Mueller matrix polarimetry approach for noninvasive glucose sensing with absorbance and anisotropic parameters on fingertips

IF 2 3区 物理与天体物理 Q3 BIOCHEMICAL RESEARCH METHODS Journal of Biophotonics Pub Date : 2024-07-02 DOI:10.1002/jbio.202400052
Po-Ling Huang, Yu-Lung Lo, Yu-Ren Chen, Chih-Yi Liu
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Abstract

A Mueller matrix polarimetry system at 532 nm wavelength is developed for noninvasive glucose sensing in turbid media such as human's fingertip. The system extracts mean absorbance and anisotropic properties, demonstrated numerically and experimentally with phantom glucose samples. It is found that mean absorbance ( A e ), depolarization index (Δ), and linear dichroism (LD) show linear variation with glucose concentration 100–500 mg/dL. In addition, LightTools simulations indicate proportional scaling of scattering effects with A e , Δ, and LD. Real-world tests on fingertip show a strong correlation between these properties and blood glucose levels with a mean absolute relative deviation (MARD) of 12.56% and a correlation coefficient (R2) of 0.875 in prediction by a neural network (NN) model, highlighting the advantages of Mueller matrix in extracting more parameters related to blood glucose.

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用穆勒矩阵极坐标法在指尖上测量吸光度和各向异性参数,实现无创葡萄糖传感。
开发了一种波长为 532 nm 的穆勒矩阵极坐标测量系统,用于在人体指尖等浑浊介质中进行无创葡萄糖检测。该系统提取了平均吸光度和各向异性特性,并用模型葡萄糖样品进行了数值和实验演示。研究发现,平均吸光度(A e $$ {A}_e $$)、去极化指数(Δ)和线性二色性(LD)随葡萄糖浓度 100-500 mg/dL 呈线性变化。此外,LightTools 模拟显示散射效应与 A e $$ {A}_e $$、Δ 和 LD 成比例。在指尖上进行的实际测试表明,这些特性与血糖水平之间具有很强的相关性,平均绝对相对偏差 (MARD) 为 12.56%,神经网络 (NN) 模型预测的相关系数 (R2) 为 0.875,这凸显了穆勒矩阵在提取更多血糖相关参数方面的优势。
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来源期刊
Journal of Biophotonics
Journal of Biophotonics 生物-生化研究方法
CiteScore
5.70
自引率
7.10%
发文量
248
审稿时长
1 months
期刊介绍: The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.
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