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Structure optimization method of microfluidic paper chip based on image grey-level statistics for chromogenic reaction

机译:基于图像灰度级统计的微流体纸芯片的结构优化方法

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摘要

Paper-based microfluidic chips are widely used in point-of-care testing (POCT). The structures of the paper chips impose significant impact on the detection accuracy. The mainstream of microfluidic paper chip designs can be divided into two categories, planar diffusion type and vertical diffusion type respectively. According to the two methods above, five different structures of paper chips were designed, namely Y-channel microfluidic chip, three-channel microfluidic chip, rotary array microfluidic chip, oblique double-channel microfluidic chip and multilayer solid microfluidic chip. The mean standard deviation and maximum standard deviation of gray level difference of the best multilayer solid structure comparing with the second best structure reduced by 17% and 39% respectively. Consequently, there was no significant relationship between the color reaction uniformity and the number of channels but a positive correlation with the reaction contact area. This paper offered a step toward designing paper microfluidic chip based on colorimetric method.
机译:基于纸的微流体芯片广泛用于护理点测试(POCT)。纸质芯片的结构对检测精度产生显着影响。微流体纸芯片设计的主流分别分为两类,平面扩散型和垂直扩散类型。根据上述两种方法,设计了五种不同的纸屑结构,即Y沟道微流体芯片,三通道微流体芯片,旋转阵列微流体芯片,斜双通道微流体芯片和多层纯度微流体芯片。与第二最佳结构相比,与第二最佳结构相比分别比较17%和39%的最佳多层固体结构灰度差的平均标准偏差及最大标准偏差。因此,颜色反应均匀性与通道数之间没有显着的关系,而是与反应接触区域的正相关性。本文提供了基于比色法设计纸质微流体芯片的一步。

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