{"title":"Detection of tartrazine with fluorescence sensor from crayfish shell carbon quantum dots","authors":"Linjing He , Hongying Du","doi":"10.1016/j.jfca.2023.105200","DOIUrl":null,"url":null,"abstract":"<div><p>As a typical water-soluble synthetic azo pigment, tartrazine<span><span> is widely used in food<span> 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 </span></span>thermodynamic analysis<span><span> revealed that the fluorescence quenching<span><span> was a spontaneous static quenching and mainly driven by van der Waals interactions and </span>hydrogen bonds. Furthermore, the CS-CQDs sensor was applied in energy beverage and </span></span>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.</span></span></p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"118 ","pages":"Article 105200"},"PeriodicalIF":4.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157523000741","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
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.
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.