TY - GEN
T1 - An Ultra-Fast and Large-Scale Fabrication Method for Paper-Based Microfluidic Chips
AU - Sun, Hao
AU - Dong, Hui
AU - Zheng, Jianping
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2018.
PY - 2018
Y1 - 2018
N2 - Portable electronic devices and wireless communication enable a broad range of applications including environmental surveillance, food safety monitoring and point-of-care testing. Particularly, by incorporating smartphone and microfluidic paper-based device, rapid analysis, mobile laboratories for chemical assay, remote sensing and data management become more available. In this work, we designed and fabricated a 12-unit paper chip for colorimetric detection of metals. 48 chips can be obtained on a single A4 size paper within 5, min. Additive manufacturing technology was employed to construct the experimental platform. A cellphone’s camera was used to capture colorimetric images, and then the RGB values of the color images were converted to grayscale via a self-built App. The intensity reflecting metal concentrations were processed and analyzed by the same app and a remote server. To demonstrate the utility of this approach, Fe solutions were tested. The detection limit of this method is 0.2, μg. The presented device and data processing tools hold a potential to assist mobile sensing, pollution detection and healthcare in routine work.
AB - Portable electronic devices and wireless communication enable a broad range of applications including environmental surveillance, food safety monitoring and point-of-care testing. Particularly, by incorporating smartphone and microfluidic paper-based device, rapid analysis, mobile laboratories for chemical assay, remote sensing and data management become more available. In this work, we designed and fabricated a 12-unit paper chip for colorimetric detection of metals. 48 chips can be obtained on a single A4 size paper within 5, min. Additive manufacturing technology was employed to construct the experimental platform. A cellphone’s camera was used to capture colorimetric images, and then the RGB values of the color images were converted to grayscale via a self-built App. The intensity reflecting metal concentrations were processed and analyzed by the same app and a remote server. To demonstrate the utility of this approach, Fe solutions were tested. The detection limit of this method is 0.2, μg. The presented device and data processing tools hold a potential to assist mobile sensing, pollution detection and healthcare in routine work.
KW - Image processing by smartphone
KW - Metal detection
KW - Paper-based microfluidics
UR - https://www.scopus.com/pages/publications/85035751118
U2 - 10.1007/978-981-10-6553-8_103
DO - 10.1007/978-981-10-6553-8_103
M3 - 会议稿件
AN - SCOPUS:85035751118
SN - 9789811065521
T3 - Mechanisms and Machine Science
SP - 1561
EP - 1572
BT - Advances in Mechanical Design - Proceedings of the 2017 International Conference on Mechanical Design, ICMD 2017
A2 - Xiang, Changle
A2 - Tan, Jianrong
A2 - Gao, Feng
PB - Springer Netherlands
T2 - International Conference on Mechanical Design, ICMD 2017
Y2 - 13 October 2017 through 15 October 2017
ER -