Tian Shuangshuang, Chen Liqiang, Zhang Jinghua, Zhang Hong, Sheng Liangquan, Wang Xinxin, Huang Deqian
School of Chemistry and Material Engineering, Fuyang Normal University, Anhui, Fuyang 236037, PR China.
School of Chemistry and Material Engineering, Fuyang Normal University, Anhui, Fuyang 236037, PR China; Engineering Research Centre of Biomass Conversion and Pollution Prevention Control of Anhui Provincial Department of Education, Fuyang Normal University, Anhui, Fuyang 236037, PR China; Anhui Provincial Key Laboratory for Degradation and Monitoring of Pollution of the Environment, Fuyang Normal University, Anhui, Fuyang 236037, PR China.
Food Chem. 2024 Aug 1;448:139162. doi: 10.1016/j.foodchem.2024.139162. Epub 2024 Mar 28.
Carbon nitride nanoflower materials (CNNFs) modified electrodes were prepared and used as electrochemiluminescence (ECL) sensors for the sensitive detection of melatonin (MT) in food. The luminescence intensity of CNNFs is increased by 4.6 times compared with bulk g-CN. In addition, the effect of dissolved oxygen on the material was eliminated, and the stability of ECL intensity of CNNFs was improved. Under the optimal experimental conditions, there is a good linear relationship between the ECL intensity ratio and logC in a concentration range of 2.0 × 10-1.0 × 10 mol/L, and the detection limit is 6.2 × 10 mol/L. This experiment has been successfully used for the detection of MT in rice, black rice, oats, apples, bananas, grapes, carrots, tomatoes, cucumbers, bread, and beers. The results are consistent with those obtained by high-performance liquid chromatography (HPLC). Therefore, this sensor is a sensitive and effective method for detecting MT content in food.
制备了氮化碳纳米花材料（CNNFs）修饰电极，并将其用作电化学发光（ECL）传感器，用于灵敏检测食品中的褪黑素（MT）。与块状g-CN相比，CNNFs的发光强度提高了4.6倍。此外，消除了溶解氧对该材料的影响，提高了CNNFs的ECL强度稳定性。在最佳实验条件下，在2.0×10⁻¹.0×10 mol/L浓度范围内，ECL强度比值与logC之间存在良好的线性关系，检测限为6.2×10⁻⁸ mol/L。该实验已成功用于大米、黑米、燕麦、苹果、香蕉、葡萄、胡萝卜、西红柿、黄瓜、面包和啤酒中MT的检测。结果与高效液相色谱法（HPLC）所得结果一致。因此，该传感器是检测食品中MT含量的一种灵敏且有效的方法。
