Pine Stands as Bioindicators: Justification for Air Toxicity Monitoring in an Industrial Metropolis

Polyakova, G. G.; Pashenova, N. V.; Senashova, V. A.; Podolyak, Natalia M.; Kudryasheva, Nadezhda S

doi:10.3390/environments7040028

Cited by 6 publications

(11 citation statements)

References 19 publications

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“…One of the solutions to this problem is the real-time or near real-time monitoring of toxic metals. The use of bioassays involving plants, microorganisms and enzyme assays can address this issue [ 43 , 44 , 45 ]. In enzyme assays, the sampling to detection period can be carried out in less than one hour using a portable spectrophotometer, and thus is a perfect candidate for near real-time analysis.…”

Section: Resultsmentioning

confidence: 99%

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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: Near Real-time Field Trialsmentioning

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

“…One of the solutions to this problem is real-time or near real-time monitoring of heavy metals. The use of bioassays involving plants, microorganisms and enzyme assays can address this issue [41][42][43]. In enzyme assays, the sampling to detection period can be carried out in less than one hour using a portable spectrophotometer and thus is a perfect candidate for near real-time analysis.…”

Section: Near Real-time Field Trialsmentioning

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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“…Soil pollution caused by human activity can pose a serious risk to human health, the environment, groundwater and soil. Diagnosis of ecosystem damage at an early stage is an important task in terms of preventive measures against toxic impacts [1,2].…”

Section: Introductionmentioning

confidence: 99%

Statistical Evaluation of Quantities Measured in the Detection of Soil Air Pollution of the Environmental Burden

et al. 2021

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The article highlights the investigation of the relationships between measured quantities during the atmospheric geochemical survey of contaminated soil and the environmental burden of the industrial establishment in eastern Slovakia. Statistical data processing was undertaken from the measured values of pollutants. The basic statistical characteristics of the monitored indicators were defined here. With the help of regressive and correlative analysis, dependency was confirmed between examined values, further expressed by a mathematical relationship. We analysed variability of the measured variables due to the influence of changed input quantities by the non-parametric Wilcox test. The statistical data processing helps us to identify the dependency between the measured values and improves valorization of the pollution of a given environmental burden. This was due to the handling of organic pollutants and the production of basic organic and inorganic chemicals stated for other industries. Chemical analysis of soil air helps us to determine the extent and amount of soil contamination by pollutants. Individual pollutants have their own characteristic properties and their negative effects on biota, the environment and humans are different.

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Pine Stands as Bioindicators: Justification for Air Toxicity Monitoring in an Industrial Metropolis

Cited by 6 publications

References 19 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

Statistical Evaluation of Quantities Measured in the Detection of Soil Air Pollution of the Environmental Burden

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