A Co2+ Fluorescent Probe Based on Surface Complexation for On-Site Feed Detection

As a core component of vitamin B12, Co2+ is closely associated with the health, life performance, and productivity of ruminants. Therefore, the selective and sensitive detection of Co2+ is of great significance. In this work, using the Au–S bond as an “anchor”, a ternary nanocomposite (CDs-AuNPs-GSH) with synergistic functions was constructed by combining gold nanoparticles (AuNPs) with glutathione (GSH) through hydrogen bonding and electrostatic interactions with functional groups on the surface of carbon dots (CDs). The resulting nanocomposite was employed as a fluorescence sensor for Co2+ detection. Under optimal conditions at pH 6.0, the sensor exhibited a good linear relationship over the Co2+ concentration range of 0.5–125.0 mM, with a limit of detection (LOD) of 0.38 mM. The interaction mechanism between Co2+ and the composite was systematically investigated using various characterization methods. The results indicated that Co2+, owing to its strong coordination ability, enriches on the surface of the composite, subsequently triggering dynamic fluorescence quenching via an electron transfer pathway. The sensor was successfully applied to determine Co2+ in mixed livestock and poultry feed samples, with recovery rates ranging from 89.4% to 103.9%, demonstrating its potential for on-site detection in feed analysis.

Authors

Institutions

Publication Details

Journal
Chemosensors
Published
2026-07-16
DOI
https://doi.org/10.3390/chemosensors14070168
Primary Topic
Carbon and Quantum Dots Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Co2+ Fluorescent Probe Based on Surface Complexation for On-Site Feed Detection

Jingjing He, Xuexia Lin, Min Ye, Huiting Lian
Chemosensors
Carbon and Quantum Dots Applications
article

A Co2+ Fluorescent Probe Based on Surface Complexation for On-Site Feed Detection

Jingjing He, Xuexia Lin, Min Ye, Huiting Lian
article en

Abstract

As a core component of vitamin B12, Co2+ is closely associated with the health, life performance, and productivity of ruminants. Therefore, the selective and sensitive detection of Co2+ is of great significance. In this work, using the Au–S bond as an “anchor”, a ternary nanocomposite (CDs-AuNPs-GSH) with synergistic functions was constructed by combining gold nanoparticles (AuNPs) with glutathione (GSH) through hydrogen bonding and electrostatic interactions with functional groups on the surface of carbon dots (CDs). The resulting nanocomposite was employed as a fluorescence sensor for Co2+ detection. Under optimal conditions at pH 6.0, the sensor exhibited a good linear relationship over the Co2+ concentration range of 0.5–125.0 mM, with a limit of detection (LOD) of 0.38 mM. The interaction mechanism between Co2+ and the composite was systematically investigated using various characterization methods. The results indicated that Co2+, owing to its strong coordination ability, enriches on the surface of the composite, subsequently triggering dynamic fluorescence quenching via an electron transfer pathway. The sensor was successfully applied to determine Co2+ in mixed livestock and poultry feed samples, with recovery rates ranging from 89.4% to 103.9%, demonstrating its potential for on-site detection in feed analysis.

ChemosensorsVol. 14(7)
Huaqiao University (CN)
Xiamen Municipal Bureau of Science and Technology, Fujian Provincial Department of Science and Technology
Responsible consumption and production
Openalex Percentile: Top 18%
Carbon and Quantum Dots Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.