Suppr超能文献

用于重症监护监测的体内化学传感器。

In vivo chemical sensors for intensive-care monitoring.

作者信息

Rolfe P

机构信息

Department of Biomedical Engineering & Medical Physics, University of Keele, Hospital Centre, Stoke-on-Trent, Staffs, UK.

出版信息

Med Biol Eng Comput. 1990 May;28(3):B34-47. doi: 10.1007/BF02442679.

Abstract

There is a need for rapid assessment of a patient's biochemical status during intensive care so that therapies may be optimised. Chemical sensors for key species have the potential to allow continuous in vivo monitoring, and some progress is being made with certain sensors. Gases, ions and certain catabolites such as glucose and urea may be measured with devices based on mass spectrometric, electrochemical or optical principles. The physical form, and size of sensors must be matched to the measurement site, which can include the airway, the intravascular space, tissue and the skin surface. Electrochemical sensors for measurement of O2, pH and glucose have been the most widely used to date, although fibre-optic devices are currently attracting considerable interest. Invasive sensors still suffer from the problem of poor biocompatibility, particularly devices used in arteries and veins. Noninvasive methods may be successful in certain circumstances and in some patient groups, but peripheral measurements are often significantly influenced by circulatory phenomena such as shock. Further research is required if these limitations of both invasive and noninvasive sensors are to be overcome and continuous chemical monitoring is to be established as a routine clinical technique.

摘要

在重症监护期间,需要快速评估患者的生化状态,以便优化治疗方案。用于关键物质的化学传感器有潜力实现体内连续监测,并且在某些传感器方面已经取得了一些进展。基于质谱、电化学或光学原理的设备可用于测量气体、离子以及某些分解代谢产物,如葡萄糖和尿素。传感器的物理形式和尺寸必须与测量部位相匹配,测量部位可以包括气道、血管内空间、组织和皮肤表面。用于测量氧气、pH值和葡萄糖的电化学传感器是目前使用最广泛的,不过光纤设备目前也引起了相当大的关注。侵入性传感器仍然存在生物相容性差的问题,尤其是用于动脉和静脉的设备。非侵入性方法在某些情况下和某些患者群体中可能会成功,但外周测量往往会受到诸如休克等循环现象的显著影响。如果要克服侵入性和非侵入性传感器的这些局限性,并将连续化学监测确立为一种常规临床技术,则需要进一步的研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验