Sensing the Changes in Stratum Corneum Using Fourier Transform Infrared Microspectroscopy and Hyperspectral Data Processing.

IF 3.4 3区 综合性期刊 Q2 CHEMISTRY, ANALYTICAL
Sensors Pub Date : 2024-10-31 DOI:10.3390/s24217054
Krzysztof Banas, Agnieszka M Banas, Giorgia Pastorin, Ngai Mun Hong, Shikhar Gupta, Katarzyna Dziedzic-Kocurek, Mark B H Breese
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Abstract

The stratum corneum (SC) forms the outermost layer of the skin, playing a critical role in preventing water loss and protecting against external biological and chemical threats. Approximately 90% of the SC consists of large, flat corneocytes, yet its barrier function primarily relies on the intercellular lipid matrix that surrounds these cells. Traditional methods for characterizing these lipids, such as Fourier transform infrared spectroscopy (FTIR), typically involve macroscopic analysis using attenuated total reflection (ATR) techniques. In this study, we introduce a novel approach for investigating SC samples at a microscopic level to gain detailed chemical insights and assess sample heterogeneity. Special emphasis is placed on advanced hyperspectral data pre-processing to ensure the accuracy and reliability of the results. We also evaluate methods for filtering out spectral data that significantly deviate from the mean and analyze the extracted mean spectra, the intensities of specific infrared peaks, and their ratios. The novelty of this work lies in its microscopic approach to analyzing the SC lipid matrix, diverging from the traditional macroscopic FTIR-ATR methods. By focusing on hyperspectral imaging and developing robust pre-processing techniques, this study provides more localized, high-resolution chemical insights. This microscopic perspective opens up the possibility of detecting subtle heterogeneities within the skin's lipid matrix, offering deeper, previously unattainable understanding of the SC's barrier function. Additionally, the exploration of spectral filtering methods enhances the precision of the analysis, paving the way for more refined and reliable investigations of skin structure and behavior in future research.

利用傅立叶变换红外微光谱和高光谱数据处理技术感知角质层的变化
角质层(SC)是皮肤的最外层,在防止水分流失和抵御外部生物和化学威胁方面起着至关重要的作用。大约 90% 的角质层由大而扁平的角质细胞组成,但其屏障功能主要依赖于这些细胞周围的细胞间脂质基质。表征这些脂质的传统方法,如傅立叶变换红外光谱(FTIR),通常需要使用衰减全反射(ATR)技术进行宏观分析。在本研究中,我们介绍了一种在微观层面研究 SC 样品的新方法,以获得详细的化学见解并评估样品的异质性。我们特别强调了先进的高光谱数据预处理,以确保结果的准确性和可靠性。我们还评估了过滤严重偏离平均值的光谱数据的方法,并分析了提取的平均光谱、特定红外峰的强度及其比率。这项工作的新颖之处在于它采用了微观方法来分析 SC 脂质基质,有别于传统的宏观傅立叶变换红外-ATR 方法。通过重点关注高光谱成像和开发稳健的预处理技术,这项研究提供了更局部、更高分辨率的化学洞察力。这种微观视角为检测皮肤脂质基质中的微妙异质性提供了可能,从而更深入地了解 SC 的屏障功能,这在以前是无法实现的。此外,对光谱过滤方法的探索提高了分析的精确度,为未来研究中对皮肤结构和行为进行更精细、更可靠的调查铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sensors
Sensors 工程技术-电化学
CiteScore
7.30
自引率
12.80%
发文量
8430
审稿时长
1.7 months
期刊介绍: Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and biosensors. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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