ArticleInternational journal of cosmetic science2021
Penetration of different molecular weight hydrolysed keratins into hair fibres and their effects on the physical properties of textured hair.
Article in International journal of cosmetic science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 33 citations in OpenAlex.
- Bio-active designed peptide for hair keratin strengthening.International journal of cosmetic science · 2026Article
- Prevention of Hair Heat Damage via Thermoresponsive Organic Silicon-Modified Keratin.Molecules (Basel, Switzerland) · 2026Article
- Fermented grapeseed oil repairs chemically damaged hair via enhanced permeability mechanisms.Scientific reports · 2025Article
- Novel Compounds for Hair Repair: Chemical Characterization and In Vitro Analysis of Thiol Cross-Linking Agents.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Exploring the Functional Properties of Hydrolyzed Keratin: Filling the Knowledge Gap on Surface Active, Emulsifying, and Thickening Properties.ACS omega · 2025Article
- Composite Fish Collagen Peptide-Based Biopolymer Emulsion for Keratin Structure Stabilization and Hair Fiber Repair.Polymers · 2025Article
- Performance and Mechanism of Hydrolyzed Keratin for Hair Photoaging Prevention.Molecules (Basel, Switzerland) · 2025Article
- Utilizing Lipid Bond Technology With Molecular Lipid Complex to Provide Lipid Treatment for Damaged Hair.Dermatology research and practice · 2025Article
- Anti-Graying Effects of External and Internal Treatments with Luteolin on Hair in Model Mice.Antioxidants (Basel, Switzerland) · 2024Article
- Enzymatic Crosslinking of Amino Acids Improves the Repair Effect of Keratin on Hair Fibre.Polymers · 2023Article
- Recent Advancements in Natural Plant Colorants Used for Hair Dye Applications: A Review.Molecules (Basel, Switzerland) · 2022Review
- Improving the Mechanical Properties of Damaged Hair Using Low-Molecular Weight Hyaluronate.Molecules (Basel, Switzerland) · 2022Article
- Comparing hair tensile testing in the wet and the dry state: Possibilities and limitations for detecting changes of hair properties due to chemical and physical treatments.International journal of cosmetic science · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the effects of different molecular weight (MW), wool derived hydrolysed keratins (i.e. peptides) on the physical properties of relaxed textured hair.
methodsVery curly hair of African origin was relaxed using sodium hydroxide-based treatment. Relaxed hair was treated with different MW peptides derived from keratin protein and an amino acid, L-Leucine. The low-MW keratin peptides were 221 Da, the mid-MW keratin peptides were approximately 2577 Da, and the high-MW keratin peptides were approximately 75 440 Da. The penetration of these different peptides into relaxed hair was evaluated using a laser scanning micrometre and by fluorescence microscopy. The effect of these compounds on single-fibre mechanical properties and thermal properties was evaluated using tensile and DSC testing, respectively.
resultsLow- and mid-MW compounds were able to penetrate deep into the hair cortex. High-MW peptide adsorbed onto the hair surface and possibly slightly penetrated into the outer layers of the fibre surface. Both mid- and high-MW keratin peptides, increased Young's modulus and reduced hair breakage at 20% and 80% relative humidity. With the exception of mid-MW peptide, other peptides and amino acid were not able to modify thermal properties of relaxed textured hair.
conclusionsOur data suggest that low-MW compounds may increase hair volume, and high-MW peptides may repair damage on freshly relaxed textured hair.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.