Ein Verfahren zur Bestimmung des relativen Wassergehaltes des Stratum corneum der menschlichen Haut

Wienert, V.; Hegner, Gerald; Sick, H.

doi:10.1007/bf00417151

Cited by 14 publications

(2 citation statements)

References 3 publications

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“…Water is another skin component that has quantitative and structural changes with aging that are poorly understood. In most studies only stratum corneum water has been investigated (Hegner et al, 1981;Wiener et al, 1981;Potts et al, 1984;Elsner et al, 1994;Aisen et al, 1997). The general belief is that aged skin is ''drier,'' i.e., contains less water.…”

mentioning

confidence: 99%

Water and Protein Structure in Photoaged and Chronically Aged Skin

Gniadecka

Nielsen

Wessel

et al. 1998

Journal of Investigative Dermatology

179

167

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Changes in the structural proteins and hydration during aging is responsible for altered skin morphologic and mechanical properties manifested as wrinkling, sagging, loss of elasticity, or apparent dryness. To gain insight into the age-related alterations in protein conformation and water structure, we obtained Raman spectra from the sun-protected buttock skin representing chronologic aging and the sun-exposed forearm skin representing combined effects of photoaging and chronologic aging. Ten aged individuals (five men, five women; age range 74-87) and 10 control young individuals (five men, five women; age range 22-29) entered the study. In the photoaged forearm skin the positions of protein-specific amide I, amide III, and CH stretching bands were shifted, suggesting increased protein folding. In contrast, major changes were seen only in the amide I peak in chronologically aged skin. The intensity of the 3250 cm(-1) OH stretching band was increased in photoaged skin (but not in chronologically aged skin) indicating an increased water content. R(v) representation of the low-frequency region of Raman spectra was applied to determine water structure. In the young skin and chronologically aged skin water was mostly present in the bound form. In the photoaged skin, however, an increase in intensity at 180 cm(-1) was noted, which reflects an increase in the not-protein bound water (tetrahedron water clusters). In conclusion, it seems that proteins in the photoaged skin are more compact and interact with water to limited degree. Impairment in protein hydration may add to the understanding of ultrastructural, mechanical, and biochemical changes in structural proteins in the aged skin.

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mentioning

confidence: 99%

Water and Protein Structure in Photoaged and Chronically Aged Skin

Gniadecka

Nielsen

Wessel

et al. 1998

Journal of Investigative Dermatology

179

167

View full text Add to dashboard Cite

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“…Previously in dermatological research, majority of the work have been done to find out the behavior of skin moisture [8] using occlusion dressing, before and after removing, with the help of a device (Hygroton RF-820). In another work, [9], a water bath method was developed to determine the dynamic response of the skin.…”

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confidence: 99%

New Directions for Skincare Monitoring: An NFC-Based Battery-Free Approach Combined With Deep Learning Techniques

2022

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Skincare monitoring has always been of paramount importance in the field of dermatology. In this study, we developed a smart skincare device that can harvest energy from a near field communication (NFC)-based smartphone and allow the adoption of a battery-free design approach. This device consists of two integrated sensors: one for the measurement of skin moisture and another for that of ultraviolet (UV) radiations. We conducted a series of experimental tests on different subjects in indoor and outdoor environments (8 and 6, respectively). Their skin moisture and temperature were measured parallelly to the ultraviolet A (UVA) and ultraviolet B (UVB) radiations from the sun. Later, the 6 channel sensing outputs obtained from the sensors (including ambient humidity and temperature) were input into a deep learning artificial neural network (ANN) model, which was used to predict the corresponding outputs and calculate the respective mean square error (MSE). The ultraviolet index (UVI) outputs were classified (using the same ANN model) into "less harmful", "moderate harmful" and "burn". The overall classification accuracy was 99.8%: the best performance achieved by using an ANN model. Notably, our skincare device is enclosed in a 3D flexible design print and is smart, battery-free, equipped with an Android application interface and more convenient to transport than other commercially available devices.INDEX TERMS Artificial neural network model, near field communication, skin moisture, skincare, UVI.

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Skin Hydration (Transepidermal Water Loss) — Measuring Methods and Dependence on Washing Procedure

Zienicke¹

1992

Skin Cleansing With Synthetic Detergents

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Ein Verfahren zur Bestimmung des relativen Wassergehaltes des Stratum corneum der menschlichen Haut

Cited by 14 publications

References 3 publications

Water and Protein Structure in Photoaged and Chronically Aged Skin

Water and Protein Structure in Photoaged and Chronically Aged Skin

New Directions for Skincare Monitoring: An NFC-Based Battery-Free Approach Combined With Deep Learning Techniques

Skin Hydration (Transepidermal Water Loss) — Measuring Methods and Dependence on Washing Procedure

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