Blood component analysis using mid-infrared photoacoustic spectroscopy based on ultrasound detection: glucose analysis trial.

IF 2.9 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS
Journal of Biomedical Optics Pub Date : 2025-10-01 Epub Date: 2025-10-09 DOI:10.1117/1.JBO.30.10.107001
Kiiko Aiba, Saiko Kino, Yuji Matsuura
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引用次数: 0

Abstract

Significance: Noninvasive monitoring of blood components is important in daily health management. Conventional optical techniques such as attenuated total reflection (ATR) have limited penetration depth and sensitivity. Photoacoustic spectroscopy using a piezoelectric transducer (PZT-PAS) can detect components in the interstitial fluid beneath the stratum corneum with a relatively simple device.

Aim: We explored the feasibility of PZT-PAS for noninvasive analysis of blood components.

Approach: Biomimetic phantom experiments were conducted to evaluate depth sensitivity. A technique for enhancing signal strength by generating standing acoustic waves in tissue was validated by tuning the laser modulation frequency. Human trials were conducted to assess the capability of the method for predicting blood glucose levels.

Results: PZT-PAS successfully detected signals from depths beyond 10 to 20    μ m , outperforming ATR. Signal enhancement was achieved in a 2-mm-thick interdigital membrane using resonant acoustic conditions. In human trials, discriminant analysis to determine blood glucose levels relative to a threshold of 140 mg/dL showed an accuracy rate of 85.3%.

Conclusions: These results highlight the potential of PZT-PAS combined with signal processing for future wearable, noninvasive health care monitoring applications.

Abstract Image

Abstract Image

Abstract Image

基于超声检测的中红外光声光谱血液成分分析:葡萄糖分析试验。
意义:无创监测血液成分在日常健康管理中具有重要意义。传统的光学技术如衰减全反射(ATR)具有有限的穿透深度和灵敏度。利用压电换能器(PZT-PAS)的光声光谱可以用一个相对简单的装置检测角质层下间隙液中的成分。目的:探讨PZT-PAS无创分析血液成分的可行性。方法:采用仿生模体实验评价深度敏感性。通过调整激光调制频率,验证了一种通过在组织中产生驻声波来增强信号强度的技术。人体试验是为了评估该方法预测血糖水平的能力。结果:PZT-PAS成功检测深度为10 ~ 20 μ m的信号,优于ATR。利用共振声学条件,在2毫米厚的数字间膜中实现了信号增强。在人体试验中,判别分析确定相对于140 mg/dL阈值的血糖水平的准确率为85.3%。结论:这些结果突出了PZT-PAS结合信号处理在未来可穿戴、无创医疗监测应用中的潜力。
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
CiteScore
6.40
自引率
5.70%
发文量
263
审稿时长
2 months
期刊介绍: The Journal of Biomedical Optics publishes peer-reviewed papers on the use of modern optical technology for improved health care and biomedical research.
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