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目的建立致敏颗粒在眼结膜上沉降速度的新预测模型。方法根据颗粒物沉降速度的定义,分析致敏颗粒在浓度边界层的沉降机制和沉积后对眼球表面的生物作用。结果在低摩擦速度下,致敏颗粒在眼结膜的沉降速度随粒径的增加呈先减小后增大变化,而在较高摩擦速度下,粒径越大沉降速度越大;当致敏颗粒的粒径相同时,空气的摩擦速度越大,其在眼结膜上的沉降速度越大。结论该文提出的预测模型能准确预测不同粒径的致敏颗粒在眼结膜上的沉降速度,对找到引发过敏性结膜炎的过敏原的重点粒径提供了思路,新模型具有理论性强,精确度高,考虑因素更加全面和计算时间短等明显优点。
Objective To establish a new predictive model of the rate of sedimentation of sensitized particles on conjunctiva. Methods Based on the definition of particle sedimentation velocity, the sedimentation mechanism of sensitized particles at the concentration boundary layer and the biological effect on the surface of the eyeball after deposition were analyzed. Results Under the condition of low friction velocity, the sedimentation velocity of sensitized particles in the conjunctiva decreases first and then increases with the increase of particle size. At higher friction velocity, the larger the particle size, the larger the sedimentation velocity. When sensitized When the particles have the same particle size, the greater the friction velocity of the air, the greater the rate of sedimentation on the conjunctiva. Conclusions The prediction model proposed in this paper can accurately predict the sedimentation rate of sensitized particles with different particle sizes on the conjunctiva and provide ideas for finding the major particle size of the allergen that causes allergic conjunctivitis. The new model has the advantages of strong theory, High accuracy, more comprehensive consideration and shorter calculation time.