用于生物医学应用的光纤辅助光流体粘度计

Martino Giaquinto, Brunella Corrado, Anna Aliberti, Andrea Cusano
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引用次数: 0

摘要

光纤技术在所有需要可靠、微型化、紧凑和即插即用设备的领域中的重要性与日俱增,在生命科学领域的应用更是如此。在这里,我们采用光纤来测量流体的粘度,方法是检测钢珠在恒定压力下通过微流体通道中被测流体的传输时间(与粘度有关)。拟议的光流体系统是通过定义一个理论模型设计的,实验验证的粘度范围为 5-110 cP,与主要血流特征非常相似。实验结果表明,该系统能够在分辨率(最小分别为 10-1 和 1 cP)和测量时间(分别为几十秒和几毫秒)之间进行权衡,采用多点和单点检测模式。最佳精确度已接近 1.5%,还可通过减少珠子大小的不确定性进一步优化。所提出的平台具有测量简单、成本低、可靠和快速的特点,并能确保与微流控芯片集成在一个微型的一次性系统中。该平台所需的体积小(可扩展到 µL 范围),使用方便,可用于生理条件下实时测量血液和血浆粘度的临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Fiber Optic Assisted Optofluidic Viscometer for Biomedical Applications

Fiber Optic Assisted Optofluidic Viscometer for Biomedical Applications

Optical fiber technology is gaining increasing importance in all those fields requiring reliable, miniaturized, compact, and plug-and-play devices, with a special relevance in life science applications. Here, optical fibers are adopted to measure the fluids viscosity, by detecting the transit time (related to viscosity) of a steel bead moving through the tested fluid in a microfluidic channel under constant pressure. The proposed optofluidic system is designed by defining a theoretical model, here experimentally validated in the viscosity range of 5–110 cP, well resembling main blood flow features. The achieved results demonstrate the capability to work in multi-point and single-point detection modalities with a trade-off between resolution (minimum of 10−1 and 1 cP respectively) and measurement time (tens of seconds and milliseconds range, respectively). An optimum accuracy close to 1.5% has been achieved, with room for further optimization by reducing bead size uncertainty. The proposed platform features simple, low-cost, reliable, and fast measurements and ensures the integration with microfluidics chip in a miniaturized and disposable system. The low volumes required (scalable down to µL range) and the ease of use enable the translation of the proposed platform in clinical scenarios involving real-time blood and plasma viscosity measurements under physiological conditions.

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