Optical Immunosensor for the Detection of Listeria monocytogenes in Food Matrixes

5Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper, simple imine-based organic fluorophore 4-amino-3-(anthracene-9 yl methyleneamino) phenyl (phenyl) methanone (APM) has been synthesized via a greener approach and the same was used to construct a fluorescent immunoassay for the detection of Listeria monocytogenes (LM). A monoclonal antibody of LM was tagged with APM via the conjugation of the amine group in APM and the acid group of anti-LM through EDC/NHS coupling. The designed immunoassay was optimized for the specific detection of LM in the presence of other interfering pathogens based on the aggregation-induced emission mechanism and the formation of aggregates and their morphology was confirmed with the help of scanning electron microscopy. Density functional theory studies were done to further support the sensing mechanism-based changes in the energy level distribution. All photophysical parameters were measured by using fluorescence spectroscopy techniques. Specific and competitive recognition of LM was done in the presence of other relevant pathogens. The immunoassay shows a linear appreciable range from 1.6 × 106-2.7024 × 108 cfu/mL using the standard plate count method. The LOD has been calculated from the linear equation and the value is found as 3.2 cfu/mL, and this is the lowest LOD value reported for the detection of LM so far. The practical applications of the immunoassay were demonstrated in various food samples, and their accuracy obtained was highly comparable with the standard existing ELISA method.

Cite

CITATION STYLE

APA

Servarayan, K. L., Krishnamoorthy, G., Sundaram, E., Karuppusamy, M., Murugan, M., Piraman, S., & Vasantha, V. S. (2023). Optical Immunosensor for the Detection of Listeria monocytogenes in Food Matrixes. ACS Omega, 8(18), 15979–15989. https://doi.org/10.1021/acsomega.2c07848

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free