Deposition of Gold Nano-Micro Islands on Electrochemically Reduced Graphene Oxide to Use in Combination with Molecularly Imprinted Polymers
Notice bibliographique
Résumé
Molecularly imprinted polymers (MIPs) are known as an alternative for antibodies in immunosensors with high stability and low production cost. MIP approach relies on polymerization in the presence of a template molecule and subsequent template removal. In this process, the template molecule is exactly the same as the target molecule leading to a good selectivity for the biomimetic sensor [1]. The integration of MIPs with nanomaterials enables ultrasensitive sensors for various analytes. Besides, nanomaterials with uniform distribution and suitable morphology provide a wide linear range of detection for the sensor [1]. In particular, the controlled electrodeposition of gold can supply gold nano-micro islands (NMIs) with remarkable electrochemical behavior and high active surface area [2, 3]. However, it is found that the modification of an electrode surface using electrochemically reduced graphene oxide (ERGO), as a facile and fast method, not only increases the surface area but also improves its electrochemical behavior [4]. Herein, we describe a surface modification strategy based on indium tin oxide (ITO) electrode coated with ERGO to increase the surface active sites for nucleation and deposition of NMI. For this aim, we electrochemically reduced graphene oxide (GO) by one cycle in cyclic voltammetry (CV) with a scan rate of 100 mV s-1 in the range of -0.6 to -2 VAg/AgCl. The succeed of the electrochemical reduction was confirmed through ID/IG ratio in Raman spectroscopy and observing the enhanced electrochemical behavior in CV and electrochemical impedance spectroscopy (EIS) tests. The gold layers were deposited at 0 and -0.4 VAg/AgCl in 5, 50 and 100 mM HAuCl4 solutions for 50 and 300 s. The surface area of the resulted structures was also determined by integrating the reduction peak in CV tests in 50 mM H2SO4 solution [2]. The results showed that the gold structure deposited from 100 mM HAuCl4 at 0 VAg/AgCl for 50 s provided a significant surface area (0.47 cm2) on the electrode surface of 1 mm diameter, while this value for gold nanoparticles, as the common form of gold nanostructure in electrochemical biosensing, was determined only 0.063 cm2. This noticeable increase in surface area can result in a wide linear range of detection as well as excellent electrochemical behavior in biosensing applications. Scanning electron microscopy (SEM) of NMI structures deposited on both ITO and ERGO/ITO electrodes indicated a shrub-like structure because of the concentration polarization governed during gold deposition. Transmission scanning electron microscopy (TEM) of the NMI displayed Au (113) as the main crystalline plane. Based on the chronoamperometry plots, the gold deposition mechanism on the surface of both electrodes was according to the instantaneous deposition mode [2]. However, the electrode background surface indicated that the ERGO/ITO was uniformly covered by gold. This was attributed to the higher nucleation sites on the ERGO-modified electrode, which was confirmed by the increase of double-layer formation time (tmax). Accordingly, several nucleation stages on the chronoamperometry plot during NMI deposition on the ERGO/ITO electrode, were related to the formation of gold shrub-like structures with more needle-shaped structures. Finally, electropolymerization of a thin layer of o-phenylenediamine in the presence of Heart-fatty acid binding protein (H-FABP) as the template molecule and its subsequent removal was applied to make a biomimetic sensor. In this study, we demonstrated that the biomimetic developed electrode with high surface area, low production cost, and facile and fast synthesis method is acceptably selective to H-FABP against other cardiac biomarkers and serum proteins. KEYWORDS: Electrodeposition; Electrochemically reduced graphene oxide; Electrochemical sensors; Gold nano-micro islands; Molecularly imprinted polymers. References [1] R. Gui, H. Jin, H. Guo, Z. Wang, Recent advances and future prospects in molecularly imprinted polymers-based electrochemical biosensors, Biosens. Bioelectron. 15 (2018) 56-70. [2] S. Mahshid, A. H. Mepham, S. S. Mahshid, B. BurgessI, T. SaberiSafaei, E. H. Sargent, S. O. Kelley, Mechanistic Control of the Growth of Three-Dimensional Gold Sensors, The Journal of Physical Chemistry C 120 (2016) 21123-21132. [3] M. Jalali, T. Abdel Fatah, S. S. Mahshid, M. Labib, A. S. Perumal, S. Sara Mahshid, A Hierarchical 3D Nanostructured Microfluidic Device for Sensitive Detection of Pathogenic Bacteria, Small 14 (2018) 1801893. [4] A. Sanati, M. Jalali, K. Raeissi, F. Karimzadeh, M. Kharaziha, S. S. Mahshid, S. Mahshid, A review on recent advancements in electrochemical biosensing using carbonaceous nanomaterials, Microchimica Acta 186 (2019) 773.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».