Citation: NIE Xin-Ming, CHEN Zheng-Yi, ZONG Cheng-Hua, FAN Meng-Bao, CHEN Si. A Rapid On-site Detection System for Volatile Pollutants in Environment[J]. Chinese Journal of Analytical Chemistry, ;2020, 48(8): 981-989. doi: 10.19756/j.issn.0253-3820.201165 shu

A Rapid On-site Detection System for Volatile Pollutants in Environment

1.
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China;
2.
School of Pharmacy, Guilin Medical University, Guilin 541199, China;
3.
School of Chemical Engineering & Materials Science, Jiangsu Normal University, Xuzhou 221116, China;
4.
School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China

Received Date: 11 February 2020
Revised Date: 14 May 2020

Fund Project: This work was supported by the National Natural Science Foundation of China (No. 21804060), the Natural Science Foundation of Higher Education Institutions of Jiangsu Province (No.17KJB510017).

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 0.104 μg/g and RSD of 4.2%-6.2%. The result showed that the experimental data were reproducible.
- Surface-Enhanced Raman scattering,
- Volatile organic pollutants,
- Portable,
- Purge and trap,
- Man-machine interaction
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沈阳化工大学材料科学与工程学院沈阳 110142