Resonance Rayleigh scattering technique-using chitosan-capped gold nanoparticles, approaches spectrofluorimetric method for determination of Bentazone residual in water samples

Abstract

In this study, a resonance Rayleigh scattering technique-based sensing method for detecting Bentazone residual in water samples has been developed. This technique was carried out using chitosan-capped gold nanoparticles with a spectrofluorimetric method. Experimental results revealed that the developed method could allow the detection of Bentazone residual as low as a concentration of 0.02 ng mL⁻¹ within 50-sec time. Overall results confirmed the very low detection limit for measuring the Bentazone. The chitosan-capped gold nanoparticles as an excellent sensor were applied to measure and analyze Bentazone in water samples.

SIGNIFICANCE AND NOVELTY

This article developed a resonance Rayleigh scattering technique-based sensing method for the detection of bentazone residual in water samples. This technique was carried out using chitosan-capped gold nanoparticles with spectrofluorimetric method. Because, Chitosan-capped AuNPs have exciting features, such as resonance Rayleigh scattering (RRS).

HIGHLIGHTS

• Use of Chitosan-capped AuNPs sensor as an inexpensive valuable resource, and nontoxic.

• Chitosan has no toxicity, does not cause allergies and irritations, and is biodegradable and biocompatible.

• Chitosan-capped AuNPs have exciting features, such as resonance Rayleigh scattering (RRS). These properties are enhanced and modified by adding a hydrophilic polymer such as natural chitosan.

Keywords:

• Bentazone
• chitosan-capped gold nanoparticles
• detection limit
• resonance Rayleigh scattering

Acknowledgment

The authors would like to acknowledge and thank the partial support of the Islamic Azad University, Branch of Islamshahr, Iran.

Author contribution

Elham Pournamdari: Conceptualization, Methodology, Resources, Writing-original draft, Supervision. Leila Niknam: Conceptualization, Resources, Writing-original draft, Supervision.

Disclosure statement

The author confirms that he has no conflicts of interest that would adversely influence this research. The research was supported by a grant carried out with the help of the Islamic Azad University Islamshahr branch, Iran, and the facilities of the laboratory section in unit water treatment.

Data availability statements

The original contributions presented are included in the article. Further inquiries and all data can be the results in this current article.

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.