Título

Early detection of the fungal banana black sigatoka pathogen Pseudocercospora fijiensis by an SPR immunosensor method

Autor

DONATO LUNA MORENO

ARACELI SANCHEZ ALVAREZ

Ignacio Rodrigo Islas Flores

Blondy Beatriz Canto Canché

MILDRED RUBI CARRILLO PECH

JUAN FRANCISCO VILLARREAL CHIU

MELISSA MARLENE RODRIGUEZ DELGADO

Nivel de Acceso

Acceso Abierto

Licencia

http://creativecommons.org/licenses/by-nc-nd/4.0

Referencia de datos

datasetDOI/10.3390/s19030465

Materias

SURFACE PLASMON RESONANCE - (AUTORES) BLACK SIGATOKA - (AUTORES) PSEUDOCERCOSPORA FIJIENSIS - (AUTORES) PLANT PATHOGEN - (AUTORES) IMMUNOSENSOR - (AUTORES) BIOLOGÍA Y QUÍMICA - (CTI) BIOLOGÍA Y QUÍMICA - (CTI)

Resumen o descripción

Black Sigatoka is a disease that occurs in banana plantations worldwide. This disease is caused by the hemibiotrophic fungus Pseudocercospora fijiensis, whose infection results in a significant reduction in both product quality and yield. Therefore, detection and identification in the early stages of this pathogen in plants could help minimize losses, as well as prevent the spread of the disease to neighboring cultures. To achieve this, a highly sensitive SPR immunosensor was developed to detect P. fijiensis in real samples of leaf extracts in early stages of the disease. A polyclonal antibody (anti-HF1), produced against HF1 (cell wall protein of P. fijiensis) was covalently immobilized on a gold-coated chip via a mixed self-assembled monolayer (SAM) of alkanethiols using the EDC/NHS method. The analytical parameters of the biosensor were established, obtaining a limit of detection of 11.7 µg mL−1, a sensitivity of 0.0021 units of reflectance per ng mL−1 and a linear response range for the antigen from 39.1 to 122 µg mL−1. No matrix effects were observed during the measurements of real leaf banana extracts by the immunosensor. To the best of our knowledge, this is the first research into the development of an SPR biosensor for the detection of P. fijiensis, which demonstrates its potential as an alternative analytical tool for in-field monitoring of black Sigatoka disease.

Fecha de publicación

2019

Tipo de publicación

Artículo

Versión de la publicación

Versión publicada

Recurso de información

http://cicy.repositorioinstitucional.mx/jspui/handle/1003/1532

Formato

application/pdf

Fuente

Sensors, 19(3), 465, 2019.

Idioma

Inglés

Relación

&

Rodríguez-Delgado, M. (2019). Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method. Sensors, 19(3), 465.

Sugerencia de citación

Luna-Moreno, D., Sánchez-Álvarez, A., Islas-Flores, I., Canto-Canche, B., Carrillo-Pech, M., Villarreal-Chiu, J. F.,

Repositorio Orígen

Repositorio Institucional CICY

Descargas

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