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Microrheology, advances in methods and insights
Advances in Colloid and Interface Science ( IF 15.9 ) Pub Date : 2018-04-21
Qiuyang Xia, Huining Xiao, Yuanfeng Pan, Lidong Wang

Microrheology is an emerging technique that probes mechanical response of soft material at micro-scale. Generally, microrheology technique can be divided into active and passive versions. For active microrheology, a user-controlled force, e.g. magnetic force, electrostatic force, optical tweezers etc., is applied to embedded particle in medium of interest, and the particle motion under this force is tracked. For passive microrheology, the embedded particles only move due to thermal fluctuations in the medium, i.e. Brownian motion, and their trajectories are tracked and analyzed. After Mason's seminal paper that developed reliable theory to calculate the relation between viscoelastic property and Brownian motion of embedding particles, corresponding methods and equipments to track particle Brownian motion both in laboratory and commercially available, together with software for data analysis. During last two decades, extensive efforts have been paid to improve both the experiment techniques and data analysis methods, especially about how to link consequential particle positions into trajectories. Also, some insights have been revealed in soft matter system using this technique. In this review paper we attempt to go through the advances in experiment techniques and data analysis methods developed in last ten years along with some recent results obtained from these methods.



中文翻译:

微流变学,方法和见解的进展

微流变学是一种新兴技术,可在微观尺度上探测软材料的机械响应。通常,微流变技术可以分为主动和被动两种。对于主动微流变性,将用户控制的力(例如磁力,静电力,光镊等)施加到目标介质中的嵌入粒子中,并跟踪在此力下的粒子运动。对于被动微流变学,嵌入的粒子仅由于介质中的热波动(即布朗运动)而移动,并且对其轨迹进行跟踪和分析。在梅森(Mason)的开创性论文发展了可靠的理论来计算粘弹性和包埋颗粒的布朗运动之间的关系之后,在实验室和商业上可获得的用于跟踪粒子布朗运动的相应方法和设备,以及用于数据分析的软件。在过去的二十年中,人们为改进实验技术和数据分析方法付出了巨大的努力,尤其是在如何将相应的粒子位置链接到轨迹方面。同样,使用这种技术在软物质系统中也发现了一些见解。在这篇综述文章中,我们尝试了解近十年来开发的实验技术和数据分析方法的最新进展,以及从这些方法获得的一些最新结果。特别是关于如何将相应的粒子位置链接到轨迹中。同样,使用这种技术在软物质系统中也发现了一些见解。在这篇综述文章中,我们尝试了解近十年来开发的实验技术和数据分析方法的最新进展,以及从这些方法获得的一些最新结果。特别是关于如何将相应的粒子位置链接到轨迹中。同样,使用这种技术在软物质系统中也发现了一些见解。在这篇综述文章中,我们尝试了解近十年来开发的实验技术和数据分析方法的最新进展,以及从这些方法获得的一些最新结果。

更新日期:2018-04-25
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