基于蒸腾驱动的柞蚕超纤纸电化学传感器的设计、制备及其溶剂在线鉴别应用研究
Design,Preparation,and Solvent Identification Application of Antheraea pernyi Silk Paper-based Electrochemical Sensor
孙奕 1吴伟 2文飘 1任婧 1郑可 2高文丽 1凌盛杰3
作者信息
- 1. 上海科技大学物质科学与技术学院 上海 201210
- 2. 安徽农业大学材料与化学学院 合肥 230023
- 3. 上海科技大学物质科学与技术学院 上海 201210;先进医用材料与医疗器械全国重点实验室(上海科技大学);上海临床医学中心 上海 201210
- 折叠
摘要
以具有优异耐溶剂性能的柞蚕超纤纸为基材,结合二硫化钼(MoS2)功能单元,成功开发出一种可持续、高灵敏的柞蚕超纤纸电化学传感器.该传感器的电化学传感原理源于蒸腾驱动的发电机制.由于不同溶剂与传感器产生不同的相互作用,从而产生具有差异性的蒸腾驱动电信号.虽然这些电信号具有谱带形状的复杂性,缺乏尖锐峰或特异性的突变点,但对特定溶剂体系展现出高度可重复的变化趋势.因此,进一步采用前馈神经网络构建了基于柞蚕超纤纸电化学传感器的溶剂识别模型,以处理和分析这些复杂但重复性高的电信号.所构建的AI驱动的柞蚕超纤纸电化学传感器不仅能准确鉴别化学结构和性质高度相似的溶剂如甲醇、乙醇、异丙醇和去离子水等,还能识别化学性质相似的混合溶剂体系,如不同比例的乙醇和水的混合溶剂体系.在100次的识别测试中,准确率为100％.本研究所开发的AI驱动的柞蚕超纤纸电化学传感器为实现快速、准确的溶剂检测提供了一种便捷、经济有效的方法,在酒精检测、环境监测和化学分析等领域具有重要意义.
Abstract
This study focuses on the development of a sustainable and highly sensitive Antheraea pernyi(A.pernyi)silk paper-based electrochemical sensor,utilizing the excellent solvent resistance of silk paper as the substrate and incorporating molybdenum disulfide(MoS2)functional units.The electrochemical sensing principle of this sensor is based on a transpiration-driven electricity generation mechanism.Different solvents interact distinctly with the sensor,resulting in transpiration-driven electrical signals with varying characteristics.Although these electrical signals display complex band-shaped patterns lacking sharp peaks or specific mutation points,they exhibit highly reproducible trends for specific solvent systems.Consequently,this study further employs a feedforward neural network to construct a solvent identification model based on the oak silk fibroin ultrafine paper electrochemical sensor.This model processes and analyzes these complex yet highly repetitive electrical signals.The AI-driven A.pernyi silk paper-based electrochemical sensor not only accurately identifies solvents with highly similar chemical structures and properties,such as methanol,ethanol,isopropanol,and deionized water,but also recognizes chemically similar mixed solvent systems,like varying proportions of ethanol-water mixtures.In 100 identification tests,the accuracy was 100％.The development of this AI-driven A.pernyi silk paper-based electrochemical sensor offers a convenient,cost-effective method for rapid and accurate solvent detection,holding significant implications in fields such as alcohol testing,environmental monitoring,and chemical analysis.
关键词
柞蚕超纤纸/共熔溶剂/分子解聚/电化学传感器/深度学习Key words
Silk paper/Eutectic solvent/Depolymerization/Electrochemical sensor/Deep learning引用本文复制引用
基金项目
国家自然科学基金(21935002)
国家自然科学基金(52322305)
国家自然科学基金(22105003)
出版年
2024
NETL
NSTL
万方数据