Trace determination of linear alkylbenzene sulfonates using ionic liquid based ultrasound-assisted dispersive liquid–liquid microextraction and response surface methodology

Arvand, Majid; Bozorgzadeh, Elahe; Shariati, Shahab; Zanjanchi, Mohammad Ali

doi:10.1039/c2ay25302j

Cited by 20 publications

(10 citation statements)

References 39 publications

(32 reference statements)

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“…Notably, the use of RSM increased the A595 nm values by 0.1 absorbance value on average, which is a marked improvement. The use of RSM in analytical works to improve the sensitivity of detection has been documented in many cases [ 18 , 19 , 20 , 32 , 33 , 34 ], and the improving of the sensitivity of toxic metals in the ficin assay is a testament to the utility of RSM. In this study, we utilized the one-phase exponential decay model, which gave good fitting to the experimental data, with the coefficient of determination ( R 2 ) values ranging from 0.9545 to 0.995.…”

Section: Resultsmentioning

confidence: 99%

“…The goal is to maximize the rates of these variables simultaneously to produce the most optimum results. In analytical chemistry, RSM has often been used to optimize the detection of analytes in a number of cases [ 18 , 19 , 20 ]. The use of RSM in improving the sensitivity of toxic metals detection in a protease-based inhibitive assay has never been attempted, and this work, to the best of our knowledge, is the first such attempt.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improvement of Ficin-Based Inhibitive Enzyme Assay for Toxic Metals Using Response Surface Methodology and Its Application for Near Real-Time Monitoring of Mercury in Marine Waters

Uba

Manogaran

Gunasekaran

et al. 2020

IJERPH

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Potentially toxic metals pollution in the Straits of Malacca warrants the development of rapid, simple and sensitive assays. Enzyme-based assays are excellent preliminary screening tools with near real-time potential. The heavy-metal assay based on the protease ficin was optimized for mercury detection using response surface methodology. The inhibitive assay is based on ficin action on the substrate casein and residual casein is determined using the Coomassie dye-binding assay. Toxic metals strongly inhibit this hydrolysis. A central composite design (CCD) was utilized to optimize the detection of toxic metals. The results show a marked improvement for the concentration causing 50% inhibition (IC50) for mercury, silver and copper. Compared to one-factor-at-a-time (OFAT) optimization, RSM gave an improvement of IC50 (mg/L) from 0.060 (95% CI, 0.030–0.080) to 0.017 (95% CI, 0.016–0.019), from 0.098 (95% CI, 0.077–0.127) to 0.028 (95% CI, 0.022–0.037) and from 0.040 (95% CI, 0.035–0.045) to 0.023 (95% CI, 0.020–0.027), for mercury, silver and copper, respectively. A near-real time monitoring of mercury concentration in the Straits of Malacca at one location in Port Klang was carried out over a 4 h interval for a total of 24 h and validated by instrumental analysis, with the result revealing an absence of mercury pollution in the sampling site.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improvement of Ficin-Based Inhibitive Enzyme Assay for Toxic Metals Using Response Surface Methodology and Its Application for Near Real-Time Monitoring of Mercury in Marine Waters

Uba

Manogaran

Gunasekaran

et al. 2020

IJERPH

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show abstract

“…average, which is a marked improvement. The use of RSM in analytical works to improve the sensitivity of detection has been documented in many cases [15][16][17][29][30][31], and the improving of the sensitivity of heavy metals in the ficin assay is a testament to the utility of RSM. In this study, we utilized the one-phase exponential decay model, which gave good fitting to the experimental data with the coefficient of determination Table 5).…”

Section: Comparison Of Ofat and Rsm In Mercury Detection Using Ficinmentioning

confidence: 99%

“…The goal is to maximize the rates of these variables simultaneously to produce the most optimum results. In analytical chemistry, RSM has often been used to optimize the detection of an analyte in a number of cases [15][16][17]. The use of RSM in improving the sensitivity of heavy metals detection in a protease-based inhibitive assay has never been attempted and this work, to the best of our knowledge, is the first of such an attempt.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Ficin-Based Inhibitive Enzyme Assay for Mercury Using Response Surface Methodology and Its Application for Near Real-Time Monitoring of Mercury in Marine Waters

Uba¹,

Manogaran²,

Gunasekaran³

et al. 2020

Preprint

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Heavy metals pollution in the Straits of Malacca warrants the development of rapid, simple and sensitive assays. Enzyme-based assays are excellent preliminary screening tool with near real-time potential. The heavy-metal assay based on the protease ficin was optimized for mercury detection using Response Surface Methodology. The inhibitive assay is based on ficin action on the substrate casein and residual casein is determined using the Coomassie dye-binding assay. Heavy metals strongly inhibit the hydrolysis. A Central Composite Design (CCD) was utilized to optimize detection. The results show a marked improvement for the concentration causing 50% inhibition (IC50) for mercury, silver and copper. Compared to One-factor-at-a-time (OFAT) optimization, RSM gave an improvement of IC50 from 0.060 (95% CI, 0.0300.080) to 0.017 (95% CI, 0.0160.019), from 0.098 (95% CI, 0.0770.127) to 0.028 (95% CI, 0.0220.037) and from 0.040 (95% CI, 0.035.045) to 0.023 (95% CI, 0.0200.027), for mercury, silver and copper, respectively. A near real-time monitoring of mercury concentration in the Straits of Malacca at one location in Port Klang was carried out over a 4-h interval for a total of 24 h and validated by instrumental analysis with the result revealing an absence of mercury pollution in the sampling site.

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“…Some techniques are based on a complexing agent and surfactant, which lowers adhesive interactions between the IL and the vessel wall. On the other hand, in ionic liquid-based ultrasound-assisted dispersive liquid-liquid microextraction (IL-USA-DLLME) the dispersion effect is achieved by means of ultrasound (Arvand et al, 2012). In vortex-assisted liquid-liquid microextraction (VALLME), the IL is dispersed throughout the sample by vortex mixing (Chamsaz et al, 2013).…”

Section: Green Extraction Phases For Microextraction Techniquesmentioning

confidence: 99%

8 Green Aspects of Miniaturized Sample Preparation Techniques

Kloskowski¹,

Marcinkowski²,

Namieśnik³

2014

Miniaturization in Sample Preparation

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Trace determination of linear alkylbenzene sulfonates using ionic liquid based ultrasound-assisted dispersive liquid–liquid microextraction and response surface methodology

Cited by 20 publications

References 39 publications

Improvement of Ficin-Based Inhibitive Enzyme Assay for Toxic Metals Using Response Surface Methodology and Its Application for Near Real-Time Monitoring of Mercury in Marine Waters

Improvement of Ficin-Based Inhibitive Enzyme Assay for Toxic Metals Using Response Surface Methodology and Its Application for Near Real-Time Monitoring of Mercury in Marine Waters

Improvement of Ficin-Based Inhibitive Enzyme Assay for Mercury Using Response Surface Methodology and Its Application for Near Real-Time Monitoring of Mercury in Marine Waters

8 Green Aspects of Miniaturized Sample Preparation Techniques

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