Exposure Assessment
Exposure Assessment - Related Videos
10:07
Assessing Teratogenic Changes in a Zebrafish Model of Fetal Alcohol Exposure
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Cited by 34 •
2012
In order to understand the molecular mechanisms of the ethanol-induced developmental damage, we have developed a zebrafish model of ethanol exposure and are exploring the physical, cellular, and genetic alterations that occur after ethanol exposure1. We then seek to find potential interventions and rapidly test them in this animal model.
07:07
Assessment of Endothelial Cell Migration After Exposure to Toxic Chemicals
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Cited by 9 •
2015
Investigation of early endothelial cell (EEC) migration is important to understand the pathophysiology of certain illnesses and to potentially identify novel strategies for therapeutic intervention. The following protocol describes techniques to assess cell migration that have been adapted for the investigation of EEC.
02:45
Assessment of Intestinal Permeability in C. elegans Following Bacterial Exposure
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2026
Source: Le, T. A. N., et al., Measuring the Effects of Bacteria and Chemicals on the Intestinal Permeability of Caenorhabditis elegans. J. Vis. Exp. (2019)This video demonstrates a fluorescence-based assay to quantify intestinal permeability in C. elegans exposed to Pseudomonas aeruginosa. Compared to controls fed Escherichia coli, pathogen-treated worms show increased fluorophore leakage into the body cavity, indicating epithelial barrier damage.
09:50
Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
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Cited by 41 •
2015
The aim of this protocol is to expose human organotypic 3D bronchial and nasal tissue models to mainstream cigarette smoke (CS) at the air-liquid interface. The impact of CS on the tissues is then investigated using a cytochrome P450 activity assay, a cilia beating measurement, and a systems biology approach.
07:21
The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content
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Cited by 71 •
2016
The emotional Stroop effect (ESE) is the result of longer naming latencies to ink colors of emotion words than those of neutral words. This report refers to potential sources of confounding and includes a modal experiment that provides the means to control for them.
FAQs
Exposure assessment connects contact patterns to dose estimates by combining where contact occurs, the route involved, source concentration, and the intensity, frequency, and duration of contact. These inputs support estimates of either external dose or internal dose. In bioengineering, that distinction helps relate a material, device, delivery system, or engineered environment to potential dose-dependent biological responses.
An estimate can change when the source concentration, exposure route, or surrounding environmental or experimental conditions change. Contact patterns also matter because intensity, frequency, and duration determine how much opportunity exists for interaction with an agent. Considering these variables together prevents a single concentration or contact event from being treated as the complete exposure picture.
Measurement and sampling supply information about actual conditions, while predictive modeling can estimate exposure under specified environmental or experimental conditions. These approaches can therefore address different information needs: direct characterization of an existing setting versus estimation when conditions or contact patterns must be represented analytically. Both can contribute to external or internal dose estimates.
Exposure routes determine how an agent reaches a person, organism, or biological system, so route information is essential when interpreting measured or predicted exposure. The same source concentration may not describe the same biological situation if contact occurs through different routes. In bioengineering, route-specific evaluation helps characterize responses to devices, biomaterials, delivery systems, or engineered environments.
A practical assessment begins by identifying the relevant physical, chemical, or biological agent and its source. Investigators then characterize routes, source concentrations, environmental or experimental conditions, and contact patterns, including intensity, frequency, and duration. They gather information through measurement or sampling, or apply predictive modeling, and use the resulting exposure characterization to estimate external or internal dose.
It helps identify potential hazards and characterize dose-dependent responses associated with biomaterials and medical devices. The same framework can be applied to drug-delivery systems and engineered biological environments, allowing exposure information to be considered alongside device or process design. These findings support safety evaluation and help determine whether laboratory observations are relevant to intended applications.
Exposure assessment helps connect laboratory findings with the conditions expected in clinical or industrial applications. By examining source concentrations, contact patterns, routes, and dose estimates, investigators can identify whether potential hazards and biological responses remain relevant beyond the experimental setting. This supports risk management, improves device and process safety, and promotes more reliable translation of research outcomes.