(Invited) A Versatile Fabrication Platform for Rapid Prototyping of Biosensors
Notice bibliographique
Résumé
Background: Currently, translating biosensing platforms from the laboratory to the market is a lengthy process. One approach to expediting technology translation in this area is to develop rapid prototyping processes that enable an idea to be implemented into a sensor prototype rapidly and inexpensively. Furthermore, this process needs to be scalable to enable mid-volume and large-volume manufacturing for in-field testing and commercialization. In this work, we have developed a versatile rapid prototyping toolbox for creating tunable materials and integrating them into functional devices. Methods: biosensors are multi-lengthscale devices that are often optimized in the nm lengthscale for enhancing surface reaction kinetics and signal generation, in the micrometer lengthscale for addressing mass transport demands, and in the mm lengthscale for interfacing with the fluidic and electrical connections of the outside world. We have created a rapid prototyping toolbox based on craft cutting, self-assembly, electrochemical deposition, and wrinkling of thin films on shrink memory polymers to fabricate multi-lengthscale biosensors using tools available on the laboratory benchtop in a matter of hours. The benchtop processes developed here allow us to tune structural parameters such as roughness, aspect ratio, adhesion, porosity, and minimum feature sizes without the need for semiconductor cleanrooms. Results: We sought to create application-specific materials that translate structural tunability to functional tunability. For this purpose, we have studied the effect of electrode porosity, roughness, and surface area on the sensitivity of electrochemical biosensors. Through this study, we have found that by tuning the electrode morphology and porosity, we are able to enhance the observed electrocatalysis at electrode surfaces. These rapid surface reaction kinetics have enabled us to perform enzyme-free glucose detection in clinically-relevant concentrations of glucose. In addition to direct electrochemical sensing, we combined these newly-developed wrinkled materials with a DNA recognition layer to understand the role of electrode morphology on the sensitivity of DNA sensors. Through these experiments we find that significantly larger signal changes are observed when DNA is displayed on wrinkled surfaces with sub-10 nm pores. In order to create the optimal materials for surface-enhanced Raman spectroscopy (SERS), we used our newly developed rapid prototyping toolbox and combined layer-by-layer self-assembly of gold nanoparticles with substrate-mediated thin film wrinkling. This allowed us to precisely tune the nanoparticle size and separations from the sub-10nm to the sub-micrometer lengthscales. Due to the rapid prototyping nature of this method, we were able to develop application-specific SERS substrates without the need for numerical modeling. Conclusions: In conclusion, we have developed a rapid prototyping tools box that is designed to address the lengthscale engineering needs of the area of biosensing. Using this method, it is possible to rapidly screen through multiple structural parameters to manipulate biosensor sensitivity and signal transduction efficiency.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».