Quality control of cosmetic mixtures by NIR spectroscopy

Marcelo Blanco, Manel Alcalá, Joaquim Planells, Rufí Mulero

Research output: Contribution to journalArticleResearchpeer-review

19 Citations (Scopus)

Abstract

Cosmetic preparations typically consist of mixtures of various compounds of natural origin or their derivatives. Their analysis is made rather difficult by their usually high complexity and is utterly impossible with a single analytical method; also, there is usually little to be gained by determining every individual component of the mixture. Rather, analyses are aimed at ensuring a proper balance between the contents of each component and thus require the use of methods capable of delivering global information. The combined use of near-infrared (NIR) spectroscopy and multivariate spectral processing chemometric techniques has enabled the development of effective methods for establishing the composition of complex samples with acceptable levels of analytical properties, such as accuracy, precision and throughput. In this work, we developed partial least squares calibration models for the determination of each component in a cosmetic mixture, and global indices (viz. the hydroxyl value), simply from the NIR spectrum of the sample. The models thus obtained are accurate enough for use in quality control analyses of cosmetic preparations and provide an effective alternative to existing conventional global methods. [Figure not available: see fulltext.] © 2007 Springer-Verlag.
Original languageEnglish
Pages (from-to)1577-1583
JournalAnalytical and Bioanalytical Chemistry
Volume389
Issue number5
DOIs
Publication statusPublished - 1 Nov 2007

Keywords

  • Cosmetics
  • Multivariate calibration
  • Near-infrared spectroscopy
  • Quality control

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