多波长红外尿糖检测技术研究
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上海理工大学

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Research on Multi-Wavelength Infrared Urine Glucose Detection Technology
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    摘要:

    糖尿病一直以来是人们关注的重点,尿糖是衡量糖尿病的关键指标,针对糖尿病的快速精准检测的迫切需求,研究多波长红外尿糖检测技术,推动近红外光谱技术应用于尿糖浓度的检测以及糖尿病的预防与诊断。选取吸收光谱特性与葡萄糖浓度变化相关性较好的近红外光源(940nm、1150nm、1310nm、1550nm),进行硬件选型、光学结构系统、信号探测电路以及软件设计,并进行光谱信息预处理以及浓度模型研究,最终配合上位机实现尿糖浓度的处理、存储和实时检测等功能。通过实验测试环节,检测得到了尿糖浓度值,并经过计算R2=0.9928,误差不大于4.2%,验证了此检测技术具有出色的相关性、准确性。 该技术研究最终证实了多波长红外尿糖检测的可行性以及稳定性,相比传统检测方法有较好的创新性,同时可以满足糖尿病快速准确检测的需求,保障了人们的健康安全,有利于推动近红外光谱应用于临床尿糖检测的进程。

    Abstract:

    Diabetes has always been the focus of people's attention, urine glucose is a key indicator to measure diabetes, in view of the urgent need for rapid and accurate detection of diabetes, research on multi-wavelength infrared urine glucose detection technology, and promote the application of near-infrared spectroscopy technology in the detection of urine glucose concentration and the prevention and diagnosis of diabetes.The near-infrared light sources (940nm, 1150nm, 1310nm, 1550nm) with good correlation between absorption spectrum characteristics and glucose concentration changes were selected, hardware selection, optical structure system, signal detection circuit and software design were carried out, spectral information preprocessing and concentration model research were carried out, and finally the functions of urine glucose concentration processing, storage and real-time detection were realized with the host computer. Through experimental testing, urine glucose concentration value was obtained, and R2=0.9928 was calculated, with an error of no more than 4.2%, which verified that the detection technology had excellent correlation and accuracy. This technical research finally confirms the feasibility and stability of multi-wavelength infrared urine glucose detection, which is more innovative than traditional detection methods, and can meet the needs of rapid and accurate detection of diabetes, ensure people's health and safety, and help promote the application of near-infrared spectroscopy to clinical urine glucose detection.

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梅竹松,严荣国,徐涛,魏梦林.多波长红外尿糖检测技术研究计算机测量与控制[J].,2023,31(5):101-107.

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  • 收稿日期:2022-10-10
  • 最后修改日期:2022-11-02
  • 录用日期:2022-11-03
  • 在线发布日期: 2023-05-19
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