nm upon increasing CH% from 20% to 66%.
The perturbation and 3D plots of PDI in Figure 3a,b) show that LMC and CH% have strong positive effects on PDI. The PDI increases and the sample becomes more heterogeneous as LMC and CH% increase. On the other hand, the ANOVA test for PDI data supports the suggestion that DL has an insignificant effect on the PDI (Table 4).

3.6. Confirming the Optimized Formula with the Optimized Particle Size and PDI

According to the Box–Behnken design, to obtain the optimized PP-Lip with the smallest particle size and a small PDI value, the formulation parameters of PP-Lip should be set at an LMC of 40 mmole, CH% of 43% and DL of 3.25 mg/mL. At these values, the particle size and PDI presumed by the regression equations were 86.141 nm and 0.216, respectively. At these optimum conditions, five verification experiments were carried out using the spraying technique, and the average particle size and PDI were 90 ± 6.2 nm and 0.23 ± 0.019, respectively. This result confirms that the optimization process was reasonable and feasible. The entrapment efficiency of the optimized formula was measured as a total flavonoidal content and was found to be 57.43 ± 0.09%.

3.7. Preparation of the Optimized Formula with TEIM

The optimum formula was prepared using the typical injection method to set a comparison between the new technique and the typical method of injection in terms of entrapment efficiency (%EE) (Table 5), particle size and PDI. The particle size and PDI were found to be 170 ± 14.7 nm and 0.286 ± 0.017, respectively, when prepared using the TEIM compared with 90 ± 6.2 nm and 0.23 ± 0.019, respectively, with the spraying technique. Figure 5 shows the particle size distribution of PP-Lip prepared using the spray method and TEIM.

3.8. In Vitro Cytotoxicity Assay

The anticancer activity of bee propolis has been widely studied in vitro [17,40,41] and in vivo [41,42,43]. A375 cells were treated with spray-prepared PP-Lip, TEIM-prepared PP-Lip and PE. Five concentrations of each sample (100, 25, 6.25, 1.56 and 0.39 μg propolis/mL) were tested to calculate the IC50 and determine cell viability. As shown in Figure 6a, the concentration-dependent cytotoxicity observed with PE was augmented when liposomal formulations were used, as the spray prepared PP-Lip seems to be more cytotoxic than TEIM-prepared PP-Lip. It can be clearly seen that neither the solvent control nor empty liposomes were cytotoxic at the three highest concentrations used. Figure 6b shows that the IC50 values of PE, TEIM-prepared PP-Lip and spray-prepared PP-Lip were 18.06 ± 0.75, 4.51 ± 0.09 and 3.06 ± 0.14 μg/mL, respectively. The one-way analysis of variance shows that all the three groups are significantly different from each other, and that spray-prepared PP-Lip is clearly the most cytotoxic.

4. Discussion

In this research, we hypothesize that formulating propolis into nanosized liposomes will improve its cellular uptake and thus its cytotoxic activity. This can be explained by the fact that liposomes have a better dispersibility and higher surface area for endocytosis. They are able to introduce both hydrophilic and lipophilic components of propolis into the cells inside one carrier. Unencapsulated bee propolis may suffer from precipitation or aggregation in the cellular membrane vicinity due to its lipophilic nature, which may impart poor cellular uptake despite its ability to directly diffuse through the cell membrane. In addition, the water-soluble components may suffer poor cellular uptake because of the lipophilic nature of the cell membrane. On a clinical level, formulating the anti-cancer payload into nano-sized carriers may enable long circulation, which takes advantage of the enhance permeation and retention (EPR) phenomenon that characterizes tumors, especially when these nano-carriers are PEGylated.
The development of proper delivery systems of natural products is highly challenging due to their multi-component nature [44]. Many reports have revealed the cytotoxic action of propolis and its isolated components on various tumor cells [45]. However, the complicated heterogeneous nature of propolis represents a serious obstacle that has impeded the development of a nano formulation with desirable characteristics [11,46]. Liposomes offer the best carrier for such natural products due to their ability to entrap both lipophilic and hydrophilic compounds [44]. Although TEIM has been attempted as a suitable yet economic method for the preparation of most liposomal preparations [38], it has not been shown to be good enough in terms of particle size or size uniformity. The use of TEIM has produced liposomes with an average particle size of about 170 nm; nevertheless, as Figure 4 shows, about half of the liposomes were above 200 nm, and about 25–30% of them were even above 300 nm. This may be attributed to the possible erratic precipitation of various propolis constituents, which leads to an irreproducible distribution within the bilayer membrane.
We here report a modification of the preparation method that involves a shorter contact time between the ethanolic solution and the aqueous phase, which seems to provide a solution to the above-mentioned problem. This modified method depends on the atomization of an ethanolic solution, containing PE, phospholipids and cholesterol at the surface of the stirred aqueous medium. The spraying technique is an engineered size control tool that provides a homogenous droplet size with a high surface area and enhanced wettability and hydration of the sprayed material [47,48]. The temperature was set at 80 °C, at which propolis was found to be in a molten state [44]. This temperature allows the efficient and reproducible distribution of propolis inside the nanostructure.
In fact, not only was a markedly smaller particle size obtained with the spray-based method, but also a narrower size distribution, as almost 100% of the liposomes were smaller than 200 nm. Larger and/or aggregated particles may have limited access to cells, compared to their smaller and more uniform counterparts [49,50]. Endocytosis is an energy-consuming process, and the uptake of smaller particles requires less energy than that needed for larger particles [49,51]. Since endocytosis happens over the entire cellular surface, it can be expected that smaller particles which occupy a larger surface area may have a higher chance of cellular uptake [52]. On the other hand, in order to provide more efficient tumor penetration following IV injection of the liposomes, it is strongly recommended that liposomes and nanoparticles are smaller than 200 nm, and preferably 100 nm [53,54]. This highlights the importance of this modified spray-based method, which enabled the encapsulation of a complex mixture of constituents into uniform liposomes with a relatively smaller size. Cell viability was used as a means to detect the efficiency of liposomal uptake, since liposomes made using the two different methods were still composed of the same constituents, in nature and quantities. In general, the propolis-free liposomes were found to be non-toxic to cells at the highest concentration used. Bee propolis extract (PE) itself has a marked antiproliferative activity against A375 cells in vitro. Although TEIM-prepared liposomes showed a significantly lower IC50 value compared to free PE (p < 0.01), liposomes prepared using the spray method brought a further reduction of the IC50 value compared to TEIM (p < 0.05). These liposomes have a greater potential to enhance the tumor accumulation of PE following IV injection. Our current research is directed towards preparing a long-circulating version of this formulation for tumor treatment.
Response surface methodology is a statistical technique used to mimic the functional relationship between factors and responses by applying multivariable quadratic equations. It is convenient, highly reproducible and highly precise [55,56] and is capable of analyzing each level of the experiment sequentially with a consecutive prediction model [57]. Response surface methodology along with the Box–Behnken design have shown a good predictive power for the optimization of the formulation parameters of the PP-Lip in terms of particle size and PDI. The program revealed that increasing LMC and CH% to 80 mmole and 66%, respectively, resulted in the formation of larger vesicles with a more prominent effect of LMC than CH% (Figure 3 and Figure 4). This is in agreement with Ambardekar et al. [44]. This was attributed to the effect of LMC and CH% on increasing the width and rigidity of the phospholipid bilayer [58].
The results show that particle size of formulated liposomes is inversely proportional to DL. The higher the DL, the smaller the particle size gets. This is inconsistent with Padamwar and Pokharkar, and Bradford et al. [59,60] who stated that increasing the hydrophobic Vitamin E loading up to a certain extent decreased the liposomal size. Above that certain limit, the particle size had a tendency to increase in size, similar to that reported by Ambardekar et al. [44]. Actually, the effect of DL on particle size is difficult to explain due to the numerous components of PE with different polarities and physicochemical characteristics. While increasing the loading of lipophilic drugs that are entrapped within the bilayer usually reduces particle size, increasing the loading of hydrophilic drugs within the inner cavity increases particle size [44]. Here, the presence of many compounds which have different physicochemical properties may lead to an overlapping effect of DL on the particle size. The polydispersity index was found to be higher with increasing levels of both LMC and CH% (Figure 4). Similar findings were reported in [61], [62], and [63]. It is believed that with high LMC, liposomes have a higher tendency for aggregation during preparation [63], which leads to a broader size distribution. The 3D surface plots support the data obtained from the perturbation plots concerning both particle size and PDI and their relation to LMC and CH% (Figure 3 and Figure 4). Accordingly, the optimum preparation conditions based on the Box–Behnken design are LMC 40 mmole, CH% 43% and DL 3.25 mg/mL.
The main advantage of this new method is that it produces smaller and more uniform liposomes using a simple, inexpensive and non-tedious technique. With regard to cancer therapy, a smaller particle size may benefit in increasing cellular uptake and thus anti-proliferative activity and tumor accumulation in vivo (for reasons related to the longer circulation time and taking advantage of the EPR effect).
For the preliminary in vitro evaluation, we found strong evidence that our approach successfully improved the antiproliferative activity of propolis, either unencapsulated or encapsulated in liposomes, prepared using the more common TEIM method. We believe that this finding accurately met the first part of our hypothesis (with regard to the anti-proliferative activity). We are currently evaluating the second part of our hypothesis, related to tumor accumulation, by taking better advantage of the EPR effect by using the smaller liposomes proposed here for intravenous injection.
In vivo results will be published as soon as they are finished in a separate publication.

5. Conclusions

The spraying technique is more advantageous than the TEIM in the preparation of nanosized homogenous Egyptian PP-Lip with an enhanced cytotoxic effect against melanoma A375 cell line. The new method has the advantages of being simple and saving time and costs with no need for tedious size-controlling methods.

Author Contributions

E.A. and H.R. conceived of the presented idea, developed the theory, performed the computations, carried out the experiment, supervised the findings, and wrote the manuscript. Y.W.N. contributed to the interpretation of the results and revised the manuscript. M.M.A.E. and H.A.A.S. verified the analytical methods, encouraged H.R. to investigate the modified technique for invitro and in vivo attitude and supervised the findings of this work. All authors discussed the results and contributed to the final manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors would like to acknowledge Omar Aboelazayem for his tremendous effort in educating the team members about Design Expert software.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Alencar, S.; Oldoni, T.; Castro, M.; Cabral, I.; Costa-Neto, C.; Cury, J.; Rosalen, P.; Ikegaki, M. Chemical composition and biological activity of a new type of Brazilian propolis: Red propolis. J. Ethnopharmacol. 2007, 113, 278–283. [Google Scholar] [CrossRef] [PubMed]
  2. Fokt, H.; Pereira, A.; Ferreira, A.; Cunha, A.; Aguiar, C. How do bees prevent hive infections? The antimicrobial properties of propolis. Curr. Res. Technol. Educ. Top. Appl. Microbiol. Microb. Biotechnol. 2010, 1, 481–493. [Google Scholar]
  3. Simone-Finstrom, M.; Spivak, M. Propolis and bee health: The natural history and significance of resin use by honey bees. Apidologie 2010, 41, 295–311. [Google Scholar] [CrossRef]
  4. Banskota, A.H.; Tezuka, Y.; Kadota, S. Recent progress in pharmacological research of propolis. Phytother. Res. 2001, 15, 561–571. [Google Scholar] [CrossRef] [PubMed]
  5. Sforcin, J. Propolis and the immune system: A review. J. Ethnopharmacol. 2007, 113, 1–14. [Google Scholar] [CrossRef] [PubMed]
  6. Sforcin, J.M.; Bankova, V. Propolis: Is there a potential for the development of new drugs? J. Ethnopharmacol. 2011, 133, 253–260. [Google Scholar] [CrossRef]
  7. Shinmei, Y.; Yano, H.; Kagawa, Y.; Izawa, K.; Akagi, M.; Inoue, T.; Kamei, C. Effect of Brazilian propolis on sneezing and nasal rubbing in experimental allergic rhinitis of mice. Immunopharmacol. Immunotoxicol. 2009, 31, 688–693. [Google Scholar] [CrossRef]
  8. Bankova, V. Chemical diversity of propolis makes it a valuable source of new biologically active compounds. J. ApiProd. ApiMed. Sci. 2009, 1, 23–28. [Google Scholar] [CrossRef]
  9. De Castro, S. Propolis: Biological and pharmacological activities. Therapeutic uses of this bee-product. Annu. Rev. Biomed. Sci. 2001, 3, 49–83. [Google Scholar] [CrossRef]
  10. Hegazi, A.G.; el Hady, F.K.A. Egyptian propolis: 3. Antioxidant, antimicrobial activities and chemical composition of propolis from reclaimed lands. Z. Nat. C 2002, 57, 395–402. [Google Scholar] [CrossRef]
  11. Burdock, G. Review of the biological properties and toxicity of bee propolis (propolis). Food Chem. Toxicol. 1998, 36, 347–363. [Google Scholar] [CrossRef]
  12. Kujumgiev, A.; Tsvetkova, I.; Serkedjieva, Y.; Bankova, V.; Christov, R.; Popov, S. Antibacterial, antifungal and antiviral activity of propolis of different geographic origin. J. Ethnopharmacol. 1999, 64, 235–240. [Google Scholar] [CrossRef]
  13. Kumazawa, S.; Hamasaka, T.; Nakayama, T. Antioxidant activity of propolis of various geographic origins. Food Chem. 2004, 84, 329–339. [Google Scholar] [CrossRef]
  14. Park, Y.K.; Koo, MH.; Abreu, JA.; Ikegaki, M.; Cury, JA.; Rosalen, P.L. Antimicrobial activity of propolis on oral microorganisms. Curr. Microbiol. 1998, 36, 24–28. [Google Scholar] [CrossRef]
  15. Marcucci, M. Propolis: Chemical composition, biological properties and therapeutic activity. Apidologie 1995, 26, 83–99. [Google Scholar] [CrossRef]
  16. Zhang, W.; Lan, Y.; Huang, Q.; Hua, Z. Galangin induces B16F10 melanoma cell apoptosis via mitochondrial pathway and sustained activation of p38 MAPK. Cytotechnology 2013, 65, 447–455. [Google Scholar] [CrossRef]
  17. Pichichero, E.; Cicconi, R.; Mattei, M.; Canini, A. Chrysin-induced apoptosis is mediated through p38 and Bax activation in B16-F1 and A375 melanoma cells. Int. J. Oncol. 2011, 38, 473–483. [Google Scholar] [Green Version]
  18. Kalogeropoulos, N.; Spyros, J.; Elena, T.; Ioannis, M.; Vaios, T. Chemical composition, antioxidant activity and antimicrobial properties of propolis extracts from Greece and Cyprus. Food Chem. 2009, 116, 452–461. [Google Scholar] [CrossRef]
  19. Meisner, D.; Mezei, M. Liposome ocular delivery systems. Adv. Drug Deliv. Rev. 1995, 16, 75–93. [Google Scholar] [CrossRef]
  20. Gregoriadis, G.; Florence, A.T. Liposomes in drug delivery. Drugs 1993, 45, 15–28. [Google Scholar] [CrossRef]
  21. Sweeney, L.G.; Wang, Z.; Loebenberg, R.; Wong, J.P.; Lange, C.F. Spray-freeze-dried liposomal ciprofloxacin powder for inhaled aerosol drug delivery. Int. J. Pharm. 2005, 305, 180–185. [Google Scholar] [CrossRef] [PubMed]
  22. van Winden, E.C.; Crommelin, D.J. Short term stability of freeze-dried, lyoprotected liposomes. J. Control. Release 1999, 58, 69–86. [Google Scholar] [CrossRef]
  23. Okada, J.I.; Cohen, S.; Langer, R. In vitro evaluation of polymerized liposomes as an oral drug delivery system. Pharm. Res. 1995, 12, 576–582. [Google Scholar] [CrossRef] [PubMed]
  24. Dong, C.; Rogers, J. Polymer-coated liposomes; stability and release of ASA from carboxymethyl chitin-coated liposomes. J. Control. Release 1991, 17, 217–224. [Google Scholar] [CrossRef]
  25. Werner, C.; Wendel, A. Hepatic uptake and antihepatotoxic properties of vitamin E and liposomes in the mouse. Chem.-Biol. Interact. 1990, 75, 83–92. [Google Scholar] [CrossRef]
  26. Harashima, H.; Sakata, K.; Funato, K.; Kiwada, H. Enhanced hepatic uptake of liposomes through complement activation depending on the size of liposomes. Pharm. Res. 1994, 11, 402–406. [Google Scholar] [CrossRef]
  27. Batzri, S.; Korn, E.D. Single bilayer liposomes prepared without sonication. Biochim. Biophys. Acta (BBA)-Biomembr. 1973, 298, 1015–1019. [Google Scholar] [CrossRef]
  28. Szoka, J.F. The future of liposomal drug delivery. Biotechnol. Appl. Biochem. 1990, 12, 496–500. [Google Scholar]
  29. Fatouros, D.; Gortzi, O.; Klepetsanis, P.; Antimisiaris, S.G.; Stuart, M.C.; Brisson, A.; Ioannou, P.V. Preparation and properties of arsonolipid containing liposomes. Chem. Phys. Lipids 2001, 109, 75–89. [Google Scholar] [CrossRef]
  30. Klein, R. The detection of oxidation in liposome preparations. Biochim. Biophys. Acta (BBA)-Lipids Lipid Metab. 1970, 210, 486–489. [Google Scholar] [CrossRef]
  31. Olson, F.; Hunt, C.A.; Szoka, F.C.; Vail, W.J.; Papahadjopoulos, D. Preparation of liposomes of defined size distribution by extrusion through polycarbonate membranes. Biochim. Biophys. Acta (BBA)-Biomembr. 1979, 557, 9–23. [Google Scholar] [CrossRef]
  32. Frisken, B.; Asman, C.; Patty, P. Studies of vesicle extrusion. Langmuir 2000, 16, 928–933. [Google Scholar] [CrossRef]
  33. Nayar, R.; Hope, M.J.; Cullis, P.R. Generation of large unilamellar vesicles from long-chain saturated phosphatidylcholines by extrusion technique. Biochim. Biophys. Acta (BBA)-Biomembr. 1989, 986, 200–206. [Google Scholar] [CrossRef]
  34. Martin, F.J.; Morano, J.K. Liposome Extrusion Method. U.S. Patent 4,737,323, 12 March 1988. [Google Scholar]
  35. El Hady, F.K.A.; Hegazi, A.G. Egyptian propolis: 2. Chemical composition, antiviral and antimicrobial activities of East Nile Delta propolis. Z. Nat. C 2002, 57, 386–394. [Google Scholar] [CrossRef] [PubMed]
  36. Fueldner, H.H. Characterization of a third phase transition in multilamellar dipalmitoyllecithin liposomes. Biochemistry 1981, 20, 5707–5710. [Google Scholar] [CrossRef] [PubMed]
  37. Woisky, R.G.; Salatino, A. Analysis of propolis: Some parameters and procedures for chemical quality control. J. Apic. Res. 1998, 37, 99–105. [Google Scholar] [CrossRef]
  38. Yuan, J.; Liu, J.; Hu, Y.; Fan, Y.; Wang, D.; Guo, L.; Nguyen, T.L.; Zhao, X.; Liu, X.; Liu, C.; et al. The immunological activity of propolis flavonoids liposome on the immune response against ND vaccine. Int. J. Biol. Macromol. 2012, 51, 400–405. [Google Scholar] [CrossRef] [PubMed]
  39. Juliano, R.; Stamp, D. The effect of particle size and charge on the clearance rates of liposomes and liposome encapsulated drugs. Biochem. Biophys. Res. Commun. 1975, 63, 651–658. [Google Scholar] [CrossRef]
  40. Choudhari, M.K.; Haghniaz, R.; Rajwade, J.M.; Paknikar, K.M. Anticancer activity of Indian stingless bee propolis: An in vitro study. Evid.-Based Complement. Altern. Med. 2013, 2013, 928280. [Google Scholar] [CrossRef]
  41. Mouse, H.A.; Mounir, T.; Abdeslam, J.; Lahcen, A.; Rachida, A.; Abderrahmane, C.; Abdelmajid, Z. Evaluation of the in vitro and in vivo anticancer properties of Moroccan propolis extracts. Rev. Bras. Farmacogn. 2012, 22, 558–567. [Google Scholar] [CrossRef] [Green Version]
  42. Oršolić, N.; Šaranović, A.B.; Bašić, I. Direct and indirect mechanism (s) of antitumour activity of propolis and its polyphenolic compounds. Planta Med. 2006, 72, 20–27. [Google Scholar] [CrossRef]
  43. Carvalho, A.A.; Adriana, A.; Daiane, F.; Christiane, S.; Eduardo, M.; Ana, N.; Nunes, A.; Thamires, M.; Maria, R.; Sueli, Q.; et al. In vivo antitumoural activity and composition of an oil extract of Brazilian propolis. Food Chem. 2011, 126, 1239–1245. [Google Scholar] [CrossRef]
  44. Ambardekar, R.V.; Mahadik, K.R.; Paradkar, A.R.; Harsulkar, A.M. Enhancement of hepatoprotective efficacy of propolis by fabrication of liposomes, as a platform nano-formulation for multi-component natural medicine. Curr. Drug Deliv. 2012, 9, 477–486. [Google Scholar] [CrossRef] [PubMed]
  45. Patel, S. Emerging adjuvant therapy for cancer: Propolis and its constituents. J. Diet. Suppl. 2016, 13, 245–268. [Google Scholar] [CrossRef]
  46. Gardana, C.; Scaglianti, M.; Pietta, P.; Simonetti, P. Analysis of the polyphenolic fraction of propolis from different sources by liquid chromatography–tandem mass spectrometry. J. Pharm. Biomed. Anal. 2007, 45, 390–399. [Google Scholar] [CrossRef] [PubMed]
  47. Koshy, P.; Pacharane, S.; Chaudhry, A.; Jadhav, K.; Kadam, V. Drug particle engineering of poorly water soluble drugs. Der Pharm. Lett. 2010, 2, 65e76. [Google Scholar]
  48. Laouini, A.; Jaafar-Maalej, C.; Limayem-Blouza, I.; Sfar, S.; Charcosset, C.; Fessi, H. Preparation, characterization and applications of liposomes: State of the art. J. Colloid Sci. Biotechnol. 2012, 1, 147–168. [Google Scholar] [CrossRef]
  49. Chen, P.; Wang, H.; He, M.; Chen, B.; Yang, B.; Hu, B. Size-dependent cytotoxicity study of ZnO nanoparticles in HepG2 cells. Ecotoxicol. Environ. Saf. 2019, 171, 337–346. [Google Scholar] [CrossRef]
  50. Behzadi, S.; Serpooshan, V.; Tao, W.; Hamaly, A.; Alkawareek, Y.; Dreaden, C.; Brown, D.; Alkilany, M.; Farokhzad, C.; Mahmoudi, M. Cellular uptake of nanoparticles: Journey inside the cell. Chem. Soc. Rev. 2017, 46, 4218–4244. [Google Scholar] [CrossRef]
  51. Panyam, J.; Labhasetwar, V. Biodegradable nanoparticles for drug and gene delivery to cells and tissue. Adv. Drug Deliv. Rev. 2003, 55, 329–347. [Google Scholar] [CrossRef]
  52. Salatin, S.; Dizaj, S.M.; Khosroushahi, A.Y. Effect of the surface modification, size, and shape on cellular uptake of nanoparticles. Cell Biol. Int. 2015, 39, 881–890. [Google Scholar] [CrossRef] [PubMed]
  53. Naguib, Y.W.; Cui, Z. Nanomedicine: The promise and challenges in cancer chemotherapy. In Nanomaterial; Springer: Berlin/Heidelberg, Germany, 2014; pp. 207–233. [Google Scholar]
  54. Bao, G.; Mitragotri, S.; Tong, S. Multifunctional nanoparticles for drug delivery and molecular imaging. Annu. Rev. Biomed. Eng. 2013, 15, 253–282. [Google Scholar] [CrossRef] [PubMed]
  55. Kalil, S.; Maugeri, F.; Rodrigues, M. Response surface analysis and simulation as a tool for bioprocess design and optimization. Process Biochem. 2000, 35, 539–550. [Google Scholar] [CrossRef]
  56. Kramar, A.; Turk, S.; Vrečer, F. Statistical optimisation of diclofenac sustained release pellets coated with polymethacrylic films. Int. J. Pharm. 2003, 256, 43–52. [Google Scholar] [CrossRef]
  57. Mu, Y.-D.; Zhu, B.; Guo, X.-F. Optimization Of Enzymatic Hydrolysis Conditions Of Rapeseed Protein By Rsm And Result Analysis. J. Henan Univ. Technol. (Nat. Sci. Ed.) 2009, 3. [Google Scholar]
  58. Kirby, C.; Clarke, J.; Gregoriadis, G. Effect of the cholesterol content of small unilamellar liposomes on their stability in vivo and in vitro. Biochem. J. 1980, 186, 591–598. [Google Scholar] [CrossRef] [PubMed]
  59. Padamwar, M.N.; Pokharkar, V.B. Development of vitamin loaded topical liposomal formulation using factorial design approach: Drug deposition and stability. Int. J. Pharm. 2006, 320, 37–44. [Google Scholar] [CrossRef]
  60. Bradford, A.; Atkinson, J.; Fuller, N.; Rand, R.P. The effect of vitamin E on the structure of membrane lipid assemblies. J. Lipid Res. 2003, 44, 1940–1945. [Google Scholar] [CrossRef] [Green Version]
  61. Jaafar-Maalej, C.; Diab, R.; Andrieu, V.; Elaissari, A.; Fessi, H. Ethanol injection method for hydrophilic and lipophilic drug-loaded liposome preparation. J. Liposome Res. 2010, 20, 228–243. [Google Scholar] [CrossRef]
  62. Gentine, P.; Bubel, A.; Crucifix, C.; Bourel-Bonnet, L.; Frisch, B. Manufacture of liposomes by isopropanol injection: Characterization of the method. J. Liposome Res. 2012, 22, 18–30. [Google Scholar] [CrossRef]
  63. Yang, K.; Delaney, J.T.; Schubert, U.S.; Fahr, A. Fast high-throughput screening of temoporfin-loaded liposomal formulations prepared by ethanol injection method. J. Liposome Res. 2012, 22, 31–41. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Schematic diagram showing the details of the spray based preparation method of PP-Lip. This figure was created using Biorender.com.
Figure 1. Schematic diagram showing the details of the spray based preparation method of PP-Lip. This figure was created using Biorender.com.
Pharmaceutics 11 00558 g001
Figure 2. Macroscopic examination of the typical ethanol injection method (TEIM)-prepared and spray-prepared PP-Lip.
Figure 2. Macroscopic examination of the typical ethanol injection method (TEIM)-prepared and spray-prepared PP-Lip.
Pharmaceutics 11 00558 g002
Figure 3. (a) 3D plot showing the effect of CH% and LMC on particle size. (b) Perturbation blot of factors affecting particle size.
Figure 3. (a) 3D plot showing the effect of CH% and LMC on particle size. (b) Perturbation blot of factors affecting particle size.
Pharmaceutics 11 00558 g003
Figure 4. (a) 3D plot showing the effect of CH% and LMC on PDI. (b) Perturbation plot of factors affecting PDI.
Figure 4. (a) 3D plot showing the effect of CH% and LMC on PDI. (b) Perturbation plot of factors affecting PDI.
Pharmaceutics 11 00558 g004
Figure 5. Top: particle size distribution of liposomes prepared using (a) TEIM and (b) spray method. Transmission electron microscope (EM) image of the (c) TEIM-prepared and (d) spray-prepared PP-Lip.
Figure 5. Top: particle size distribution of liposomes prepared using (a) TEIM and (b) spray method. Transmission electron microscope (EM) image of the (c) TEIM-prepared and (d) spray-prepared PP-Lip.
Pharmaceutics 11 00558 g005
Figure 6. (a) Dose–response curves representing the cytotoxic activity of propolis extract (PE), TEIM-prepared PP-Lip and spray-prepared PP-Lip against A375 human melanoma cells, and (b) IC50 values (μg/mL) of different formulations. Values are average and n = 3. In the bottom figure, A represents a significant difference from PE (p < 0.01), and B means significantly different from TEIM PP-Lip (p < 0.05).
Figure 6. (a) Dose–response curves representing the cytotoxic activity of propolis extract (PE), TEIM-prepared PP-Lip and spray-prepared PP-Lip against A375 human melanoma cells, and (b) IC50 values (μg/mL) of different formulations. Values are average and n = 3. In the bottom figure, A represents a significant difference from PE (p < 0.01), and B means significantly different from TEIM PP-Lip (p < 0.05).
Pharmaceutics 11 00558 g006
Table 1. Selected factors for the optimization of propolis liposomes (PP-Lip) formulations.
Table 1. Selected factors for the optimization of propolis liposomes (PP-Lip) formulations.
FactorsCodesRanges and Levels
−101
Lipid molar concentration (LMC)A406080
Cholesterol percentage (CH%)B204366
Drug loading (DL)C1.53.255
Table 2. Factors and response values for the response surface methodology (RSM) test in preparation of PP-Lip.
Table 2. Factors and response values for the response surface methodology (RSM) test in preparation of PP-Lip.
Test NumberA (LMC)B (CH%)C (DL)Particle Size (nm)PDI
140663.25110 ± 19.460.45 ± 0.01
260433.25276.6 ± 18.140.433 ± 0.038
380203.25883.4 ± 90.060.67 ± 0.02
460205189.7 ± 0.490.322 ± 0.005
54043585.8 ± 0.580.187 ± 0.007
6804351070 ± 111.290.749 ± 0.01
740203.2580.6 ± 1.030.201 ± 0.009
860201.5241.5 ± 2.390.175 ± 0.008
960665665.2 ± 49.120.785 ± 0.027
1080431.51678 ± 129.790.678 ± 0.02
1180663.251755 ± 194.51 ± 0.012
1240431.5221 ± 11.530.303 ± 0.018
1360661.5882.7 ± 274.20.875 ± 0.78
1460433.25180 ± 18.240.41 ± 0.008
1560433.25221 ± 14.930.37 ± 0.02
1660433.25246 ± 6.550.29 ± 0.05
1760433.25260 ± 10.580.4 ± 0.01
LMC: lipid molar concentration, CH%: cholesterol percentage, DL: drug loading.
Table 3. Analysis of variance for particle size with the developed model.
Table 3. Analysis of variance for particle size with the developed model.
SourceSum of SquaresDfMean SquareF-Valuep-ValueSignificance
Model14.9062.4837.49<0.0001HS
A-LMC11.80111.80178.06<0.0001HS
B-Ch. %1.5711.5723.750.0006HS
C-DL0.461010.46106.960.0248S
0.212410.21243.210.1037NS
0.115610.11561.740.2160NS
0.648410.64849.790.0107S
Residual0.6625100.0663
Lack of fit0.540960.09012.960.1562NS
Pure error0.121740.0304
Cor total15.5716
R2 = 0.9574R2Adj.= 0.9319R2Pred. = 0.8488
HS: highly significant, S: significant and NS: not significant.
Table 4. Analysis of variance for the poly dispersity index (PDI) of the developed model.
Table 4. Analysis of variance for the poly dispersity index (PDI) of the developed model.
SourceSum of SquaresDfMean SquareF-Valuep-ValueSignificance
Model0.960160.160019.63<0.0001HS
A-LMC0.478210.478258.68<0.0001HS
B-Ch. %0.379310.379346.54<0.0001HS
C-DL0.000010.00000.00220.9634NS
0.020510.02052.520.1436NS
0.071010.07108.710.0145S
0.003510.00350.42920.5271NS
Residual0.0815100.0082
Lack of fit0.069260.01153.750.1108NS
Pure error0.012340.0031
Cor total1.0416
R2 = 0.9218R2Adj.= 0.8748R2Pred. = 0.7158
HS: highly significant, S: significant and NS: not significant.
Table 5. Entrapment efficiency (%EE) of the prepared liposomes.
Table 5. Entrapment efficiency (%EE) of the prepared liposomes.
%EESpraying Prepared PP-LipTEIM PP-Lip
57.43 ± 0.09%63.08 ± 1.13%

Share and Cite

MDPI and ACS Style

Refaat, H.; Naguib, Y.W.; Elsayed, M.M.A.; Sarhan, H.A.A.; Alaaeldin, E. Modified Spraying Technique and Response Surface Methodology for the Preparation and Optimization of Propolis Liposomes of Enhanced Anti-Proliferative Activity against Human Melanoma Cell Line A375. Pharmaceutics 2019, 11, 558. https://doi.org/10.3390/pharmaceutics11110558

AMA Style

Refaat H, Naguib YW, Elsayed MMA, Sarhan HAA, Alaaeldin E. Modified Spraying Technique and Response Surface Methodology for the Preparation and Optimization of Propolis Liposomes of Enhanced Anti-Proliferative Activity against Human Melanoma Cell Line A375. Pharmaceutics. 2019; 11(11):558. https://doi.org/10.3390/pharmaceutics11110558

Chicago/Turabian Style

Refaat, Hesham, Youssef W. Naguib, Mahmoud M. A. Elsayed, Hatem A. A. Sarhan, and Eman Alaaeldin. 2019. "Modified Spraying Technique and Response Surface Methodology for the Preparation and Optimization of Propolis Liposomes of Enhanced Anti-Proliferative Activity against Human Melanoma Cell Line A375" Pharmaceutics 11, no. 11: 558. https://doi.org/10.3390/pharmaceutics11110558

APA Style

Refaat, H., Naguib, Y. W., Elsayed, M. M. A., Sarhan, H. A. A., & Alaaeldin, E. (2019). Modified Spraying Technique and Response Surface Methodology for the Preparation and Optimization of Propolis Liposomes of Enhanced Anti-Proliferative Activity against Human Melanoma Cell Line A375. Pharmaceutics, 11(11), 558. https://doi.org/10.3390/pharmaceutics11110558

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop