Understanding Skin Morphology and Active Ingredient Penetration: Fundamentals for Topical Delivery

Understanding Skin Morphology and Active Ingredient Penetration: Fundamentals for Topical Delivery

Recently, I’ve come across countless articles, blogs, and product claims in the skincare and cosmetics industry that overlook the basic principles of skin morphology and topical delivery. Claims about “deep penetration” or “miracle ingredients” often fail to address the critical pathways and barriers involved. This glaring disconnect between scientific fundamentals and marketing narratives inspired me to write this piece. By revisiting the foundational aspects of skin penetration, we can bridge the gap between research and real-world application, ensuring that formulations are both effective and scientifically sound.

Misunderstanding the basics of skin morphology and active ingredient (AI) delivery often leads to ineffective formulations. This brief article is designed to guide researchers, doctors, chemists, and budding scientists toward a clearer understanding of the science behind dermal and transdermal delivery.


1. The Skin: A Complex Barrier and Delivery System

The skin, as the body's largest organ, serves dual roles: a protective barrier and a medium for targeted delivery of active pharmaceutical (API) or cosmetic ingredients (ACI). Understanding its structure is critical for effective dermal and transdermal applications.

2. Skin Morphology and Its Impact on Delivery

  • The skin is composed of two primary layers: the epidermis and the dermis, with the stratum corneum (SC) acting as the main barrier to penetration.
  • The epidermis houses keratinocytes, melanocytes, and immune cells, which play roles in API or ACI binding.
  • The dermis contains fibroblasts, sensory nerves, and blood vessels, which facilitate ingredient delivery to deeper tissues

3. Challenges in Percutaneous Penetration Studies

Detecting and quantifying the precise delivery of active ingredients to specific skin layers remains a significant challenge. Variability in donor skin samples further complicates penetration studies, necessitating reliable models like ex vivo Franz Diffusion Cell experiments.

4. Reliable Models for Skin Penetration

  • Porcine ear skin is widely regarded as a reliable analog for human skin in penetration studies.
  • Split-skin models (human and porcine) help reduce variability in studies.
  • Factors like hydrophilicity and lipophilicity of the ingredients significantly influence penetration behavior.

Routes of Skin Penetration

Active ingredients can penetrate the skin through three primary pathways:

  1. Intercellular route: Via the lipid matrix between cells.
  2. Transcellular route: Directly through cells.
  3. Follicular route: Through hair follicles.

Key Factors Influencing Penetration

  1. Stratum Corneum: A Lipophilic Barrier

  • The SC favors the passage of lipophilic (oil-loving) substances, making hydrophilic (water-loving) ingredients less likely to penetrate this layer.

2. Viable Epidermis and Dermis: Hydrophilic Phases

  • In contrast, the deeper layers of the epidermis and dermis are hydrophilic, allowing better penetration of hydrophilic substances once they pass through the SC.

3. Enhancing Skin Penetration

  • Ingredients like glycols and oleic acid are often used in formulations to enhance penetration.
  • Infinite dosing models allow researchers to evaluate active ingredient concentrations in skin layers for efficacy.

Conclusions

Understanding the interplay of physicochemical properties of active ingredients with the skin's morphology is essential for designing effective formulations. Addressing these basics ensures that APIs and ACIs achieve their intended therapeutic or cosmetic outcomes, paving the way for advancements in skincare science.

#TopicalDelivery #SkincareScience #DermatologyResearch #SkinPenetration #PharmaceuticalFormulation #ActiveIngredients

Manoj Jain

Director of R & D in Skincare, Haircare, Dermocosmetics, Perfumes, and Antimicrobial Technologies at Belle'Botanique Pty Ltd

1 个月

Krumpholz, L., Polak, S., & Wi?niowska, B. (2024). Computational Methods as Part of Scientific Research in Cosmetic Sciences—Are We Using the Opportunity??Cosmetics,?11(3), 79. https://doi.org/10.3390/cosmetics11030079 The paper concludes that the cosmetic science community is not fully leveraging the potential of mathematical models.?

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