Artificial microfluidic skin for in vitro perspiration simulation and testing.

To expedite development of any skin wearable material, product, or device, an artificial perspiration (sweat) simulator can provide improved ease, cost, control, flexibility, and reproducibility in comparison to human or animal tests. Reported here is a human perspiration mimicking device including microreplicated skin-texture. A bottom 0.2 μm track etched polycarbonate membrane layer provides flow-rate control while a top photo-curable layer provides skin-like features such as sweat pore density, hydrophobicity, and wetting hysteresis. Key capabilities of this sweat simulator include: constant 'sweat' rate density without bubble-point variation even down to ~1 L h(-1) m(-2); replication of the 2 pores mm(-2) pore-density and the ~50 μm texture of human skin; simple gravity-fed flow control; low-cost and disposable construction.

[1]  Y. Linde,et al.  'Dry' skin in atopic dermatitis. II. A surface profilometry study. , 1989, Acta dermato-venereologica.

[2]  Andrea Ridolfi,et al.  BIOTEX—Biosensing Textiles for Personalised Healthcare Management , 2010, IEEE Transactions on Information Technology in Biomedicine.

[3]  E. Cone,et al.  Sweat testing for heroin, cocaine, and metabolites. , 1994, Journal of analytical toxicology.

[4]  D. De Rossi,et al.  Advances in textile technologies for unobtrusive monitoring of vital parameters and movements , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Roger L. Barker,et al.  Evaluating the Effects of Material Component and Design Feature on Heat Transfer in Firefighter Turnout Clothing by a Sweating Manikin , 2007 .

[6]  Stephen B. Bharucha,et al.  Neuroimmunomodulation , 2004, Journal of neuroscience research.

[7]  Nancy Kelley-Loughnane,et al.  Selective vapor phase sensing of small molecules using biofunctionalized field effect transistors , 2011, Defense + Commercial Sensing.

[8]  K. Wilke,et al.  A short history of sweat gland biology , 2007, International journal of cosmetic science.

[9]  D. Kidwell,et al.  Testing for drugs of abuse in saliva and sweat. , 1998, Journal of chromatography. B, Biomedical sciences and applications.

[10]  E. Sternberg,et al.  Evaluation of Stress Systems by Applying Noninvasive Methodologies: Measurements of Neuroimmune Biomarkers in the Sweat, Heart Rate Variability and Salivary Cortisol , 2010, Neuroimmunomodulation.

[11]  R. Thorne,et al.  Contact line pinning by microfabricated patterns: effects of microscale topography. , 2009, Langmuir : the ACS journal of surfaces and colloids.

[12]  J. Yoo,et al.  Prediction of sessile drop evaporation considering surface wettability , 2011 .

[13]  P. Sehl,et al.  Sweat rate and electrolyte concentration in swimmers, runners, and nonathletes. , 2010, International journal of sports physiology and performance.

[14]  Z. Draelos.  Cosmetics, categories, and the future , 2012, Dermatologic therapy.

[15]  Bruce D. Johnson,et al.  Detecting cocaine use through sweat testing: multilevel modeling of sweat patch length-of-wear data. , 2004, Journal of analytical toxicology.

[16]  Esther M. Sternberg,et al.  Elevated Neuroimmune Biomarkers in Sweat Patches and Plasma of Premenopausal Women with Major Depressive Disorder in Remission: The POWER Study , 2008, Biological Psychiatry.

[17]  E. Jackson,et al.  Assessing the Bioactivity of Cosmetic Products and Ingredients , 1999, Skin Pharmacology and Physiology.

[18]  Augustus W. Fountain.  Chemical, Biological, Radiological, Nuclear, and Explosives Cbrne Sensing X , 2008 .

[19]  P. Kintz,et al.  Sweat testing in opioid users with a sweat patch. , 1996, Journal of analytical toxicology.

[20]  A. Johansson,et al.  Electro-mechanical stability of surface EMG sensors , 2007, Medical & Biological Engineering & Computing.

[21]  Burhan Bayraktaroglu,et al.  Biofunctionalized Zinc Oxide Field Effect Transistors for Selective Sensing of Riboflavin with Current Modulation , 2011, Sensors.

[22]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[23]  Jayanti Venkataraman,et al.  Feasibility of non-invasive blood glucose monitoring: In-vitro measurements and phantom models , 2011, 2011 IEEE International Symposium on Antennas and Propagation (APSURSI).