4.7 Article

A novel copper (II) binding peptide for a colorimetric biosensor system design

期刊

TALANTA
卷 232, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.talanta.2021.122439

关键词

Biosensor; Copper; Phage display; Genetic engineering; Filamentous phages

资金

  1. Korea Institute of Science and Technology-Europe basic research program [11906, 12006]

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In this study, filamentous bacteriophages were used to identify highly selective Cu(II) binding peptides using phage display technique. The engineered viruses showed strong Cu(II) binding potential, and a biosensor system based on AuNP-peptide was developed for sensitive and selective detection of Cu(II), achieving a detection limit lower than the WHO's accepted guideline.
Filamentous bacteriophages are viruses infecting only bacteria. In this study, phage display technique was applied to identify highly selective Cu(II) binding peptides. After five rounds of positive screening against Cu(II) and various rounds of negative screenings against competitive metal ions (Al(III), Co(II), Fe(III), Ni(II) and Zn (II)), bacteriophages were enriched. Selective Cu(II) binding of final phages was confirmed by Enzyme Linked Immunosorbent Assay (ELISA), Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray spectroscopy (EDX) analyses. 15 phage plaques were randomly selected and sequenced. Cu-5 peptide (HGFANVA) with the highest frequency of occurrence and the strongest Cu(II) affinity was chosen for further Cu(II) detection and removal tests. Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) confirmed the strong Cu(II) binding potential of engineered viruses. Cu-5 peptides were synthetically synthesized with three Cysteine units at C-terminal and a AuNP-peptide biosensor system was developed based on aggregation behavior of AuNPs upon Cu (II) ion treatment. AuNP-based Cu(II) sensor was selective for Cu(II) and the LOD was 91.15 nM (ca. 5.8 x 10(-3) mg/L; 3 sigma/k, n = 5, R-2 = 0.992) for the case study which is considerably lower than the WHO's accepted guideline of 1.3 mg/L. This study provides an interdisciplinary approach to apply short peptides as recognition units for biosensor studies which are user friendly, not bulky and cost-effective.

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