A novel fluorescence sensing method based on quantum dot-graphene and a molecular imprinting technique for the detection of tyramine in rice wine. Issue 31 (1st August 2018)

• Record Type: Journal Article
• Authors: Wang, Qinghua; Zhang, Dongdong
• Is Part Of: Analytical methods. Volume 10:Issue 31(2018)
• Page Start: 3884
• Page End: 3889
• Publication Date: 2018-08-01
• Subjects: Chemistry, Analytic -- Periodicals; Analytical biochemistry -- Periodicals; Chemical laboratories -- Standards -- Periodicals; 543.1905
• DOI: 10.1039/c8ay01117f
• Languages: English
• ISSNs: 1759-9660

Abstract

Abstract : Tyramine, an important biogenic amine, occurs in high amounts in certain processed food products and can cause adverse health effects in people. Abstract : Tyramine, an important biogenic amine, occurs in high amounts in certain processed food products and can cause adverse health effects in people. In this study, we developed a simple method to produce a molecularly imprinted fluorescence sensor with high sensitivity and selectivity for tyramine. The reverse microemulsion method was applied to prepare a carrier material, hydrophobic CdSe/ZnS quantum dots (QDs) sensitized with carboxylated graphene (Gra), which was added to the reaction for synthesizing molecularly imprinted polymers (MIPs) using 3-mercaptopropyltriethoxysilane (MPTES) as the functional monomer and tetraethylorthosilicate (TEOS) as the crosslinking agent in the presence of tyramine as the target molecule. The novel sensing material, Gra-QDs@MIPs, was selective for tyramine and generated a concentration-dependent fluorescence signal. Under optimized conditions, the limit of detection was 0.021 mg L −1 and the linear range of detection was 0.07–12 mg L −1 . Importantly, we tested the performance of the Gra-QDs@MIPs with real-world samples by demonstrating that they selectively detected around 0.08 or 2 mg L −1 of tyramine in spiked rice wine samples. Hence, the described molecularly imprinted fluorescence sensor for tyramine could serve as a prototype for developing MIP-based assays for food analysis.