Suppr超能文献

挖掘化妆品废弃物的潜在价值,助力未来可持续绿色路面建设:以废弃口红为例

Unlocking the Hidden Potential of Cosmetics Waste for Building Sustainable Green Pavements in the Future: A Case Study of Discarded Lipsticks.

作者信息

Nciri Nader, Kim Namho, Caron Arnaud

机构信息

School of Industrial Design & Architectural Engineering, Korea University of Technology & Education, 1600 Chungjeol-ro, Byeongcheon-myeon, Dongnam-gu, Cheonan 31253, Chungnam, Korea.

School of Energy, Materials, & Chemical Engineering, Korea University of Technology & Education, 1600 Chungjeol-ro, Byeongcheon-myeon, Dongnam-gu, Cheonan 31253, Chungnam, Korea.

出版信息

Molecules. 2022 Mar 4;27(5):1697. doi: 10.3390/molecules27051697.

Abstract

This investigation is dedicated to unlocking the hidden potential of discarded cosmetics towards building green sustainable road pavements in the future. It is particularly aiming at exploring waste lipstick (WLS) as a high-quality functional additive for advanced asphalt mix technologies. To fuel this novel innovation, the effect of various WLS doses (e.g., 5, 10, and 15 wt.%) on the performance of base AP-5 asphalt cement was studied in detail. A wide array of cutting-edge analytical lab techniques was employed to inspect in-depth the physicochemical, microstructural, thermo-morphological, and rheological properties of resultant admixtures including: elemental analysis, Fourier transform-infrared spectroscopy (FT-IR), X-ray diffraction (XRD), thin-layer chromatography-flame ionization detection (TLC-FID), scanning electron microscopy (SEM), atomic force microscopy (AFM), thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), needle penetration, ring and ball softening point, Brookfield viscometer, ductility, and dynamic shear rheometer (DSR) tests. Unlike the unstable response of asphaltenes, the additive/artificial aging treatments increased the fraction of resins the most, and decreased that of aromatics; however, asphaltenes did not impair the saturates portion, according to Iatroscan research. FT-IR scan divulged that the WLS-asphalt interaction was physical rather than chemical. XRD diagnosis not only revealed an obvious correlation between the asphaltenes content and the fresh-binder crystallinity but also revealed the presence of fillers in the WLS, which may generate outstanding technical qualities to bituminous mixes. According to AFM/SEM analyses, the stepwise incorporation of WLS grew the magnitude of the "bee-shaped" microstructures and extended the roughness rate of unaged/aged binders. The prolonged consumption of the high thermal-stable additive caused a remarkable drop in the onset degradation and glass transition temperature of mixtures, thus enhancing their workability and low-temperature performance, according to TGA/DTGA/DSC data. The DSR and empirical rheological experiments demonstrated that the WLS could effectively lower the manufacturing and compaction temperatures of asphalt mixes and impart them with valuable anti-aging/fatigue-cracking assets. In a nutshell, the use of waste lipstick as an asphalt modifier is viable and cost-effective and could attenuate the pollution arisen from the beauty sector, while improving the performance of hot/warm asphalt mixes (HAM/WAM) and extending the service life of roadways.

摘要

本研究致力于挖掘废弃化妆品在未来建设绿色可持续道路路面方面的潜在价值。特别旨在探索将废弃口红(WLS)作为先进沥青混合料技术的优质功能添加剂。为推动这一创新,详细研究了不同剂量的WLS(如5%、10%和15%重量比)对基础AP - 5沥青水泥性能的影响。采用了一系列前沿分析实验室技术,深入检测所得外加剂的物理化学、微观结构、热形态和流变性能,包括:元素分析、傅里叶变换红外光谱(FT - IR)、X射线衍射(XRD)、薄层色谱 - 火焰离子化检测(TLC - FID)、扫描电子显微镜(SEM)、原子力显微镜(AFM)、热重分析(TGA)、差示扫描量热法(DSC)、针入度、环球软化点、布鲁克菲尔德粘度计、延度和动态剪切流变仪(DSR)测试。与沥青质的不稳定响应不同,添加剂/人工老化处理使树脂比例增加最多,芳烃比例降低;然而,根据Iatroscan研究,沥青质并未损害饱和烃部分。FT - IR扫描表明WLS与沥青的相互作用是物理性而非化学性的。XRD诊断不仅揭示了沥青质含量与新鲜粘结剂结晶度之间的明显相关性,还揭示了WLS中存在填料,这可能为沥青混合料带来优异的技术性能。根据AFM/SEM分析,逐步加入WLS会增大“蜜蜂状”微观结构的尺寸,并提高未老化/老化粘结剂的粗糙度。根据TGA/DTGA/DSC数据,长期使用这种高热稳定性添加剂会使混合物的起始降解温度和玻璃化转变温度显著下降,从而提高其可加工性和低温性能。DSR和经验流变学实验表明,WLS可以有效降低沥青混合料的制造和压实温度,并赋予它们有价值的抗老化/抗疲劳开裂性能。简而言之,使用废弃口红作为沥青改性剂是可行且具有成本效益的,既能减少美容行业产生的污染,又能提高热拌/温拌沥青混合料(HAM/WAM)的性能并延长道路使用寿命。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fee/8911790/1e7de72a7128/molecules-27-01697-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验