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计算建模作为一种工具,推动新型化学装置的开发,用于监测受伤的大脑和身体。

Computational Modeling as a Tool to Drive the Development of a Novel, Chemical Device for Monitoring the Injured Brain and Body.

机构信息

Department of Bioengineering, Imperial College London SW7 2AZ, London, U.K.

School of Engineering and Applied Sciences, Yale University, 06520, New Haven, Connecticut United States.

出版信息

ACS Chem Neurosci. 2023 Oct 4;14(19):3599-3608. doi: 10.1021/acschemneuro.3c00063. Epub 2023 Sep 22.

Abstract

Real-time measurement of dynamic changes, occurring in the brain and other parts of the body, is useful for the detection and tracked progression of disease and injury. Chemical monitoring of such phenomena exists but is not commonplace, due to the penetrative nature of devices, the lack of continuous measurement, and the inflammatory responses that require pharmacological treatment to alleviate. Soft, flexible devices that more closely match the moduli and shape of monitored tissue and allow for surface microdialysis provide a viable alternative. Here, we show that computational modeling can be used to aid the development of such devices and highlight the considerations when developing a chemical monitoring probe in this way. These models pave the way for the development of a new class of chemical monitoring devices for monitoring neurotrauma, organs, and skin.

摘要

实时测量大脑和身体其他部位的动态变化对于疾病和损伤的检测和跟踪进展非常有用。尽管存在化学监测这种现象,但由于设备的穿透性、缺乏连续测量以及需要药物治疗来减轻的炎症反应,这种监测方法并不常见。更接近监测组织的模量和形状并允许表面微透析的柔软、灵活的设备提供了一种可行的替代方案。在这里,我们展示了计算建模可用于辅助此类设备的开发,并强调了以这种方式开发化学监测探头时需要考虑的因素。这些模型为开发用于监测神经创伤、器官和皮肤的新型化学监测设备铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8396/10557062/fcdfaae28064/cn3c00063_0001.jpg

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