可视化阵列传感器对糖尿病标志物的检测研究

赵飞翔; 罗小刚; 徐峰

doi:10.13873/j.1000-97872013.10.012

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可视化阵列传感器对糖尿病标志物的检测研究

研究与探讨 | 更新时间：2025-09-11

- 可视化阵列传感器对糖尿病标志物的检测研究
- Study of detection of diabetes markers by colorimetric array sensor
- 传感器与微系统 2013年32卷第10期页码：37-40
- 作者机构：
  
  重庆大学生物工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872013.10.012
  中图分类号： R587.1;TP212
- 纸质出版：2013
- 稿件说明：
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[1]赵飞翔,罗小刚,徐峰.可视化阵列传感器对糖尿病标志物的检测研究[J].传感器与微系统,2013,32(10):37-40.

ZHAO Fei-xiang, LUO Xiao-gang, XU Feng. Study of detection of diabetes markers by colorimetric array sensor[J]. 2013, 32(10): 37-40.
[1]赵飞翔,罗小刚,徐峰.可视化阵列传感器对糖尿病标志物的检测研究[J].传感器与微系统,2013,32(10):37-40. DOI： 10.13873/j.1000-97872013.10.012.

ZHAO Fei-xiang, LUO Xiao-gang, XU Feng. Study of detection of diabetes markers by colorimetric array sensor[J]. 2013, 32(10): 37-40. DOI： 10.13873/j.1000-97872013.10.012.

摘要

针对人体糖代谢产物中丙酮代谢异常的生理机理

以丙酮作为检测标志物对糖尿病的无创检测进行了实验研究。实验依据可视化卟啉阵列传感器与微量气体发生化学反应导致其色谱产生变化的基本原理

采用金属卟啉制作成阵列传感器

利用PIC单片机和嵌入式ARM组成检测系统。对模拟呼出不同浓度的丙酮气体进行检测实验

结果表明:该系统能够快速响应丙酮气体标志物

且不同浓度的丙酮标志物具有不同的响应结果。对不同浓度丙酮的响应结果进行判别分析识别

识别结果显示:系统能够辨别气体中丙酮浓度的异常。

Abstract

Aiming at acetone metabolic abnormality in the human glucose metabolism

experimental studies on non-invasive detection of diabetes is carried out

using the acetone as detection marker.Based on the principle that the chemical reaction between colorimetric array sensor and trace gas will bring about the change in chromatograph

detection experiments is carried out on the acetone gas with different concentration exhaled from the simulator using detection system

which consists of PIC MCU and embedded ARM

and the array sensor made from metalloporphyrin.The experimental results show that the metalloporphyrin sensor array can soon response to the acetone gas

and the response results varied from the acetone markers with different concentration.Using discriminant analysis identification to identify the different response result

it shows that the system can identify the abnormal concentrations of acetone.

关键词

Keywords

references

生物化学信号物质的研究 [D]. 邓春晖. 复旦大学 2004

Accurate, reproducible measurement of acetone concentration in breath using selected ion flow tube-mass spectrometry [J] . Jack F Dummer,Malina K Storer,Wan-Ping Hu,Maureen P Swanney,Gordon J Milne,Christopher M Frampton,Jenny M Scotter,G Kim Prisk,Michael J Epton. Journal of Breath Research . 2010 (4)

An acetone breath analyzer using cavity ringdown spectroscopy: an initial test with human subjects under various situations [J] . Chuji Wang,Anand B Surampudi. Measurement Science and Technology . 2008 (10)

Analysis of diabetic patient’s breath with conducting polymer sensor array [J] . Joon-Boo Yu,Hyung-Gi Byun,Myung-Suk So,Jeung-Soo Huh. Sensors & Actuators: B. Chemical . 2005 (1)

On the mammalian acetone metabolism: from chemistry to clinical implications [J] . Miklós Péter Kalapos. BBA - General Subjects . 2003 (2)

A novel method for diabetes diagnosis based on electronic nose 1 Paper presented at Biosensors ’96, Bangkock, May 1996. 1 [J] . Wang Ping,Tan Yi,Xie Haibao,Shen Farong. Biosensors and Bioelectronics . 1997 (9)

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