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BioMed Research International
Volume 2017 (2017), Article ID 5031809, 8 pages
Research Article

Online Detection of Peroxidase Using 3D Printing, Active Magnetic Mixing, and Spectra Analysis

1Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, China Agricultural University, Beijing, China
2College of Veterinary Medicine, China Agricultural University, Beijing, China
3Hebei Animal Disease Control Center, Shijiazhuang, China
4Modern Precision Agriculture System Integration Research Key Laboratory of Ministry of Education, China Agricultural University, Beijing, China

Correspondence should be addressed to Jianhan Lin; nc.ude.uac@nahnaij

Received 13 October 2016; Revised 16 February 2017; Accepted 3 April 2017; Published 24 April 2017

Academic Editor: András Fodor

Copyright © 2017 Shanshan Bai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A new method for online detection of peroxidase (POD) using 3D printing, active magnetic mixing, fluidic control, and optical detection was developed and demonstrated in this study. The proposed POD detection system consisted of a 3D printing and active magnetic mixing based fluidic chip for online catalytic reaction, an optical detector with a fluidic flow cell for quantitative determination of the final catalysate, and a single-chip microcontroller based controller for automatic control of two rotating magnetic fields and four precise peristaltic pumps. Horseradish peroxidase (HRP) was used as research model and a linear relationship between the absorbance at the characteristic wavelength of 450 nm and the concentration of HRP of 1/4–1/128 μg mL−1 was obtained as   =   + 1.425 (  = 0.976). For the HRP spiked pork tests, the recoveries of HRP ranged from 93.5% to 110.4%, indicating that this proposed system was capable of detecting HRP in real samples. It has the potential to be extended for online detection of the activity of other enzymes and integration with ELISA method for biological and chemical analysis.