Determination of Gold Ions in Human Urine Using Genetically Engineered Microorganisms on a Paper Device

Kai Hong Guo, Pei Hsuan Chen, Chieh Lin, Chien Fu Chen, I. Ren Lee, Yi Chun Yeh

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This paper presents a whole-cell biosensor that operates in conjunction with a smartphone-based fluorescence diagnostic system on a paper device to monitor the concentration of gold ions in human urine. The heavy metal-tolerant bacteria Cupriavidus metallidurans was genetically engineered for use as a chassis in a red fluorescent protein (RFP)-based microbial sensor. The biosensor is highly sensitive to gold ions, with a detection limit of 110 nM. The proposed smartphone-based analysis system provides a user-friendly approach to design tools of personal health monitoring for reporting the presence of gold ions in human urine.

Original languageEnglish
Pages (from-to)744-748
Number of pages5
JournalACS Sensors
Volume3
Issue number4
DOIs
Publication statusPublished - 2018 Apr 27

Fingerprint

urine
microorganisms
Gold
Microorganisms
Smartphones
Ions
gold
bioinstrumentation
Biosensors
chassis
ions
Chassis
systems analysis
heavy metals
Heavy Metals
bacteria
Heavy metals
health
Bacteria
Fluorescence

Keywords

  • cueR
  • Cupriavidus metallidurans
  • paper device
  • smartphone-based diagnostic system
  • whole-cell biosensor

ASJC Scopus subject areas

  • Bioengineering
  • Instrumentation
  • Process Chemistry and Technology
  • Fluid Flow and Transfer Processes

Cite this

Determination of Gold Ions in Human Urine Using Genetically Engineered Microorganisms on a Paper Device. / Guo, Kai Hong; Chen, Pei Hsuan; Lin, Chieh; Chen, Chien Fu; Lee, I. Ren; Yeh, Yi Chun.

In: ACS Sensors, Vol. 3, No. 4, 27.04.2018, p. 744-748.

Research output: Contribution to journalArticle

Guo, Kai Hong ; Chen, Pei Hsuan ; Lin, Chieh ; Chen, Chien Fu ; Lee, I. Ren ; Yeh, Yi Chun. / Determination of Gold Ions in Human Urine Using Genetically Engineered Microorganisms on a Paper Device. In: ACS Sensors. 2018 ; Vol. 3, No. 4. pp. 744-748.
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