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
可意完成签到,获得积分10
2秒前
冲冲冲发布了新的文献求助10
2秒前
爆米花应助艾斯采纳,获得10
3秒前
Wearnn发布了新的文献求助10
3秒前
海东南完成签到,获得积分10
3秒前
4秒前
4秒前
5秒前
SciGPT应助我有一个超能力采纳,获得10
5秒前
5秒前
6秒前
上官若男应助yi0采纳,获得10
6秒前
苗条碧萱完成签到 ,获得积分10
7秒前
7秒前
无极微光应助kpzwov采纳,获得20
7秒前
Hugo完成签到,获得积分10
7秒前
7秒前
8秒前
jcae123完成签到,获得积分10
8秒前
9秒前
9秒前
风止意平应助科研通管家采纳,获得20
9秒前
哈哈哈完成签到,获得积分10
9秒前
9秒前
李健应助科研通管家采纳,获得10
9秒前
英俊中心发布了新的文献求助10
9秒前
9秒前
9秒前
隐形曼青应助科研通管家采纳,获得30
9秒前
小蘑菇应助科研通管家采纳,获得10
9秒前
molihuakai应助科研通管家采纳,获得10
9秒前
Hello应助科研通管家采纳,获得10
9秒前
科目三应助科研通管家采纳,获得10
10秒前
molihuakai应助科研通管家采纳,获得10
10秒前
斯文败类应助科研通管家采纳,获得10
10秒前
10秒前
10秒前
Orange应助科研通管家采纳,获得10
10秒前
情怀应助科研通管家采纳,获得10
10秒前
10秒前
高分求助中
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Annie Ernaux: De la perte au corps glorieux 600
Microvascular Surgery in Head and Neck Reconstruction 500
Petrology and Plate Tectonics 500
Writing Systems 500
Media Today Mass Communication in a Converging World 9th Edition 400
Understanding Modeling and Simulation of Polymerization Reactions 400
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 6839494
求助须知:如何正确求助?哪些是违规求助? 8548135
关于积分的说明 18187157
捐赠科研通 6187840
什么是DOI,文献DOI怎么找? 3039550
关于科研通互助平台的介绍 2028766
邀请新用户注册赠送积分活动 2017114