Structure optimization method of microfluidic paper chip based on image grey-level statistics for chromogenic reaction
Publication type: Journal Article
Publication date: 2019-09-01
scimago Q1
wos Q2
SJR: 0.794
CiteScore: 7.9
Impact factor: 3.9
ISSN: 02552701, 18733204
General Chemistry
General Chemical Engineering
Process Chemistry and Technology
Industrial and Manufacturing Engineering
Energy Engineering and Power Technology
Abstract
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.
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Total citations:
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Yang N. et al. Structure optimization method of microfluidic paper chip based on image grey-level statistics for chromogenic reaction // Chemical Engineering and Processing: Process Intensification. 2019. Vol. 143. p. 107627.
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Yang N., Chen C., Wang P., Sun J., Mao H. Structure optimization method of microfluidic paper chip based on image grey-level statistics for chromogenic reaction // Chemical Engineering and Processing: Process Intensification. 2019. Vol. 143. p. 107627.
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TY - JOUR
DO - 10.1016/j.cep.2019.107627
UR - https://doi.org/10.1016/j.cep.2019.107627
TI - Structure optimization method of microfluidic paper chip based on image grey-level statistics for chromogenic reaction
T2 - Chemical Engineering and Processing: Process Intensification
AU - Yang, Ning-I
AU - Chen, Chi-Yuan
AU - Wang, Pan
AU - Sun, Jun
AU - Mao, Hanping
PY - 2019
DA - 2019/09/01
PB - Elsevier
SP - 107627
VL - 143
SN - 0255-2701
SN - 1873-3204
ER -
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@article{2019_Yang,
author = {Ning-I Yang and Chi-Yuan Chen and Pan Wang and Jun Sun and Hanping Mao},
title = {Structure optimization method of microfluidic paper chip based on image grey-level statistics for chromogenic reaction},
journal = {Chemical Engineering and Processing: Process Intensification},
year = {2019},
volume = {143},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.cep.2019.107627},
pages = {107627},
doi = {10.1016/j.cep.2019.107627}
}