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作 者:聂新明 陈正毅 宗成华 范孟豹[1] 陈斯 NIE Xin-Ming;CHEN Zheng-Yi;ZONG Cheng-Hua;FAN Meng-Bao;CHEN Si(School of Mechatronic Engineering,China University of Mining and Technology,Xuzhou 221116,China;School of Pharmacy,Guilin Medical University,Guilin 541199,China;School of Chemical Engineering&Materials Science,Jiangsu Normal University,Xuzhou 221116,China;School of Physics and Electronic Engineering,Jiangsu Normal University,Xuzhou 221116,China)
机构地区:[1]中国矿业大学机电工程学院,徐州221116 [2]桂林医学院药学院,桂林541199 [3]江苏师范大学化学与材料科学学院,徐州221116 [4]江苏师范大学物理与电子工程学院,徐州221116
出 处:《分析化学》2020年第8期981-989,共9页Chinese Journal of Analytical Chemistry
基 金:国家自然科学基金项目(No.21804060);江苏省高校面上自然科学基金项目(No.17KJB510017)资助。
摘 要:表面增强拉曼散射(Surface-enhanced Raman scattering,SERS)光谱技术检测挥发性有机污染物,具有检测速度快、灵敏度高以及可指纹识别等优点,但常规SERS技术存在前处理设备体积庞大、人机交互性不足、操作不便等问题,限制了其在现场检测中的使用。本研究构建了可用于现场实时检测的便携式检测系统。此系统提供了一种微型化便携式吹扫捕集装置,用于挥发性样品的前处理富集,具有样品用量少、耗时短等特点;搭载了微型化拉曼光学检测模块,采用ARM+CPLD(Advanced RISC Machine&Complex Programmable Logic Device)双核主控模式,引入Android操作系统,使用人机直接交互的模式实现挥发性有害物质的现场实时定量检测。以土壤中苯硫酚为检测模型,以金纳米颗粒(AuNPs)为增强基底,利用此系统对土壤中的苯硫酚进行了定性和定量分析,检出限为0.104μg/g,RSD在4.2%~6.2%之间,整体实验结果重现性良好。Surface-enhanced Raman scattering(SERS)spectroscopy technology can be used to detect volatile organic pollutants with many advantages such as fast detection speed,high sensitivity and fingerprint recognition.However,the pre-processing equipment in conventional SERS is bulky and has insufficient human-computer interaction and inconvenient operation.All these issues limit its applications to onsite tests.In this work,a portable detection system was developed for onsite and real-time detections.This system provided a miniaturized portable purge and trap device for the enrichment of volatile samples in pretreatment.It had the characteristics of low consumption of samples and short consumption of time.Meanwhile,it was also equipped with a miniaturized Raman optical detection module that adopted ARM+CPLD(Advanced RISC Machine&Complex Programmable Logic Device)dual-core control mode and Android operating system.These features enabled the device realizing the real-time quantitative detection of volatile and harmful substances onsite in human-machine direct interaction mode.For example,by using thiophenol in the soil as the detection target and gold nanoparticles as the enhanced substrate,the developed system was used to quantitatively analyze the thiophenol level in the soil,with detection limit of 0.104μg/g and RSD of 4.2%-6.2%.The result showed that the experimental data were reproducible.
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