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Skin Impedance Analysis for Drug Delivery: Integration of Poisson–Boltzmann–Nernst–Planck Model and Ebola Optimisation Algorithm Cover

Skin Impedance Analysis for Drug Delivery: Integration of Poisson–Boltzmann–Nernst–Planck Model and Ebola Optimisation Algorithm

By: L Maceal Tony and  R.S Shaji  
Open Access
|Dec 2025

Figures & Tables

Fig. 1.

Sequence of steps adopted in this research for drug delivery.

Fig. 2.

Spine–leaf resistor–capacitor circuit.

Fig. 3.

Flowchart of the proposed model for predicting drug penetration across various skin layers.

Fig. 4.

Flowchart of the Ebola Optimisation Algorithm for SLRC circuit parameter normalisation.

Fig. 5.

Visual representation of (a) Anatomical sites on the human body considered for iontophoretic drug delivery simulation. (b) Simulated drug concentration profiles across skin depths using the proposed model.

Fig. 6

(a) Skin impedance; (b) Electrotransport flux; and (c) Drug concentration derived from the electrotransport component with variation in skin depth.

Fig. 7.

Total drug concentration [μg/mm3] at different skin layers in current density [mA/cm2].

Fig. 8.

Analysis of the proposed model based on MAPE and R2 values across various body regions.

Fig. 9.

Performance analysis of the proposed model based on MAPE vs Frequency for TDD.

Fig. 10.

MAPE value comparison of different models for different body parts (a) Upper body regions and (b) Lower body regions.

Total drug concentration [mole/m3] with variations in current density (I, mA/cm2)_

I [mA/cm2]I = 0.1I = 0.2I = 0.4I = 0.5I = 1.0
SC140.12205.36329.85392.47710.29
Epidermis89.34132.19218.76261.42480.14
Dermis2.323.766.457.8415.08
Hypodermis1.632.423.894.518.12
Depth1.241.622.362.724.51

Impedance [Ω cm2] across different skin layers for all models_

LayerMontagueCPETregear-1Tregear-2SLRC (proposed)
SC8452.348339.128210.896543.786520.43
Epidermis6295.126203.986289.675082.344752.89
Dermis783.12710.45735.56850.92903.78
Hypodermis365.45285.67299.45522.34610.12
Depth8.210.120.00276.45371.54

Comparison analysis of the proposed SLRC circuit with existing models across various body parts_

MAPE values RscCTSFR2

Body partsMontagueCPETregear-1Tregear-2ProposedProposedProposedProposedProposed
Face0.6130.5310.6650.5820.48372.4760.4951.0000.945
Neck0.5610.3420.5850.5060.30917.4650.4960.9240.961
Shoulder0.5180.3200.5780.5010.28413.5840.4510.8700.964
Chest0.5010.3200.5640.5070.22510.0270.4470.8840.972
Belly0.5050.2560.5150.5190.25045.2680.3120.9980.968
Hip0.5200.2800.5280.4980.26138.9230.3150.9620.965
Back0.5050.2840.5460.4150.25015.3850.2860.9840.966
Ventral0.4940.3430.5560.5060.26823.9480.4710.9080.962
Dorsal0.4750.2720.4950.5120.28380.6380.3521.0000.958
Palm0.4940.2110.4720.4180.13418.2250.4410.8440.981
Knee0.4630.2970.4240.4950.25755.6870.3460.9750.969
Ankle0.5050.2660.5320.4830.22040.3150.4170.9030.974

Total drug concentration [mole/m3] across different skin layers for all models_

LayerMontagueCPETregear-1Tregear-2SLRC (proposed)
SC390.67387.12392.34418.12378.56
Epidermis328.45324.67326.12275.67260.78
Dermis7.126.897.346.127.45
Hypodermis3.892.873.234.455.34
Depth0.650.000.121.782.56

Comparison of different optimisation algorithms_

AlgorithmMAPER2Convergence time [s]
BO0.3070.96118.6
PSO0.2760.94814.1
GA0.2650.95412.5
EOA (ours)0.2340.9829.3

Electrotransport flux [μg/mm2s] across different skin layers for all models_

LayerMontagueCPETregear-1Tregear-2SLRC (proposed)
SC167.12162.34165.45139.87126.78
Epidermis125.87122.76123.56103.4595.34
Dermis17.1215.7816.4518.1217.89
Hypodermis7.126.456.8911.3413.56
Depth0.340.000.125.877.34

Mean and SD [Ω] of impedance for various body parts_

Body parts2 × 103 Hz4 × 103 Hz8 × 103 Hz

MeanSDMeanSDMeanSD
Face5.60 × 1031840.124.20 × 1031450.256.80 × 1032115.37
Neck1.02 × 1042155.207.85 × 1031780.551.12 × 1042401.28
Shoulder1.10 × 1042250.308.20 × 1031720.451.18 × 1042435.12
Chest1.25 × 1042445.419.05 × 1031865.331.34 × 1042560.11
Belly1.30 × 1042235.759.50 × 1031900.251.38 × 1042710.32
Hip1.18 × 1042145.888.70 × 1031805.401.26 × 1042605.45
Back1.12 × 1042140.828.50 × 1031775.551.22 × 1042525.87
Ventral1.25 × 1042195.659.20 × 1031825.751.32 × 1042650.20
Dorsal1.50 × 1042280.341.05 × 1041950.451.60 × 1042755.30
Palm1.75 × 1042370.121.20 × 1042050.501.85 × 1042855.20
Knee1.45 × 1042200.551.00 × 1041850.151.55 × 1042705.75
Ankle1.60 × 1042335.221.12 × 1041955.401.70 × 1042800.35

Comparison evaluation: State-of-the-art models vs the Proposed model_

ReferenceR2MAPEComplexityTraining time [s]Inference time [ms]
[28]0.810.492O(n2)18050
[29]0.840.478O(n2)24060
[6]0.760.529O(n2)30070
[8]0.790.507O(n2 log n)22065
Proposed0.960.134O(n log n)9520
Language: English
Page range: 347 - 357
Submitted on: Mar 12, 2025
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Accepted on: Jul 25, 2025
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Published on: Dec 23, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2025 L Maceal Tony, R.S Shaji, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.