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Reversion of gold nanoparticle aggregates for the detection of Cu2+ and its application in immunoassays

  • Chia Chen Chang
  • , Chung Han Lee
  • , Tzu Heng Wu
  • , Chie Pein Chen
  • , Chen Yu Chen
  • , Chii Wann Lin
  • National Taiwan University
  • Mackay Memorial Hospital Taiwan
  • Industrial Technology Research Institute of Taiwan

Research output: Contribution to journalJournal Article peer-review

14 Scopus citations

Abstract

A high concentration of copper is a hazardous element to organisms and human health. Although various strategies have been reported for the sensitive detection of copper, a facile and rapid detection of aqueous copper has seldom been addressed to date. Here, we present an easy and accessible colorimetric method to detect Cu2+ using the redispersion of cysteamine-modified gold nanoparticles (CA-AuNPs). Initially, CA caused the aggregation of AuNPs due to the electrostatic interaction and aggregated AuNPs can be regenerated in basic medium. The subsequent addition of Cu2+ to the CA-AuNP dispersion could effectively trigger the aggregation of CA-AuNPs, resulting from the coordination reactivity between the deprotonated CA and Cu2+. This strategy resulted in a detection limit (LOD) of 1.52 μM in drinking water, which is below the U.S. Environmental Protection Agency permissible limit (20 μM). To demonstrate the broad application of CA-AuNPs, we further applied this method to plasmonic immunoassays based on the competitive interaction of Cu2+ between CA-AuNPs and enzymes. The LOD of the Down syndrome biomarker hyperglycosylated human chorionic gonadotropin (H-hCG) was 0.125 mIU mL-1, which is better than that of commercial immunoassays. Importantly, the determination of H-hCG in serum indicates its applicability for the measurement of real samples. Our assay agrees well with the current immunoassay systems and thus it can easily be expanded to a more common sensing platform for different types of biotargets by changing the corresponding antibodies.

Original languageEnglish
Pages (from-to)4684-4690
Number of pages7
JournalAnalyst
Volume142
Issue number24
DOIs
StatePublished - 21 12 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© This journal is The Royal Society of Chemistry.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

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