School of Chemistry and Materials Engineering, Xinxiang University, Xinxiang 453003, China.
Department of Chemistry, Capital Normal University, Beijing, 100048, China.
Food Chem. 2024 Dec 15;461:140938. doi: 10.1016/j.foodchem.2024.140938. Epub 2024 Aug 21.
At present, the combination of fingerprint recognition methods and environmentally friendly and economical analytical instruments is becoming increasingly important in the food industry. Herein, a dithiothreitol (DTT)-functionalized CsPbBr-based colorimetric sensor array is developed for qualitatively differentiating multiple food oils. In this sensor array composition, two types of iodides (octadecylammonium iodide (ODAI) and ZnI) are used as recognition elements, and CsPbBr is used as a signal probe for the sensor array. Different food oils oxidize iodides differently, resulting in different amounts of remaining iodides. Halogen ion exchange occurs between the remaining iodides and CsPbBr, leading to different colors observed under ultraviolet light, enabling a unique fingerprint for each food oil. A total of five food oils exhibit their unique colorimetric array's response patterns and were successfully differentiated by linear discriminant analysis (LDA), realizing 100% classification accuracy.
目前,在食品工业中,将指纹识别方法与环保、经济的分析仪器相结合变得越来越重要。在此,开发了一种二硫苏糖醇(DTT)功能化的基于 CsPbBr 的比色传感器阵列,用于定性区分多种食用油。在这个传感器阵列组成中,两种类型的碘化物(十八烷基碘化铵(ODAI)和 ZnI)被用作识别元件,而 CsPbBr 则被用作传感器阵列的信号探针。不同的食用油对碘化物的氧化方式不同,导致剩余碘化物的量也不同。剩余碘化物与 CsPbBr 之间发生卤素离子交换,导致在紫外光下观察到不同的颜色,从而为每种食用油提供独特的指纹。共有五种食用油表现出其独特的比色阵列响应模式,并通过线性判别分析(LDA)成功区分,实现了 100%的分类准确率。