Trenched microwave resonator integrated with porous PDMS for detection and classification of VOCs with enhanced performance

Zhiqiang Ma; Mengyao Fu; Chenyang Gao; Shuyu Fan; Haozhen Chi; Wei Li; Dibo Hou; Yunqi Cao

doi:10.1016/j.jhazmat.2024.134553

Trenched microwave resonator integrated with porous PDMS for detection and classification of VOCs with enhanced performance

J Hazard Mater. 2024 May 7:472:134553. doi: 10.1016/j.jhazmat.2024.134553. Online ahead of print.

Authors

Zhiqiang Ma¹, Mengyao Fu¹, Chenyang Gao¹, Shuyu Fan¹, Haozhen Chi¹, Wei Li², Dibo Hou¹, Yunqi Cao³

Affiliations

¹ College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China.
² College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210046, China.
³ College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China. Electronic address: caoyunqi@zju.edu.cn.

PMID: 38735191
DOI: 10.1016/j.jhazmat.2024.134553

Abstract

Microwave resonators combined with polymer absorption layers are widely used in volatile organic compound (VOC) detection based on their variable resonant frequencies. However, the response time is limited due to the polymer's slow volumetric absorption of VOC molecules. By constructing a porous structure in Polydimethylsiloxane (PDMS), resulting in reduced the response time to as short as 71.1%. To mitigate the sensitivity decline caused by the porous PDMS, a trenched-substrate complementary split-ring resonator (CSRR) is proposed for enhancing the interaction between the electromagnetic fields (EMFs) and the porous PDMS with VOCs. The removal of the substrate beneath CSRR's sensing region enhances the effective EMF, increasing frequency and amplitude sensitivities up to 175.5% and 137.8%, respectively. Responses to four common VOCs by the sensor show a maximum sensitivity of 217 Hz/ppm and a minimum limit of detection of 295 ppm. Additionally, resonant parameters and extracted lumped parameters are utilized to establish two decision-tree-based VOC classification models, achieving high accuracies of 98.71% and 99.59%, respectively. And the latter one fully utilizing responses throughout the swept band, proves superior in identifying similar substances. This sensor technology helps promote the sensitive detection and accurate classification of diverse VOCs.

Keywords: Complementary split-ring resonator (CSRR); Microwave sensors; Porous polydimethylsiloxane; VOC classification; Volatile organic compound (VOC) detection.