期刊
ACS NANO
卷 8, 期 2, 页码 1121-1129出版社
AMER CHEMICAL SOC
DOI: 10.1021/nn406571t
关键词
smart-phone sensor; mercury detection; colorimetric sensor; gold nanoparticles; aptamers
类别
资金
- Presidential Early Career Award for Scientists and Engineers (PECASE)
- Army Research Office (ARO) Life Sciences Division
- ARO Young Investigator Award
- National Science Foundation (NSF) CAREER Award
- NSF CBET Division Biophotonics Program
- NSF Emerging Frontiers in Research and Innovation (EFRI) Award
- Office of Naval Research (ONR)
- National Institutes of Health (NIH) Director's New Innovator Award from the Office of the Director, National Institutes of Health [DP2OD006427]
- Directorate For Engineering [0954482] Funding Source: National Science Foundation
- Div Of Chem, Bioeng, Env, & Transp Sys [0954482] Funding Source: National Science Foundation
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 similar to 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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