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

Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

2.3K
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
2.3K
Gravimetry: Overview01:05

Gravimetry: Overview

13.2K
Gravimetric analysis is a quantitative method where the analyte is isolated and weighed directly or after conversion into a substance of known composition. Gravimetric analysis can be classified as precipitation, electrogravimetry, volatilization, and particulate gravimetry, based on the method used to isolate the analyte.
In precipitation gravimetry, the analyte is converted into a precipitate and weighed. For example, the silver content in a sample can be estimated by precipitating and...
13.2K

You might also read

Related Articles

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

Sort by
Same author

Electrochemical chlorination byproducts (ECBPs): A potential blind spot in electrochemical treatment of waste activated sludge.

Journal of hazardous materials·2026
Same author

Feasibility of longitudinal relaxation rate mapping with non-Cartesian sampling and compressed sensing on a 1.5 T magnetic resonance linear accelerator.

Physics and imaging in radiation oncology·2026
Same author

Integrating causality with temporal fusion transformer for interpretable and probabilistic forecasting of riverine dissolved oxygen.

Journal of environmental management·2026
Same author

Dopant-Strengthened S-Scheme Heterointerfaces in Mo-TiO<sub>2</sub>/Sb<sub>2</sub>S<sub>3</sub> Nanotubes Enable Built-In Field-Driven Charge Channels for Efficient Visible-Light Mineralization of Aromatic VOCs.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Quantifying setup uncertainty between computed tomography guidance and magnetic resonance guidance in intramuscular metastases radiotherapy.

Journal of applied clinical medical physics·2026
Same author

Pressure-Induced Forward-Shift of Proton-Coupled Electron Transfer Step Boosts CO-to-Acetate Throughput.

Advanced materials (Deerfield Beach, Fla.)·2026

Related Experiment Video

Updated: Jan 15, 2026

Data Collection on Marine Litter Ingestion in Sea Turtles and Thresholds for Good Environmental Status
13:18

Data Collection on Marine Litter Ingestion in Sea Turtles and Thresholds for Good Environmental Status

Published on: May 18, 2019

12.5K

How to track the dumped waste? From data collection to advanced source identification.

Wenxi Liang1, Lijia Fan2, Zeguo Yang3

  • 1Hubei Key Laboratory of Multi-media Pollution Cooperative Control in Yangtze Basin, School of Environmental Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Journal of Hazardous Materials
|October 7, 2025
PubMed
Summary

Global waste management needs better traceability. This study explores advanced waste traceability technologies, including AI and blockchain, to address illegal dumping and historical waste stockpiles effectively.

Keywords:
Artificial intelligenceDumpingIdentificationPollution traceabilitySolid waste

More Related Videos

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

12.3K
Standardized Method for Measuring Collection Efficiency from Wipe-sampling of Trace Explosives
07:22

Standardized Method for Measuring Collection Efficiency from Wipe-sampling of Trace Explosives

Published on: April 10, 2017

9.9K

Related Experiment Videos

Last Updated: Jan 15, 2026

Data Collection on Marine Litter Ingestion in Sea Turtles and Thresholds for Good Environmental Status
13:18

Data Collection on Marine Litter Ingestion in Sea Turtles and Thresholds for Good Environmental Status

Published on: May 18, 2019

12.5K
Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

12.3K
Standardized Method for Measuring Collection Efficiency from Wipe-sampling of Trace Explosives
07:22

Standardized Method for Measuring Collection Efficiency from Wipe-sampling of Trace Explosives

Published on: April 10, 2017

9.9K

Area of Science:

  • Environmental Science
  • Waste Management Technology
  • Pollution Control

Background:

  • Global waste generation is increasing, overwhelming current management systems.
  • Deficiencies in technology, infrastructure, and regulation hinder effective waste management.
  • Traceability is crucial for addressing illegal dumping and historical waste stockpiles.

Purpose of the Study:

  • Analyze progress in water and air pollution traceability technologies.
  • Offer insights for developing robust waste traceability frameworks.
  • Establish novel classification and traceability schemes for historical waste.

Main Methods:

  • Review of monitoring, prediction, and tracing techniques for pollution sources.
  • Development of a comprehensive traceability framework for illegally dumped waste.
  • Examination of traditional methods (physicochemical analysis, isotope tracing) for historical waste.
  • Establishment of a novel scheme using laser-induced detection and AI.

Main Results:

  • Water and air pollution traceability have integrated multi-technology systems.
  • A comprehensive framework for illegally dumped waste is proposed, integrating AI, blockchain, and data systems.
  • A new AI-based classification and traceability scheme for historical waste using laser-induced detection was established.

Conclusions:

  • Advanced traceability technologies are essential for improving global waste management.
  • Integrating AI, blockchain, and data systems can enhance the tracking of illegally dumped waste.
  • Novel rapid detection methods coupled with AI offer a promising solution for managing historical waste.