Optoacousto-fluidics Based Optical Rotation Measure for Blood Glucose Sensing.

IF 4.4 2区 医学 Q2 ENGINEERING, BIOMEDICAL
Swathi Padmanabhan, Sarikonda Aryan Shashank, Rajesh Srinivasan, Jaya Prakash
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引用次数: 0

Abstract

Significance: Glucose sensing in deep tissue is challenging due to high light scattering and the optical properties of tissue constituents.

Objective: We present a novel approach that integrates polarized light with optoacousto-fluidics based glucose sensing.

Methods: A custom microfluidic chip mimicking blood vessel dimensions was developed to measure optical rotation via optoacoustic detection using polarized light (vertical and circular) at 1560 nm (near-infrared). The system reduces sample volume requirements while maintaining high sensitivity and accuracy. Experiments were performed using serum-like and human blood samples at a depth of 2 mm through whole blood. Flow dynamics was varied to assess their impact on measurement accuracy. Proof-of-concept studies included samples from diabetic and healthy volunteers.

Results: Depth-resolved optoacoustic signals enabled accurate optical rotation quantification for glucose detection. Variations in flow velocity showed no significant effect, confirming system reliability under dynamic conditions. The system achieved a detection limit of 50 mg/dL in serum samples. Classification of diabetic and healthy samples reached an 88% prediction accuracy.

Conclusion: This work demonstrates a low-volume, high-sensitivity method for glucose detection using polarized light and optoacousto-fluidics, with potential for real-time, non-invasive monitoring at tissue depths of 2-3 mm. It lays the foundation for advancing optical rotation-based glucose detection methodologies with significant implications for in-vivo sensing (at depths of 2-3 mm in skin).

基于光声-流体的旋光测量血糖传感。
意义:由于组织成分的高光散射和光学特性,深层组织中的葡萄糖传感具有挑战性。目的:提出了一种将偏振光和光声流体相结合的葡萄糖传感新方法。方法:研制了一种模拟血管尺寸的定制微流控芯片,利用1560 nm(近红外)偏振光(垂直和圆形)光声检测来测量旋光度。该系统在保持高灵敏度和准确性的同时减少了样品量需求。实验采用血清样和人血样品,在全血中穿透2mm深度进行。流动动力学变化以评估其对测量精度的影响。概念验证研究包括来自糖尿病和健康志愿者的样本。结果:深度分辨光声信号实现了葡萄糖检测的精确旋光定量。流速变化对系统无显著影响,证实了系统在动态工况下的可靠性。该系统在血清样品中的检出限为50 mg/dL。糖尿病和健康样本的分类预测准确率达到88%。结论:本研究展示了一种利用偏振光和光声流体技术进行葡萄糖检测的小体积、高灵敏度方法,具有在2-3 mm的组织深度进行实时、无创监测的潜力。它为推进基于光学旋转的葡萄糖检测方法奠定了基础,对体内传感(皮肤深度为2-3毫米)具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Biomedical Engineering
IEEE Transactions on Biomedical Engineering 工程技术-工程:生物医学
CiteScore
9.40
自引率
4.30%
发文量
880
审稿时长
2.5 months
期刊介绍: IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.
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