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The accuracy of the aerosol particle mass analyzer for nanoparticle classification

机译:用于纳米粒子分类的气溶胶粒子质量分析仪的准确性

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摘要

The aerosol mass measurement method, DMA-APM, measures a lower mass as compared to the electrical mobility diameter-based particle mass for sub-50 nm nanoparticles. The extent of underestimation increases with decreasing nanoparticle diameter and can reach as much as 20-80% for different nanoparticles between 10-20 nm. To study this issue, the DMA-APM system was tested with traceable size standards (PSL and NanoSilica) and laboratory generated silver nanoparticles. It was found that the extent of mass underestimation depended on Brownian diffusion as well as the strength of the classifying forces, and the extent was quantified by a dimensionless parameter lambda(c,P), which is suggested to be higher than 40 to eliminate the mass underestimation for size standards. Further analysis also showed that the uncertainty in the particle density of test nanoparticles should be as low as possible to minimize the error in the judgment on the accuracy of the APM. Finally, the absolute accuracy of the APM at different lambda(c,P) was determined by the size standards, which could be used to correct for the mass underestimation for sub-50 nm nanoparticles.
机译:与亚50nm纳米颗粒的电迁移率直径基颗粒物质相比,气溶胶质量测量方法DMA-APM测量较低的质量。低估的程度随着纳米颗粒直径的降低而增加,并且在10-20nm之间的不同纳米颗粒可达到20-80%。为了研究这个问题,DMA-APM系统用可追踪尺寸标准(PSL和NANOSILICA)和实验室产生的银纳米颗粒测试。发现质量低估的程度依赖于褐色扩散以及分类力的强度,并且通过无量纲参数λ(C,P)量化的程度,这表明要高于40以消除大规模低估规模标准。进一步的分析还表明,测试纳米粒子的粒子密度的不确定性应尽可能低,以最小化判断判断的误差。最后,通过尺寸标准测定不同λ(C,P)的APM的绝对精度,其尺寸标准可以用于校正亚50nm纳米颗粒的质量低估。

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