Monitoring of monoethylene glycol in gas condensate samples using a 3D printed batch injection analysis cell coupled with cupric oxide sensing electrode for amperometric detection

Abstract

This study describes the development and use of a 3D printed batch injection analysis cell to monitor monoethylene glycol in gas condensate samples based on amperometric detection employing a Cu/CuO working electrode. Sample injection was performed with an electronic micropipette by dispensing 15 μL of sample under a flow rate of 4.0 μL s−1. The detection potential was optimized to minimize possible interferences, such as other diols and ethanol. The proposed approach allowed rapid analysis (ca. 30 s) and provided a limit of detection of 0.45 mmol L−1. Four real samples were analyzed, and the results did not statistically differ from those obtained by a reference method at a confidence level of 95%. Recovery tests were performed and revealed values between 82 and 109%, thus demonstrating acceptable accuracy. In comparison with a reference method, the proposed approach offered a suitable green analytical chemistry profile. Based on the reported data, the use of batch injection analysis with amperometric detection emerges as a portable and reliable analytical tool for monitoring monoethylene glycol with a huge potential for on-site analysis.