软件可移植性
嵌入式系统
适配器(计算)
炸薯条
移动电话
计算机科学
Android(操作系统)
红细胞压积
计算机硬件
健康
操作系统
医疗保健
电信
医学
经济增长
经济
内分泌学
作者
Bangfeng Wang,Zetai Liu,Yi Hong,Mingyu Zhang,Shibo Li,Shunji Li,Hufei Duan,Hongjia Kang,Peng Chen,Wei Du,Yiwei Li,Xiaojun Feng,Bi‐Feng Liu
出处
期刊:Talanta
[Elsevier]
日期:2024-03-01
卷期号:269: 125398-125398
被引量:1
标识
DOI:10.1016/j.talanta.2023.125398
摘要
Due to the ever-increasing challenge of emerging and reemerging infections on global health, the development of POCT tools has been propelled. However, conventional point-of-care testing methods suffer from several limitations, including cumbersome operation, long detection times, and low accuracy, which hamper their widespread application. Compared to traditional disease diagnostic equipment, mobile health platforms offer several advantages, including portability, ease of operation, and automated analysis of detection results through recognition algorithms. Consequently, they hold great promise for the future. Here, we developed a smartphone-based centrifugal mHealth platform implementing daisy-shaped quick response chip for hematocrit measurement. The centrifugal microfluidic chip is combined with a smartphone through a back-clip-on mobile phone adapter whose control circuit is designed with low power consumption to enable the platform to operate without requiring a high-power source that is inconvenient to carry, thereby achieving the goal of portability. Concurrently, we designed a quick response chip featuring a unique hollow daisy structure that is in line with the properties of hematocrit detection. The distinctive configuration of the chip enables adequate centrifugal force to be supplied for hematocrit detection. Additionally, our customized quick response code recognition algorithm is able to recognize this chip, facilitating non-experts in performing hematocrit intelligent recognition with their smartphones.
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