Characterization of long-term aged bitumen with FTIR spectroscopy and multivariate analysis methods

傅里叶变换红外光谱 沥青 表征(材料科学) 光谱学 红外光谱学 材料科学 分析化学(期刊) 化学 复合材料 化学工程 纳米技术 有机化学 工程类 物理 量子力学
作者
Kristina Primerano,Johannes Mirwald,Johann Lohninger,Bernhard Hofko
出处
期刊:Construction and Building Materials [Elsevier BV]
卷期号:409: 133956-133956 被引量:17
标识
DOI:10.1016/j.conbuildmat.2023.133956
摘要

One of the most common techniques used to investigate bitumen aging from a chemical perspective is Fourier-Transformation Infrared (FTIR) spectroscopy. However, the majority of standard spectral interpretation simply covers the observation of single bands associated with carbonyls, sulfoxides or aromatic structures. A possibility for a more comprehensive post-processing of FTIR data is to apply multivariate analysis (MVA) methods. Although, MVA methods have already been used for classifying differently aged bitumen in the past, the deployed methods only included standard laboratory aging and failed to consider factors like reactive oxygen species or light. The purpose of this study was the investigation of aged bitumen samples with FTIR spectroscopy and subsequent data processing with MVA. Therefore, nine bituminous binders were subjected to aging with the Pressure Aging Vessel (PAV), Viennese Binder Aging (VBA) and light, followed by a characterization with FTIR spectroscopy and various MVA methods. It was possible to investigate the general structure of the acquired data and differentiate between the aging methods solely based on FTIR spectra. Furthermore, important wavenumbers for the classification were identified, including spectral features around the wavenumbers 3371, 3027, 2943, 1550 and 1324 and 848 cm−1 for the original spectra. This study shows the potential of MVA to maximize the information content gained by experimental analysis and for the development of fast and easy characterization methods.

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
不二发布了新的文献求助10
2秒前
科研通AI2S应助女口采纳,获得10
2秒前
eyu完成签到,获得积分10
2秒前
2秒前
3秒前
loop完成签到,获得积分10
3秒前
fireking_sid发布了新的文献求助10
3秒前
发发发发布了新的文献求助10
3秒前
四叶草发布了新的文献求助20
4秒前
4秒前
Cean完成签到,获得积分10
6秒前
7秒前
xxxxxxx发布了新的文献求助10
7秒前
无花果应助小点点cy_采纳,获得10
7秒前
陶醉聪展完成签到 ,获得积分10
13秒前
13秒前
14秒前
pyc076完成签到,获得积分10
15秒前
16秒前
17秒前
17秒前
三日宝完成签到,获得积分10
18秒前
jindou完成签到,获得积分10
18秒前
英姑应助zychaos采纳,获得10
19秒前
薛定谔的键长完成签到,获得积分10
20秒前
远处的立交完成签到,获得积分10
20秒前
今后应助爱学习爱劳动采纳,获得10
20秒前
LLL发布了新的文献求助10
21秒前
22秒前
熹微发布了新的文献求助10
23秒前
XJ完成签到,获得积分10
24秒前
呆萌的岱周关注了科研通微信公众号
24秒前
25秒前
开心薯片关注了科研通微信公众号
26秒前
依依发布了新的文献求助10
27秒前
28秒前
28秒前
zychaos发布了新的文献求助10
30秒前
坚定的雁完成签到 ,获得积分10
31秒前
31秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Production Logging: Theoretical and Interpretive Elements 3000
J'AI COMBATTU POUR MAO // ANNA WANG 660
Izeltabart tapatansine - AdisInsight 600
Introduction to Comparative Public Administration Administrative Systems and Reforms in Europe, Third Edition 3rd edition 500
Geotechnical characterization of slope movements 500
Individualized positive end-expiratory pressure in laparoscopic surgery: a randomized controlled trial 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3753241
求助须知:如何正确求助?哪些是违规求助? 3296874
关于积分的说明 10096228
捐赠科研通 3011503
什么是DOI,文献DOI怎么找? 1653984
邀请新用户注册赠送积分活动 788565
科研通“疑难数据库(出版商)”最低求助积分说明 752907