Mingying Chen , Danni Wu , Xiaoye Deng , Junjie Ma , Hui Fan , Xiangru Huang , Peiwen Wang , Yingjie Li , Xiufen Liao , Lulu Si , Congjin Chen
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引用次数: 0
Abstract
In this study, we successfully synthesized self-nitrogen-doped carbon dots (N-CDs) from shrimp shells (waste biomass) via a hydrothermal process for tetracycline (TC) residue analysis in food. They exhibited excellent photostability, low toxicity, and a high fluorescence quantum yield (QY) of 9.72 %. Owing to the internal filtration effect (IFE) and static quenching effect (SQE), the fluorescence emission intensity of the N-CDs-based probe exhibited a marked decline concomitant with the augmentation of TC concentration. Under optimal circumstances, there was a robust linear relationship between the TC concentration (0–60 μM) and the system's degree of fluorescence quenching ((F0-F)/F0), with a low detection limit of 96 nM. The developed fluorescent probe was effectively applied to detect TC in milk and egg samples, achieving a relative standard deviation from 1.4 % to 3.2 % and recoveries from 98.2 % to 109.7 %, comparable to the standard high-performance liquid chromatography (HPLC) method. In conclusion, shrimp shell-derived N-CDs hold great potential as fluorescent probes for highly sensitive, selective, accurate and real-time TC detection, which is important in ensuring food safety.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.