Detection and Spatial Mapping of Mercury Contamination in Water Samples Using a Smart-Phone

Abstract

Detection of environmental contamination such as trace-level toxic heavy metal ions mostly relies on bulky and costly analytical instruments. However, a considerable global need exists for portable, rapid, specific, sensitive, and cost-effective detection techniques that can be used in resource-limited and field settings. Here we introduce a smart-phone-based hand-held platform that allows the quantification of mercury(II) ions in water samples with parts per billion (ppb) level of sensitivity. For this task, we created an integrated opto-mechanical attachment to the built-in camera module of a smart-phone to digitally quantify mercury concentration using a plasmonic gold nanoparticle (Au NP) and aptamer based colorimetric transmission assay that is implemented in disposable test tubes. With this smart-phone attachment that weighs <40 g, we quantified mercury(II) ion concentration in water samples by using a two-color ratiometric method employing light-emitting diodes (LEDs) at 523 and 625 nm, where a custom-developed smart application was utilized to process each acquired transmission image on the same phone to achieve a limit of detection of 3.5 ppb. Using this smart-phone-based detection platform, we generated a mercury contamination map by measuring water samples at over 50 locations in California (USA), taken from city tap water sources, rivers, lakes, and beaches. With its cost-effective design, field-portability, and wireless data connectivity, this sensitive and specific heavy metal detection platform running on cellphones could be rather useful for distributed sensing, tracking, and sharing of water contamination information as a function of both space and time.

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Document Details

Document Type
Technical Report
Publication Date
Jan 20, 2014
Accession Number
AD1007188

Entities

People

  • Aydoğan Özcan
  • Derek Tseng
  • Eddie Yan
  • Kayvon Sadeghi
  • Qingshan Wei
  • Richie Nagi
  • Romain Caire
  • So J. Ki
  • Steve Feng

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • California
  • Cameras
  • Digestive System Processes
  • Engineers
  • Environment
  • Environmental Protection
  • Heavy Metals
  • Image Processing
  • Metallic Nanoparticles
  • Mobile Phones
  • Monitoring
  • Nanoparticles
  • North America
  • Pharmacology
  • Smartphones
  • Surface Plasmon Resonance
  • United States

Readers

  • Environmental Engineering
  • Image Processing and Computer Vision.
  • Nanoscale Plasmonic Nanotechnology

Technology Areas

  • Biotechnology
  • Biotechnology - Bioremediation
  • Space