Novel ssDNA aptamer-based fluorescence sensor for perfluorooctanoic acid detection in water

适体 全氟辛酸 化学 流出物 环境化学 荧光 检出限 组合化学 色谱法 环境科学 环境工程 遗传学 物理 量子力学 生物
作者
Junyoung Park,Kyung-Ae Yang,Yongju Choi,J.K. Choe
出处
期刊:Environment International [Elsevier]
卷期号:158: 107000-107000 被引量:36
标识
DOI:10.1016/j.envint.2021.107000
摘要

Per- and polyfluoroalkyl substances (PFAS) are widely detected environmental contaminants, and there is a great need for development of sensor technologies for rapid and continuous monitoring of PFAS. In this study, we have developed fluorescence based aptasensor that can possibly monitor perfluorooctanoic acid (PFOA) in water with limit of detection (LOD) of 0.17 μM. This is first to report the successful isolation of PFAS binding ssDNA aptamers. The obtained aptamer selectively binds PFOA with dissociation constant (KD) of 5.5 μM. Specific aptamer binding sites to PFOA were identified and the length of the fluorinated carbons was a key binding factor rather than the functional group. The aptamer binding to structurally similar PFAS compounds (i.e., perfluorocarboxylic acids and perfluorosulfonic acids with 4–8 carbon chains) was also investigated; the aptamer KD values were 6.5 and 3.3 μM for perfluoroheptanoic acid and perfluorohexanesulfonic acid, respectively, while other analogs did not bind to the aptamer. The presence of major inorganic ions and dissolved organic matter had negligible influences on the aptamer performance (<14% at a 10 mM concentration), and the aptamer performance was also robust in real wastewater effluent conditions, with a KD of 7.4 μM for PFOA. Fluorescence-based aptasensor developed in this study is adequate in monitoring PFOA levels in water contaminated with the accident spills and heavy usage of fire-fighting foams near the industrial sites and military bases. More importantly, the study opens up new capability of aptasensors to efficiently monitor the trace amount of various PFAS compounds and other fluorinated alternatives in natural and engineered water environments.
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
ML发布了新的文献求助10
刚刚
1秒前
王线性完成签到,获得积分10
2秒前
2秒前
2秒前
wu发布了新的文献求助10
3秒前
顺顺欣发布了新的文献求助10
3秒前
Singularity应助小李采纳,获得20
5秒前
光亮机器猫完成签到,获得积分20
5秒前
Zl完成签到,获得积分10
5秒前
5秒前
6秒前
6秒前
善学以致用应助涨涨涨采纳,获得10
7秒前
耍酷高丽完成签到,获得积分10
7秒前
7秒前
7秒前
科目三应助老王采纳,获得10
7秒前
英俊奇异果完成签到,获得积分20
7秒前
8秒前
常涑完成签到,获得积分10
8秒前
8秒前
慕青应助健康的幻珊采纳,获得10
9秒前
jiangmj1990发布了新的文献求助10
9秒前
9秒前
ML完成签到,获得积分10
10秒前
12秒前
巅峰囚冰发布了新的文献求助10
12秒前
bkagyin应助wu采纳,获得10
12秒前
12秒前
13秒前
suoyi发布了新的文献求助10
14秒前
执着俊驰发布了新的文献求助10
14秒前
小蘑菇应助畅快访蕊采纳,获得10
14秒前
giucher发布了新的文献求助10
14秒前
boom发布了新的文献求助10
14秒前
万幸鹿发布了新的文献求助10
15秒前
SciGPT应助莫道采纳,获得10
17秒前
小李完成签到,获得积分10
17秒前
17秒前
高分求助中
Shape Determination of Large Sedimental Rock Fragments 2000
Sustainability in Tides Chemistry 2000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 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 3129618
求助须知:如何正确求助?哪些是违规求助? 2780387
关于积分的说明 7747813
捐赠科研通 2435722
什么是DOI,文献DOI怎么找? 1294230
科研通“疑难数据库(出版商)”最低求助积分说明 623601
版权声明 600570