Key Laboratory of Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing, 400044, PR China.
Chongqing University Three Gorges Hospital, Chongqing, 404000, PR China.
Anal Methods. 2021 Nov 25;13(45):5478-5486. doi: 10.1039/d1ay01431e.
Aldehydes are very common pollutants and many are possible human carcinogens. Herein, we report an easy-to-operate and low-cost method for discrimination of diverse aldehydes. Our colorimetric sensor array based on Tollens' reagent allows discrimination of ten kinds of aldehydes, showing a distinct color change from wine-red to deep yellow. In the presence of aldehydes, Ag shells are coated onto gold nanoparticles (GNPs) functionalized with diverse ligands (including bovine serum albumin, polyvinylpyrrolidone and L-cysteine), forming Au@Ag core-shell nanoparticles. The sensor array has great capacity for differentiating between ten kinds of aldehydes by color change, with accuracy and specificity of over 88%. Under optimal conditions, there is good linear correlation between Euclidean distance and formaldehyde concentrations ranging from 0.1 to 10 000 μM ( = 0.9908). The sensor was successfully used to determine formaldehyde content in shrimp, with recovery of 85.8% to 114.82%. Our GNPs sensor shows good potential for fast, reliable identification of aldehydes in food.
醛类是非常常见的污染物，其中许多具有潜在的人类致癌性。在此，我们报告了一种操作简单、成本低廉的方法，用于鉴别不同的醛类。我们基于 Tollens 试剂的比色传感器阵列可用于鉴别十种醛类，其颜色从酒红色变为深黄色，有明显的变化。在醛类存在的情况下，Ag 壳被涂覆到功能化有不同配体（包括牛血清白蛋白、聚乙烯吡咯烷酮和 L-半胱氨酸）的金纳米粒子（GNPs）上，形成 Au@Ag 核壳纳米粒子。该传感器阵列通过颜色变化对十种醛类具有很好的区分能力，准确率和特异性均超过 88%。在最佳条件下，Euclidean 距离与甲醛浓度（0.1 至 10,000 μM）之间呈良好的线性相关关系（r = 0.9908）。该传感器成功用于测定虾中的甲醛含量，回收率为 85.8%至 114.82%。我们的 GNPs 传感器在快速、可靠地鉴定食品中的醛类方面显示出良好的潜力。
