Dynamic pyrolytic reaction mechanisms, pathways, and products of medical masks and infusion tubes.

Dynamic pyrolytic reaction mechanisms, pathways, and products of medical masks and infusion tubes.
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DOI:
10.1016/j.scitotenv.2022.156710
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发表时间:
2022-10-10
影响因子:
9.8
通讯作者:
He, Yao
He, Yao
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Xu, Weijie;Liu, Jingyong;Ding, Ziyi;Fu, Jiawei;Evrendilek, Fatih;Xie, Wuming;He, Yao

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在COVID-19疫情下,危险医疗废物的数量空前增加。采用热重分析、红外光谱分析、热重-傅里叶变换红外光谱分析和热裂解-气相色谱/质谱分析等方法,对医用口罩带(MB)、口罩面(MF)和输液管(IT)的热裂解机理和挥发产物进行了表征和验证。采用等转化率法估算活化能,采用最佳拟合人工神经网络进行多目标优化。MB和MF分别在375.8 °C和414.7 °C开始其热失重,而IT在227.3 °C开始降解。平均活化能估计为171.77,232.79,105.14,和205.76 kJ/mol的MB,MF,和第一和第二IT阶段,分别。MF和MB的成核生长和IT的几何收缩最好地描述了热解行为。对它们的主要气体产物进行了分类,并进一步提出了它们的初始裂解机理和二次反应途径。
Given the COVID-19 epidemic, the quantity of hazardous medical wastes has risen unprecedentedly. This study characterized and verified the pyrolysis mechanisms and volatiles products of medical mask belts (MB), mask faces (MF), and infusion tubes (IT) via thermogravimetric, infrared spectroscopy, thermogravimetric-Fourier transform infrared spectroscopy, and pyrolysis-gas chromatography/mass spectrometry analyses. Iso-conversional methods were employed to estimate activation energy, while the best-fit artificial neural network was adopted for the multi-objective optimization. MB and MF started their thermal weight losses at 375.8 °C and 414.7 °C, respectively, while IT started to degrade at 227.3 °C. The average activation energies were estimated at 171.77, 232.79, 105.14, and 205.76 kJ/mol for MB, MF, and the first and second IT stages, respectively. Nucleation growth for MF and MB and geometrical contraction for IT best described the pyrolysis behaviors. Their main gaseous products were classified, with a further proposal of their initial cracking mechanisms and secondary reaction pathways.
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