Trace Metals in Freshwaters

doi:10.1002/9781118274576.ch7

Cited by 1 publication

(1 citation statement)

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“…It has been known that the dissolved CdCl 2 can form Cd 2+ , CdCl + , CdCl 3– , and Cd(OH)Cl. In particular, Cd 2+ as a free ion forms inorganic complexes such as CdOH + , Cd(OH) 2 , Cd(OH) 3– , Cd(OH) 4 2– , and Cd 2 OH 3+ . These complexes are difficult to dissolve in water, causing an increase in the Cd content in water.…”

Section: Aunp-based Colorimetric Sensors For Water Pollutant Detectionmentioning

confidence: 99%

Gold Nanoparticles as Exquisite Colorimetric Transducers for Water Pollutant Detection

Cho

Jung

Heo

et al. 2023

ACS Appl. Mater. Interfaces

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Gold nanoparticles (AuNPs) are useful nanomaterials as transducers for colorimetric sensors because of their high extinction coefficient and ability to change color depending on aggregation status. Therefore, over the past few decades, AuNP-based colorimetric sensors have been widely applied in several environmental and biological applications, including the detection of water pollutants. According to various studies, water pollutants are classified into heavy metals or cationic metal ions, toxins, and pesticides. Notably, many researchers have been interested in AuNP that detect water pollutants with high sensitivity and selectivity, while offering no adverse environmental issues in terms of AuNP use. This review provides a representative overview of AuNP-based colorimetric sensors for detecting several water pollutants. In particular, we emphasize the advantages of AuNP as colorimetric transducers for water pollutant detection in terms of their low toxicity, high stability, facile processability, and unique optical properties. Next, we discuss the status quo and future prospects of AuNP-based colorimetric sensors for the detection of water pollutants. We believe that this review will promote research and development of AuNP as next-generation colorimetric transducers for water pollutant detection.

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Section: Aunp-based Colorimetric Sensors For Water Pollutant Detectionmentioning

confidence: 99%