MétaCan
Menu
Retour à la cohorte
Enregistrement W2803840945 · doi:10.1149/ma2018-01/36/2141

Developing Wrinkled Surface to Achieve Low-Cost Photoelectrochemical Biosensor and Study the Interplay between LSPR of Nanoparticles and Semiconductive Quantum Dots

2018· article· en· W2803840945 sur OpenAlexaff
Sudip Saha, Leyla Soleymani

Notice bibliographique

RevueECS Meeting Abstracts · 2018
Typearticle
Langueen
DomaineEngineering
ThématiqueAdvanced Materials and Mechanics
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésPhotocurrentMaterials scienceBiosensorQuantum dotNanotechnologyOptoelectronicsPlasmonSemiconductorElectrodeNanoparticleLayer (electronics)PhotoelectrochemistryElectrochemistryChemistry

Résumé

récupéré en direct d'OpenAlex

The emergence of photoelectrochemical (PEC) biosensors has opened the door to achieve biosensors with a low limit-of-detection as PEC technique offers reduced background signals 1,2 . As a result, researchers are trying to use PEC technique to achieve low-cost and ultrasensitive biosensors. In this work, we proposed a novel method for fabricating flexible, low-cost PEC sensor substrates. Exploiting wrinkled surfaces, we have shown an increase in the photocurrent density of more than 700%. We investigated photocurrent density of CdTe Quantum dots (QD) on top of wrinkled and planar ITO surface. The quality of the substrates has been also verified by measuring sheet resistance and electron mobility. Moreover, these substrates, with an enhanced PEC response, have been used to investigate the interplay between localized surface plasmonic effects (LSPR) and photoactive semiconductor materials using DNA as spacer and gold nanoparticle as plasmonic materials. The wrinkled structure has been achieved by thermally shrinking (heating at 140°C for 5 minutes) pre-stretched PS substrates modified using various surface treatments. RF sputtering technique has been used to deposit ITO on planar and wrinkled PS. The thicknesses of the ITO film used for this study are 50nm and 100nm. Two methods have been used to prepare the wrinkled electrodes. In the first method, thermal shrinking has been done after putting ITO on PS, whereas for other method, PS substrates were cleaned using UV-Ozone (UVO) and then heated to shrink. ITO was sputtered on those shrunk substrates. CdTe QDs have been deposited using the layer-by-layer method. The photocurrent was measured by using chronoamperometry in a three-electrode setup illuminated using an LED excitation source. Scanning electron microscopy (SEM) has been used to visualize the structure of the electrodes. Cross-sectional Transmission electron microscopy (TEM) is used to probe the QD distribution in both planar and wrinkled ITO surface. To investigate the interplay between LSPR of metallic nanoparticles and the photo-activity of semiconductor quantum dots, a material architecture based on a DNA spacer was developed on the optimized wrinkled electrode. The length of DNA spacer was adjusted to tune the distance between the nanoparticles and the QDs. Substrates created by ITO deposition following the shrinking process showed the highest photocurrent density (more than 700% enhancement) among the analyzed samples. SEM images showed that when the substrates were heated after depositing ITO, it tends to break in places, which creates more surface defects, whereas more uniform ITO is obtained if the thin film is applied after wrinkling. TEM images showed much higher QD density on the wrinkled substrate compared to the planar one. By controlling the distance of the QD and Au-NP, the photocurrent can be enhanced or quenched. Quenching of the photocurrent have been observed when longer DNA was used as probe, whereas photocurrent enhancement was achieved by using shorter oligonucleotide. The substrates developed here are ideally suited for enhancing the limit of detection of biosensors. Moreover, this platform has enabled us to study the interaction between plasmonic nanoparticles and photoactive semi-conductive QDs to understand the underlying mechanisms for enhancing or quenching the photocurrent. Devadoss, A., Sudhagar, P., Terashima, C., Nakata, K. & Fujishima, A. Photoelectrochemical biosensors: New insights into promising photoelectrodes and signal amplification strategies. Journal of Photochemistry and Photobiology C: Photochemistry Reviews 24, 43–63 (2015). Fan, G., Han, L., Zhang, J. & Zhu, J. Enhanced Photoelectrochemical Strategy for Ultrasensitive DNA Detection Based on Two Different Sizes of CdTe Quantum Dots Cosensitized TiO 2 /CdS:Mn Hybrid Structure. Analytical Chemistry (2014). doi:10.1021/ac503043w

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,545

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,019
Tête enseignante GPT0,281
Écart entre enseignants0,262 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueECS Meeting AbstractsMême sujetAdvanced Materials and MechanicsTravaux en français237 207