Bai Pengli, Zhong Jiajun, Tang Yuguo, Gu Tongxu
School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Suzhou, Jiangsu 215163, China; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China.
Jihua Laboratory, No.28 Island Ring South Road, Guicheng Street, Nanhai District, Foshan, Guangdong 528200, China.
J Hazard Mater. 2025 Aug 15;494:138460. doi: 10.1016/j.jhazmat.2025.138460. Epub 2025 May 1.
A reliable and convenient nitrite detection method is crucial for environmental monitoring and food safety. This study presents a novel dual-response nitrite detection platform utilizing monodisperse, water-stable, and lychee-like CsPbCl: Mn@MSN@MnO (ClMnM@MnO) nanocomposites. The in-situ growth of perovskite nanocrystals within mesoporous silica nano-templates (MSN) significantly enhances the dispersion and stability of the nanocomposites in water. Mn doping introduces a second emission center, enabling potential post-synthetic designability. The MnO shell, synthesized through NaClO-mediated oxidation, exhibits excellent oxidase (OXD)-like activity. By integrating the nanocomposites with a microfluidic paper-based device (μPAD), we developed a portable system for quantitative nitrite detection by analyzing smartphone-captured images under both room and UV light. With the aid of machine learning (ML) through the ANN algorithm, this platform achieves nitrite concentration prediction and antioxidant additive discrimination, thereby expanding perovskite applications in biosensing and offering innovative solutions for nitrite detection in complex matrices.
一种可靠且便捷的亚硝酸盐检测方法对于环境监测和食品安全至关重要。本研究提出了一种新型双响应亚硝酸盐检测平台，该平台利用了单分散、水稳定且类似荔枝的CsPbCl:Mn@MSN@MnO（ClMnM@MnO）纳米复合材料。钙钛矿纳米晶体在介孔二氧化硅纳米模板（MSN）内原位生长，显著提高了纳米复合材料在水中的分散性和稳定性。锰掺杂引入了第二个发射中心，实现了潜在的合成后可设计性。通过NaClO介导的氧化合成的MnO壳表现出优异的类氧化酶（OXD）活性。通过将纳米复合材料与微流控纸基器件（μPAD）集成，我们开发了一种便携式系统，用于通过分析在室内光和紫外光下智能手机拍摄的图像来定量检测亚硝酸盐。借助通过人工神经网络（ANN）算法的机器学习（ML），该平台实现了亚硝酸盐浓度预测和抗氧化添加剂鉴别，从而扩展了钙钛矿在生物传感中的应用，并为复杂基质中亚硝酸盐的检测提供了创新解决方案。
