Your browser doesn't support javascript.
loading
Design of a Porous Silicon Biosensor: Characterization, Modeling, and Application to the Indirect Detection of Bacteria.
Vercauteren, Roselien; Gevers, Clémentine; Mahillon, Jacques; Francis, Laurent A.
Affiliation
  • Vercauteren R; Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium.
  • Gevers C; Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium.
  • Mahillon J; Laboratory of Food and Environmental Microbiology, Earth and Life Institute, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium.
  • Francis LA; Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium.
Biosensors (Basel) ; 14(2)2024 Feb 17.
Article de En | MEDLINE | ID: mdl-38392023
ABSTRACT
The design of a porous silicon (PSi) biosensor is not often documented, but is of the upmost importance to optimize its performance. In this work, the motivation behind the design choices of a PSi-based optical biosensor for the indirect detection of bacteria via their lysis is detailed. The transducer, based on a PSi membrane, was characterized and models were built to simulate the analyte diffusion, depending on the porous nanostructures, and to optimize the optical properties. Once all performances and properties were analyzed and optimized, a theoretical response was calculated. The theoretical limit of detection was computed as 104 CFU/mL, based on the noise levels of the optical setup. The experimental response was measured using 106 CFU/mL of Bacillus cereus as model strain, lysed by bacteriophage-coded endolysins PlyB221. The obtained signal matched the expected response, demonstrating the validity of our design and models.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Silicium / Bactéries / Techniques de biocapteur Langue: En Journal: Biosensors (Basel) Année: 2024 Type de document: Article Pays d'affiliation: Belgique Pays de publication: Suisse

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Silicium / Bactéries / Techniques de biocapteur Langue: En Journal: Biosensors (Basel) Année: 2024 Type de document: Article Pays d'affiliation: Belgique Pays de publication: Suisse