Residential Collegefalse
Status已發表Published
Gold Nanoclusters and Silica-Coated Carbon Dots-Assisted Ratiometric Fluorescent Nanosensors for Ultrasensitive Detection of Glyphosate
Ma, Runran1; Fu, Lizhu2,3; Long, Nan4; Guo, Haipeng2; Hou, Yujiao1; Li, Ying4; Li, Peng5; Wang, Jiabo1; Zhou, Lidong4; Kong, Weijun1,2
2023-03-22
Source PublicationACS SUSTAINABLE CHEMISTRY & ENGINEERING
ISSN2168-0485
Volume11Issue:13Pages:5093-5104
Abstract

In this work, a novel ratiometric fluorescent nanosensor by coupling mesoporous silica spheres-coated nitrogen-doped carbon dots (N-CDs@SiO) and bovine serum albumin-stabilized gold nanoclusters (BSA-AuNCs) was developed for sensitive detection of glyphosate. BSA-AuNCs nanocomposites were covalently connected onto the surface of amino-functionalized N-CDs@SiO nanospheres, causing the core-satellite probes with two fluorescence emissions at 436 and 651 nm, respectively, under a single excitation of 360 nm. The N-CDs@SiO@BSA-AuNCs “signal on-off-on” ratiometric fluorescent probes could realize highly selective differentiation and accurate detection of glyphosate based on the fluorescence quenching of Cu on BSA-AuNCs and glyphosate-induced fluorescence recovery due to the strong complexation of glyphosate toward Cu. The developed ratiometric fluorescent nanosensor exhibited excellent selectivity to glyphosate, wide detectability in a concentration range of 5-100 ng/mL, high sensitivity with a low detection limit of 3.4 ng/mL, as well as fascinating reliability and practicability in real malt samples with recoveries of 94.81-101.61%. This study provides a universal platform for versatile sensing of more trace analytes in complex matrices and can be extended for wide application in the environment and food safety fields.

KeywordRatiometric Fluorescent Nanosensor Bsa-auncs Silica-coated N-cds Dual-emissive Probes Glyphosate
DOI10.1021/acssuschemeng.2c07077
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaChemistry ; Science & Technology - Other Topics ; Engineering
WOS SubjectChemistry, Multidisciplinary ; Green & Sustainable Science & Technology ; Engineering, Chemical
WOS IDWOS:000952742300001
PublisherAMER CHEMICAL SOC, 1155 16TH ST, NW, WASHINGTON, DC 20036
Scopus ID2-s2.0-85151326520
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF QUALITY RESEARCH IN CHINESE MEDICINE (UNIVERSITY OF MACAU)
Institute of Chinese Medical Sciences
Corresponding AuthorKong, Weijun
Affiliation1.School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, China
2.State Key Laboratory of Southwestern Chinese Medicine Resources, Pharmacy College, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
3.The People’s Hospital of Da Yi County, Chengdu, 611137, China
4.Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100193, China
5.State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China
Recommended Citation
GB/T 7714
Ma, Runran,Fu, Lizhu,Long, Nan,et al. Gold Nanoclusters and Silica-Coated Carbon Dots-Assisted Ratiometric Fluorescent Nanosensors for Ultrasensitive Detection of Glyphosate[J]. ACS SUSTAINABLE CHEMISTRY & ENGINEERING, 2023, 11(13), 5093-5104.
APA Ma, Runran., Fu, Lizhu., Long, Nan., Guo, Haipeng., Hou, Yujiao., Li, Ying., Li, Peng., Wang, Jiabo., Zhou, Lidong., & Kong, Weijun (2023). Gold Nanoclusters and Silica-Coated Carbon Dots-Assisted Ratiometric Fluorescent Nanosensors for Ultrasensitive Detection of Glyphosate. ACS SUSTAINABLE CHEMISTRY & ENGINEERING, 11(13), 5093-5104.
MLA Ma, Runran,et al."Gold Nanoclusters and Silica-Coated Carbon Dots-Assisted Ratiometric Fluorescent Nanosensors for Ultrasensitive Detection of Glyphosate".ACS SUSTAINABLE CHEMISTRY & ENGINEERING 11.13(2023):5093-5104.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ma, Runran]'s Articles
[Fu, Lizhu]'s Articles
[Long, Nan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ma, Runran]'s Articles
[Fu, Lizhu]'s Articles
[Long, Nan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ma, Runran]'s Articles
[Fu, Lizhu]'s Articles
[Long, Nan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.