2013
DOI: 10.1002/jrs.4355
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Raman comparison of skin dermis of different ages: focus on spectral markers of collagen hydration

Abstract: Skin aging is the most visible sign of aging of the body. This complex process involves molecular and structural alterations of the main skin constituents. The major cutaneous constituent is type I collagen that gives strength and resilience to the skin. This macromolecule possesses a particular triple helix structure and is arranged in the form of a fibrous network. Water plays a crucial role for maintaining this molecular assembly which is altered during intrinsic chronological aging. To investigate some of … Show more

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Cited by 48 publications
(70 citation statements)
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“…(2) Water is able to form H-bonds with the carbonyl (-C@O) groups of the amino acids of the collagen fibers. (3) H-bonds with the C@O groups lower the wave number position of the Amide I band due to electron transfer of the -C@O groups to the semi empty s orbital of hydrogen with partial positive charge; in this way, the C@O force constant becomes weaker.…”
Section: Discussionmentioning
confidence: 99%
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“…(2) Water is able to form H-bonds with the carbonyl (-C@O) groups of the amino acids of the collagen fibers. (3) H-bonds with the C@O groups lower the wave number position of the Amide I band due to electron transfer of the -C@O groups to the semi empty s orbital of hydrogen with partial positive charge; in this way, the C@O force constant becomes weaker.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, in vivo confocal Raman spectra of human skin dermis, which is rich in type I collagen, could be used to study volunteers of different ages to analyze the effects of skin aging due to the glycation process of this protein. It is also well known that the water quantity in the skin dermis increases with age [2,3,30]. Furthermore, elderly people with diabetes usually have higher glucose content [26] (with water solubility of 133 mg/mL).…”
Section: Introductionmentioning
confidence: 98%
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“…The Matlab randfeatures function (available in the MatLab Statistics Toolbox and MatLab Bioinformatics Toolbox) was used to identify the most discriminant infrared wave numbers among our five populations of spectra (tumor necrosis, viable tumor, fibrosis, liver parenchyma, and liver parenchyma necrosis). 37,38 The randfeatures function randomly selects a subset of 15 wave numbers and reduces all the spectra from 451 wave numbers to the 15 selected. The mean spectrum of each category was subtracted from the corresponding spectra.…”
Section: Vx2 Tissues Biochemical Analysismentioning
confidence: 99%
“…The band centered at 855cm -1 was assigned to C-C stretching vibration of HP ring residue and P and 876 cm -1 corresponding to C-C stretching vibration of HP ring residue. The band at 891 cm -1 assigned to the protein at 921 cm -1 to C-C stretching vibration of the ring residue P at 938 cm -1 to C-C stretching vibration of HP and P, 972 cm -1 ascribed collagen [23][24][25] .…”
Section: Calculations In Gaussian Software 09 Through the Theory Of mentioning
confidence: 99%