Confocal Raman Spectroscopy of Whole Hairs

拉曼光谱 表皮(毛发) 共焦 分辨率(逻辑) 化学 光谱学 不透明度 纤维 材料科学 光学 分析化学(期刊) 生物物理学 色谱法 解剖 生物 物理 量子力学 人工智能 有机化学 计算机科学
作者
Paul D. A. Pudney,Eleanor Y. M. Bonnist,Kevin J. Mutch,Rachel Nicholls,Hugh Rieley,Samuel Stanfield
出处
期刊:Applied Spectroscopy [SAGE Publishing]
卷期号:67 (12): 1408-1416 被引量:22
标识
DOI:10.1366/13-07086
摘要

This paper describes the application of Raman spectroscopy to whole hair fibers. Previously this has proved difficult because the hairs are relatively opaque, and spatial resolution diminishes with depth because of the change in refractive index. A solution is to couple confocal Raman with multivariate curve resolution (MCR) data analysis, which separates spectral differences with depth despite this reduction in resolution. Initially, it is shown that the cuticle can be separated from the cortex, showing the differences in the proteins, which can then be plotted as a function of depth, with the cuticle factor being seen only at the surface as expected. Hairs that had been treated in different ways, e.g., by bleaching, treatment with the active molecule resorcinol followed by rinsing and treatment with a full hair care product, were also examined. In all cases, changes to the hair are identified and are associated with specific parts of the fiber. Since the hair fiber is kept intact, it can be repeatedly treated and measured, hence multistep treatment processes can be followed. This method expands the potential use of Raman spectroscopy in hair research.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
高兴吐司完成签到,获得积分10
2秒前
淡定的火发布了新的文献求助10
3秒前
lyrelias发布了新的文献求助10
4秒前
猜不猜不发布了新的文献求助10
6秒前
6秒前
传奇3应助不予采纳,获得30
8秒前
Hello应助Wxj246801采纳,获得10
8秒前
11秒前
13秒前
Xhan发布了新的文献求助50
16秒前
科研通AI6.3应助美好乐松采纳,获得10
16秒前
hhh完成签到 ,获得积分10
18秒前
李健的小迷弟应助蓝天采纳,获得10
19秒前
22秒前
汉谟拉比完成签到,获得积分10
23秒前
完美世界应助科研通管家采纳,获得10
24秒前
24秒前
orixero应助科研通管家采纳,获得10
24秒前
CipherSage应助科研通管家采纳,获得10
24秒前
共享精神应助科研通管家采纳,获得10
24秒前
领导范儿应助科研通管家采纳,获得10
24秒前
24秒前
顾矜应助科研通管家采纳,获得10
24秒前
24秒前
Owen应助科研通管家采纳,获得10
25秒前
25秒前
6666应助科研通管家采纳,获得10
25秒前
辛勤月饼应助科研通管家采纳,获得10
25秒前
烟花应助科研通管家采纳,获得10
25秒前
李健应助科研通管家采纳,获得30
25秒前
25秒前
Jasper应助科研通管家采纳,获得10
25秒前
25秒前
25秒前
25秒前
I北草蜥发布了新的文献求助10
26秒前
hu111发布了新的文献求助10
27秒前
wojiaoxiuer发布了新的文献求助30
28秒前
热天气来一个绿茶降降温完成签到,获得积分10
31秒前
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6348932
求助须知:如何正确求助?哪些是违规求助? 8164072
关于积分的说明 17176184
捐赠科研通 5405399
什么是DOI,文献DOI怎么找? 2861990
邀请新用户注册赠送积分活动 1839796
关于科研通互助平台的介绍 1689033