Potentially toxic metal environmental pollution in sediments of a model hydroelectric plant water reservoir in Brazil

Cabral, João Batista Pereira; Oliveira, Susy Ferreira; Santos, Francismário Ferreira dos; Becegato, Valter Antônio; Becegato, Vitor Rodolfo; Paulino, Alexandre Tadeu

doi:10.1007/s12665-021-09808-y

Cited by 4 publications

(2 citation statements)

References 48 publications

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“…Since the reform and opening up, China's economic power has greatly increased, creating many outstanding achievements. And people's living standards have also undergone earth-shaking changes [ 1 ]. During this period, China's GDP growth rate reached 9.8%, becoming the country with the fastest economic growth in the same period.…”

Section: Introductionmentioning

confidence: 99%

Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things

Sun

Zhang

et al. 2022

International Journal of Analytical Chemistry

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In order to solve the problems of single monitoring factor, weak comprehensive analysis ability, and poor real time performance in traditional environmental monitoring systems, a research method of residential environment pollution monitoring system based on cloud computing and Internet of Things is proposed. The method mainly includes two parts: an environmental monitoring terminal and an environmental pollution monitoring and management platform. Through the Wi-Fi module, the data is sent to the environmental pollution monitoring and management platform in real time. The environmental monitoring management platform is mainly composed of environmental pollution monitoring server, web server, and mobile terminal. The results are as follows. The data measured by the system is close to the data measured by the instrument, and the overall error is small. The measurement error of harmful gases is about 6%. PM 2.5 is about 6.5%. Noise is about 1%. The average time for sensor data update is 0.762 s. The average alarm response time is 2 s. The average data transfer time is 2 s. Practice has proved that the environmental pollution monitoring and alarm system operates stably and can realize real-time collection and transmission of data such as noise, PM 2.5, harmful gas concentration, illumination, GPS, and video images, providing a reliable guarantee for timely environmental pollution control.

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Section: Introductionmentioning

confidence: 99%

Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things

Sun

Zhang

et al. 2022

International Journal of Analytical Chemistry

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“…Studies based on environmental samples also evidenced heavy metal contamination of ecosystems in Caatinga, Cerrado, and Pantanal due to multiple anthropogenic activities (e.g., pesticide use, mining and industrial activities, urbanization, wildfires) [ [45] , [46] , [47] , [48] , [49] , [50] , [51] ]. Heavy metal pollution in a given biome may have more extensive impacts than anticipated.…”

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confidence: 99%

Brazil's heavy metal pollution harms humans and ecosystems

Ellwanger

2023

Science in One Health

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Comparison of the Performance of ICP-MS, CV-ICP-OES, and TDA AAS in Determining Mercury in Marine Sediment Samples

Provete,

Dalfior,

Mantovaneli

et al. 2024

ACS Omega

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Mercury (Hg) determination in marine sediment is an analytical challenge due to the toxicity of this element even at low concentrations (up to 130 μg kg −1 in marine sediments) and complex matrices. Therefore, it is necessary to use analytical techniques that have high sensitivity, selectivity, and low limits of quantification (LoQ). In this study, two methods that require sample treatment and one method with direct sampling were studied. The techniques studied were inductively coupled plasma mass spectrometry (ICP-MS), inductively coupled plasma optical emission spectrometry with cold vapor generation (CV-ICP-OES), and atomic absorption spectrometry with thermodecomposition and amalgamation (TDA AAS) for Hg determination in marine sediment samples. Since ICP-MS has more studies in the literature, optimization with design of experiments was developed for CV-ICP-OES and TDA AAS. Although it was found to have low levels of instrumental LoQ for all three techniques, differences were found once the method LoQ was calculated. The calculation for method LoQ considers all analytical procedures executed, including sample treatment, which provides a 100-fold dilution for ICP-MS and CV-ICP-OES. The method LoQ obtained were 1.9, 165, and 0.35 μg kg −1 for ICP-MS, CV-ICP-OES, and TDA AAS, respectively. Comparing marine sediment sample analyses, Hg concentrations had no statistical difference when determined by ICP-MS and TDA AAS. It was not possible to determine Hg in marine sediment samples by CV-ICP-OES due to the high method LoQ obtained (165 μg kg −1 ). Although ICP-MS has the advantage of being a multielemental technique, it is high-value equipment and needs a large volume of argon, which has a high cost in the market, and it requires sample treatment. On the other hand, TDA AAS-based spectrometer DMA-80 performs direct sampling, avoiding the pretreatment stage, and has a relatively lower cost, both in terms of initial investment and maintenance, while maintaining the high sensitivity, accuracy, and precision required for Hg determination on marine sediment samples.

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Potentially toxic metal environmental pollution in sediments of a model hydroelectric plant water reservoir in Brazil

Cited by 4 publications

References 48 publications

Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things

Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things

Brazil's heavy metal pollution harms humans and ecosystems

Comparison of the Performance of ICP-MS, CV-ICP-OES, and TDA AAS in Determining Mercury in Marine Sediment Samples

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