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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A Study of the Effects of pH and Surfactant Addition on Gold Nanoparticle Aggregation

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Basso, Caroline Rodrigues [1] ; Crulhas, Bruno Pereira [1] ; Castro, Gustavo Rocha [1] ; Pedrosa, Valber Albuquerque [1]
Total Authors: 4
[1] UNESP Botucatu, Dept Chem & Biochem, Inst Biosci, BR-18618000 Botucatu, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Journal of Nanoscience and Nanotechnology; v. 20, n. 9, p. 5458-5468, SEP 2020.
Web of Science Citations: 0

Gold nanoparticles (AuNPs) can provide a simple, easy-to-use, inexpensive, at hand point-of-care (POC) fast to diagnose; however, AuNPs have the predisposition to form aggregations. Since the nanoparticles stability is an important issue, this article is aiming to study the long-term stability associated with the development of an immunosensor for clinical diagnosis. Here, we assessed two previous methods commonly described in the literature to prevent the formation of aggregate by studying pH and Tween (R) 20 (polysorbates) addition as surfactant. AuNPs were characterized through ultraviolet- visible (UV-Vis), dynamic light scattering (DLS) and transmission electron microscopy (TEM) and through analysis in the ImageJ software. We found that the Tween (R) 20 provided more than stable condition in aqueous solution in comparison to pH dependence. The fabricated AuNPs were further used to detect dengue virus and demonstrating that its use at pH 7.2 did not maintain reproducibility in the detection of dengue virus after one year. Unlike, the Tween (R) 20 modified AuNPs that detected dengue virus soon after the synthesis and over the course of one year demonstrating the high sensitivity of immunosensor. Finally, our result showed excellent dispersity throughout the year when using Tween (R) 20 to avoid aggregation. (AU)

FAPESP's process: 16/15919-8 - Monitoring of prostate cancer biomarkers using a biosensor
Grantee:Valber de Albuquerque Pedrosa
Support type: Regular Research Grants