ArticleACS ES&T water2021
Development of a Heavy Metal Sensing Boat for Automatic Analysis in Natural Waters Utilizing Anodic Stripping Voltammetry.
Article in ACS ES&T water, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 19 citations in OpenAlex.
- Dip-pen nanolithography-fabricated Bi and Hg meta-chemical surface sensors for ultra-sensitive detection of heavy metals in water.iScience · 2026Article
- Proving the automatic benchtop electrochemical station for the development of dopamine and paracetamol sensors.Mikrochimica acta · 2024Article
- Use of Unmanned Surface Vehicles (USVs) in Water Chemistry Studies.Sensors (Basel, Switzerland) · 2024Article
- Automation and Computerization of (Bio)sensing Systems.ACS sensors · 2024Review
- Metal-free cysteamine-functionalized graphene alleviates mutual interferences in heavy metal electrochemical detection.Green chemistry : an international journal and green chemistry resource : GC · 2023Article
- An innovative autonomous robotic system for on-site detection of heavy metal pollution plumes in surface water.Environmental monitoring and assessment · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Determination of the levels of heavy metal ions would support assessment of sources and pathways of water pollution. However, traditional spatial assessment by manual sampling and off-site detection in the laboratory is expensive and time-consuming and requires trained personnel. Aiming to fill the gap between on-site automatic approaches and laboratory techniques, we developed an autonomous sensing boat for on-site heavy metal detection using square-wave anodic stripping voltammetry. A fluidic sensing system was developed to integrate into the boat as the critical sensing component and could detect ≤1 μg/L Pb, ≤6 μg/L Cu, and ≤71 μg/L Cd simultaneously in the laboratory. Once its integration was completed, the autonomous sensing boat was tested in the field, demonstrating its ability to distinguish the highest concentration of Pb in an effluent of a galena-enriched mine compared to those at other sites in the stream (Osor Stream, Girona, Spain).
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.