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

You might also read

Related Articles

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

Sort by
Same author

Chemical Compatibility of n-Type Dopants for SWCNT Cathodes in Inverted Perovskite Solar Cells.

Nanomaterials (Basel, Switzerland)·2026
Same author

Upcycling Sugar Cane Biomass into 2G Sugars and Lignin-Derived Biochars for Preparing Carbon-Based Electrodes.

ACS omega·2025
Same author

Metal-Free Inverted Perovskite Solar Cells with N-DMBI-Doped Single-Walled Carbon Nanotubes for Enhanced Charge Transport.

ACS applied materials & interfaces·2025
Same author

Breaking the Perfluorooctane Sulfonate Chain: Piezocatalytic Decomposition of PFOS Using BaTiO<sub>3</sub> Nanoparticles.

Small science·2025
Same author

Quantification of microplastics in <i>Coptodon rendalli</i> and surface waters of Dikgatlhong Dam, Botswana: the first baseline evidence.

Environmental technology·2025
Same author

Smartphone-enabled medical diagnostics and environmental monitoring for rural Africa.

Talanta·2025

Related Experiment Video

Updated: May 10, 2025

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone
07:41

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone

Published on: September 8, 2023

2.7K

Smartphone-Enabled Copper(II) Ion Quantification with an Optical Platform and Image Processing Algorithm.

Harison Rozak1, Achmad Syarif Hidayat2, Sylwia Oleszek3

  • 1Shibaura Institute of Technology Research Laboratories, Saitama 337-8570, Japan.

ACS Omega
|April 28, 2025
PubMed
Summary
This summary is machine-generated.

A smartphone camera quantifies copper(II) ions by measuring solution turbidity after adding dithiooxamide. This cost-effective method offers accurate copper detection for water quality monitoring.

More Related Videos

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
06:00

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection

Published on: January 26, 2024

978
Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone
06:42

Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone

Published on: April 11, 2013

23.6K

Related Experiment Videos

Last Updated: May 10, 2025

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone
07:41

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone

Published on: September 8, 2023

2.7K
Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
06:00

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection

Published on: January 26, 2024

978
Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone
06:42

Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone

Published on: April 11, 2013

23.6K

Area of Science:

  • Analytical Chemistry
  • Environmental Science
  • Optical Sensing

Background:

  • Copper(II) ion (Cu(II)) detection is crucial for water quality assessment.
  • Traditional methods can be expensive and require specialized equipment.
  • Developing accessible and portable detection methods is essential.

Purpose of the Study:

  • To develop and validate a smartphone-based optical method for quantifying Cu(II) ions.
  • To utilize turbidity changes induced by chelation for ion measurement.
  • To assess the method's performance against established analytical techniques.

Main Methods:

  • Cu(II) solutions were treated with dithiooxamide, forming insoluble copper dithiooxamide polymer particles.
  • Light transmission through the turbid solution was captured using a smartphone camera.
  • Image analysis involved RGB to HSV color space conversion and calculation of the V value, correlating to Cu(II) concentration.

Main Results:

  • The V value showed a linear relationship with Cu(II) concentration (0.22-15 mg/L).
  • The method achieved a limit of detection (LOD) of 0.30 mg/L, below WHO guidelines.
  • Results were validated using UV-vis spectroscopy and ICP-MS, with a relative standard deviation (RSD) of 1.2-9%.

Conclusions:

  • Smartphone-based turbidity measurement offers a viable, low-cost approach for Cu(II) quantification.
  • The developed method is sensitive and accurate enough for monitoring copper levels in drinking water.
  • This technology has potential for field-deployable water quality testing.