Lipid-Based Formulations Containing Labrafil M2125-CS: A Deep Investigation on Nanosystem Stability

Abstract

Labrafil M2125-CS is a non-ionic surfactant component widely used for improving the solubilization of poor water-soluble drugs and as component of lipid-based nanosystem formulation. The aim of this research work was to evaluate in depth the stability of lipid-based nanosystems when exposed at several experimental conditions, such as temperature- and pH-variations, and during a specific storage process—lyophilization. Dynamic light scattering was the main analysis carried out during this research work for investigating eventual physico-chemical variations of nanosystem properties after different storage phases. We demonstrated that many of prepared formulations were able to maintain almost unchanged mean size and polydispersity index values, resisting acid and basic pH or high and low temperature, as well as the freeze-drying process. Finally, the results showed that there are no univocal experimental conditions suitable for the storage of all formulation types, but each sample requires customized conditions.

1. Introduction

The drug delivery systems’ approach was developed in order to obtain therapeutic effect and overcome all the limitations of drug administration in free form, such as side-effects due to nonspecific action, number of administrations, instability of active compounds in physiological conditions, etc. [1,2].

In these attempts, several lipid-based colloidal systems, including a heterogeneous set of nanoformulations, have been realized to obtain a controlled delivery of drugs with different physicochemical features [3]. Several parameters had to be considered for the design of a suitable nanosystem, such as drug solubility, mean size and size distribution of the particles, and colloidal formulation stability.

Considering that one of the main disadvantages in the translation of nanoformulations into clinical practice is its high costs [4] derived from expensive preparation methods and components, and detailed manufacture and quality control, the importance of stability evaluation through the investigation of several factors play an important role, determining preparation process, storage conditions and applications.

Chemical and physical changes in lipid components might modify certain properties, thus leading to different in vivo responses, e.g., particle size can affect cellular uptake [5]. A deeper investigation into physicochemical parameters, also considering the influence of external factors such as temperatures and pH, could prevent instability phenomena such as flocculation, sedimentation, or coagulation [6]. Lyophilization is a widely employed storage method in several fields, as well as a pharmaceutical one, with the advantage to prevent degradation and guarantee optimal starting conditions after sample resuspension. In this regard, several critical points need to be considered, such as lipid integrity preserved by cryoprotectants, the presence of different lipids, and physicochemical parameters, thus developing an optimization of the realization process [7,8].

The use of lipid-based formulations, i.e., fatty acid derivatives with various head group moieties, for several drug delivery is already firmly established [9]. Specifically, Labrafil is a non-ionic surfactant composed of a mixture of glycerides and fatty acid esters, acting as solubilizer for poorly soluble molecules [10]. It is mainly used for oral administration and leads to the increase in oral bioavailability of several compounds [11]. Labrafil consists of mono-, di- and triglycerides and PEG-6 (MW 300) mono- and diesters of linoleic (C18:2) acid. The presence of these glycerides also shows antimicrobial activity [12,13]. The aim of the work is to explore stability properties of lipid-based formulations, made up of Labrafil M2125-CS, by investigating physicochemical parameters such as mean size, polydispersity index and long-term stability as a function of storage time, temperature, pH, and lyophilization process. The data obtained offer a broader context, setting the stage for further studies.

2. Materials and Methods

2.1. Materials

Phospholipon 90G^® (PL-90G^®), a purified, deoiled, and granulated soy lecithin with phosphatidylcholine content of at least 90%, was obtained from Natterman Phospholipid GMBH (Köln, Germany) and was used without further purification. Labrafil M2125 was purchased from Gattefossè (Saint-Priest, France). Cellulose membranes Spectra/Por MWCO 50 KDa were obtained from Spectrum Laboratories, Inc. (Eindhoven, The Netherlands). Standard solutions at pH 4, 7 and 10 were purchased from Sigma-Aldrich (St. Louis, MO, USA). Glucose, trehalose, sucrose, and mannose, used as cryoprotectants, were all purchased from Sigma-Aldrich (Milan, Italy). Deionized double-distilled water (MilliQ) was used throughout the study.

2.2. Preparation of Labrafil M2125-Based Nanosystems

To prepare lipid-based formulations, different amounts of PL-90G^® and Labrafil M2125-CS were homogenized, according to an easy manufacturing method developed in our laboratory and already used for the preparation of unsaturated fatty acids vesicles [14,15]. The preparation method was slightly modified. In detail, 20 mg of lipid components was suspended in 3 mL of deionized double-distilled water at room temperature. The samples were submitted to a vigorous process of homogenization by using Ultraturrax^® (model T25; IKA^® Werke GmbH and Co., Staufen, Germany), alternating one cycle at 15,000 rpm of 15 min with one rest cycle of the same duration and repeating this protocol three times. During homogenization, the samples were immersed in an ice bath to avoid temperature increase, which could modify their physico–chemical features. Then, to remove unreacted compounds and impurities, the systems were purified by dialysis method (cut-off 50 kDa) for 30 min in deionized double-distilled water at room temperature [16]. Finally, samples were collected into pyrex glass vials and stored at +4 °C until the analysis.

2.3. Physico–Chemical Characterization of Gained Nanosystems

The physico–chemical features of nanosystems were assessed by means of dynamic light scattering (DLS), using a Zetasizer Nano ZS apparatus (Malvern Instruments Ltd., Worcestershire, UK) following a 1:20 dilution of samples and applying the third order cumulant correlation function, as reported in previous works [17]. From this analysis, mean sizes and polydispersity indexes of samples were collected and expressed as mean values of three independent experiments ± standard deviation.

The stability of the formulations was determined firstly by macroscopic examination and then by using a Turbiscan Lab^® Expert, equipped with a Turbiscan Lab Cooler. The samples were placed into a cylindrical glass tube and measurements were carried out for 1 h at 25 ± 1 °C. During the analysis, the integrated TurbiSoft software 2.0.0.33 (Formulaction, L’Union, France) recorded variations of deltabackscattering (ΔBS) and delta-transmission (ΔT) profiles and provided a cumulative evaluation of destabilization kinetic of samples through TSI (Turbiscan Stability Index) values [18].

2.4. Assessment of Storage, pH, and Temperature Influence on Stability

After a canonic characterization of formulations size and polydispersity index, a deeper investigation into nanostructure stability under different conditions of storage, temperature, and pH values was assessed. Each of these parameters could affect systems integrity and cause instability phenomena, as aggregation, phase separation or not-homogeneous size in particle distribution. Mean sizes and polydispersity were re-evaluated: (i) after samples storage at 4 °C for 24 h, 1 week, 2 weeks or 1 month; (ii) analyzing samples at greater temperatures (30, 40, 50 °C); (iii) incubating samples in standard solutions at different pH values (4, 7, 10).

2.5. Freeze-Drying Studies

The lyophilizer (VirTis SP scientific sentry 2.0; SP Industries, Warminster, PA, USA) was used to carry out a freeze-drying process. Aliquots (500 μL) of each formulation were placed in suitable polypropylene tubes together with four different cryoprotectants (glucose, trehalose, sucrose, and mannose) at two different concentration (5 and 10% w/v) and frozen in liquid nitrogen for 2 min. Therefore, frozen samples were put in the freeze-drying chamber and cryo-dried for 24 h, thanks to equipped vacuum pump (B14 model; Carpanelli S.p.a., Bologna, Italy). After 3 days of storage at room temperature, the obtained lyophilized fine particles were rehydrated and gently shaken. The ability of samples to be resuspended and the physicochemical properties of resulting colloidal dispersions were evaluated by DLS analysis.

2.6. Statistical Analysis

The statistical analysis was carried out with a one-way ANOVA test. Bonferroni t-test was used to check the obtained results and the significance levels were fixed at * p < 0.05 and ** p <0.001.

3. Results and Discussion

3.1. Physico–Chemical and Technological Characterization

The evaluation of the physicochemical features of the nanosystems is a crucial factor to investigate since the mean size and the polydispersity index are fundamental aspects as they strongly influence the biopharmaceutical fate of the formulations. This step acquires much more importance when a new carrier is realized, or a different method is used during the preparation of systems. In this study, a non-ionic surfactant Labrafil M2125-C (LBF) was combined with PL-90G^® in different molar ratios, according to the procedure described in Section 2.2 for the realization of an innovative system. We obtained six formulations, characterized by specific physico-chemical characteristics, reported in

Table 1. Composition and physicochemical features of PL-90G^® and Labrafil M2125-based nanosystems. Data are expressed as mean values of three independent experiments ± standard deviation.

		t = 0
Samples	Molar Ratio PL-90G®/LBF	Mean Sizes (nm)	PdI 1
A	0.24:0.76	83 ± 1	0.15 ± 0.01
B	0.32:0.68	91 ± 1	0.28 ± 0.02
C	0.48:0.52	91 ± 1	0.10 ± 0.01
D	0.44:0.56	94 ± 1	0.18 ± 0.01
E	0.64:0.36	109 ± 1	0.09 ± 0.03
F	0.76:0.24	129 ± 1	0.16 ± 0.02

¹ PdI, polydispersity index.

. Each sample had low PdI values (≤0.3), accepted as representing a monodisperse population of colloidal particles [19,20,21], and mean sizes below 130 nm. The amount of LBF in the mixture determined an effect on sizes as the increase of LBF concentration corresponded to a reduction in the average diameter. Acting like a surfactant, LBF could be responsible for a lipids rearrangement in the structure [22], leading to smaller system dimension (up to about 80 nm), but maintaining in any case a suitable polydispersity index. Dynamic Light Scattering profiles of some samples are reported in Figure S1. The impact of LBF in dimensional reduction of dispersion components is an interesting element to take into consideration in the panorama of drug delivery systems, since size could affect some of their properties, such as the release rate of entrapped drugs [23,24,25].

A macroscopic investigation showed no aggregation phenomena macroscopically visible and no phase separation.

To confirm the stability of these systems, a Turbiscan Lab^® Expert instrument was used. This tool provides a non-invasive method of analysis that predicts the long-term stability of solutions or suspensions and provides real-time information on the destabilization process [26,27]. Recorded variation of backscattering and transmission profiles of systems, after 1 h of analysis, are illustrated in Figure 1, where ΔBS (panel A) and ΔT (panel B) profiles are shown as a function of sample height. As shown, both ΔBS and ΔT values of LBF-based formulations demonstrated that no relevant modifications of signals occurred during analysis and an overlapping of six curves was obtained. Variations in the transmission and/or backscattering profiles of samples within an interval of ±2% are not considered meaningful of instability [18], thus demonstrating that no sedimentation, aggregation, or phase separation occurred during the analysis. The presence of greater peaks from 0 to 2 mm of sample height (Figure 1) is not related to instability phenomena of the system but it can be ascribable to the thickness of the bottom of the glass vial [28]. Overall, all the samples are considered stable dispersion systems.

The long-term stability of investigated formulations was further confirmed by the destabilization kinetic profiles (Turbiscan Stability Index, TSI). The TSI is a relative number that estimates colloidal dispersion stability. High values of the TSI indicate instability and higher probability of phase separation, whereas lower TSI values denote more stability of the system [29,30]. Figure 2 shows that all formulations had good and comparable TSI values (<4), confirming the results obtained from previous studies [31].

3.2. Storage, pH, and Temperature Influence on Stability

A physico-chemical characterization of newly synthesized systems represents only the first step of a long chain of subsequent detailed investigations. Afterall, a formulation intended for pharmaceutical use must meet requirements that go far beyond proper size and stability under conventional conditions. The obtained samples could be perturbed in their properties by thermal stress or by pH variations, both in the physiological environment and in the production, management, and storage processes. For most commercial applications, it is important that the properties of nano-based delivery systems remain physically stable throughout their shelf life, as much as the achieving of an appropriate chemical stability of active compounds [32,33]. To assess the samples’ ability to retain a certain stability under conditions of temperature variations, they were stored at 4 °C for 24 h, 1 week, 2 weeks, and 1 month. After these times, they were re-analyzed by using DLS (

Table 2. Influence of storage at 4 °C on samples mean size and PdI as function of time (t). Data are listed as mean values of three independent experiments ± standard deviation.

	t = 24 h		t = 1 Week		t = 2 Weeks		t = 1 Month
Sample	Mean Size (nm)	PdI	Mean Size (nm)	PdI	Mean Size (nm)	PdI	Mean Size (nm)	PdI
A	84 ± 1	0.14 ± 0.02	89 ± 1	0.12 ± 0.01	89 ± 1	0.10 ± 0.01	86 ± 1	0.08 ± 0.02
B	84 ± 1	0.14 ± 0.01	84 ± 1	0.14 ± 0.01	84 ± 1	0.14 ± 0.10	92 ± 1	0.15 ± 0.01
C	103 ± 1	0.07 ± 0.01	107 ± 1	0.06 ± 0.01	106 ± 1	0.06 ± 0.02	107 ± 1	0.09 ± 0.01
D	102 ± 1	0.18 ± 0.02	191 ± 2	0.30 ± 0.02	199 ± 1	0.08 ± 0.01	203 ± 1	0.03 ± 0.01
E	148 ± 1	0.33 ± 0.01	133 ± 1	0.18 ± 0.01	138 ± 2	0.11 ± 0.01	##	##
F	153 ± 1	0.25 ± 0.01	150 ± 2	0.20 ± 0.01	190 ± 2	0.18 ± 0.01	##	##

## Sample not suitable for analysis.

). Samples containing the highest amounts of LBF (A, B, C) showed stable dimensions until 1 month from the preparation day. In details, formulation A, which had minor mean size after the homogenization process (see Table 1), was able to maintain its feature with a very slight increase in mean size values, starting from 83 nm ± 1 at t = 0 until 86 nm ± 1 (Table 2) after 1 month of storage at 4 °C (* p<0.05). Formulations B and C were dimensionally stable until the end of the investigation; in fact, after 30 days, DLS analysis showed no relevant variations of mean sizes (92 ± 1 and 107 ± 1 nm, respectively). When the ratio of LBF to PL-90G decreased, a slight but more detectable increase in the mean diameter of the dispersed droplets occurred, as noted for the D–F formulations. Even after 1 week, sample D underwent an increase of ~100 nm (** p < 0.001). The most evident rise in system mean sizes was obtained with formulations E and F, containing the minor quantity of LBF; at 1 month of storage, DLS analysis could not be carried out, due to the presence of sediments visible to the naked eye on the bottom of the vial. Polydispersity indexes were largely maintained at low values, with a special regard to A, B, and C samples in which PdI even diminished, compared to the initial one. Overall, these results showed that the mean size trend observed in Table 2 was preserved, thus confirming LBF influence on nanostructures and assessing a suitable stability under controlled temperature storage, without any drying process [22].

Further stability investigation as a function of temperature was performed, evaluating the samples’ properties during heating with DLS apparatus. The rise in temperature can affect system stability and aggregation phenomena can be generated by the increase in the degree of disorder and collisions between the particles forming the colloid or by the physical degradation of components that risk losing their function and structure. The effect of heat treatment on the mean sizes was studied by exposing freshly formed formulations to constant temperature values of 30, 40, and 50 °C during dynamic light scattering analysis.

The results showed that there were no relevant differences in the mean sizes in any of the studied samples (

Table 3. Influence of temperature (T) on the samples’ mean size and PdI. Data are listed as mean values of three independent experiments ± standard deviation.

	T = 30 °C		T = 40 °C		T = 50 °C
Sample	Mean Size (nm)	PdI	Mean Size (nm)	PdI	Mean Size (nm)	PdI
A	90 ± 1	0.14 ± 0.01	91 ± 3	0.12 ± 0.01	91 ± 3	0.13 ± 0.01
B	90 ± 1	0.26 ± 0.01	93 ± 5	0.27 ± 0.01	94 ± 8	0.27 ± 0.01
C	85 ± 2	0.13 ± 0.01	82 ± 7	0.09 ± 0.01	89 ± 1	0.07 ± 0.02
D	87 ± 1	0.09 ± 0.01	89 ± 6	0.10 ± 0.01	92 ± 1	0.10 ± 0.01
E	140 ± 1	0.29 ± 0.01	144 ± 4	0.24 ± 0.01	142 ± 3	0.24 ± 0.03
F	153 ± 4	0.14 ± 0.01	168 ± 9	0.24 ± 0.01	175 ± 6	0.23 ± 0.02

). The first four samples (A–D) were not affected by heating at all, since their physicochemical characteristics were not distorted at any temperature used.

On the other hand, some formulations (E and F) were mostly influenced by these conditions. In detail, at 30 °C, formulation E increased their size to above 30 nm (** p < 0.001) but retained a PdI value lower than 0.3; on increasing the heating temperature, both evaluated parameters remained constant.

On the contrary, formulation F, which was previously considered unstable after long-term storage, initially showed a reduction in mean sizes (153 ± 4 at 30 °C—** p < 0.001) that increased again linearly at a higher temperature.

Furthermore, in this case, the samples with higher content of non-ionic surfactant seemed to represent the best formulations in terms of stability. This stability might be ascribed to the sufficient presence of repulsive interactions between the components of the dispersed system, which prevent aggregation or creaming events, assuring an optimum homogeneity of samples. In Figure 3, the results of mean size and PdI were reported as a graph and as a function of temperature, to show better the related influences.

Examining the effect of pH on changes in physicochemical parameters is an issue of fundamental importance due to its direct correlation with the applicability of any pharmaceutical form.

In fact, it influences various stages in the fate of drug delivery systems administration, starting from their quantity present in the absorption site and dissolution of the pharmaceutical form to entrapment in biological membranes.

From the test of stability at different pH values, a different situation emerged, thus not confirming the trend previously observed during temperature changes.

In acid condition (pH = 4), all the samples had slightly increased dimensions, independently from the LBF/PL-90G^® molar ratio; on the contrary, the DLS analysis showed that the mean size trends occurring in standard condition were maintained also at pH 7 and 10, as shown in

Table 4. Influence of pH variation on samples mean size and PdI. Data are listed as mean values of three independent experiments ± standard deviation.

	pH = 4		pH = 7		pH = 10
Sample	Mean Size (nm)	PdI	Mean Size (nm)	PdI	Mean Size (nm)	PdI
A	131 ± 8	0.06 ± 0.02	87 ± 1	0.17 ± 0.01	92 ± 1	0.22 ± 0.01
B	130 ± 8	0.08 ± 0.01	94 ± 1	0.11 ± 0.01	103 ± 1	0.17 ± 0.01
C	130 ± 7	0.09 ± 0.02	96 ± 1	0.11 ± 0.01	113 ± 1	0.16 ± 0.02
D	131 ± 6	0.05 ± 0.01	107 ± 1	0.10 ± 0.01	116 ± 1	0.13 ± 0.01
E	128 ± 3	0.16 ± 0.01	123 ± 1	0.24 ± 0.01	131 ± 2	0.23 ± 0.02
F	146 ± 1	0.13 ± 0.02	155 ± 1	0.26 ± 0.01	164 ± 1	0.21 ± 0.01

. The PdI of each formulation was maintained under 0.3 value, indicating a narrow size distribution.

According to our results, it is possible to affirm that these systems do not undergo breakage if exposed to different pH conditions; therefore, they are promising for different applications in the pharmaceutical and cosmetic fields.

3.3. Freeze-Drying Studies

Lyophilization, also known as freeze-drying, is defined as the industrial or laboratory process that removes big amounts of water from the systems by sublimation under vacuum, at low pressure, and leads to anhydrous product [34].

This method is essential to eliminate free water in the system which could be responsible for microbial growth, drug leakage, and hydrolysis of phospholipids to free fatty acids, decreasing therapeutic efficiency or generating instability phenomena [35,36].

All these events could reduce or impact the final product’s shelf life. Despite the previous studies demonstrating that our systems maintained their physico–chemical characteristics up to one month after storage at 4 °C, freeze-drying studies were carried out to evaluate the applicability of the method to ensure further long-term storage and stability.

It is well known that, during the freezing step, the formation of solid amorphous glass (vitrification) between colloidal particles dramatically affects the quality of the product dried by the sublimation process [37].

This damage can be avoided by adding cryoprotectants and applying a fast freezing [38]. Glucose, trehalose, mannose, and sucrose were chosen as mono- and disaccharides to be added in two different concentrations (5 and 10%) to the samples before starting the lyophilization [39].

At the end of the lyophilization process, the obtained dried powders were then gently rehydrated, preventing the disruption of the porous structure caused by rapid addition of water [40].

A DLS analysis was then performed to evaluate physicochemical parameters of the resuspended formulations.

In

Table 5. Mean size and PdI of six formulations resuspended in water after lyophilization with different cryoprotectants. Data are listed as mean values of three independent experiments ± standard deviation.

Sample	Cryoprotectant (%w/v)	Mean Size (nm)	PdI
A	Glucose 5%	71 ± 14	0.56 ± 0.06
	Glucose 10%	178 ± 6	0.41 ± 0.06
	Trehalose 5%	238 ± 7	0.78 ± 0.08
	Trehalose 10%	357 ± 28	0.65 ± 0.03
	Mannose 5%	170 ± 6	0.46 ± 0.06
	Mannose 10%	400 ± 14	0.58 ± 0.06
	Sucrose 5%	#	0.96 ± 0.01
	Sucrose 10%	368 ± 9	0.54 ± 0.03
B	Glucose 5%	112 ± 22	0.34 ± 0.02
	Glucose 10%	139 ± 18	0.59 ± 0.13
	Trehalose 5%	383 ± 50	0.77 ± 0.08
	Trehalose 10%	215 ± 5	0.38 ± 0.01
	Mannose 5%	#	0.49 ± 0.08
	Mannose 10%	436 ± 21	0.63 ± 0.07
	Sucrose 5%	#	0.79 ± 0.06
	Sucrose 10%	241 ± 4	0.32 ± 0.02
C	Glucose 5%	72 ± 50	0.41 ± 0.02
	Glucose 10%	225 ± 39	0.15 ± 0.02
	Trehalose 5%	#	0.57 ± 0.04
	Trehalose 10%	271 ± 25	0.58 ± 0.14
	Mannose 5%	#	0.68 ± 0.08
	Mannose 10%	#	0.77 ± 0.01
	Sucrose 5%	#	0.88 ± 0.05
	Sucrose 10%	308 ± 13	0.50 ± 0.03
D	Glucose 5%	209 ± 6	0.17 ± 0.03
	Glucose 10%	214 ± 4	0.21 ± 0.01
	Trehalose 5%	124 ± 1	0.26 ± 0.02
	Trehalose 10%	155 ± 1	0.25 ± 0.01
	Mannose 5%	501 ± 13	0.66 ± 0.02
	Mannose 10%	218 ± 3	0.50 ± 0.01
	Sucrose 5%	304 ± 8	0.67 ± 0.05
	Sucrose 10%	#	0.43 ± 0.08
E	Glucose 5%	82 ± 15	0.56 ± 0.01
	Glucose 10%	100 ± 24	0.59 ± 0.04
	Trehalose 5%	213 ± 3	0.52 ± 0.06
	Trehalose 10%	239 ± 2	0.24 ± 0.01
	Mannose 5%	326 ± 4	0.43 ± 0.01
	Mannose 10%	203 ± 2	0.50 ± 0.01
	Sucrose 5%	#	0.57 ± 0.01
	Sucrose 10%	#	0.72 ± 0.06
F	Glucose 5%	350 ± 7	0.40 ± 0.01
	Glucose 10%	148 ± 36	0.96 ± 0.08
	Trehalose 5%	148 ± 3	0.43 ± 0.04
	Trehalose 10%	152 ± 1	0.29 ± 0.01
	Mannose 5%	152 ± 2	0.18 ± 0.02
	Mannose 10%	#	0.58 ± 0.02
	Sucrose 5%	181 ± 1	0.16 ± 0.03
	Sucrose 10%	216 ± 2	0.18 ± 0.02

# Exceeds calibration.

, mean size and PdI values are reported for each formulation and each amount of used cryoprotectants.

After rehydration, some samples were not found suitable for analysis and they presented aggregates and unstable structures, confirmed by mean size values that exceeded instrument calibration (˃1000 nm).

Physicochemical features of formulations D and F were the best as mean size and PdI were retained at values of <300 nm and <0.3, respectively. Formulations A and B, which previously maintained the most appropriate stability parameters, exhibited an unexpected behavior after lyophilization, showing an increase in PDI values. From results obtained from the freeze-drying process using different cryoprotectants, an interesting evidence emerged: one mono- or di-saccharide can ensure the best but also the worst results for two different formulations. For example, sucrose (5% w/v) provided one of the best size parameters for obtaining sample F powder (Figure S2), while the same concentration made formulation A, B, C, and E unsuitable for resuspension, as macroscopical aggregates were still visible after shaking. These findings are probably related to the different compositions of the systems, which need different cryoprotectants to obtain a stable dried product and their complete dissolution without presenting any drastic alteration in properties.

Although not all samples were suitable for the freeze-drying process, all formulations can be stored for a long time in different ways. In fact, the same samples (A and B) that did not have suitable size and PDI properties to undergo lyophilization, previously reported great long-term stability in storage conditions at 4 °C. On the contrary, the formulations that underwent greater dimensional and PDI variations when stored at 4 °C, turned out to be suitable for the vacuum cryo-drying process.

Altogether, this outcome is highly positive as all systems have their own method of conservation.

4. Conclusions

The present study described the physico-chemical features of lipid-based nanosystems containing Labrafil 2125-CS and PL-90G^®, proposing a new and low-cost method of preparation, based on an easy homogenization process. A deep investigation on several formulations was performed, evaluating physico-chemical features both in standard conditions of temperature and under specific stress, such as pH and temperature variations and as function of storage time. The results highlighted that these lipid-based formulations were able to maintain suitable mean size, on a nanometric scale, and a narrow size distribution, independently of the experimental conditions. Furthermore, this large pool of results has shown that there are no univocal experimental conditions suitable for the storage of all formulation types, but each sample requires customized conditions. In any case, the results are encouraging and suggest the use of these nanosystems for applications as suitable carriers for several administrations.