文献类型：期刊文献

英文题名：Image of the distribution profile of targets in skin by Raman spectroscopy-based multivariate analysis

作者：Kang, Yan[1];Zhang, Feiyu[1]

机构：[1]East China Univ Sci & Technol, Sch Chem & Mol Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China

年份：2022

卷号：28

期号：3

起止页码：402

外文期刊名：SKIN RESEARCH AND TECHNOLOGY

收录：;EI(收录号：20214511135599);WOS:【SCI-EXPANDED(收录号:WOS:000715864000001)】；

基金：Science and Technology Commission of Shanghai Municipality, Grant/Award Number: 19142201200

语种：英文

外文关键词：abundance fraction estimation; image; Raman mapping; skin

摘要：Raman spectroscopic imaging is a label-free spectral technology to investigate the distribution of transdermal targets in skin. However, it is difficult to analyze low content of analytes in skin by direct imaging analysis. Combining Raman mapping technology with multiple linear regression algorithms, concentration contribution factor of targets in ex vivo human skin tissue at every point has been calculated. The distribution profiles are visualized as heat maps demonstrating the targets levels in different skin layers. This method has been successfully employed to investigate the vibrational imaging of distribution of hyaluronic acid and lidocaine in skin. Moreover, three dimensional (3D) images of the penetration profiles of hyaluronic acid with different molecular weight have been obtained. The results from 3D images were in good agreement with these from two-dimensional images, indicating that this method was a reliable way for monitoring the distribution of targets in skin.