Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method
Black Sigatoka is a disease that occurs in banana plantations worldwide. This disease is caused by the hemibiotrophic fungus Pseudocercosporafijiensis, whose infection results in a significant reductioninbothproductqualityandyield. Therefore,detectionandidentificationintheearlystages of this pathogen i...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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2019
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| Online Access: | http://eprints.uanl.mx/15803/1/4.pdf |
| _version_ | 1824414385343299584 |
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| author | Luna Moreno, Donato Sánchez Álvarez, Araceli Islas Flores, Ignacio Canto Canche, Blondy Carrillo Pech, Mildred Villarreal Chiu, Juan Francisco Rodríguez Delgado, Melissa Marlene |
| author_facet | Luna Moreno, Donato Sánchez Álvarez, Araceli Islas Flores, Ignacio Canto Canche, Blondy Carrillo Pech, Mildred Villarreal Chiu, Juan Francisco Rodríguez Delgado, Melissa Marlene |
| author_sort | Luna Moreno, Donato |
| collection | Repositorio Institucional |
| description | Black Sigatoka is a disease that occurs in banana plantations worldwide. This disease is caused by the hemibiotrophic fungus Pseudocercosporafijiensis, whose infection results in a significant reductioninbothproductqualityandyield. Therefore,detectionandidentificationintheearlystages 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 agold-coatedchipviaamixedself-assembledmonolayer(SAM)ofalkanethiolsusingtheEDC/NHS method.Theanalyticalparametersofthebiosensorwereestablished, obtainingalimitofdetectionof 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. |
| format | Article |
| id | eprints-15803 |
| institution | UANL |
| language | English |
| publishDate | 2019 |
| record_format | eprints |
| spelling | eprints-158032023-05-22T14:48:08Z http://eprints.uanl.mx/15803/ Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method Luna Moreno, Donato Sánchez Álvarez, Araceli Islas Flores, Ignacio Canto Canche, Blondy Carrillo Pech, Mildred Villarreal Chiu, Juan Francisco Rodríguez Delgado, Melissa Marlene Black Sigatoka is a disease that occurs in banana plantations worldwide. This disease is caused by the hemibiotrophic fungus Pseudocercosporafijiensis, whose infection results in a significant reductioninbothproductqualityandyield. Therefore,detectionandidentificationintheearlystages 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 agold-coatedchipviaamixedself-assembledmonolayer(SAM)ofalkanethiolsusingtheEDC/NHS method.Theanalyticalparametersofthebiosensorwereestablished, obtainingalimitofdetectionof 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. 2019-06-23 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/15803/1/4.pdf http://eprints.uanl.mx/15803/1.haspreviewThumbnailVersion/4.pdf Luna Moreno, Donato y Sánchez Álvarez, Araceli y Islas Flores, Ignacio y Canto Canche, Blondy y Carrillo Pech, Mildred y Villarreal Chiu, Juan Francisco y Rodríguez Delgado, Melissa Marlene (2019) Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method. Sensors, 19 (3). pp. 2-12. ISSN 1424-8220 (Por publicarse) http://doi.org/10.3390/s19030465 doi:10.3390/s19030465 |
| spellingShingle | Luna Moreno, Donato Sánchez Álvarez, Araceli Islas Flores, Ignacio Canto Canche, Blondy Carrillo Pech, Mildred Villarreal Chiu, Juan Francisco Rodríguez Delgado, Melissa Marlene Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method |
| thumbnail | https://rediab.uanl.mx/themes/sandal5/images/online.png |
| title | Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method |
| title_full | Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method |
| title_fullStr | Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method |
| title_full_unstemmed | Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method |
| title_short | Early Detection of the Fungal Banana Black Sigatoka Pathogen Pseudocercospora fijiensis by an SPR Immunosensor Method |
| title_sort | early detection of the fungal banana black sigatoka pathogen pseudocercospora fijiensis by an spr immunosensor method |
| url | http://eprints.uanl.mx/15803/1/4.pdf |
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