Evaluation of the uncertainty of measuring semi-volatile organic compounds (SVOCs) in the flexible hose immersion solution by solid-phase extraction/gas chromatography-mass spectrometry (GC-MS)

Tingtimg Huang

doi:10.1117/12.2660422

31 October 2022 Evaluation of the uncertainty of measuring semi-volatile organic compounds (SVOCs) in the flexible hose immersion solution by solid-phase extraction/gas chromatography-mass spectrometry (GC-MS)

Tingtimg Huang

Author Affiliations +

Proceedings Volume 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022); 124571K (2022) https://doi.org/10.1117/12.2660422
Event: Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 2022, Changchun, China

Abstract

This study aimed at evaluating the uncertainty of the determination method of semi-volatile organic compounds by solid-phase extraction / GC-MS in flexible hose immersion solution with acetophenone as model. The determination method was set up according to GB/T 23448-2019 and GB/T 5750.8-2006. The various factors influencing the detection were comprehensively and systematically analyzed. The mathematical model of each component was established in the determination process. The influence of each uncertain component was evaluated to confirm the region of the detection consequence. The experimental results illustrated that in the sample which the content of acetophenone in flexible hose immersion solution was 5.01 mg/L, the uncertainty of the determination of U was 0.50 mg/L (k = 2, p = 95%). The standard solution preparation, instrument sampling, and immersion solution solid-phased extraction process were the primary factors influencing the uncertainty of the test.

Citation Download Citation

Tingtimg Huang "Evaluation of the uncertainty of measuring semi-volatile organic compounds (SVOCs) in the flexible hose immersion solution by solid-phase extraction/gas chromatography-mass spectrometry (GC-MS)", Proc. SPIE 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 124571K (31 October 2022); https://doi.org/10.1117/12.2660422

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