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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Nucleic acid detection is widely used in disease diagnosis, food safety, environmental monitoring and many other research fields. The continuous development of rapid and sensitive new methods to detective nucleic acid is very important for practical application. In this study, we developed a rapid nucleic-acid detection method using polymerase chain reaction (PCR) combined with electrokinetic preconcentration based on ion concentration polarization (ICP). Using a Nafion film, the proposed ICP microfluidic chip is utilized to enrich the nucleic acid molecules amplified by PCR thermal cycles. To demonstrate the capability of the microfluidic device and the hybrid nucleic-acid detection method, we present an animal-derived component detection experiment for meat product identification applications. With the reduced cycle numbers of 24 cycles, the detection can be completed in about 35 min. The experimental results show that this work can provide a microfluidic device and straightforward method for rapid detection of nucleic acids with reduced cycle numbers.

Details

Title
Nucleic Acid Detection with Ion Concentration Polarization Microfluidic Chip for Reduced Cycle Numbers of Polymerase Chain Reaction
Author
Yu, Chengzhuang 1 ; Dai, Shijie 1 ; Li, Shanshan 2   VIAFID ORCID Logo  ; Li, Junwei 3   VIAFID ORCID Logo  ; Hu, Hezhi 4 ; Meng, Jiyu 2 ; Wei, Chunyang 2 ; Wu, Jie Jayne 5 

 Hebei Key Laboratory of Smart Sensing and Human–Robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China 
 Hebei Key Laboratory of Smart Sensing and Human–Robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China 
 Institute of Biophysics, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China 
 State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China; Department of Electronics and Information Engineering, Hebei University of Technology, Langfang 065099, China 
 Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA 
First page
1394
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
2072666X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2716571617
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.