基于可调谐脉冲激光诱导超声光声测量葡萄糖浓度的探索与实践

IF 6.7 3区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Z. Ren, Guodong Liu, Zhen Huang, Deng-Ji Zhao, Z. Xiong
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引用次数: 24

摘要

本文建立了一种可调谐脉冲激光诱导光声监测血糖浓度的正向模式测量装置。实验采集不同浓度0 ~ 300 mg/dl葡萄糖水溶液的时间分辨光声信号,平均512次,在1300 ~ 2300 nm近红外波段进行波长扫描,记录光声峰间值。通过差谱法和一阶导数谱法确定葡萄糖的最佳特征波长,并利用多元线性回归算法建立最佳波长与浓度梯度的峰间校正模型。实验结果表明,葡萄糖溶液的时间分辨光声信号的轮廓和对数形状与光声理论基本一致。最佳波长1510 nm预测效果最好,其校正和预测的均方根误差分别为12.14和8.45 mg/dl,相关系数达到0.9856。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration and Practice in Photoacoustic Measurement for Glucose Concentration Based on Tunable Pulsed Laser Induced Ultrasound
In this article, a tunable pulsed laser induced photoacoustic measurement setup of monitoring glucose concentration was established in the forward mode. In experiments, the time-resolved photoacoustic signal of glucose aqueous solution with different concentrations of 0-300 mg/dl were captured and averaged 512 times, and the photoacoustic peak-to-peak values were recorded using the wavelength scan in NIR region of 1300-2300 nm. The optimal characteristic wavelengths of glucose were determined via the difference spectral and the first derivative spectral algorithm, and correction models between peak-to-peak values of optimal wavelengths and concentration gradients were established using multivariate linear regression algorithm. Experimental results demonstrated that the profile and logarithm shape of time-resolved photoacoustic signal for glucose solutions were in good agreement with photoacoustic theories. The prediction effect of optimal wavelength of 1510 nm was best, its root-mean-square errors of correction and prediction were 12.14 and 8.45 mg/dl, respectively, the correlation coefficient reached 0.9856.
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来源期刊
International Journal of Optomechatronics
International Journal of Optomechatronics 工程技术-工程:电子与电气
CiteScore
9.30
自引率
0.00%
发文量
3
审稿时长
3 months
期刊介绍: International Journal of Optomechatronics publishes the latest results of multidisciplinary research at the crossroads between optics, mechanics, fluidics and electronics. Topics you can submit include, but are not limited to: -Adaptive optics- Optomechanics- Machine vision, tracking and control- Image-based micro-/nano- manipulation- Control engineering for optomechatronics- Optical metrology- Optical sensors and light-based actuators- Optomechatronics for astronomy and space applications- Optical-based inspection and fault diagnosis- Micro-/nano- optomechanical systems (MOEMS)- Optofluidics- Optical assembly and packaging- Optical and vision-based manufacturing, processes, monitoring, and control- Optomechatronics systems in bio- and medical technologies (such as optical coherence tomography (OCT) systems or endoscopes and optical based medical instruments)
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