School of Food Science and Engineering, Hainan University, Haikou 570228, PR China.
Materials Science and Engineering, Shanghai University, Shanghai 200444, PR China.
J Hazard Mater. 2024 Dec 5;480:135887. doi: 10.1016/j.jhazmat.2024.135887. Epub 2024 Sep 18.
The rapid, precise, and high-throughput identification of multiple heavy metals ions holds immense importance in ensuring food safety and promoting public health. This study presents a novel smartphone-assisted colorimetric sensor array for the rapid and precise detection of multiple heavy metals ions. The sensor array is based on three signal recognition elements (AuPt@Fe-N-C, AuPt@N-C, and Fe-N-C) and the presence of different heavy metal ions affects the nanozymes-chromogenic substrate (TMB) catalytic color production, enabling the differentiation and quantification of various heavy metal ions. Combined with a smartphone-based RGB mode, the colorimetric sensor array can successfully identify five different heavy metal ions (Hg, Pb, Co, Cr, and Fe) as low as 0.5 μM and different ratios of binary and ternary mixed heavy metal ions in just 5 min. The sensor array successfully tested seawater and salmon samples with a total heavy metal content of 10 μM in the South China Sea (Haikou and Wenchang). Overall, this study highlights the potential of smartphone-assisted colorimetric sensor arrays for the rapid and precise detection of multiple heavy metal ions, which could significantly contribute to food safety and public health monitoring.
快速、准确、高通量地识别多种重金属离子对于确保食品安全和促进公众健康具有重要意义。本研究提出了一种基于智能手机的新型比色传感器阵列，用于快速准确地检测多种重金属离子。该传感器阵列基于三个信号识别元件（AuPt@Fe-N-C、AuPt@N-C 和 Fe-N-C），不同重金属离子的存在会影响纳米酶-显色底物（TMB）的催化显色产率，从而实现各种重金属离子的区分和定量。结合基于智能手机的 RGB 模式，比色传感器阵列可以在 5 分钟内成功识别低至 0.5 μM 的五种不同重金属离子（Hg、Pb、Co、Cr 和 Fe）以及不同比例的二元和三元混合重金属离子。该传感器阵列还成功测试了中国南海（海口和文昌）总重金属含量为 10 μM 的海水和三文鱼样本。总的来说，本研究强调了智能手机辅助比色传感器阵列在快速准确检测多种重金属离子方面的潜力，这将对食品安全和公共卫生监测有重要贡献。
