Layer-by-Layer Fabrication of Chemical-Bonded Graphene Coating for Solid-Phase Microextraction

化学 固相微萃取 石墨烯 制作 涂层 图层(电子) 逐层 纳米技术 色谱法 化学工程 气相色谱-质谱法 有机化学 质谱法 病理 工程类 材料科学 替代医学 医学
作者
Suling Zhang,Zhuo Du,Gongke Li
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:83 (19): 7531-7541 被引量:316
标识
DOI:10.1021/ac201864f
摘要

A new fabrication strategy of the graphene-coated solid-phase microextraction (SPME) fiber is developed. Graphite oxide was first used as starting coating material that covalently bonded to the fused-silica substrate using 3-aminopropyltriethoxysilane (APTES) as cross-linking agent and subsequently deoxidized by hydrazine to give the graphene coating in situ. The chemical bonding between graphene and the silica fiber improve its chemical stability, and the obtained fiber was stable enough for more than 150 replicate extraction cycles. The graphene coating was wrinkled and folded, like the morphology of the rough tree bark. Its performance is tested by headspace (HS) SPME of polycyclic aromatic hydrocarbons (PAHs) followed by GC/MS analysis. The results showed that the graphene-coated fiber exhibited higher enrichment factors (EFs) from 2-fold for naphthalene to 17-fold for B(b)FL as compared to the commercial polydimethylsioxane (PDMS) fiber, and the EFs increased with the number of condensed rings of PAHs. The strong adsorption affinity was believed to be mostly due to the dominant role of π-π stacking interaction and hydrophobic effect, according to the results of selectivity study for a variety of organic compounds including PAHs, the aromatic compounds with different substituent groups, and some aliphatic hydrocarbons. For PAHs analysis, the graphene-coated fiber showed good precision (<11%), low detection limits (1.52-2.72 ng/L), and wide linearity (5-500 ng/L) under the optimized conditions. The repeatability of fiber-to-fiber was 4.0-10.8%. The method was applied to simultaneous analysis of eight PAHs with satisfactory recoveries, which were 84-102% for water samples and 72-95% for soil samples, respectively.

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
刚刚
刚刚
大模型应助江筱筱采纳,获得10
刚刚
1秒前
1秒前
852应助ATOM采纳,获得10
1秒前
2秒前
2秒前
weiwoo12发布了新的文献求助30
3秒前
jeniffer发布了新的文献求助10
4秒前
4秒前
ame1120发布了新的文献求助10
4秒前
陈某某完成签到,获得积分10
5秒前
6秒前
Rita发布了新的文献求助10
6秒前
6秒前
万能图书馆应助钢鹏采纳,获得10
6秒前
7秒前
7秒前
8秒前
舟落枫发布了新的文献求助10
8秒前
8秒前
9秒前
111完成签到,获得积分10
9秒前
林林发布了新的文献求助10
10秒前
10秒前
Echo发布了新的文献求助10
10秒前
123发布了新的文献求助10
10秒前
小瞎鱼完成签到,获得积分10
11秒前
11秒前
11秒前
英姑应助认真帽子采纳,获得20
11秒前
优美的书雪完成签到,获得积分10
12秒前
烂漫的碧玉完成签到,获得积分10
12秒前
医无止境完成签到,获得积分10
12秒前
离言完成签到,获得积分10
12秒前
顾矜应助ame1120采纳,获得10
12秒前
1988发布了新的文献求助10
12秒前
奈何完成签到,获得积分10
12秒前
12秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 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 7602332
求助须知:如何正确求助?哪些是违规求助? 9178631
关于积分的说明 19655907
捐赠科研通 7178095
什么是DOI,文献DOI怎么找? 3269043
关于科研通互助平台的介绍 2433227
邀请新用户注册赠送积分活动 2262854