STATISTICAL OPTIMIZATION OF TOPICAL CREAM CONTAINING VITAMIN D3 NANOPARTICLES FOR ANTI-AGING EFFECT: BOX-BEHNKEN DESIGN
HTML Full TextSTATISTICAL OPTIMIZATION OF TOPICAL CREAM CONTAINING VITAMIN D3 NANOPARTICLES FOR ANTI-AGING EFFECT: BOX-BEHNKEN DESIGN
S. Aiswarya * and K. Reshma Fathima
Department of Pharmaceutics, Grace College of Pharmacy, Palakkad, Kerala, India.
ABSTRACT: Aging is defined as decreased maximal function and reserve capacity in all body, organs, resulting in an increased likelihood of disease and death. One of the reasons for Premature Aging is deficiency of Vitamin D3. The main aim of the research work is to develop and evaluate the Nanoparticle based Anti-aging cream of Vitamin D3 for Premature aging. Six formulations were prepared by Nano precipitation method using Poloxamer 407 as polymeric stabilizer. It was then incorporated into cream base. FT-IR studies were carried out to determine the drug-excipient compatibility. The prepared Nano-suspension was subjected to evaluations including particle size, zeta potential, drug entrapment efficiency and drug content. The formulated cream was tested for pH, Spreadability, Viscosity and in-vitro drug release. From the preliminary trial, F4 was found to be the best formulation. It was then fitted to Box-Behnken design with three independent variables including concentration of Stearic acid (X1), KOH (X2), Glycerine (X3) and two dependent variables – Spreadability (Y1) and In-vitro drug release (Y2). Among the 15 runs, R2 was found to be the optimized formulation. Stability studies revealed there is no change in the spreadability and ex-vivo permeation from the cream base. The optimized Vitamin D3 loaded nanoparticle anti-aging cream provides satisfactory release with improved therapeutic effect.
Keywords: Aging, Vitamin D3, Nanoparticle, Topical cream, Box-Behnken design
INTRODUCTION: Skin, like any other organs, usually undergoes progressive decline in its physiological, morphological, and functional features during aging. The phenomenon of aging is common, natural and genetically predisposed 1 .Aging process is classified into two distinct types, i.e. “sequential skin aging” process and “photo-aging” process. Sequential skin aging is universal and predictable process which is often characterized by physiological alteration in the skin functions. On the other hand, photo aging is caused by over exposure to UV rays emitted from sunlight.
It is characterized by the appearance of dry, pale and shallow skin, displaying fine wrinkles as well as deep furrows caused by the disorganization of epidermal and dermal components associated with elastosis and helio dermatitis 2. Vitamin D is the sunshine vitamin which has been produced on this earth for more than 500 million years. During exposure to sunlight 7-dehydrocholesterol in the skin absorbs UV B radiation and is getting converted to pre vitamin D3 which in turn isomerizes into Vitamin D3.
Pre vitamin D3 and Vitamin D3 also absorbs UV B radiation and are converted into a wide variety of photoproducts some of which have unique biologic properties 3. Telomeres are the tail ends of linear chromosomes, of several thousand bases in length that comprises of tandem repetitive DNA sequences. The presence of telomeric repeats protects the chromosome from photo degradation or fusion. It has also been determined that the length of telomeres reduces by up to 150 base pairs during every cell division. When telomeres become ‘critically shorter, cells enter proliferative senescence and thus telomeres appear to serve as the biologic clock of skin aging process, informing cells that they are young or old 3, 4 . Although VD3 effectively prevents skin photo aging process, it is sensitive to air, light and high temperature, which is not conducive to storage, transportation and use. VD3 also rapidly degrades in the traditional carrier such as water/ethanol5. Nanotechnology may cause a significant impact on drug delivery systems. The drug loading allows the optimization parameters in controlled drug delivery. By encapsulation of potential drugs inside Nano carriers it is possible to intensify their therapeutic index by enhancing their drug release time and also their pharmacokinetic profile. Besides, the solubility and the stability of the drug is improved. Vitamin D is lipo-soluble; thus, it is essential to enhance its solubility in water 6, 7. In this research, we optimized the nanoparticle formulation of VD3 cream using Box-Behnken design to improve encapsulation efficiency (EE %) and to enhance transdermal absorption and stability of VD3.
MATERIALS AND METHOD:
Materials: Vitamin D3 pure was purchased from Supreem Pharmaceuticals Mysore Pvt Ltd. Ethyl cellulose, Poloxamer 407, Acetone, Stearic acid, Lanolin, Glycerine, Triethanolamine, Methyl Paraben, Propyl Paraben and Rose oil were purchased from Yarrow Chem Products, Mumbai. All other chemicals and reagents were of analytical grade.
Drug-excipient Compatibility Studies: The compatibility of Vitamin D3 with Ethyl cellulose and Poloxamer-407 were analysed with Fourier Transform Infrared Spectroscopy (FT-IR) at transmittance mode over wave number range of 4000 to 400cm-18.
Method of Preparation:
Procedure for Preparation of Vitamin D3 Loaded Nano-suspension: The Nano suspension loaded with Vitamin D3 was prepared by Nano precipitation technique using Poloxamer 407 as polymeric stabilizer 9. The previously formulated organic phase was injected to the magnetically stirred aqueous stabilizer solution, and subjected to probe sonication. The first three formulations were prepared with drug: polymer ratio as 1:1, 1:5, 1:10 keeping the polymeric stabilizer 0.25g. The next three formulations were prepared with drug: polymer ratio as 1:1, 1:5, 1:10 keeping the polymeric stabilizer 0.50g. The prepared Nano suspension were subjected to evaluation parameters like entrapment efficiency, drug content, particle size determination, and zeta potential.
TABLE 1: COMPOSITION OF VITAMIN D3 LOADED NANO-SUSPENSION
Sl. no. | Ingredients | Formula (g) | |||||
F1 | F2 | F3 | F4 | F5 | F6 | ||
1. | Vitamin D3 | 0.025 | 0.025 | 0.025 | 0.025 | 0.025 | 0.025 |
2. | Ethyl Cellulose | 0.025 | 0.125 | 0.25 | 0.025 | 0.125 | 0.025 |
3. | Poloxamer 407 | 0.025 | 0.025 | 0.025 | 0.050 | 0.050 | 0.050 |
4. | Acetone | 2mL | 2mL | 2mL | 2mL | 2mL | 2mL |
Formulation of Vitamin D3 loaded Nanoparticle Cream: The formulated Vitamin D3 loaded nanoparticles were then uniformly dispersed in the cream base by mechanical stirring for 30 min to get nanoparticle loaded cream. Evaluations including pH, Viscosity, Spreadability, In-vitro drug release and Ex-vivo permeation studies were performed.
TABLE 2: COMPOSITION OF VITAMIN D3 NANOPARTICLE CREAM
Sl. no. | Ingredients | Quantity(g) | Category |
1. | Stearic Acid | 18g | Emulsifying agent |
2. | Lanolin | 2g | Emollient |
3. | Glycerin | 3ml | Humectant |
4. | Triethanolamine | 1ml | Emulsifying agent |
5. | Methyl Paraben | 0.18g | Preservative |
6. | Propyl Paraben | 0.02g | Preservative |
7. | Rose Oil | q.s | Perfume |
8. | Distilled water | 75.8ml | Solvent |
Optimization of Vitamin D3 Loaded Nanoparticle Cream: Response surface methodology is employed to develop and statistically optimize the drug delivery systems. Box-Behnken statistical design is an independent, rotatable or nearly rotatable, quadratic design 10. The treatment combinations are placed at the midpoints of the edges and at the centre of the process space. This design requires less experimental runs and time. Therefore, it is considered as a cost-effective technique than other usual processes of formulation and optimization of dosage forms. Vitamin D3 Nanoparticle cream was statistically optimized using Box Behnken experimental design using Minitab of 3- factor 3 –level wherein 15 formulations were developed.
Characterization of Vitamin D3 Loaded Nano suspension
Entrapment Efficiency: For determination of drug entrapment, the amount of drug present in the clear supernatant after centrifugation was determined (w) by UV spectrophotometer at 265 nm.
Percentage entrapment efficiency = Total drug (W) - Drug in supernatant liquid (w) / Total drug (W) ×100
Drug Content: After the centrifugation of Nano suspension, 5 mL of supernatant was diluted with 100 mL methanol, and the amount of unbound drug was measured by taking the absorbance of the diluted supernatant solution at λmax=265 nm.
Drug content = Total amount of drug- amount of unbound drug / Total amount of drug initially taken × 100
Determination of Particle size, Zeta Potential and Poly Dispersity Index: Particle size was calculated by using Malvern size analyser. For a stable Nano suspension, it should have low particle size and higher zeta potential.
Primary Evaluation of Polymeric Nanoparticle Cream:
Appearance and Homogeneity: Visually, cream was inspected in terms of colour, texture, phase separation as well as grittiness.
Determination of pH: The Digital pH meter was calibrated using standard buffer solution. About 0.5 g of cream was weighed and dissolved in 50.0 ml of distilled water and its pH was measured.
Determination of Viscosity: The viscosity of Nano cream was determined using Brookfield viscometer using spindle 4. Spindle was allowed to move freely in the cream and reading was recorded. All measurements were made in triplicate using fresh sample each time.
Determination of Spreadability: An excess amount of cream was placed between the glass slide and a 100g weight was placed on to the glass slide so as to compress the sample to a uniform thickness. The weight was then removed and weight was placed into the upper pan and time taken to completely separate the two slides was recorded. Spreadability was then calculated by following formula 11.
Spreadability = M.L / T
Where, S = Spreadability in g.cm/s, M = Weight tied to upper slide, L = Length of glass slide, T = Time in seconds
In-vitro Drug Release: The Vitamin D3 loaded topical cream was permeated through an artificial cellophane membrane. 3g of topical cream was placed in the donor compartment. The receptor medium was filled with pH 6.8 Phosphate buffer. Samples were analysed spectrophotometrically at 265nm.
Optimization of Nanoparticle Cream:
TABLE 3: LAYOUT OF INDEPENDENT VARIABLES FOR OPTIMIZATION
Factors (Independent Variables | Levels | ||
+1 | 0 | -1 | |
X1 (Concentration. of Stearic acid) | 20 | 18 | 16 |
X2 (Concentration. of Glycerin) | 5 | 3 | 2 |
X3 (Concentration of KOH) | 0.15 | 0.10 | 0.05 |
TABLE 4: LAYOUT AND RESULTS OF VITAMIN D3 LOADED NANOPARTICLE CREAM-DEPENDENT VARIABLES
Runs | X1 | X2 | X3 | Y1 | Y2 |
R1 | -1 | -1 | 0 | 5.00±0.10 | 59.21 |
R2 | 1 | -1 | 0 | 5.96±0.32 | 62.50 |
R3 | -1 | 1 | 0 | 4.72±0.13 | 52.82 |
R4 | 1 | 1 | 0 | 6.15±0.21 | 61.66 |
R5 | -1 | 0 | -1 | 6.95±0.16 | 65.23 |
R6 | 1 | 0 | -1 | 6.00±0.43 | 58.02 |
R7 | -1 | 0 | 1 | 5.80±0.76 | 59.73 |
R8 | 1 | 0 | 1 | 4.91±0.42 | 62.66 |
R9 | 0 | -1 | -1 | 6.20±0.33 | 58.35 |
R10 | 0 | 1 | -1 | 6.61±0.42 | 60.82 |
R11 | 0 | -1 | 1 | 5.35±0.71 | 64.43 |
R12 | 0 | 1 | 1 | 6.92±0.16 | 62.53 |
R13 | 0 | 0 | 0 | 6.31±0.07 | 57.95 |
R14 | 0 | 0 | 0 | 5.50±0.11 | 60.32 |
R15 | 0 | 0 | 0 | 4.95±0.31 | 63.52 |
Note: Y1=Spreadability (gm.cm/sec), Y2= In-vitro drug release (%).
Characterisation of Optimised Formulation:
Drug Release Kinetics: In-vitro release data of optimized formulation (R5) was analysed by various kinetic models like Zero order (C=k0t), first order (Log C= Log C0 – kft/2.303), Higuchi’s model (Q=Kt1/2) and Korsemeyer Peppas model (MtMN= Ktn) to check the release pattern and mechanism of drug release of the prepared formulation.
Ex-vivo Absorption Study: The goat skin was cut into small circular pieces and allowed to hydrate. It was then mounted carefully onto the diffusion cell facing the donor compartment. After clamping the donor and receiver compartments together, the receiver compartment was filled with pH 6.8 Phosphate buffer and magnetically stirred. The samples were withdrawn at various time intervals was analysed by UV spectrophotometer at 265nm.
Scanning Electron Microscopy: The morphology of the optimized nanoparticles (R2) was analysed using SEM (S-4800, Hitachi technologies corporation, Japan). The scanning electron microscope is operated at an acceleration voltage of 1.5kv 12.
Stability Study: A short term (1month) stability studies were performed for the final optimized best formulated topical cream loaded with Vitamin D3 Nanoparticles. The temperature was maintained at 40°C/75% RH. Entrapment efficiency and in-vitro drug release study was performed.
RESULT AND DISCUSSION: The results of the study indicate FT-IR spectrum of drug and excipients did not differed with major peaks of Vitamin D3, i.e; all the major peaks of the drug appeared on the blend indicate that there is no possible interaction between drug and excipients. The Nanoparticles were prepared by Nano precipitation technique and then incorporated into cream. The λ max of the formulation was found to be 265 nm using pH 6.8 Phosphate buffer. The melting point of the pure drug was found to be 85°C. The prepared Nanoparticle suspension was subjected to primary evaluation studies. The particle size was in the range of 150-780nm. The least size was in the F4 formulation due to the less amount of (0.025g Ethyl cellulose), because the polymers tends to swell when comes to contact with the aqueous phase. The zeta potential values were in the range of -26 mV to -14.28 mV. The entrapment efficiency of the formulations were in the range of 68.17–85.60 %. When concentration of polymer is increased, the platform for binding the drug to the core is increasing. The F4 formulation was found to have the best drug content of 86.4%.
FIG. 1: FT-IR SPECTRUM OF VITAMIN D3 PURE
FIG. 2: FT-IR SPECTRUM OF VITAMIN D3 + ALL EXCIPIENTS (ETHYL CELLULOSE+ STEARIC ACID)
TABLE 5: RESULTS OF EVALUATION PARAMETERS
S. no. | Parameters | Formulation Code | |||||
F1 | F2 | F3 | F4 | F5 | F6 | ||
1. | Appearance and homogeneity | White, smooth and homogenous | White, smooth and homogenous | White, smooth and homogenous | White, smooth and homogenous | White, smooth and homogenous | White, smooth and homogenous |
1. | pH | 5.6±0.8 | 6.1±0.1 | 6.4±0.6 | 6.6±0.4 | 5.8±0.2 | 5.9±0.3 |
2. | Viscosity (Cp) | 1256 ± 6 | 1459±3 | 2481±2 | 1459±7 | 2830±4 | 3026±2 |
3. | Entrapment efficiency (%) | 64.17±0.5 | 71.65±0.4 | 73.17±0.1 | 86.02±0.6 | 78.21±0.2 | 84.42±0.4 |
4. | Particle size (nm) | 642 ± 3 | 521.4 ± 2 | 480.7 ± 5 | 266.9 ± 4 | 715.5 ± 6 | 589.2 ± 7 |
5. | Polydispersibility Index | 0.698±0.21 | 0.731±0.43 | 0.819±0.11 | 0.606±0.80 | 0.883±0.60 | 0.757±0.82 |
6. | Zeta Potential (mV) | -19.8±0.41 | -16.5±0.22 | -18.11±0.57 | -26.6±0.68 | -14.28±0.96 | -20.78±0.43 |
7. | Drug content (%) | 74.3±0.34 | 76.2±0.51 | 77.9±0.29 | 86.4±0.72 | 84.2±0.11 | 84.9±0.50 |
8. | Spreadability (g.cm/sec) | 5.0±0.61 | 5.96±0.25 | 4.72±0.87 | 6.95±0.44 | 6.0±0.36 | 6.15±0.82 |
9. | In-vitro drug release (%) | 47.91 | 48.99 | 50.21 | 58.95 | 56.99 | 57.09 |
The formulated cream was smooth in texture with no grittiness. pH of all the formulations were in the range of 5.6-6.6, thus non-irritating to the skin surface. F4 exhibited maximum spreadability of 6.95g.cm/sec. The in-vitro drug release of the F4 formulation was found to be 58.95% at the end of 8hrs. Rheological studies were performed through Brookfield Viscometer and an inverse relation was observed between shear and viscosity. This type of behaviour is termed as shear thinning behaviour.
FIG. 3: SCANNING ELECTRON MICROSCOPIC IMAGE OF OPTIMIZED FORMULATION R2
FIG. 4: EX-VIVO PERMEATION STUDIES OF OPTIMIZED FORMULATION (R2)
FIG. 5: CONTOUR PLOT OF (A) SPREADABILITY (B) IN-VITRO DRUG RELEASE SURFACE PLOT OF (C) SPREADABILITY (D) IN-VITRO DRUG RELEASE
From the preliminary evaluation studies, F4 was found to be the best formulation. F4 was then fitted into Box-Behnken design 15. Formulations were prepared to determine the effect of independent variables of Concentration of Stearic acid (X1) and Concentration of Glycerine (X2) and Concentration of KOH (X3) on the Spreadability (Y1) and in-vitro drug release (Y2) profile.
Effect on Spreadability (Y1):
Spreadability = -9.2+ 2.12 X1 -0.87 X2-63.5 X3-0.061 X1*X2 + 0.029 X2 * X2 +228 X3* X3 + 0.029 X1 * X2 + 0.12 X1* X3 + 2.90 X2* X3.
The equation reveals that there is a significant effect (p = 0.001) of the Concentration of stearic acid, KOH, Glycerine on the Spreadability. The thermo physical behaviour of the cream was found to be dependent on the proportion of independent variables. Greater the concentration of Stearic acid and KOH, smaller the Spreadability. Increased concentration of glycerine resulted in increased Spreadability.
Effect on In-vitro Drug Release:
In-vitro drug release = 46+ 4.9 X1 -4.50 X2-538 X3-0.221 X1* X1-0.166 X2* X2 + 679 X3* X3 + 0.347 X1*X2 + 25.3 X1* X3 -11.9 X2* X3
The equation reveals that there is significant effect (p = 0.02) on the Concentration of Stearic acid and KOH while the Glycerine concentration does not influence the drug release pattern from cream. The optimized formulation R2 was subjected to kinetic study, Ex-vivo study, SEM and stability study. The kinetic study indicates that the formulation is controlled release with Case II transport as the n value was found to be 0.650. Scanning Electron Microscopic image indicated that particles are spherical with smooth surface. Stability study showed that there are no significant changes in the dissolution pattern. The results of the Box Behnken design revealed that R2 formulation exhibited better therapeutic effect against premature aging.
CONCLUSION: Vitamin D3 effectively prevents photo aging but needs to be additionally supplied for skin protection. Among the six formulations prepared, was found to be the best with a particle size of 200nm, Zeta Potential of -27.35mV, Ex-vivo permeation of 85.41% at the end of 8 hrs.
The formulated cream was found to be non-irritant, homogenous with improved therapeutic activity.
ACKNOWLEDGEMENTS: The author would like to thank Grace College of Pharmacy, Palakkad, Kerala for their kind support during the lab studies.
CONFLICTS OF INTEREST: The authors have reported no conflicts of interest regarding this investigation.
REFERENCES:
- Pająk J, Nowicka D and Szepietowski JC: Inflammaging and Immunosenescence as Part of Skin Aging A Narrative Review. International Journal of Molecular Sciences 2023; 24(9): 7784.
- Zhang X, Xu J, Ma M, Zhao Y, Song Y, Zheng B, Wen Z, Gong M and Meng L: Heat‐killed Lactobacillus Rhamnosus ATCC 7469 Improved UVB‐Induced Photoaging via Anti‐Wrinkle and Anti‐Melanogenesis Impacts. Photochemistry and Photobiology 2023.
- Ismailova A and White JH: Vitamin D, infections and immunity. Reviews in Endocrine and Metabolic Disorders 2022; 1-3.
- Alnakhibi TA: Vitamin D controls cancer by regulating telomere and telomerase. Indian Journal of Health Sciences and Care 2022; 9(1): 24-9.
- Fantini C, Corinaldesi C, Lenzi A, Migliaccio S and Crescioli C: Vitamin D as a Shield against Aging. International Journal of Molecular Sciences 2023; 24(5): 4546.
- Bi Y, Xia H, Li L, Lee RJ, Xie J, Liu Z, Qiu Z and Teng L: Liposomal vitamin D3 as an anti-aging agent for the skin. Pharmaceutics 2019; 11(7): 311.
- Olii AT, Nugroho AK and Martien R: Effect of Ratio Span 60-Cholesterol on the Characteristic of Niosomes Vitamin D3. Research Journal of Pharmacy and Technology 2022; 15(12): 5551-5554.
- Afreen U, Fahelelbom KM, Shah SN, Ashames A, Almas U, Khan SA, Yameen MA, Nisar N, Asad MH and Murtaza G: Formulation and evaluation of niosomes-based chlorpheniramine gel for the treatment of mild to moderate skin allergy. Journal of Experimental Nanoscience 2022; 17(1): 467-95.
- Malviya T, Tandon PK, Gupta MK, Singh V and Tripathi DN: Simple nanoprecipitation method for size-restricted synthesis of aloevera nanoparticles: Characteristic analysis and its application as an adsorbent. Journal of the Indian Chemical Society 2022; 99(2): 100306.
- Rapalli VK, Tomar Y, Sharma S, Roy A and Singhvi G: Apremilast loaded lyotropic liquid crystalline nanoparticles embedded hydrogel for improved permeation and skin retention: An effective approach for psoriasis treatment. Biomedicine & Pharmacotherapy 2023; 162: 114634.
- Agrawal M, Saraf S and Pradhan M: Design and optimization of curcumin loaded nano lipid carrier system using Box-Behnken design. Biomedicine & Pharmacotherapy 2021; 141: 111919.
- Mukherjee Shubham, Ash Dipanjana and Majee SB: Comparative study of Span 40 and Span 60 based soy-gels for topical drug delivery. Asian J Pharm Clin Res 2019; 12(6): 259-265.
- Modi D, Nirmal J and Warsi MH: Formulation and development of tacrolimus-gellan gum nanoformulation for treatment of dry eye disease. Colloids and Surfaces B Biointerfaces 2022; 211: 112255.
How to cite this article:
Aiswarya S and Fathima KR: Statistical optimization of topical cream containing vitamin D3 nanoparticles for anti-aging effect: box-behnken design. Int J Pharm Sci & Res 2023; 14(11): 5319-25. doi: 10.13040/IJPSR.0975-8232.14(11).5319-25.
All © 2023 are reserved by International Journal of Pharmaceutical Sciences and Research. This Journal licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Article Information
25
5319-5325
637 KB
250
English
IJPSR
S. Aiswarya * and K. Reshma Fathima
Department of Pharmaceutics, Grace College of Pharmacy, Palakkad, Kerala, India.
aiswaryasreedharan01@gmail.com
16 March 2023
08 May 2023
31 May 2023
10.13040/IJPSR.0975-8232.14(11).5319-25
01 November 2023