alexa Centrifugal Microfluidic Integrated Optical System for Sensing Pesticide Residues
ISSN: 2090-4967

Biosensors Journal
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Research Article

Centrifugal Microfluidic Integrated Optical System for Sensing Pesticide Residues

Jingjing Liu1*, Guoqing song1,2, Tengfei Wang1, Chunfei Hu1, Hongmei Chen1, and Fuqiang Nie1*

1Division of Nano Bionic Research, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, P. R. China

2Department of Chemical Engineering, Northeast Dianli University, Jilin, P.R. China

*Corresponding Author:
Jingjing Liu and Fuqiang Nie
Division of Nanobionic Research, Suzhou Institute of Nano-Tech and Nano-Bionics
Chinese Academy of Sciences, Suzhou, 215123
P. R. China
Tel: 86-512-62872583
E-mail: [email protected], [email protected]

Received date: March 31, 2017; Accepted date: April 17, 2017; Published date: April 21, 2017

Citation: Liu J, Song G, Wang T, Hu C, Chen H, et al. (2017) Centrifugal Microfluidic Integrated Optical System for Sensing Pesticide Residues. Biosens J 6: 144. doi:10.4172/2090-4967.1000144

Copyright: © 2017 Liu J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



We proposed and demonstrated an effective and non-destructive centrifugal microfluidic sensor (CMS) for analysis of organophosphorus pesticides (OPPs). The CMS was designed to have a sequential sample injection with two capillary valves. The actuation mechanism of CMS was controlled by centrifugal force, i.e. relative centrifugal force (×g). The OPPs analyte in CMS could be successfully derived into a mixer at 34 g and then spined into a detection reservoir at 537 g. The experiment results indicated that limit of detection for OPPs using CMS was 0.05 ppm, a linear relationship between OPPs logarithmic concentration (ppm) and inhibition rate (%) was 0.9215. Furthermore, series fresh vegetables were extracted and assayed for OPPs residue detection by using CMS. It was effective for OPPs detection. A non-destructive, rapid, reliable, and sensitive approach to OPPs analysis was demonstrated. This in turn opens up opportunities for healthcare applications, notably environmental monitoring, foods safety and other fields.


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