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Copyright © 2016 Ying Lu 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.

Abstract

A sensitive and specific immunosensor was developed by immobilizing HRP-labeled antibody against Listeria monocytogenes onto the surface of the novel multiwalled carbon nanotube fibers. Firstly, the influence of immunoelectrode modification methods (chemical and physical method) on detection sensitivity and stability was studied. Next, immunosensor was developed, optimized, and applied for the detection of L. monocytogenes. The morphology was characterized by scanning electron microscopy (SEM), and electrochemical behaviors were by cyclic voltammetry. SEM image, relative response (%), and current data showed chemical modification for immunoelectrode was helpful to capture more target bacteria and obtain more stable current response, resulting in improving the detection sensitivity. The linear relationship between L. monocytogenes concentration and Δ [subscript] I p c [/subscript] was from 102 to 105 cfu/mL ( [superscript] R 2 [/superscript] = 0.993 ), and LOD was 1.07 × [superscript] 10 2 [/superscript] cfu/mL. L. monocytogenes in mixed bacteria (1.51 × 103 cfu/mL) of milk sample (S/N > 14) were detected by developed immunosensor, showing good specificity. Good storage stability and reproducibility (RSD < 6.5%) also showed the potential application of immunosensor for the rapid detection of L. monocytogenes.

Details

Title
A Novel and Disposable Enzyme-Labeled Amperometric Immunosensor Based on MWCNT Fibers for Listeria monocytogenes Detection
Author
Lu, Ying; Liu, Yongling; Zhao, Yong; Li, Wenjiao; Qiu, Longbing; Li, Li
Publication year
2016
Publication date
2016
Publisher
John Wiley & Sons, Inc.
ISSN
16874110
e-ISSN
16874129
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1799519226
Copyright
Copyright © 2016 Ying Lu 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.