Preliminary characterization of wind turbine blade waste by solvolysis, microwave-assisted extraction, and comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry

IF 3.2
Journal of chromatography open Pub Date : 2026-05-01 Epub Date: 2025-12-09 DOI:10.1016/j.jcoa.2025.100301
Giulia Giacoppo , Charlotte Mase , Marco Piparo , Pierre Giusti , Caroline Mangote , Callum Branfoot , Luisa Pasti , Flavio Antonio Franchina , Marco Beccaria
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引用次数: 0

Abstract

The growth of renewable energy infrastructure highlights the urgent need for sustainable solutions to manage its end-of-life materials, including wind turbine blades (WTBs). These composite materials present significant challenges in recycling due to their complex heterogeneous structure and varied chemical composition. To depolymerize WTB composite materials, a solvolysis process was applied. The resulting chemical products underwent microwave-assisted extraction (MAE), using a mixture of n-hexane and methanol (10:3, v:v). The non-polar organic phase was subjected to analysis using comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry (GC×GC-ToFMS). On the basis of electron impact ionization mass spectral matching at 70 eV, linear retention index data, and molecular distribution on the two-dimensional space, >110 compounds were putatively identified, mainly composed by aromatic and heteroatom-containing species. To the best of our knowledge, this is the first time that the molecular composition of WTBs has been investigated by MAE-GC×GC–MS.

Abstract Image

通过溶剂溶解、微波辅助萃取和综合二维气相色谱-飞行时间质谱法对风力涡轮机叶片废弃物进行初步表征
可再生能源基础设施的发展凸显了对可持续解决方案的迫切需求,以管理其报废材料,包括风力涡轮机叶片(WTBs)。这些复合材料由于其复杂的非均相结构和多变的化学成分,在回收方面面临着重大挑战。采用溶剂解聚法对WTB复合材料进行解聚。用正己烷和甲醇(10:3,v:v)的混合物进行微波辅助萃取(MAE)。非极性有机相采用综合二维气相色谱-飞行时间质谱法(GC×GC-ToFMS)进行分析。根据70 eV下的电子碰撞电离质谱匹配、线性保留指数数据和二维空间上的分子分布,推定鉴定出110种化合物,主要由芳香族和杂原子组成。据我们所知,这是第一次通过MAE-GC×GC-MS研究wtb的分子组成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of chromatography open
Journal of chromatography open Analytical Chemistry
CiteScore
2.50
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0.00%
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50 days
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