A cationic surfactant-decorated liquid crystal-based sensor for sensitive detection of quinoline yellow

Author:

Mohseni-Shahri Fatemeh S.,Moeinpour Farid,Verdian Asma

Abstract

AbstractQuinoline yellow (QY) is one of the popular synthetic food colorants and in food industry greatly used. Developing accurate and simple QY detection procedures is of major considerable importance in ensuring food safety. Hence, it is important to detect this food colorant effectively to reduce risk. Herein, an innovative liquid crystal (LC)-based sensor was designed for the label-free and ultra-sensitive detecting of the QY by means of a cationic surfactant-decorated LC interface. The nematic liquid crystal in touch with CTAB revealed a homeotropic alignment, when QY was injected into the LC-cell, the homeotropic alignment consequently altered to a planar one by electrostatic interactions between QY and CTAB. The designed LC-based sensor detected QY at the too much trace level as low as 0.5 fM with analogous selectivity. The suggested LC-based sensor is a rapid, convenient and simple procedure for label-free detection of QY in food industrial and safety control application.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Nitrogen-doped carbon quantum dots as dual mode fluorescence sensors for the determination of food colorant quinoline yellow;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-07

2. Liquid crystal assisted optical DNA biosensor for the selective detection of bacterium Neisseria gonorrhoeae;Liquid Crystals;2024-04-08

3. Food Quality Assessment Through Surfactant Sensors;Advances in Surfactant Biosensor and Sensor Technologies;2024

4. Electro‐Optic Topological Defect Devices Utilizing Nematic Liquid Crystal Binary Mixtures;Advanced Photonics Research;2023-12-29

5. Surfactant Sensors for Food Quality Monitoring;Surfactant-based Sensors in Chemical and Biochemical Detection;2023-10-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3