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Genetic Algorithm for Opto-thermal Skin Hydration Depth Profiling Measurements

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Abstract

Stratum corneum is the outermost skin layer, and the water content in stratum corneum plays a key role in skin cosmetic properties as well as skin barrier functions. However, to measure the water content, especially the water concentration depth profile, within stratum corneum is very difficult. Opto-thermal emission radiometry, or OTTER, is a promising technique that can be used for such measurements. In this paper, a study on stratum corneum hydration depth profiling by using a genetic algorithm (GA) is presented. The pros and cons of a GA compared against other inverse algorithms such as neural networks, maximum entropy, conjugate gradient, and singular value decomposition will be discussed first. Then, it will be shown how to use existing knowledge to optimize a GA for analyzing the opto-thermal signals. Finally, these latest GA results on hydration depth profiling of stratum corneum under different conditions, as well as on the penetration profiles of externally applied solvents, will be shown.

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Acknowledgments

The authors thank London South Bank University and Unilever for the financial support. We also thank CVCP for the ORS award to student Y. Cui.

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Authors and Affiliations

  1. Faculty of ESBE, London South Bank University, 103 Borough Road, London , SE1 0AA, UK

    Y. Cui & Perry Xiao

  2. Biox Systems Ltd, 90 London Road, London , SE1 6LN, UK

    Perry Xiao & R. E. Imhof

Authors
  1. Y. Cui
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  2. Perry Xiao
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  3. R. E. Imhof
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Correspondence to Perry Xiao.

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Cui, Y., Xiao, P. & Imhof, R.E. Genetic Algorithm for Opto-thermal Skin Hydration Depth Profiling Measurements. Int J Thermophys 34, 1489–1498 (2013). https://doi.org/10.1007/s10765-013-1523-y

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  • DOI: https://doi.org/10.1007/s10765-013-1523-y

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