Quantitative analysis of textile delusterant based on terahertz spectral and data fusion strategies

太赫兹辐射 织物 融合 传感器融合 计算机科学 材料科学 遥感 人工智能 光电子学 地质学 复合材料 语言学 哲学
作者
Xianhua Yin,Huicong Chen,An Li,Wei Mo
出处
期刊:Infrared Physics & Technology [Elsevier BV]
卷期号:125: 104293-104293 被引量:7
标识
DOI:10.1016/j.infrared.2022.104293
摘要

• Spectral data fusion and partial least squares were used to determine the delusterant content in textiles. • High-level data fusion was the most effective way to model the quantification of delusterant. • It lays the valuable foundation for the testing of textile additives. Titanium dioxide is a delusterant and an important component in the manufacturing of polyester fiber. For the need of fast, accurate and nondestructive detection of matting agents in textiles, a quantitative analysis method based on terahertz absorption spectroscopy and derivative spectroscopy, combined with chemometrics and data fusion strategy is proposed. This experiment was used two spectra for fusion. The terahertz absorption spectra were obtained in the band of 0.2–1.9 THz by optical parameter extraction. The derivative spectrum was derived from the first-order derivative of the absorption spectrum. Partial least squares (PLS) and data fusion were used to construct a prediction model for titanium dioxide concentration in polyester fiber. Low-level data fusion was the direct combination of two spectral data; The successive projections algorithm (SPA) and Monte Carlo uninformative variable elimination (MCUVE) were employed by mid-level data fusion for feature selection, after which the feature variables were fused; multiple linear regression was used for fusion by high-level data fusion. The prediction accuracy of the high-level data fusion model is higher than that of other models, which the correlation coefficient of cross-validation (Rcv) and correlation coefficient of prediction (Rp) are 0.9229 and 0.9227. The mean relative error (MRE) is 0.2654. The results show that terahertz spectroscopy combined with chemometric methods and high-level data fusion strategies can achieve rapid, accurate and non-destructive detection of titanium dioxide in polyester fiber, which can lay the theoretical foundation for terahertz spectroscopy detection methods for textile additives.
最长约 10秒,即可获得该文献文件

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
优雅如天完成签到,获得积分20
2秒前
剑来不来完成签到,获得积分10
2秒前
Monster发布了新的文献求助10
2秒前
Ava应助Dandy采纳,获得10
2秒前
苗玉完成签到,获得积分10
9秒前
10秒前
搜集达人应助蓝天采纳,获得10
11秒前
11秒前
在水一方应助李哈哈采纳,获得10
13秒前
JT完成签到,获得积分10
14秒前
14秒前
15秒前
Solarenergy完成签到,获得积分0
16秒前
daoketuo完成签到,获得积分10
17秒前
DMMM发布了新的文献求助10
17秒前
20秒前
20秒前
Fair完成签到,获得积分10
20秒前
20秒前
马大帅发布了新的文献求助10
20秒前
天天快乐应助Calvin采纳,获得30
21秒前
研友_VZG7GZ应助DMMM采纳,获得10
25秒前
庚人完成签到,获得积分10
25秒前
27秒前
30秒前
30秒前
31秒前
CodeCraft应助庚人采纳,获得10
32秒前
33秒前
33秒前
小杨完成签到,获得积分10
34秒前
Dandy发布了新的文献求助10
35秒前
ding应助爱学习的小羊采纳,获得10
36秒前
阿信发布了新的文献求助10
36秒前
曾经的慕灵完成签到,获得积分10
37秒前
答辩发布了新的文献求助10
38秒前
39秒前
39秒前
是阮软不是懒懒完成签到 ,获得积分10
42秒前
舒克完成签到,获得积分10
44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
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 6357450
求助须知:如何正确求助?哪些是违规求助? 8172117
关于积分的说明 17206929
捐赠科研通 5413121
什么是DOI,文献DOI怎么找? 2864930
邀请新用户注册赠送积分活动 1842401
关于科研通互助平台的介绍 1690526