Development of Standardized Methods to Extract and Digest Microplastics in Environmental Samples

微塑料 化学 环境化学
作者
Baharan Emam,Sungyoon Jung
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:97 (22): 11536-11543 被引量:4
标识
DOI:10.1021/acs.analchem.5c00419
摘要

The contamination of environments by microplastics has been extensively documented; however, the absence of standardized and effective extraction and digestion methods presents a substantial challenge for accurate evaluation. This study addressed this gap by testing four commonly found microplastics (PET, PVC, PS, and PP) to develop microplastic extraction and digestion methods that preserve their integrity during analysis. A total of 72 tests of extraction and digestion methods were examined, incorporating variations in chemical agents, exposure durations, and conditions. For extraction, density separation using sodium hydroxide, zinc chloride, potassium iodide, and sodium bromide was examined over two exposure durations (4 and 72 h). Hydrogen peroxide was applied for digestion over three exposure durations (24, 72, and 10 days), while Fenton's reagent was applied for 24 and 72 h. Significant variations in the physicochemical properties of plastics were observed because of various density separation and digestion methods. Potassium iodide and zinc chloride caused noticeable changes in PET, while PS was more affected by the digestion methods. This study offers a foundational understanding of how different methods affect microplastic integrity and provides practical guidance for selecting suitable chemical agents and conditions.
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
Zhao0112发布了新的文献求助10
刚刚
隐形曼青应助qqqq采纳,获得10
刚刚
快乐的尔蓝完成签到,获得积分10
1秒前
1秒前
liangxt完成签到,获得积分20
2秒前
2秒前
duanhahaha发布了新的文献求助10
3秒前
斯文败类应助健忘海露采纳,获得10
3秒前
华仔应助yyy采纳,获得10
5秒前
5秒前
胖头鱼发布了新的文献求助10
5秒前
ZC发布了新的文献求助10
7秒前
7秒前
熊猫晶晶发布了新的文献求助10
7秒前
8秒前
南巷完成签到,获得积分10
9秒前
9秒前
丘比特应助shimly0101xx采纳,获得10
10秒前
无花果应助科研通管家采纳,获得10
10秒前
隐形曼青应助科研通管家采纳,获得10
10秒前
Owen应助快乐的尔蓝采纳,获得10
10秒前
CipherSage应助科研通管家采纳,获得10
10秒前
FashionBoy应助科研通管家采纳,获得10
10秒前
烟花应助科研通管家采纳,获得10
10秒前
11秒前
搜集达人应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
小番茄完成签到 ,获得积分10
11秒前
11秒前
传奇3应助科研通管家采纳,获得10
11秒前
情怀应助科研通管家采纳,获得10
11秒前
12秒前
深情安青应助科研通管家采纳,获得10
12秒前
学霸业应助科研通管家采纳,获得10
12秒前
星辰大海应助科研通管家采纳,获得10
12秒前
aubusson应助科研通管家采纳,获得10
12秒前
桐桐应助科研通管家采纳,获得10
13秒前
13秒前
星辰大海应助科研通管家采纳,获得10
13秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583211
求助须知:如何正确求助?哪些是违规求助? 9161912
关于积分的说明 19605377
捐赠科研通 7165260
什么是DOI,文献DOI怎么找? 3266226
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257564