Suppr超能文献

LED-CT 扫描用于测量细胞培养液横截面的 pH 分布。

LED-CT Scan for pH Distribution on a Cross-Section of Cell Culture Medium.

机构信息

Department of Mechanical Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.

Department of Mechanical Engineering, National Chiao Tung University, 1001 University Road, Hsinchu 300, Taiwan.

出版信息

Sensors (Basel). 2018 Jan 11;18(1):191. doi: 10.3390/s18010191.

Abstract

In cell culture, the pH of the culture medium is one of the most important conditions. However, the culture medium may have non-uniform pH distribution due to activities of cells and changes in the environment. Although it is possible to measure the pH distribution with an existing pH meter using distributed electrodes, the method involves direct contact with the medium and would greatly increase the risk of contamination. Here in this paper, we propose a computed tomography (CT) scan for measuring pH distribution using the color change of phenol red with a light-emitting diode (LED) light source. Using the principle of CT scan, we can measure pH distribution without contacting culture medium, and thus, decrease the risk of contamination. We have developed the device with a LED, an array of photo receivers and a rotation mechanism. The system is firstly calibrated with different shapes of wooden objects that do not pass light, we succeeded in obtaining their 3D topographies. The system was also used for measuring a culture medium with two different pH values, it was possible to obtain a pH distribution that clearly shows the boundary.

摘要

在细胞培养中,培养基的 pH 值是最重要的条件之一。然而,由于细胞的活动和环境的变化,培养基的 pH 值可能分布不均匀。虽然可以使用带有分布式电极的现有 pH 计测量 pH 值分布,但该方法涉及与介质直接接触,会大大增加污染的风险。在本文中,我们提出了一种使用发光二极管 (LED) 光源的酚红颜色变化进行 CT 扫描测量 pH 值分布的方法。利用 CT 扫描的原理,我们可以在不接触培养基的情况下测量 pH 值分布,从而降低污染的风险。我们使用 LED、光电接收器阵列和旋转机构开发了该设备。该系统首先用不同形状的不透光的木制物体进行校准,成功地获得了它们的 3D 形貌。该系统还用于测量两种不同 pH 值的培养基,能够获得清晰显示边界的 pH 值分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3df0/5795824/9f6d0a73ed25/sensors-18-00191-g0A1.jpg

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