Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Quality of Water01:19

Quality of Water

371
In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
371
Testing Water Quality01:14

Testing Water Quality

258
When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
258
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

193
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
193
Regulation of Water Intake01:25

Regulation of Water Intake

2.2K
Osmolality refers to the number of solute particles per kilogram of solvent in a solution. Plasma osmolality specifically indicates the total number of solute particles per kilogram of water in blood plasma. This value reflects the body's hydration status and is tightly regulated through mechanisms controlling water intake and output. While water consumption is a conscious decision, the body has intrinsic regulatory systems to maintain fluid balance. Dehydration, a state of water deficit...
2.2K
Regulation of Water Output01:26

Regulation of Water Output

1.7K
The human body predominantly expels water through the urinary system. On average, an individual generates around 1.5 liters of urine each day. This amount can fluctuate based on how well a person is hydrated, but a critical minimum quantity of urine must be produced to ensure the body's proper functioning. Daily, the kidneys remove 600 to 1200 milliosmoles of dissolved substances, effectively excreting excess minerals and water-soluble toxins such as creatinine, urea, and uric acid from the...
1.7K
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

88
Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
88

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Peer review of the pesticide risk assessment of the active substance flurochloridone.

EFSA journal. European Food Safety Authority·2026
Same author

Peer review of the pesticide risk assessment of the active substance <i>Bacillus paralicheniformis</i> strain FMCH001.

EFSA journal. European Food Safety Authority·2026
Same author

Peer review of the pesticide risk assessment of the active substance <i>Bacillus subtilis</i> strain FMCH002.

EFSA journal. European Food Safety Authority·2026
Same author

Peer review of the pesticide risk assessment of the active substance cymoxanil.

EFSA journal. European Food Safety Authority·2026
Same author

Peer review of the pesticide risk assessment for the active substance bifenazate in light of confirmatory data submitted.

EFSA journal. European Food Safety Authority·2026
Same author

Chemical space blind spots: how chromatographic selectivity dictates chemical measurability and coverage of LC-HRMS comprehensive analysis.

Chemical communications (Cambridge, England)·2026

Related Experiment Video

Updated: Nov 18, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.3K

Development of a framework to derive effect-based trigger values to interpret CALUX data for drinking water quality.

Frederic Been1, Tessa Pronk1, Jochem Louisse2

  • 1KWR Water Research Institute, Groningenhaven 7, 3433BB Nieuwegein, Netherlands.

Water Research
|February 4, 2021
PubMed
Summary

Effect-based trigger (EBT) values help interpret bioassay results for water quality monitoring. This study derived human health EBT values for Chemical Activated LUciferase gene eXpression (CALUX) bioassays, establishing a framework for routine water safety assessments.

Keywords:
CALUXEffect-based trigger valuesbioassaydrinking watermonitoringuncertainty

More Related Videos

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
06:37

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

9.4K
Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

11.6K

Related Experiment Videos

Last Updated: Nov 18, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.3K
Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
06:37

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

9.4K
Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

11.6K

Area of Science:

  • Environmental Science
  • Toxicology
  • Biotechnology

Background:

  • Chemical analyses alone are insufficient for detecting all emerging contaminants in water.
  • Bioassays offer a broader detection capability but require clear interpretation guidelines.
  • Effect-based trigger (EBT) values are crucial thresholds for assessing risks from bioassay responses.

Purpose of the Study:

  • To evaluate methods for determining EBT values.
  • To derive human health EBT values for Chemical Activated LUciferase gene eXpression (CALUX) bioassays for water quality monitoring in the Netherlands.
  • To assess the protective power of derived EBT values through uncertainty analysis.

Main Methods:

  • Evaluation of different EBT value determination approaches.
  • Derivation of human health EBT values for CALUX bioassays.
  • Application of uncertainty analysis to assess EBT value reliability.
  • Comparison of derived EBT values with routine water quality monitoring data.

Main Results:

  • EBT values were successfully determined for four out of eight tested bioassays.
  • Derived EBT values were compared against real-world water quality monitoring data.
  • A framework for calculating and evaluating EBT values for routine monitoring was proposed.

Conclusions:

  • The study successfully derived implementable EBT values for routine water quality monitoring using CALUX bioassays.
  • The proposed framework supports the reliable application of EBT values in assessing drinking water safety.
  • The findings contribute to improved risk assessment and management in water quality monitoring programs.