Johnson Kristen N, Li Yixin, Ezell Michael J, Lakey Pascale S J, Shiraiwa Manabu, Finlayson-Pitts Barbara J
Department of Chemistry, University of California, Irvine, CA 92697-2025, USA.
Phys Chem Chem Phys. 2024 Sep 11;26(35):23264-23276. doi: 10.1039/d4cp02528h.
Understanding growth mechanisms for particles in air is fundamental to developing a predictive capability for their impacts on human health, visibility, and climate. In the case of highly viscous semi-solid or solid particles, the likelihood of impinging gases being taken up to grow the particle will be influenced by the initial uptake coefficient and by the residence time of the adsorbed gas on the surface. Here, a new approach that combines Knudsen cell capabilities for gas uptake measurements with temperature programmed desorption (TPD) for binding energy measurements of gases is described. The application of this unique capability to the uptake of organic gases on silica demonstrates its utility and the combination of thermodynamic and kinetic data that can be obtained. Lower limits to the initial net uptake coefficients at 170 K are (3.0 ± 0.6) × 10, (4.9 ± 0.6) × 10 and (4.3 ± 0.8) × 10 for benzene, 1-chloropentane, and methanol, respectively, and are reported here for the first time. The uptake data demonstrated that the ideal gas lattice model was appropriate, which informed the analysis of the TPD data. From the thermal desorption measurements, desorption energies of 34.6 ± 2.5, 45.8 ± 5.5, and 40.0 ± 5.6 kJ mol (errors are 1σ) are obtained for benzene, 1-chloropentane, and methanol, respectively, and show good agreement with previously reported measurements. A multiphase kinetics model was applied to quantify uptake, desorption, and diffusion through the particle multilayers and hence extract desorption kinetics. Implications for uptake of organics on silica surfaces in the atmosphere and the utility of this system for determining relationships between residence times of organic gases and particle surfaces of varying composition are discussed in the context of developing quantitative predictions for growth of aerosol particles in air.
了解空气中颗粒物的增长机制是预测其对人类健康、能见度和气候影响的能力的基础。对于高粘性半固体或固体颗粒,撞击气体被吸收以促使颗粒生长的可能性将受到初始吸收系数以及吸附气体在颗粒表面停留时间的影响。在此,描述了一种新方法,该方法将用于气体吸收测量的克努森池功能与用于气体结合能测量的程序升温脱附(TPD)相结合。这种独特功能在二氧化硅上对有机气体吸收的应用证明了其效用以及可获得的热力学和动力学数据的结合。170K时苯、1-氯戊烷和甲醇的初始净吸收系数下限分别为(3.0±0.6)×10、(4.9±0.6)×10和(4.3±0.8)×10,这是首次在此报告。吸收数据表明理想气体晶格模型是合适的,这为TPD数据分析提供了依据。通过热脱附测量,分别获得了苯、1-氯戊烷和甲醇的脱附能为34.6±2.5、45.8±5.5和40.0±5.6kJ/mol(误差为1σ),与先前报道的测量结果吻合良好。应用多相动力学模型来量化吸收、脱附和通过颗粒多层的扩散,从而提取脱附动力学。在对空气中气溶胶颗粒生长进行定量预测的背景下,讨论了大气中有机物在二氧化硅表面的吸收情况以及该系统在确定有机气体停留时间与不同组成颗粒表面之间关系方面的效用。