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Unveiling the potential of confocal raman spectroscopy in the analysis of oil permeation in human hair fibers

  • Liliane Trivellato Grassi*
  • , Vera Mileide Trivellato Grassi
  • , Lazaro Pinto Medeiros Neto
  • , Ritiane M. de Almeida
  • , Gustavo C. da Silva
  • , Claudio Andrés Téllez Zepeda
  • , Vamshi Krishna Tippavajhala
  • , Airton A. Martin*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Hair is subject to damage, and the challenge is to find oils that can permeate the hair fiber to its inner layers, providing protection. This study aimed to analyze the permeation of copaiba, andiroba, and coconut oils into human hair fibers using confocal Raman spectroscopy (CRS). Materials and methods: Five untreated hair fibers (control) and five treated fibers were used, with 10 μl of each oil applied to the treated fibers. Raman spectra were collected before and after 30 minutes of treatment, from the surface to a depth of 40 μm. Data preprocessing involved removing fluorescence, smoothing, and vector normalization. After data processing, biochemical characterization, identification of marker peaks, and calculation of the area under the curve were performed to detect the permeation profile of each oil. Results: Quantification of the permeated oil concentration showed a similarity between the permeation of copaiba oil (30.14 a.u.) and coconut oil (27.85 a.u.), both reaching the deepest layer of the fiber (medulla). Andiroba oil also permeated to the deepest layer but showed a lower concentration (14.09 a.u.). These differences in concentration (a.u.) can be attributed to the biochemical composition of the oils, especially concerning the degree of saturation. Conclusions: Therefore, the CRS technique demonstrated that all three oils permeated to the innermost layer of the hair fiber, providing greater insight into their permeation capacity. This knowledge allows for their varied use in the industry, including for the recovery of damaged hair, making it healthier.

Original languageEnglish
Pages (from-to)781-792
Number of pages12
JournalResearch on Biomedical Engineering
Volume40
Issue number3-4
DOIs
Publication statusPublished - 10-2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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