发表机构
CAS Key Laboratory of High Magnetic Field and Iron Beam Physical Biology, Institute of Intelligent Machines, Hefei Institute of Physical Sciences, Chinese Academy of Sciences; College of Integrated Circuits, Southeast University; NOMATEN Centre of Excellence, National Centre for Nuclear Research; School of Life Sciences, Anhui Agricultural University; Science Island Branch of Graduate School, University of Science and Technology of China; School of Metallurgy Engineering, Anhui University of Technology; Warsaw University of Technology, Faculty of Mechatronics（中国科学院合肥物质科学研究院智能机械研究所高磁场与铁束物理生物学重点实验室; 东南大学集成电路学院; 波兰国家核研究中心NOMATEN卓越中心; 安徽农业大学生命科学学院; 中国科学技术大学研究生院科学岛分院; 安徽工业大学冶金工程学院; 华沙理工大学机电工程学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究开发了一种集成SERS和比色检测的双模式水凝胶传感器，利用AgNCs@Co-Ni LDH和MBTH实现呼出气中己醛的高灵敏检测，检测限达3.34×10⁻¹³ M，并引入CNN智能识别系统，为肺癌早期筛查提供了新工具。
AI 中文摘要
己醛是一种挥发性有机化合物（VOC），是肺癌早期检测的潜在生物标志物。在本研究中，我们开发了一种双模式柔性生物传感器，集成了表面增强拉曼散射（SERS）和比色检测，用于定量分析人体呼出气中的己醛。该生物传感器采用Co-Ni层状双氢氧化物包裹的银纳米立方体（AgNCs@Co-Ni LDH）作为功能基质，兼具优异的SERS增强和高效的VOC吸附性能。为实现选择性检测，将AgNCs@Co-Ni LDH与3-甲基-2-苯并噻唑啉酮腙（MBTH）一起掺入琼脂糖水凝胶中。所得MBTH-AgNCs@Co-Ni LDH/水凝胶贴片促进己醛的氧化，实现比色和SERS信号的同步产生，同时生成吖啶橙——一种蓝色反应产物。这种基于水凝胶的双模式传感平台在SERS检测己醛方面表现出高选择性、优异的稳定性和精密度。SERS方法的检测限低至3.34×10⁻¹³ M。此外，我们开发并优化了紧凑型基于CNN的多终端智能识别系统，通过AI驱动、便携式和实时比色分析增强水凝胶贴片的检测能力。因此，这项工作不仅能够有效检测疑似肺癌患者呼出气中的己醛，凸显其在肺癌早期筛查中的潜力，还为开发用于更广泛疾病诊断的多模态水凝胶生物传感器奠定了基础。
英文摘要
Hexanal, a volatile organic compound (VOC), is a potential biomarker for the early detection of lung cancer. In this study, we developed a dual-mode flexible biosensor that integrates surface-enhanced Raman scattering (SERS) and colorimetric detection for the quantitative analysis of hexanal in human exhaled breath. The biosensor employs Ag nanocubes wrapped with Co-Ni layered double hydroxide (AgNCs@Co-Ni LDH) as a functional matrix, offering both superior SERS enhancement and efficient VOC adsorption properties. To achieve selective detection, AgNCs@Co-Ni LDH were incorporated into agarose hydrogels along with 3-methyl-2-benzothiazolinone hydrazone (MBTH). The resulting MBTH-AgNCs@Co-Ni LDH/hydrogel-patch facilitate the oxidation of hexanal, enabling simultaneous colorimetric and SERS signal generation, while producing acrizine, a blue-colored reaction product. This hydrogel-based dual-mode sensing platform exhibits high selectivity, excellent stability, and precision in SERS-based hexanal detection. The detection limit for the SERS method was determined to be as low as 3.34x10-13 M. Furthermore, developed and optimized compact CNN-based multi-terminal intelligent recognition system for enhanced hydrogel-patch detection through AI-driven, portable, and real-time colorimetric analysis. Therefore, this work not only enables the effective detection of hexanal in the exhaled breath of suspected lung cancer patients, underscoring its potential for early lung cancer screening, but also establishes a foundation for the development of multimodal hydrogel biosensors for broader applications in disease diagnosis.
