Abstract
Objective: This research investigates how particle parameters, such as zeta potential, size, functional group, material composition, and hydrophobicity affect their affinity and deposition of particles onto hair. Methods: Streaming potential was used as the technique for analysis. The streaming potential data obtained was then converted to surface coverage data. Scanning electron microscopy (SEM) was also done to visualize particle localization on the hair surface. Results: This study found stronger particle affinity on healthy than on damaged (oxidatively bleached) hair, due to diminished interaction sites from the removal of the hair shaft's external lipid layer. SEM imaging supported these findings and offered insights into particle localization. Hydrophilic silica particles accumulated along the exposed hydrophilic cuticle edges of healthy hair, due to hydrogen bonding with the exposed endocuticle. This localization is hypothesized to be due to the limited hydrophilic binding sites on the hydrophobic healthy hair cuticle surface. In damaged hair, an abundance of hydrophilic sites across the cuticle surface results in more dispersed binding. Hydrogen bonding and electrostatic attraction were shown to be the predominant forces influencing deposition, with hydrophobic interactions playing a less influential role. The affinity studies also proved that electrostatic attractions work over a longer range and are more effective at lower particle conditions compared with hydrogen bonding which only start to play a bigger role at higher particle concentrations. Steric hindrance of bulky side groups acted as a significant repulsive force. Results also revealed that larger particles deposit poorly on both healthy and damaged hair compared with smaller ones. Compared with neutrally charged silica nanoparticles (SN-2), positively charged PMMA particles (PN+16) have a stronger affinity to healthy hair, with highly charged particles (PN+49) depositing most rapidly. Conclusion: This study provides a fundamental understanding of how particle–surface parameters influence their affinity to hair and how damaging hair affects deposition.
| Original language | English |
|---|---|
| Pages (from-to) | 58-72 |
| Number of pages | 15 |
| Journal | International Journal of Cosmetic Science |
| Volume | 47 |
| Issue number | 1 |
| Early online date | 12 Aug 2024 |
| DOIs | |
| Publication status | Published - Feb 2025 |
Funding
The authors would like to thank Lam Yuen In for his assistance with Python code, Dr Giorgia Pastorin for her help in vetting the manuscript and Dr Thomas Luxbacher for technical advice. This project was funded by RIE2020 Advanced Manufacturing and Engineering (AME) Industry Alignment Fund \u2013 Pre Positioning (IAF\u2010PP) Grant number A20G1a0046 and BMRC Central Research Fund (CRF\u2010ATR) Award. The authors would like to thank Lam Yuen In for his assistance with Python code, Dr Giorgia Pastorin for her help in vetting the manuscript and Dr Thomas Luxbacher for technical advice. This project was funded by RIE2020 Advanced Manufacturing and Engineering (AME) Industry Alignment Fund \u2013 Pre Positioning (IAF-PP) Grant number A20G1a0046 and BMRC Central Research Fund (CRF-ATR) Award.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- delivery
- deposition
- formulation/stability
- hair treatment
- kinetics
- nanoparticles
- Silicon Dioxide/chemistry
- Microscopy, Electron, Scanning
- Humans
- Static Electricity
- Hair/chemistry
- Particle Size
- Surface Properties
- Hydrophobic and Hydrophilic Interactions
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