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基于时域光声波形分析的血糖测量。

Time-domain photoacoustic waveform analysis for glucose measurement.

机构信息

School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.

出版信息

Analyst. 2021 Jan 7;145(24):7964-7972. doi: 10.1039/d0an01678k.

Abstract

Photoacoustic (PA) effect is the product of light-ultrasound interactions and its time-domain waveform contains rich information. Besides optical absorption, the PA waveform inherently consists of other mechanical and thermal properties of the sample. They also have correlation with the target composition but have not been utilized in conventional PA spectroscopy. In this article, we propose a new concept named time-domain photoacoustic waveform spectroscopy (tPAWS) for chemical component quantification. It employs multiple variables inherently contained in the PA waveform excited by a single wavelength laser to extract informative features. The demonstration of glucose measurement in human blood serum (HBS) shows superior sensitivity and accuracy enhancement, compared to conventional amplitude-based PA measurement and NIR spectroscopy. Thanks to the sensitivity and accuracy of tPAWS, multiple wavelength sources and complex instrumentation used in conventional spectroscopic sensing methods can be avoided. TPAWS, as a novel physics-inspired sensing method, shows great potential for complementing or surpassing the current spectroscopic methods as a new sensing technique for chemical analysis.

摘要

光声(PA)效应是光与超声相互作用的产物,其时域波形包含丰富的信息。除了光吸收之外,PA 波形固有地包含样品的其他机械和热性质。它们也与目标成分相关,但尚未在传统的 PA 光谱学中得到利用。在本文中,我们提出了一种新的概念,称为时域光声波形光谱学(tPAWS),用于化学成分定量。它利用单波长激光激发的 PA 波形中固有的多个变量来提取有信息的特征。在人血清(HBS)中葡萄糖测量的演示中,与传统的基于幅度的 PA 测量和近红外光谱法相比,灵敏度和准确性得到了提高。由于 tPAWS 的灵敏度和准确性,可以避免传统光谱传感方法中使用的多个波长源和复杂仪器。作为一种新的物理启发传感方法,tPAWS 在作为化学分析的新传感技术补充或超越当前光谱方法方面具有很大的潜力。

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