Oil-based extraction as an efficient method for the quantification of microplastics in environmental samples

微塑料 生态毒理学 萃取(化学) 环境科学 石油泄漏 环境化学 色谱法 化学 环境工程
作者
Nina Lekše,Andreja Žgajnar Gotvajn,Marija Zupančič,Tjaša Griessler Bulc
出处
期刊:Environmental Sciences Europe [Springer Nature]
卷期号:36 (1) 被引量:2
标识
DOI:10.1186/s12302-024-00898-6
摘要

Abstract Background Wastewater treatment plant outlets are a major source of microplastics, with more than 90% retained in sewage sludge. No standardised method for the extraction, quantification, and characterisation of microplastics in sewage sludge or soil exists, and direct comparison of studies is often impossible. Our aim was to validate oil extraction efficiency with and without pre-treatment with Fenton’s reagent of selected microplastics in various types of environmental samples (sewage sludge and organic-rich substrates). Results Oxidation with Fenton’s reagent removed up to 90% of organic material, which improves the recovery rate and made quantification and characterisation easier and more reliable, regardless of type, shape, size, or density of the selected microplastic particles used in this study. Pre-treatment, as a pre-step of the oil extraction method, was shown to be important in reducing organic matter in all environmental samples, including sewage sludge and organic-rich substrates. It also improved the reliability of the selected method, shortened its duration, and, by reducing organic matter, made extracted microplastics more visible. The recovery rate was better for particles 1–5 mm and lower for particles 0.1 < 1 mm. Conclusions By achieving up to a 100% recovery rate for certain types of microplastics (polypropylene and polystyrene), the selected method proved to be a promising extraction method. It was also shown to be efficient in the organic-rich substrates, for which the characterisation of microplastic particles was done by Fourier transform infrared spectroscopy. The most commonly detected types of microplastics in organic-rich substrates were polyethylene, polypropylene, polystyrene and polyester.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
易清华完成签到 ,获得积分10
2秒前
2秒前
共享精神应助powozhi13579采纳,获得10
3秒前
所所应助快乐滑板采纳,获得10
5秒前
幸福定帮发布了新的文献求助10
5秒前
科研通AI2S应助虚拟的含灵采纳,获得10
6秒前
123123完成签到,获得积分20
7秒前
yemma完成签到,获得积分10
7秒前
8秒前
Jiarong1完成签到,获得积分10
9秒前
Zr完成签到,获得积分10
10秒前
rr发布了新的文献求助20
10秒前
迷你的隶完成签到,获得积分10
11秒前
坦率的匪完成签到,获得积分10
11秒前
现代的烤鸡完成签到,获得积分10
12秒前
领导范儿应助斑比采纳,获得10
12秒前
coco发布了新的文献求助10
13秒前
danporzhu完成签到,获得积分10
14秒前
vvwwvv发布了新的文献求助20
16秒前
tsuki完成签到,获得积分20
16秒前
俏皮诺言发布了新的文献求助10
17秒前
啊锐完成签到,获得积分10
19秒前
20秒前
Arthur完成签到 ,获得积分10
20秒前
gnr2000发布了新的文献求助10
21秒前
卷王完成签到,获得积分10
21秒前
飞翔的荷兰人完成签到,获得积分10
23秒前
最佳损友完成签到,获得积分10
23秒前
25秒前
ChenHan完成签到,获得积分10
25秒前
余德熙发布了新的文献求助10
26秒前
27秒前
方羽应助tar采纳,获得10
28秒前
wansida完成签到,获得积分10
32秒前
Survivor应助科研通管家采纳,获得10
33秒前
彭于晏应助科研通管家采纳,获得10
33秒前
阿飘应助科研通管家采纳,获得10
33秒前
33秒前
Orange应助科研通管家采纳,获得10
33秒前
乐乐应助科研通管家采纳,获得10
33秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1200
BIOLOGY OF NON-CHORDATES 1000
进口的时尚——14世纪东方丝绸与意大利艺术 Imported Fashion:Oriental Silks and Italian Arts in the 14th Century 800
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 550
The Collected Works of Jeremy Bentham: Rights, Representation, and Reform: Nonsense upon Stilts and Other Writings on the French Revolution 320
Generative AI in Higher Education 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3357139
求助须知:如何正确求助?哪些是违规求助? 2980671
关于积分的说明 8695510
捐赠科研通 2662283
什么是DOI,文献DOI怎么找? 1457767
科研通“疑难数据库(出版商)”最低求助积分说明 674851
邀请新用户注册赠送积分活动 665893