Extraction and determination of Rose Bengal in water samples by dispersive liquid–liquid microextraction coupled to UV–Vis spectrophotometry

kakhki, Roya Mohammadzadeh; Nejati-Yazdinejad, Massoud; Kakeh, Fakhrodin

doi:10.1016/j.arabjc.2013.09.020

Cited by 18 publications

(6 citation statements)

References 18 publications

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“…The dispersing solvent must be fully miscible with both the extraction solvent and the aqueous sample. Generally, polar solvents such as methanol, ethanol, ACN, and acetone are used as dispersing solvents in DLLME [45].…”

Section: Introductionmentioning

confidence: 99%

Dispersive liquid‐liquid microextraction method combined with sugaring‐out homogeneous liquid‐liquid extraction for the determination of some pesticides in molasses samples

Yıldız

Çabuk

2021

J of Separation Science

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In this study, a sensitive analytical method was developed to determine some pesticides (cyprodinil, trifloxystrobin, prometryn, propachlor, fenitrothion, chlorpyrifos, profenofos, and phosalone) in molasses samples. Pesticides were extracted from samples by dispersive liquid‐liquid microextraction method combined with sugaring‐out homogeneous liquid‐liquid extraction and determined by gas chromatography–mass spectrometry analysis. In this method, pesticides in molasses samples were first extracted using a water‐miscible solvent (acetonitrile) in the sugaring‐out homogeneous liquid‐liquid extraction stage. The sugar in the ratio of 84–88% naturally contained in the molasses sample enabled phase separation in the acetonitrile‐water homogeneous mixture. Then acetonitrile phase containing pesticides was used as dispersing solvent in the second step of the process. Under the specified optimum conditions, the limit of detection was calculated between 0.8–6.1 ng/g and the limit of quantification was in the range of 2.5–20 ng/g. The relative standard deviation values of molasses samples containing 150 ng/g of each analyte were found to be lower than 4.9% intra‐day and 5.6% for inter‐day. This validated method has been successfully applied to different types of molasses.

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Section: Introductionmentioning

confidence: 99%

Dispersive liquid‐liquid microextraction method combined with sugaring‐out homogeneous liquid‐liquid extraction for the determination of some pesticides in molasses samples

Yıldız

Çabuk

2021

J of Separation Science

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“…Ultraviolet-visible spectroscopy is a fast analytical method, which has developed rapidly in recent years [1][2][3][4][5]. Because of its advantages of many kinds of measurable substances, wide range of measurable concentrations, fast detection speed, good reproducibility, simple instrument and low analysis cost, it is widely used in qualitative and quantitative analysis of substances [6][7][8][9][10]. At present, largescale and precise ultraviolet-visible spectrometers have been widely used in the fields of industry, agriculture, medicine and biology, and are the main analytical equipment in analytical and testing laboratories [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Development of a Miniature Spectrometer Based on Ultraviolet-Visible Spectroscopy for Quantitative Analysis of Copper and Cobalt

Zhou

Zhu

2020

IEEE Access

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Considering the requirements of miniaturization, integration, digitization and high precision of online detection instrument, a miniature spectrometer based on ultraviolet-visible spectroscopy is developed for the on-line detection of copper and cobalt in the purification process of zinc hydrometallurgy. Firstly, the serial port protocol of spectrometer is developed to realize remote online acquisition of spectral signal. Then, a wavelet threshold denoising method is proposed to eliminate the noise interference caused by the spectrometer and the circuit system. Next, based on the invariance of the dual-wavelength light intensity ratio in the spectral detection, an error correction algorithm is proposed to dynamically eliminate the systematic measurement error caused by light source fluctuations. Finally, the partial least squares method is used to detect the concentration of copper and cobalt, and the detection performance of online miniature spectrometer is compared with that of dual-beam spectrometer. The results show that the developed online analysis instrument can detect polymetal ions in less than 5 min, the average relative error is less than 10%, and the detection accuracy is higher than 94.74%, which is suitable for the online acquisition and analysis of polymetal ions in high concentration zinc solution.

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“…As the metal zinc ores are often accompanied by copper (Cu) and cobalt (Co) metal ions, so the purification process is a key process to control the concentration of impurity ions [3][4][5][6]. When the concentration of trace amounts of copper and cobalt exceeds production standard, it will seriously affect the electrolytic process, even cause burning plates, and finally seriously affect product quality, production efficiency and energy utilization [7][8][9][10]. Therefore, it is very important to realize the online detection of trace ions of copper and cobalt in the purification process, which is conducive to improving the production efficiency, reducing the production cost and promoting the high-efficiency and green production in the zinc hydrometallurgy.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimized Overlapping Peak Separation Algorithm for Simultaneous Detection of Copper and Cobalt by Ultraviolet-Visible Spectroscopy

Zhou

Zhu

2020

IEEE Access

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In the zinc hydrometallurgy, the excessive impurity ions of copper and cobalt are very harmful to the electrolysis process, which affects product quality and wastes resources. In order to solve the problems of low sensitivity, severe spectral overlap and narrow effective band, an overlapping peak separation algorithm based on multi-objective optimization was proposed for simultaneous detection of copper and cobalt in high concentration zinc solution by ultraviolet-visible spectroscopy. First, according to the characteristics of the spectral signal, the derivative spectroscopy by continuous wavelet transform was used to separate the spectral overlapping peaks of copper and cobalt and shield the zinc interference. Then, taking decomposition scale as decision variable, and the information occupancy and peak separation as the optimization targets, a multi-objective optimization model was established and solved using the particle swarm multi-objective optimization method. Finally, derivative spectroscopy combined with zero-crossing method was used to establish calibration curves for simultaneous detection of copper and cobalt. The experimental results show that the proposed method is suitable for simultaneous detection of trace amounts of copper and cobalt in high concentration zinc solution.

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Extraction and determination of Rose Bengal in water samples by dispersive liquid–liquid microextraction coupled to UV–Vis spectrophotometry

Cited by 18 publications

References 18 publications

Dispersive liquid‐liquid microextraction method combined with sugaring‐out homogeneous liquid‐liquid extraction for the determination of some pesticides in molasses samples

Dispersive liquid‐liquid microextraction method combined with sugaring‐out homogeneous liquid‐liquid extraction for the determination of some pesticides in molasses samples

Development of a Miniature Spectrometer Based on Ultraviolet-Visible Spectroscopy for Quantitative Analysis of Copper and Cobalt

Multi-Objective Optimized Overlapping Peak Separation Algorithm for Simultaneous Detection of Copper and Cobalt by Ultraviolet-Visible Spectroscopy

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