Trace-Amount Detection of Chiral Molecules Based on Plasmonic Racemic Arrays Fabricated via Direct Laser Writing

等离子体子 材料科学 外消旋混合物 分子 对映体 手性(物理) 圆二色性 纳米技术 化学 光电子学 有机化学 物理 手征异常 结晶学 费米子 量子力学 Nambu–Jona Lasinio模型
作者
Yong Yi Tan,Xiaolin Lü,Tao Ding
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:9 (6): 3290-3295 被引量:2
标识
DOI:10.1021/acssensors.4c00644
摘要

Superchiral fields, supported by chiral plasmonic structures, have shown outstanding performance for chiral molecule sensing via enhanced chiral light–matter interaction. However, this sensing capability cannot fully reveal the chiral origin of the molecules as the chiroptic response of the molecules is intertwined with the chiroptic response of the chiral plasmonic nanostructures, which can potentially be excluded by using a plasmonic racemic mixture. Such a plasmonic racemic mixture is not easily attainable, as it normally requires complex fabrication and expensive instrumentation, whose structural fineness is limited by the fabrication precision. Here, we demonstrate trace-amount chiral molecule detection with plasmonic racemic arrays fabricated by direct laser writing with vector beams, which is facile, cost-effective, and highly controllable. The racemic arrays present no inherent circular differential scattering but a large local superchiral field, which reflects the intrinsic chiral features of the chiral molecules. They are further applied to discriminate enantiomers of phenylalanine with a limit of detection (LOD) of 10.0 ± 2.8 μM, which is an order of magnitude smaller than the LOD of conventional circular dichroism spectroscopy. The strong local superchiral field provided by the plasmonic racemic arrays enlightens the design of a superior sensing platform, which holds promising applications for biomedical detection and enantioselective drug 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
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
静夜谧思完成签到,获得积分10
1秒前
Lucas应助yakami采纳,获得10
2秒前
kk完成签到,获得积分10
2秒前
2秒前
LF-Scie完成签到,获得积分10
4秒前
学术z完成签到,获得积分10
4秒前
刻苦大米完成签到,获得积分10
4秒前
LZQ应助小可爱采纳,获得10
4秒前
大模型应助科研通管家采纳,获得10
5秒前
6秒前
Martin应助科研通管家采纳,获得10
6秒前
桐桐应助科研通管家采纳,获得10
6秒前
顾矜应助科研通管家采纳,获得10
6秒前
汉堡包应助科研通管家采纳,获得10
6秒前
6秒前
领导范儿应助科研通管家采纳,获得10
6秒前
6秒前
天天快乐应助科研通管家采纳,获得10
6秒前
Orange应助科研通管家采纳,获得10
6秒前
星辰大海应助科研通管家采纳,获得10
6秒前
斯文败类应助科研通管家采纳,获得10
6秒前
哎呦喂完成签到,获得积分10
7秒前
CEJ发布了新的文献求助10
8秒前
SYLH应助小狸采纳,获得10
9秒前
小二郎应助mia采纳,获得10
11秒前
斯文败类应助Franky采纳,获得10
12秒前
丘比特应助von采纳,获得10
12秒前
丘比特应助炙热的萤采纳,获得10
13秒前
刻苦大米发布了新的文献求助10
13秒前
李健的粉丝团团长应助zxy采纳,获得10
14秒前
Ava应助hgh采纳,获得10
16秒前
CEJ完成签到,获得积分10
16秒前
在望应助April采纳,获得10
17秒前
18秒前
18秒前
香蕉觅云应助潘宋采纳,获得10
18秒前
赘婿应助余樂采纳,获得10
23秒前
Franky发布了新的文献求助10
23秒前
26秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3736001
求助须知:如何正确求助?哪些是违规求助? 3279686
关于积分的说明 10017009
捐赠科研通 2996428
什么是DOI,文献DOI怎么找? 1644048
邀请新用户注册赠送积分活动 781753
科研通“疑难数据库(出版商)”最低求助积分说明 749425