Detection of tartrazine with fluorescence sensor from crayfish shell carbon quantum dots

IF 4 2区 农林科学 Q2 CHEMISTRY, APPLIED
Linjing He , Hongying Du
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引用次数: 4

Abstract

As a typical water-soluble synthetic azo pigment, tartrazine is widely used in food products, and its abuse was harmful to our health. Hence, it is very important to establish a facile and economical method to detect the tartrazine content in food. In the current study, the crayfish shell carbon quantum dots (CS-CQDs) were prepared through a facile hydrothermal approach from crayfish shells. The CS-CQDs exhibited strong fluorescent emissions at 462 nm under the excitation wavelength of 380 nm. The CS-CQDs were demonstrated to react with the synthetic pigments tartrazine selectively and effectively with a limit of detection (LOD) of 0.48 μM in the linear range of 0–70 μM. The Stern-Volmer equation and thermodynamic analysis revealed that the fluorescence quenching was a spontaneous static quenching and mainly driven by van der Waals interactions and hydrogen bonds. Furthermore, the CS-CQDs sensor was applied in energy beverage and durian candy samples with acceptable recovery of 92.7–104.5% and low RSD. Finally, we successfully designed a fluorescent test strip using CS-CQDs and filter paper. The current CS-CQDs had the potential ability to construct a simple paper strip for the detection of tartrazine in the future, which was useful for the food industry.

小龙虾壳碳量子点荧光传感器检测酒黄石
柠檬黄作为一种典型的水溶性合成偶氮颜料,广泛应用于食品中,其滥用危害人类健康。因此,建立一种简便、经济的检测食品中柠檬黄含量的方法具有重要意义。在目前的研究中,通过简单的水热方法从小龙虾壳中制备了小龙虾壳碳量子点。CS CQD在380nm的激发波长下在462nm处表现出强荧光发射。CS CQD被证明与合成颜料柠檬黄选择性有效地反应,在0–70μM的线性范围内检测限(LOD)为0.48μM。Stern-Volmer方程和热力学分析表明,荧光猝灭是一种自发的静态猝灭,主要由范德华相互作用和氢键驱动。此外,CS CQDs传感器应用于能量饮料和榴莲糖样品,回收率为92.7–104.5%,RSD较低。最后,我们使用CS CQD和滤纸成功地设计了荧光测试条。目前的CS CQD有可能在未来构建一种简单的试纸条来检测酒石嗪,这对食品工业很有用。
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
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.
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