Carbon nanodots derived from glycine for rapid detection of caffeine in beverages

Caffeine, a widely consumed stimulant, requires precise monitoring in food and beverages to ensure consumer safety. However, conventional detection methods, such as high-performance liquid chromatography (HPLC), are time-consuming, costly, and equipment-intensive. To overcome these limitations, we present a novel fluorescent sensing platform based on glycine-derived carbon nanodots (Gly-CNDs) for rapid and cost-effective caffeine detection. Unlike existing sensors, our food-grade Gly-CNDs offer enhanced biocompatibility, stability, and selectivity while eliminating the need for complex synthesis or toxic reagents. The synthesized Gly-CNDs, with an average size of 4.2 ± 1.2 nm, exhibited a significant fluorescence enhancement upon caffeine binding, enabling highly sensitive detection within 39–2060 nM range with a low limit of detection (LOD) of 36.5 nM. Tested with beverage samples, this green method offers a promising alternative for monitoring caffeine in foods and could be applied to detect other contaminants and bioactive compounds. • A fast and cost-effective technique for measuring caffeine in food and drinks. • Carbon nanodots are derived from food-grade materials (glycine and sugars) to ensure food safety. • Glycine-carbon nanodots, averaging 4.2 ± 1.2 nm, were stabilized under different conditions. • The caffeine content closely aligns with the results obtained from the HPLC method. • The optimal experimental conditions are an acidic pH.

Authors

Institutions

Publication Details

Journal
Journal of Food Composition and Analysis
Published
2025-05-15
DOI
https://doi.org/10.1016/j.jfca.2025.107784
Citations
2
Primary Topic
Carbon and Quantum Dots Applications
Type
article
Field-Weighted Citation Impact
1.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Carbon nanodots derived from glycine for rapid detection of caffeine in beverages

Duyen H. H. Nguyen, Hassan El-Ramady, József Prokisch
2 citations
Journal of Food Composition and Analysis
Carbon and Quantum Dots Applications
1.04
article

Carbon nanodots derived from glycine for rapid detection of caffeine in beverages

Duyen H. H. Nguyen, Hassan El-Ramady, József Prokisch
article en
2 citations

Abstract

Caffeine, a widely consumed stimulant, requires precise monitoring in food and beverages to ensure consumer safety. However, conventional detection methods, such as high-performance liquid chromatography (HPLC), are time-consuming, costly, and equipment-intensive. To overcome these limitations, we present a novel fluorescent sensing platform based on glycine-derived carbon nanodots (Gly-CNDs) for rapid and cost-effective caffeine detection. Unlike existing sensors, our food-grade Gly-CNDs offer enhanced biocompatibility, stability, and selectivity while eliminating the need for complex synthesis or toxic reagents. The synthesized Gly-CNDs, with an average size of 4.2 ± 1.2 nm, exhibited a significant fluorescence enhancement upon caffeine binding, enabling highly sensitive detection within 39–2060 nM range with a low limit of detection (LOD) of 36.5 nM. Tested with beverage samples, this green method offers a promising alternative for monitoring caffeine in foods and could be applied to detect other contaminants and bioactive compounds. • A fast and cost-effective technique for measuring caffeine in food and drinks. • Carbon nanodots are derived from food-grade materials (glycine and sugars) to ensure food safety. • Glycine-carbon nanodots, averaging 4.2 ± 1.2 nm, were stabilized under different conditions. • The caffeine content closely aligns with the results obtained from the HPLC method. • The optimal experimental conditions are an acidic pH.

Journal of Food Composition and AnalysisVol. 145
Kafrelsheikh University (EG), University of Debrecen (HU), Vietnam Academy of Science and Technology (VN)
Zero hunger
Openalex Percentile: Top 25%
Carbon and Quantum Dots Applications
1.04
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.