Development of a fast, simple, and sensitive colorimetric method to determine benzothiazole based on the plasmonic response of gold nanoparticles

Asrariyan, Raziyeh; Elhami, Shahla

doi:10.1007/s11696-017-0224-6

Cited by 9 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These methods are difficult, expensive, time-consuming, and require sophisticated instruments and complicated procedures for pretreatment of samples [14] . Unlike these methods, ultraviolet-visible spectroscopy (UV-Vis) method has many advantages such as the instrumentation common availability, simplicity, inexpensive, high speed, as well as good precision and accuracy [15] . The visual observation is a great feature of this method that gold nanoparticles (AuNPs) show this strategy based on the color shift from red to blue [16] .…”

Section: Introductionmentioning

confidence: 99%

Spectrophotometric Determination of Trace Amounts of Benzotriazole in Aqueous Solutions Using Gold Nanoparticles: Artificial Neural Network Modeling

et al. 2020

View full text Add to dashboard Cite

In this study, ultraviolet-visible (UV-Vis) spectrophotometry method was applied to determine benzotriazole (BTA) in aqueous solutions based on surface plasmon resonance (SPR) property of gold nanoparticles (AuNPs). The experimental variables such as pH, time, the volume of various buffers, the concentration of different electrolytes, and concentrations of AuNPs were investigated. Under optimum conditions, the proposed method represented a linear range between 10 to 150 μg L À 1 (R 2 = 0.9941) with a detection limit (LOD) of 5 μg L À 1 . This method was successfully used to measure trace amounts of BTA in Ahwaz drinking water and Ramin power plant cooling water samples. The proposed spectrophotometry assay is accurate, low-cost, simple, and does not need any separation steps compared to the other methods. In the next step, an artificial neural network (ANN) using Levenberg-Marquardt (LM) and Resilient Back propagation (RP) algorithms, was used to predict the absorbance of the mentioned factors. For each algorithm, 2 layers and for each layer 2,4,6,8, and 10 neurons were studied. According to mean square error (MSE) and coefficient of determination (R 2 ), the LM algorithm was better than the RP algorithm for the prediction of absorbance.[a] Dr.

show abstract

Section: Introductionmentioning

confidence: 99%

Spectrophotometric Determination of Trace Amounts of Benzotriazole in Aqueous Solutions Using Gold Nanoparticles: Artificial Neural Network Modeling

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Therefore, there is a need to provide methods for the precise measurement of its very low amounts. There have been a variety of methods that have been applied to determine diazoles some of which Mercaptobenzothiazole (MBT) [4], Benzotiazole (BT) [5], Benzotriazole (BTA) [6] and also ultraviolet Spectrophotometry [7], Anodic chronopotentiometry [8], Amperometric titration [9], and High Performance Liquid Chromatography (HPLC) [10,11]. But the above mentioned methods have high, expensive and often timeconsuming costs.…”

Section: Introductionmentioning

confidence: 99%

Using Gold Nanoparticles for Ultra trace Spectrophotometry Determination of Tolyltriazole in Aqueous Media

Esmaile¹,

Sohrabi²,

Motiee³

2018

Adv Tech Biol Med

View full text Add to dashboard Cite

In this study, the detection limit sensitivity to the level of μg L-1 was achieved. For this, by applying AuNPs signal fluctuations of high sensitivity was carefully monitored so that they become measureable with highest possible precision. The proposed method is capable of determining TTA over a range of 10-100 µgL-1 with a limit of detection 5 µg L-1. The relative standard deviation of the method was 3% and 1.5%. The obtained preliminary results from this study proved to be effectively successful in determination of TTA in water. A comparison between the proposed method and the previously published methods for TTA determination has also been made for the first time.

show abstract

Rapid and Sensitive Spectrophotometry Method Based on Gold Nanoparticles for Trace Determination of Benzotriazole in Aqueous Solutions

2020

View full text Add to dashboard Cite

Development of a fast, simple, and sensitive colorimetric method to determine benzothiazole based on the plasmonic response of gold nanoparticles

Cited by 9 publications

References 27 publications

Spectrophotometric Determination of Trace Amounts of Benzotriazole in Aqueous Solutions Using Gold Nanoparticles: Artificial Neural Network Modeling

Spectrophotometric Determination of Trace Amounts of Benzotriazole in Aqueous Solutions Using Gold Nanoparticles: Artificial Neural Network Modeling

Using Gold Nanoparticles for Ultra trace Spectrophotometry Determination of Tolyltriazole in Aqueous Media

Rapid and Sensitive Spectrophotometry Method Based on Gold Nanoparticles for Trace Determination of Benzotriazole in Aqueous Solutions

Contact Info

Product

Resources

About