Deep eutectic solvent for the extraction of polycyclic aromatic compounds in fuel, food and environmental samples

化学 背景(考古学) 石油化工 汽油 环境化学 气相色谱法 流出物 样品制备 共晶体系 色谱法 有机化学 废物管理 合金 古生物学 工程类 生物
作者
Pedro Victor Bomfim Bahia,Beatriz dos Reis Lago Brandão,Maria Elisabete Machado
出处
期刊:Talanta [Elsevier]
卷期号:277: 126418-126418 被引量:3
标识
DOI:10.1016/j.talanta.2024.126418
摘要

Polycyclic aromatic compounds (PACs) encompass a wide variety of organic analytes that have mutagenic and carcinogenic potentials for human health and are recalcitrant in the environment. Evaluating PACs levels in fuel (e.g., gasoline and diesel), food (e.g., grilled meat, fish, powdered milk, fruits, honey, and coffee) and environmental (e.g., industrial effluents, water, wastewater and marine organisms) samples are critical to determine the risk that these chemicals pose. Deep eutectic solvents (DES) have garnered significant attention in recent years as a green alternative to traditional organic solvents employed in sample preparation. DES are biodegradable, have low toxicities, ease of synthesis, low cost, and a remarkable ability to extract PACs. However, no comprehensive assessment of the use of DESs for extracting PACs from fuel, food and environmental samples has been performed. This review focused on research involving the utilization of DESs to extract PACs in matrices such as PAHs in environmental samples, NSO-HET in fuels, and bisphenols in foods. Chromatographic methods, such as gas chromatography (GC) and high-performance liquid chromatography (HPLC), were also revised, considering the sensibility to quantify these compound types. In addition, the characteristics of DES and advantages and limitations for PACs in the context of green analytical chemistry principles (GAC) and green profile based on metrics provide perspective and directions for future development.
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
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
不配.应助加菲丰丰采纳,获得10
1秒前
白月光发布了新的文献求助10
1秒前
1秒前
小木子完成签到,获得积分10
1秒前
失眠的毛豆完成签到,获得积分10
2秒前
3秒前
3秒前
糖糖完成签到,获得积分10
3秒前
Jasper应助好会呀采纳,获得10
3秒前
郁金香没有你的浴巾香完成签到,获得积分10
4秒前
娃哈哈发布了新的文献求助10
4秒前
4秒前
5秒前
汉堡包应助Zz采纳,获得10
5秒前
6秒前
勤劳小蜜蜂完成签到,获得积分10
6秒前
6秒前
半圭为璋发布了新的文献求助10
6秒前
haha完成签到,获得积分20
6秒前
7秒前
8秒前
8秒前
栋宝发布了新的文献求助10
9秒前
11秒前
高挑的墨镜完成签到,获得积分10
12秒前
Funeral发布了新的文献求助10
13秒前
momo发布了新的文献求助10
13秒前
CipherSage应助娃哈哈采纳,获得10
13秒前
半圭为璋完成签到,获得积分10
14秒前
shuangma完成签到,获得积分10
14秒前
15秒前
15秒前
16秒前
17秒前
17秒前
Ava应助mylord采纳,获得10
17秒前
18秒前
年轻半雪完成签到,获得积分10
18秒前
Murphy_12完成签到,获得积分10
18秒前
Leo完成签到,获得积分10
18秒前
高分求助中
Earth System Geophysics 1000
Studies on the inheritance of some characters in rice Oryza sativa L 600
Medicina di laboratorio. Logica e patologia clinica 600
mTOR signalling in RPGR-associated Retinitis Pigmentosa 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Aspects of Babylonian celestial divination: the lunar eclipse tablets of Enūma Anu Enlil 500
Semiconductor Process Reliability in Practice 500
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 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3206106
求助须知:如何正确求助?哪些是违规求助? 2855475
关于积分的说明 8099633
捐赠科研通 2520516
什么是DOI,文献DOI怎么找? 1353428
科研通“疑难数据库(出版商)”最低求助积分说明 641741
邀请新用户注册赠送积分活动 612850