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首页> 外文期刊>IEEE sensors journal >A Novel Method Based on Optofluidic Lensless-Holography for Detecting the Composition of Oil Droplets
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A Novel Method Based on Optofluidic Lensless-Holography for Detecting the Composition of Oil Droplets

机译：一种基于Optof流体无透镜 - 检测油滴组成的新型方法

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摘要

A novel method based on optofluidic lensless-holography for detecting the composition of oil droplets is presented in this paper. The three most important characteristic parameters in the holograms of oil droplets and particles with different sizes were compared and analyzed, and the correlation between the characteristic parameters and the molecular structure (different number of carbon-hydrogen bonds) of oil droplet was determined. In addition, the experimental results show that the detection results of the newly developed lensless holographic imaging system are not affected by the surface properties of oil droplets. By detecting PEA (amino-terminated polyoxypropylene, a fuel additive), it is demonstrated that the developed method is sufficiently sensitive to the trace amount of additives or impurities in the oil. To the best of our knowledge, this is the first time that the lensless-holography combined with the optofluidic technology has been used to detect the composition of oil droplets. The portability of the developed device is very suitable for real-time on-site detection.
机译：本文介绍了一种基于Optof流体无透镜 - 全能的新方法，用于检测油滴组成。比较和分析油滴全息图中最重要的三个最重要的特征参数和不同尺寸的颗粒，并且测定了液滴的特征参数与分子结构（不同数量的碳 - 氢键）之间的相关性。此外，实验结果表明，新开发的无透镜全息成像系统的检测结果不受油滴表面性质的影响。通过检测豌豆（氨基封端的聚氧化丙烯，燃料添加剂），证明了开发方法对油中的痕量添加剂或杂质足够敏感。据我们所知，这是第一次将无透镜全息术与Optof流体技术相结合，用于检测油滴的组成。开发设备的可移植性非常适合实时检测。

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