QD‐based fluorescent nanosensors: Production methods, optoelectronic properties, and recent food applications

Author:

Jia Zhixin1234,Shi Ce234ORCID,Yang Xinting1234,Zhang Jiaran5,Sun Xia1,Guo Yemin1,Ying Xiaoguo6

Affiliation:

1. School of Agricultural Engineering and Food Science Shandong University of Technology Zibo Shandong China

2. Information Technology Research Center Beijing Academy of Agriculture and Forestry Sciences Beijing China

3. Key Laboratory of Cold Chain Logistics Technology for Agro‐product Ministry of Agriculture and Rural Affairs Beijing China

4. National Engineering Laboratory for Agri‐product Quality Traceability Beijing Academy of Agricultural and Forestry Sciences Beijing China

5. School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture Daxing District Beijing China

6. College of Food and Pharmacy Zhejiang Ocean University Zhoushan Zhejiang China

Abstract

AbstractFood quality and safety are crucial public health concerns with global significance. In recent years, a series of fluorescence detection technologies have been widely used in the detection/monitoring of food quality and safety. Due to the advantages of wide detection range, high sensitivity, convenient and fast detection, and strong specificity, quantum dot (QD)‐based fluorescent nanosensors have emerged as preferred candidates for food quality and safety analysis. In this comprehensive review, several common types of QD production methods are introduced, including colloidal synthesis, self‐assembly, plasma synthesis, viral assembly, electrochemical assembly, and heavy‐metal‐free synthesis. The optoelectronic properties of QDs are described in detail at the electronic level, and the effect of food matrices on QDs was summarized. Recent advancements in the field of QD‐based fluorescent nanosensors for trace level detection and monitoring of volatile components, heavy metal ions, food additives, pesticide residues, veterinary‐drug residues, other chemical components, mycotoxins, foodborne pathogens, humidity, and temperature are also thoroughly summarized. Moreover, we discuss the limitations of the QD‐based fluorescent nanosensors and present the challenges and future prospects for developing QD‐based fluorescent nanosensors. As shown by numerous publications in the field, QD sensors have the advantages of strong anti‐interference ability, convenient and quick operation, good linear response, and wide detection range. However, the reported assays are laboratory‐focused and have not been industrialized and commercialized. Promising research needs to examine the potential applications of bionanotechnology in QD‐based fluorescent nanosensors, and focus on the development of smart packaging films, labeled test strips, and portable kits‐based sensors.

Funder

National Key Research and Development Program of China

Publisher

Wiley

Subject

Food Science

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