We describe a concept study in which the changes of concentration of benzene, toluene, ethylbenzene, and xylene (BTEX) compounds and styrene within a 3D printer enclosure during printing with different acrylonitrile butadiene styrene (ABS) filaments were monitored in real-time using a proton transfer reaction mass spectrometer and an electronic nose. The quantitative data on the concentration of the BTEX compounds, in particular the concentration of carcinogenic benzene, were then used as reference values for assessing the applicability of an array of low-cost electrochemical sensors in monitoring the exposure of the users of consumer-grade fused deposition modelling 3D printers to potentially harmful volatiles. Using multivariate statistical analysis and machine learning, it was possible to determine whether a set threshold limit value for the concentration of BTEX was exceeded with a 0.96 classification accuracy and within a timeframe of 5 min based on the responses of the chemical sensors.

中文翻译：

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电子鼻和质子转移反应质谱技术监测丙烯腈-丁二烯-苯乙烯（ABS）3D打印过程中的BTEX挥发物

我们描述了一项概念研究，其中使用不同的丙烯腈丁二烯苯乙烯（ABS）细丝实时监控3D打印机外壳内苯，甲苯，乙苯和二甲苯（BTEX）化合物和苯乙烯浓度的变化。质子转移反应质谱仪和电子鼻。然后，将有关BTEX化合物浓度（尤其是致癌苯浓度）的定量数据用作参考值，以评估一系列低成本电化学传感器在监测消费级电熔炉用户暴露中的适用性沉积建模3D打印机以识别潜在有害的挥发物。使用多元统计分析和机器学习，