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Response Surface Methodology-Guided Optimization of Flucytosine Nanoemulsion for Enhanced Antifungal Performance Cover

Response Surface Methodology-Guided Optimization of Flucytosine Nanoemulsion for Enhanced Antifungal Performance

Open Access
|Jun 2026

Figures & Tables

Table 1.

Variables in Box–Behnken design

Factor Independent variablesLevels used
−10+1
Amount of oil (mL) (X1)51015
Smix (X2)1.01.52.0
Homogenization Time (min) (X3)202530
Dependent variablesConstraints
Particle size (nm) (Y1)Minimize
PDI (Y2)Minimize
Entrapment Efficiency (%) (Y3)Maximize
Table 2.

Composition and observed responses in Box–Behnken design

BatchDrug (mg)Independent VariablesDependent variables
A: Amount of Oil (ml) (X1)Smix (X2)Homogenization Time (min) (X3)Particle Size (nm)PDI%EE
110051.5302690.14179.81
2100101302240.10696.01
310051.5202780.13371.12
4100101.5252290.11285.89
510052252570.14871.89
610051252710.14172.45
7100151252020.11784.31
8100151.5202030.10586.93
9100152251970.11689.18
10100101202190.11991.43
11100102302180.12192.87
12100101.5252150.11282.16
13100151.5301980.10984.57
14100102202110.10490.79
15100101.5252220.11587.11
16100101.5252170.11184.94
17100101.5252120.1186.91
Figure 1.

UV Spectrum of Flucytosine

Figure 2.

FTIR Spectrum A. Flucytosine (Pure drug), B. Flucytosine with Propylene Glycol and C. Flucytosine with Tween 80

Figure 3.

XRD of Flucytosine

Figure 4.

(A) Response 3D plots and Cube plots for the effect of amount of oil (X1), Smix(X2) and homogenization time (X3) on particle size, (B) Response 3D plots and Cube plots for the effect of amount of oil (X1), Smix(X2) and homogenization time (X3) on PDI, and (C) Response 3D plots and Cube plots for the effect of amount of oil (X1), Smix(X2) and homogenization time (X3) on % EE

Table 3.

Characterization Parameters of Flucytosine Nanoemulsions

FormulationZeta Potential (mV)pHDrug Content
F1−14.2 ± 1.36.41 ± 0.0491.2 ± 1.5
F2−16.1 ± 1.46.46 ± 0.0392.6 ± 1.4
F3−17.8 ± 1.26.52 ± 0.0293.8 ± 1.3
F4−19.6 ± 1.36.58 ± 0.0395.1 ± 1.2
F5−21.4 ± 1.16.63 ± 0.0296.4 ± 1.1
F6−23.1 ± 1.46.69 ± 0.0397.6 ± 1.0
F7−27.6 ± 1.26.75 ± 0.0298.5 ± 0.8
F8−29.1 ± 1.36.82 ± 0.0397.0 ± 0.7
F9−31.5 ± 1.16.88 ± 0.0296.3 ± 0.6

[i] Values are expressed as mean ± SD (n = 3).

Figure 5.

TEM of Optimized Flucytosine Nanoemulsion (F7)

Figure 6.

In-vitro drug release profile of various batches of nanoemulsion formulations

Figure 7.

In-vitro drug release kinetics of Optimized Flucytosine nanoemulsion

Table 4.

Coefficient of determination (R2) values for different kinetic models for the optimized flucytosine nanoemulsion formulation (F7)

Kinetic ModelCoefficient of determination (R2)
Zero Order0.8977
Frist Order0.9978
Higuchi Model0.9898
Korsmeyer-Peppas0.9786
Table 5.

Antifungal Activity of Flucytosine Nanoemulsion by Zone of Inhibition

SampleZone of Inhibition (mm)
Flucytosine Solution14.2 ± 0.8
Flucytosine Nanoemulsion (F7)22.6 ± 1.1
Blank NanoemulsionNo zone
Standard Antifungal (Fluconazole)24.1 ± 0.9
Table 6.

Stability studies result of optimized formulation (F7)

Storage ConditionTime (Months)AppearanceParticle Size (nm)PDIZeta Potential (mV)pH% EEDrug Content (%)
Initial0Clear, homogeneous104.3 ± 1.90.15 ± 0.01−27.6 ± 1.26.75 ± 0.0294.8 ± 1.198.5 ± 0.8
4 ± 2 °C1No change105.1 ± 2.10.16 ± 0.01−27.2 ± 1.36.74 ± 0.0394.2 ± 1.298.1 ± 0.9
2No change106.4 ± 2.30.17 ± 0.02−26.9 ± 1.46.73 ± 0.0393.6 ± 1.497.8 ± 1.0
3No change107.2 ± 2.50.18 ± 0.02−26.5 ± 1.56.72 ± 0.0492.9 ± 1.697.4 ± 1.1
25 ± 2 °C / 60 ± 5% RH1No change106.3 ± 2.40.17 ± 0.01−26.8 ± 1.36.73 ± 0.0393.8 ± 1.397.9 ± 0.9
2No change108.5 ± 2.60.18 ± 0.02−26.2 ± 1.46.71 ± 0.0492.7 ± 1.597.2 ± 1.1
3No change110.2 ± 2.90.19 ± 0.02−25.6 ± 1.66.69 ± 0.0591.8 ± 1.796.6 ± 1.2
40 ± 2 °C / 75 ± 5% RH1No change109.6 ± 2.80.19 ± 0.02−25.9 ± 1.46.70 ± 0.0492.4 ± 1.696.9 ± 1.2
2Slight turbidity112.8 ± 3.10.21 ± 0.02−25.1 ± 1.66.68 ± 0.0591.2 ± 1.896.1 ± 1.3
3Slight turbidity116.5 ± 3.40.23 ± 0.03−24.3 ± 1.76.65 ± 0.0689.7 ± 2.095.4 ± 1.5
DOI: https://doi.org/10.2478/afpuc-2026-0002 | Journal eISSN: 2453-6725 (formerly 1338-6786) | Journal ISSN: 0301-2298
Language: English
Page range: 19 - 33
Submitted on: Aug 22, 2024
Accepted on: Oct 8, 2024
Published on: Jun 24, 2026
Published by: Comenius University in Bratislava, Faculty of Pharmacy
In partnership with: Paradigm Publishing Services
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© 2026 Priya Tiwari, Shipra Verma, Gajendra Saini, published by Comenius University in Bratislava, Faculty of Pharmacy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.