Issue 13, 2019

Improving quantitative control and homogeneous distribution of samples on paper-based analytical devices via drop-on-demand inkjet printing

Abstract

A standard desktop printer with multiple ink cartridges can accurately deposit a broad variety of biomaterials on microfluidic paper-based analytical devices (μPADs) which have been extensively applied to environmental monitoring and screening of food and beverage contamination. Finding ways to realize sample quantitative control by tuning the CMYK value, however, remains challenging. Herein, we studied the influence of the CMYK value on the ink volume jetted by ink cartridges. The regularity research on a single-color and two-colors was performed in two print mode-grayscale printing and color printing. The results demonstrated that the number of ink dots increased with the increase of the gray value and opacity value, which means that the amount of the bio-ink increases with the increase of the CMYK value. The 3,3′,5,5′-tetramethylbenzidine–horseradish peroxidase–hydrogen peroxide, glucose oxidase–horseradish peroxidase and bull serum albumin–citrate buffer–tetrabromophenol blue systems were chosen as examples to prove the print regularity. Samples and assay reagents can be quantitatively deposited on a substrate by adjusting the CMYK value with as many as four ink cartridges. The present approach has been successfully applied to assay the targets in real serum samples, showing the potential application of the most common office piezoelectric printer in μPADs.

Graphical abstract: Improving quantitative control and homogeneous distribution of samples on paper-based analytical devices via drop-on-demand inkjet printing

Supplementary files

Article information

Article type
Paper
Submitted
15 Mar 2019
Accepted
30 Apr 2019
First published
04 May 2019

Analyst, 2019,144, 4013-4023

Improving quantitative control and homogeneous distribution of samples on paper-based analytical devices via drop-on-demand inkjet printing

M. Liu, X. Lian, Z. Guo, H. Liu, Y. Lei, Y. Chen, W. Chen, X. Lin, A. Liu and X. Xia, Analyst, 2019, 144, 4013 DOI: 10.1039/C9AN00481E

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