Wu Hongbo, Xie Ruyan, Hao Yunqi, Pang Jingyu, Gao Hong, Qu Fengyu, Tian Miaomiao, Guo Changhong, Mao Baodong, Chai Fang
Key Laboratory of Molecular Cytogenetics and Genetic Breeding, College of Life Science and Technology, Harbin Normal University, Harbin 150025, Heilongjiang Province, China; Key Laboratory of Photochemical Biomaterials and Energy Storage Materials, Heilongjiang Province, Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, Heilongjiang Province, China.
Key Laboratory of Photochemical Biomaterials and Energy Storage Materials, Heilongjiang Province, Key Laboratory for Photonic and Electronic Bandgap Materials, Ministry of Education, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, Heilongjiang Province, China.
Food Chem. 2023 Aug 30;418:135961. doi: 10.1016/j.foodchem.2023.135961. Epub 2023 Mar 21.
Detection of heavy metals have been pivotal due to their non-biodegradability and food chain accumulation. Herein, a multivariate ratiometric sensor was developed by in situ integrating AuAg nanoclusters (NCs) into electrospun cellulose acetate nanofibrous membranes (AuAg-ENM) for visual detection of Hg, Cu and consecutive sensing of l-histidine (His), which was integrated into a smartphone platform for quantitative on-site detection. AuAg-ENM achieved multivariate detection of Hg and Cu by fluorescence quenching, and subsequent selective recovery of the Cu-quenched fluorescence by His, which distinguished Hg and Cu and fulfilled determination of His simultaneously. Notably, AuAg-ENM achieved selective monitoring of Hg, Cu and His in water, food and serum samples with high accuracy comparable to ICP and HPLC tests. A logic gate circuit was devised to further explain and promote the application of AuAg-ENM detection by smartphone App. This portable AuAg-ENM provides a promising reference for fabricating intelligent visual sensors for multiple detection.
由于重金属具有不可生物降解性和在食物链中的累积性，对其进行检测至关重要。在此，通过将金银纳米团簇（NCs）原位整合到电纺醋酸纤维素纳米纤维膜（AuAg-ENM）中，开发了一种多变量比率传感器，用于可视化检测汞、铜以及连续传感L-组氨酸（His），该传感器被集成到智能手机平台上进行现场定量检测。AuAg-ENM通过荧光猝灭实现了对汞和铜的多变量检测，随后His选择性地恢复了被铜猝灭的荧光，从而区分了汞和铜并同时实现了对His的测定。值得注意的是，AuAg-ENM能够在水、食品和血清样品中对汞、铜和His进行选择性监测，其高精度可与电感耦合等离子体质谱（ICP）和高效液相色谱（HPLC）测试相媲美。设计了一个逻辑门电路，以通过智能手机应用程序进一步解释和促进AuAg-ENM检测的应用。这种便携式AuAg-ENM为制造用于多重检测的智能视觉传感器提供了有前景的参考。
