Risk Assessment

Nordberg, Gunnar F.; Fowler, Bruce A.

doi:10.1016/b978-0-444-59453-2.00022-6

Cited by 7 publications

(5 citation statements)

References 41 publications

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“…The sigmoid relationship is in agreement with the traditional toxicology dose–response curves [ 37 , 47 ]. Because this is the first time to study the MFC response to a large toxic compound concentration range, we have determined the dose–response curve of the exoelectrogen to toxic compounds in this work.…”

Section: Resultssupporting

confidence: 83%

Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring

Fei

Ren

2022

Micromachines

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Nowadays, the development of real-time water quality monitoring sensors is critical. However, traditional water monitoring technologies, such as enzyme-linked immunosorbent assay (ELISA), liquid chromatography, mass spectroscopy, luminescence screening, surface plasma resonance (SPR), and analysis of living bioindicators, are either time consuming or require expensive equipment and special laboratories. Because of the low cost, self-sustainability, direct current output and real-time response, microbial fuel cells (MFCs) have been implemented as biosensors for water toxicity monitoring. In this paper, we report a microscale MFC biosensor to study the dose–response curve of exoelectrogen to toxic compounds in water. The microscale MFC biosensor has an anode chamber volume of 200 μL, which requires less sample consumption for water toxicity monitoring compared with macroscale or mesoscale MFC biosensors. For the first time, the MFC biosensor is exposed to a large formaldehyde concentration range of more than 3 orders of magnitudes, from a low concentration of 1 × 10−6 g/L to a high concentration of 3 × 10−3 g/L in water, while prior studies investigated limited formaldehyde concentration ranges, such as a small concentration range of 1 × 10−4 g/L to 2 × 10−3 g/L or only one high concentration of 0.1 g/L. As a result, for the first time, a sigmoid dose–response relationship of normalized dose–response versus formaldehyde concentration in water is observed, in agreement with traditional toxicology dose–response curve obtained by other measurement techniques. The biosensor has potential applications in determining dose–response curves for toxic compounds and detecting toxic compounds in water.

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Section: Resultssupporting

confidence: 83%

Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring

Fei

Ren

2022

Micromachines

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“…In addition to the level of exposure on mammals, there are other intrinsic biological variables, which can influence metal uptake and retention in an individual, such as sex, age, species, tissue sampled, dietary habit, and season of sample collection [6]. Moreover, mammals are also commonly used in toxicological studies as experimental models to assess the risk of toxic exposure in humans [6,7]. In general, the use of animals implies a number of advantages, which provides us temporal and spatial information on the presence of the pollutants.…”

Section: Introduction 11 Wild Terrestrial Mammals As Sentinel Speciesmentioning

confidence: 99%

Non-Invasive Samples for Biomonitoring Heavy Metals in Terrestrial Ecosystems

García-Muñoz¹,

Pérez-López²,

Soler³

et al. 2023

Trace Metals in the Environment

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As highly relevant environmental contaminants, metals and metalloids have been extensively evaluated for decades in biomonitoring programs, due to their potential toxicity at low levels and highly persistent in many ecosystems. When considering chemical analysis, metal quantification has been carried out through conventional methods, based in the determination of their levels in internal organs, such as liver and kidney. Nevertheless, non-invasive methods constitute an alternative response regarding trace elements biomonitoring studies. Specifically, keratinized tissue from terrestrial mammals (such as hair, nails or spines) presents a high accumulation rate, giving relevant information about heavy metal dynamic at internal levels, and most particularly, a chronic exposure. This critical review focuses on the use of non-invasive tissues, mainly hair and spines, as adequate tools on heavy metals assessment, specifically mercury (Hg) and lead (Pb), in biomonitoring studies performed in terrestrial wild mammals.

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“…For example, Cu and Zn are known as essential metals for the human body. However, an excessive intake of Cu and Zn results in vomiting, nausea and can contribute to organs damage (3). The accumulation of Al in the human body can damage the nervous systems (4)(5).…”

Section: Introductionmentioning

confidence: 99%

Health Risks Assessment of Rainwater Pollutants in Jengka, Pahang, Malaysia

Ghazali¹,

Razman²,

Abdullah³

2018

IJET

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Rainwater samples were collected in Jengka, Pahang Malaysia. Temperature, pH, TDS, EC, Al, Cu, Mn, and Zn were measured. The concentrations of heavy metals (Al, Cu, Mn and Zn) in thirty-eight samples were analysed using inductively coupled plasma-mass spectrometry (ICP-MS). Statistical analysis results indicate that pH, TDS, and EC showed significant differences between wet and dry seasons. However, no significant difference was observed seasonally for heavy metals (HMs). All parameters, except pH, were below the Malaysian Drinking Water Guidelines (MDWG) value and the health risk assessment for HMs indicates the safe levels. Principal component analysis (PCA) suggests that HMs in rainwater in Jengka, Pahang were originated from natural and anthropogenic sources.

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Risk Assessment

Cited by 7 publications

References 41 publications

Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring

Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring

Non-Invasive Samples for Biomonitoring Heavy Metals in Terrestrial Ecosystems

Health Risks Assessment of Rainwater Pollutants in Jengka, Pahang, Malaysia

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